<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    aim
   </journal-id>
   <journal-title-group>
    <journal-title>
     Advances in Microbiology
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2165-3402
   </issn>
   <issn publication-format="print">
    2165-3410
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/aim.2025.1511042
   </article-id>
   <article-id pub-id-type="publisher-id">
    aim-147635
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Biomedical 
     </subject>
     <subject>
       Life Sciences
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Bioactivities of Polyphenols, Polysaccharides, and Oligosaccharides Derived from Two West African Ganoderma Species
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Erute Magdalene
      </surname>
      <given-names>
       Adongbede
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Motunrayo Titi
      </surname>
      <given-names>
       Sholola
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Janak
      </surname>
      <given-names>
       Khatiwada
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Leonard Lamar
      </surname>
      <given-names>
       Williams
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aCenter for Excellence in Post-Harvest Technologies, North Carolina Agricultural&amp;Technical State University, Kannapolis, NC, USA
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aDepartment of Botany, University of Lagos, Lagos, Nigeria
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     05
    </day> 
    <month>
     11
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    15
   </volume> 
   <issue>
    11
   </issue>
   <fpage>
    647
   </fpage>
   <lpage>
    675
   </lpage>
   <history>
    <date date-type="received">
     <day>
      3,
     </day>
     <month>
      September
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      25,
     </day>
     <month>
      September
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      25,
     </day>
     <month>
      November
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    Ganoderma species are medicinal polypore fungi with documented antioxidant, antimicrobial, and anticancer activities. Although G. lucidum has been widely studied, African species have received less attention. This study examined two recently identified West African species: Ganoderma enigmaticum M.P.A. and Ganoderma mbrekobenum E. C. Otto. Species verification was performed by sequencing the ITS1-5.8S-ITS2 rDNA region. Polyphenols, polysaccharides, and oligosaccharides were extracted from lyophilized fruiting bodies and chemically analyzed using Folin-Ciocalteu and Anthrone assays. Antioxidant activity was measured using the DPPH radical scavenging assay, and antibacterial effects against Escherichia coli O157:H7 and methicillin-resistant Staphylococcus aureus were evaluated via the broth microdilution method. Anticancer effects of extracts were tested on HepG2, HCT116, and MDA-MB-231 cell lines using the XTT assay. G. enigmaticum exhibited higher concentrations of phenolics and carbohydrates; the oligosaccharide from G. mbrekobenum demonstrated greater antioxidant (~90% inhibition) and antibacterial activity (90% - 98% inhibition). Polyphenolic and polysaccharide extracts from both species inhibited cancer cell proliferation, with G. mbrekobenum phenolics showing a low IC
    <sub>50</sub> value (7.70 μg/mL) against HepG2, and polysaccharides from G. enigmaticum recording IC
    <sub>50</sub> values of 7.75 μg/mL and 7.91 μg/mL for MDA-MB-231 and HCT116 cells, respectively. The findings suggest that metabolites derived from tropical Ganoderma species merit additional investigations for their potential use as nutraceuticals and therapeutic agents.
   </abstract>
   <kwd-group> 
    <kwd>
     Nutraceutical
    </kwd> 
    <kwd>
      Therapeutics
    </kwd> 
    <kwd>
      Drug Discovery
    </kwd> 
    <kwd>
      Cancer Cells
    </kwd> 
    <kwd>
      Antimicrobial Resistance
    </kwd> 
    <kwd>
      Ganoderma spp.
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>The growing rates of infectious diseases and cancer are linked to increasing antimicrobial resistance and the limited effectiveness and safety of current chemotherapy <xref ref-type="bibr" rid="scirp.147635-1">
     [1]
    </xref>. Antimicrobial resistance (AMR) poses significant challenges in the treatment of bacterial infections and introduces heightened risks for immunocompromised patients receiving cancer therapy <xref ref-type="bibr" rid="scirp.147635-2">
     [2]
    </xref>. Additionally, certain cancer types continue to be refractory to current treatments, highlighting the critical requirement for more effective, broad-spectrum antimicrobial agents and improved anticancer therapies—objectives that are fundamental to this research.</p>
   <p>Recent research has focused on medicinal mushrooms as sources of structurally diverse bioactive compounds with promising pharmacological properties, including antimicrobial and anticancer activities. The genus Ganoderma P. Karst (Family: Ganodermataceae) is particularly notable, given its extensive application in traditional medicine throughout East Asia for treating and preventing various diseases <xref ref-type="bibr" rid="scirp.147635-3">
     [3]
    </xref>.</p>
   <p>Members of this genus are taxonomically characterized as wood-decaying polypores with basidiomes ranging from coriaceous to woody. These species exhibit notable morphological distinctions and diversity; for example, members of the Ganoderma lucidum complex are characterized by laccate (varnished) basidiocarps, whereas species such as G. applanatum possess non-laccate fruiting bodies <xref ref-type="bibr" rid="scirp.147635-4">
     [4]
    </xref>. Comprehensive myco-chemical analyses have identified over 400 bioactive constituents within Ganoderma species, such as triterpenoids, phenolic derivatives, peptidoglycans, and various polysaccharides <xref ref-type="bibr" rid="scirp.147635-3">
     [3]
    </xref>. These bioactive metabolites, including both primary and secondary compounds, exhibit a range of biological activities encompassing antimicrobial, antioxidant, anti-inflammatory, antidiabetic, immunomodulatory, and anticancer effects <xref ref-type="bibr" rid="scirp.147635-5">
     [5]
    </xref>. Notably, mushroom-derived polysaccharides, especially β-glucans, enhance immune responses through the activation of macrophages, T cells, and natural killer (NK) cells <xref ref-type="bibr" rid="scirp.147635-6">
     [6]
    </xref>.</p>
   <p>Triterpenoids like ganoderic acids have demonstrated cytotoxicity against cancer cells via apoptosis and autophagy. There is a growing focus on ethanol-soluble low-molecular-weight carbohydrates, especially oligosaccharides, which possess structural simplicity and enhanced bioavailability. These compounds are currently under investigation for their potential prebiotic, probiotic, antioxidant, immunomodulatory, antimicrobial, anticancer, and antiviral properties <xref ref-type="bibr" rid="scirp.147635-7">
     [7]
    </xref> <xref ref-type="bibr" rid="scirp.147635-8">
     [8]
    </xref>.</p>
   <p>Although extensive research has been conducted on the Ganoderma species complex, most studies focus on a narrow range of Asian species, particularly Ganoderma lucidum, leaving the diversity and pharmacological attributes of tropical fungi, especially those from West Africa, unexamined. The West African region is rich in fungal biodiversity, yet the pharmacological potential of its indigenous polypore mushrooms has been sparsely documented.</p>
   <p>Recent taxonomic studies have described two novel species—Ganoderma enigmaticum and Ganoderma mbrekobenum—from the forested regions of Ghana and Nigeria <xref ref-type="bibr" rid="scirp.147635-9">
     [9]
    </xref>. Initial morphological and molecular studies confirm that they are distinct from species from other regions of the world, suggesting potential for new therapeutic discoveries.</p>
   <p>Geographical factors such as climate, soil, and altitude affect the production and potency of fungal secondary metabolites <xref ref-type="bibr" rid="scirp.147635-10">
     [10]
    </xref>. For example, the sclerotia of the mushroom Inonotus obliquus from France, Ukraine, and Canada differ in triterpene content and anticancer activity <xref ref-type="bibr" rid="scirp.147635-5">
     [5]
    </xref> <xref ref-type="bibr" rid="scirp.147635-11">
     [11]
    </xref>. These findings indicate that wild mushrooms originating from West Africa may possess distinctive biochemical properties, positioning them as potential sources of new antimicrobial, anticancer, and nutraceutical agents.</p>
   <p>In most regions of West Africa, traditional medicine frequently utilizes alcohol and water as solvents for herbal extraction and decoction preparation; nevertheless, the scientific validity and efficacy of these methods remain insufficiently substantiated. While aqueous extracts are noted for their significant bioactive polysaccharide content, the therapeutic potential of ethanol-soluble oligosaccharides obtained from African polypore fungi has not yet been rigorously investigated.</p>
   <p>Based on the chemical profiles of Ganoderma species, we suggest that polyphenols, polysaccharides, and oligosaccharides from the West African species G. enigmaticum and G. mbrekobenum may possess distinct antioxidant, antibacterial, and anticancer activities. This study investigates these properties in compounds isolated from specimens collected in Nigeria. Polysaccharides are characterized as high molecular weight compounds, whereas oligosaccharides are ethanol-soluble with lower molecular weights. Antioxidant activity was determined by DPPH radical inhibition assays; antibacterial efficacy was assessed against clinically relevant bacterial strains and serotypes; and anticancer effects were evaluated in vitro utilizing human hepatocellular carcinoma (HepG2), colorectal carcinoma (HCT116), and triple-negative breast cancer (MDA-MB-231) cell lines. To the best of our knowledge, these findings constitute the first reports detailing the biological activities of G. mbrekobenum and G. enigmaticum as novel species originating from West Africa.</p>
  </sec><sec id="s2">
   <title>2. Materials and Methods</title>
   <sec id="s2_1">
    <title>2.1. Collection and Identification of Wild Mushroom Specimens</title>
    <p>Fresh fruit bodies of Ganoderma enigmaticum and G. mbrekobenum were collected from dead palm tree substrates in Lagos, Nigeria, at two separate locations (<xref ref-type="fig" rid="fig1">
      Figure 1
     </xref>) (GPS: 006˚30'48''N 003˚23'47''E and 006˚51'61''N 003˚38'92''E, respectively).</p>
    <fig id="fig1" position="float">
     <label>Figure 1</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 1. Basidiomata of (a) Ganoderma enigmaticum M.P.A. Coetzee, (b) Ganoderma mbrekodenum E. C. Otto.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId17.jpeg?20251128095544" />
    </fig>
    <p>Macroscopic and microscopic characteristics were used for identification with standard mycological manuals based on key morphological traits <xref ref-type="bibr" rid="scirp.147635-12">
      [12]
     </xref> <xref ref-type="bibr" rid="scirp.147635-13">
      [13]
     </xref>. Representative voucher specimens were deposited at the University of Lagos Herbarium, Lagos, Nigeria (with Herbarium Voucher Specimen number—LUH8947 for Ganoderma mbrekobenum, and LUH8961 for Ganoderma enigmaticum). Morphological identification of polypore fungi/mushrooms was confirmed by Professor Erute M. Adongbede, and specimen curation was supervised by Dr. Akeem B. Kadiri at the University of Lagos Herbarium.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Molecular Characterization</title>
    <p>Genomic DNA was isolated from approximately 100 mg of dried fungal tissue using the Norgen Biotek Plant/Fungi DNA Isolation Kit (Ontario, Canada), following the manufacturer’s protocol. Samples were lysed with 500 µL Lysis Buffer and 1 µL RNase A, then incubated at 65˚C for 10 minutes. DNA was purified using filter columns, eluted with the supplied buffer, and its quality and concentration were assessed using a NanoDrop spectrophotometer. The internal transcribed spacer (ITS) region was amplified by polymerase chain reaction (PCR) with primers ITS1-Forward (5'-TCC GTA GGT GAA CCT GCG G-3') and ITS4-Reverse (5'-TCC TCC GCT TAT TGA TAT GC-3'), sourced from IDT (Coralville, IA, USA).</p>
    <p>PCR was performed with Solis BioDyne 5X Master Mix in a Prime thermal cycler (PRIMEX/02, Cole-Parmer Ltd, UK) using the following program: 95˚C for 5 min; 35 cycles of 95˚C for 40 s, 55˚C for 1 min, 72˚C for 1 min; and 72˚C for 10 min. Amplicons were detected on 1.5% agarose gels stained with ethidium bromide using a Bio-Rad Gel Doc EZ imager.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Sequence Alignment and Phylogenetic Analysis</title>
    <p>Sanger sequencing of purified PCR products was conducted by Eurofins Genomics (Ebersberg, Germany) utilizing ITS primers. Consensus sequences were assembled and curated using Geneious Prime (Version 2025.1.2). Sequence similarity searches were performed against the NCBI GenBank and UNITE databases using BLAST. Phylogenetic analyses were conducted employing the Maximum Likelihood method in MEGA X, with robustness evaluated via bootstrap analysis comprising five hundred replicates. Herbarium voucher specimens were deposited at the University of Lagos Herbarium, and corresponding sequence data were submitted to NCBI GenBank under their designated accession numbers.</p>
   </sec>
   <sec id="s2_4">
    <title>2.4. Extraction of Polyphenols</title>
    <p>A total of ten grams of powdered tissue were stirred in 200 mL of 70% methanol containing 1% formic acid at 250 rpm overnight, following the protocols outlined by Xiang et al. (2024) <xref ref-type="bibr" rid="scirp.147635-14">
      [14]
     </xref>, with modifications. The mixture underwent additional ultrasonication for 10 minutes at 40˚C, followed by centrifugation at 12,000 rpm to remove debris. The resulting filtrates were collected and concentrated at 40˚C under reduced pressure, after which the concentrate was lyophilized. The final powdered extract was weighed and reconstituted in sterile deionized water to prepare a 100 mg/mL stock solution, which was stored at 4˚C.</p>
   </sec>
   <sec id="s2_5">
    <title>2.5. Extraction of Polysaccharides and Oligosaccharides</title>
    <p>Polysaccharides were isolated from 10 g of lyophilized and pulverized fruiting bodies through extraction in 300 mL of distilled water at 100˚C for 2 hours, followed by two additional extractions of 1 hour each. The combined aqueous extracts were filtered, concentrated under reduced pressure at 60˚C, frozen, and subjected to lyophilization. The resulting material was redissolved, and polysaccharides were precipitated using 80% ethanol at 4˚C overnight. After centrifugation at 10,000 rpm for 10 minutes, the precipitate was freeze-dried and weighed.</p>
    <p>Oligosaccharides were isolated from 10 g of lyophilized, pulverized mushroom tissue using 85% ethanol at 50˚C for one hour, with continuous magnetic stirring at 150 rpm. The resulting extracts were centrifuged at 14,000 rpm for 30 minutes and evaporated to dryness under reduced pressure via rotary evaporation, then redissolved in sterile deionized water. Low molecular weight compounds (oligosaccharides) were purified and separated from high molecular weight substances by 80% ethanol precipitation at 4˚C overnight. The recovered oligosaccharides were concentrated, subjected to lyophilization, redissolved in distilled water, and sequentially filtered through 0.45 µm and 0.22 µm membranes prior to use <xref ref-type="bibr" rid="scirp.147635-15">
      [15]
     </xref>.</p>
   </sec>
   <sec id="s2_6">
    <title>2.6. Determination of Total Phenolic Content (TPC)</title>
    <p>TPC was determined using the Folin-Ciocalteu assay kit (Bioquochem), with all assays conducted in triplicate on 96-well plates and gallic acid employed as the standard following the manufacturer’s instructions. Absorbance was recorded at 700 nm. Results were reported as mg gallic acid equivalent (GAE) per gram of dry extract.</p>
   </sec>
   <sec id="s2_7">
    <title>2.7. Total Carbohydrate Content in Polysaccharide and Oligosaccharide Fractions</title>
    <p>Total carbohydrate content was determined using the phenol-sulfuric acid method with the Abcam Total Carbohydrate Quantification Kit (ab155891) in 96-well microtiter plates. Glucose standard curves were prepared, and samples consisting of polysaccharides and oligosaccharides from G. enigmaticum and G. mbrekobenum (30 µL), at concentrations of 25, 50, 75, and 100 mg/mL, were incubated with 150 µL concentrated H<sub>2</sub>SO<sub>4</sub> and 30 µL developer solution. Absorbance values were measured at 490 nm, and carbohydrate concentrations were quantified as glucose equivalents.</p>
   </sec>
   <sec id="s2_8">
    <title>2.8. Antioxidant Activity-DPPH Radical Scavenging Assay</title>
    <p>Antioxidant activity was evaluated utilizing the DPPH assay kit (Abcam ab289847), following the protocol established by Zangeneh et al. (2025) <xref ref-type="bibr" rid="scirp.147635-16">
      [16]
     </xref>. Extracts were evaluated at concentrations of 25, 50, 75, and 100 mg/mL in triplicate. Trolox was employed as the standard reference compound. Absorbance was recorded at 517 nm, and IC50 values were determined from the generated dose-response curves.</p>
   </sec>
   <sec id="s2_9">
    <title>2.9. Antibacterial Assay (Broth Microdilution Method)</title>
    <p>Antibacterial activity was assessed following CLSI guidelines (2012) against Escherichia coli O157:H7 (ATCC BAA-3162) and MRSA Staphylococcus aureus (ATCC 700798). Bacteria were diluted to 5 × 10<sup>5</sup> CFU/well and incubated with 25, 50, 75, and 100 mg/mL concentrations of each extract, positive (Ciprofloxacin and Ceftazidime (2.5, 5.0, 7.5, and 1.00 mg/mL)) and negative controls in 96-well microtiter plates in three replications/wells. Absorbance was measured at 600 nm using a BioTek Instruments microplate reader. Percentage inhibition and IC<sub>50</sub> values were calculated using GraphPad Prism 10.6.0.</p>
    <p>Cell lines—HepG2 (ATCC-HB-8065; hepatocellular carcinoma), HCT116 (ATCC-SLC25A16-KO-c7; colorectal adenocarcinoma), and MDA-MB231 (ATCC-HTB-26)—were obtained from the American Type Culture Collection (ATCC) and cultured in their respective media: Eagle’s Minimum Essential Medium, McCoy’s 5A, and RPMI 1640, each supplemented with 10% FBS. Cell viability and cytotoxicity were assessed using the 2,3-Bis (2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazolium-5-carboxanilide salt (XTT) Cell Proliferation Assay Kit (ATCC), with absorbance measured at 475 nm and 660 nm using a microplate reader (BioTek). Cells were seeded at a density of 5000 per well in 96-well plates and exposed to varying concentrations of extract (25 - 100 µg/mL) as well as the standard anticancer drug cisplatin for 24 and 48 hours. Percentage inhibition and IC<sub>50</sub> values were calculated from dose-response curves using GraphPad Prism Software.</p>
    <p>Data were expressed as mean ± SD, and differences between groups were analyzed by ordinary two-way ANOVA (P &lt; 0.05). Half maximal inhibitory concentrations/effective doses (IC<sub>50</sub> values) were derived from non-linear regression using GraphPad Prism 10.6.0 (CA, USA).</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results</title>
   <sec id="s3_1">
    <title>3.1. Identification of Wild Ganoderma Specimens</title>
    <p>The specimens ULSH/M137 and ULSC/M006 were identified as Ganoderma enigmaticum and Ganoderma mbrekobenum, respectively, based on morphological and molecular features. G. enigmaticum exhibited a fan-shaped, laccate pileus with concentric reddish-brown zones, while G. mbrekobenum displayed a thicker, circular, and velvety pileus (<xref ref-type="fig" rid="fig1">
      Figure 1
     </xref>). Both species showed lateral stipes and brown pore surfaces typical of Ganoderma species. Herbarium voucher specimens were deposited at the University of Lagos Herbariums as LUH8961 (G. enigmaticum) and LUH8947 (G. mbrekobenum), with ITS sequences submitted to GenBank with accession numbers OK324048 and OK324049, respectively.</p>
    <p>NCBI Mega-Blast analysis confirmed species identity: LUH8961 shared 99.68% similarity with Ganoderma enigmaticum voucher Ghana 1a/938398 (GenBank accession KR150678.1), while LUH8947 showed a 100% identity match with Ganoderma mbrekobenum voucher UMN7-4 GHA (GenBank accession KX000898.1).</p>
    <p>The ITS sequence for specimen ULSH/M137 (voucher LUH8961) showed a 99.68% similarity to the GenBank record for Ganoderma enigmaticum voucher Ghana 1a/938398 18S ribosomal RNA gene and internal transcribed spacer 2, complete sequence (GenBank accession KR150678.1). The ITS sequence blast of specimen ULSH/M137 (voucher LUH8947) indicated a 100% identity with the NCBI repository record for Ganoderma mbrekobenum voucher UMN7-4 GHA 18S ribosomal RNA gene and ITS 2, complete sequence (GenBank accession KX000898.1). A maximum likelihood phylogenetic tree constructed using ITS sequences from GenBank clustered both species within their respective clades with strong bootstrap support (99% - 100%; <xref ref-type="fig" rid="fig2">
      Figure 2
     </xref> and <xref ref-type="fig" rid="fig3">
      Figure 3
     </xref>).</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Extract Yields and Chemical Composition</title>
    <p>Polyphenol fractions yielded the highest dry weight for both Ganoderma species, followed by oligosaccharides and polysaccharides (<xref ref-type="fig" rid="fig4">
      Figure 4
     </xref>). Two-way ANOVA indicated significant effects of species (84.93% variance, P &lt; 0.0001), extract type (7.01%, P &lt; 0.0001), and their interaction (6.95%, P &lt; 0.0001) on yield (<xref ref-type="table" rid="tableS1">
      Table S1
     </xref>).</p>
    <p>Oligosaccharide fraction contained the highest carbohydrate concentrations in both species, while G. mbrekobenum polysaccharides showed the least (<xref ref-type="fig" rid="fig5">
      Figure 5
     </xref>). Total phenolic content was significantly higher in G. enigmaticum (~300 mg GAE/g dry extract) than in G. mbrekobenum (<xref ref-type="fig" rid="fig5">
      Figure 5
     </xref>; P &lt; 0.0001; <xref ref-type="table" rid="tableS2">
      Table S2
     </xref>).</p>
    <fig id="fig2" position="float">
     <label>Figure 2</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 2. Maximum likelihood tree based on ITS sequences showing the relationship of G. mbrekobenum to related taxa. Bootstrap values are shown at the nodes. Sequences from this study are marked in bold.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId18.jpeg?20251128095555" />
    </fig>
    <fig id="fig3" position="float">
     <label>Figure 3</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 3. Maximum likelihood tree based on ITS sequences showing the relationship of G. enigmaticum to related taxa. Bootstrap values are shown at the nodes. Sequences from this study are marked in bold.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId19.jpeg?20251128095555" />
    </fig>
    <fig id="fig4" position="float">
     <label>Figure 4</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 4. Yield of polyphenols, polysaccharides, and oligosaccharides from G. enigmaticum and G. mbrekobenum.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId20.jpeg?20251128095555" />
    </fig>
    <fig id="fig5" position="float">
     <label>Figure 5</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 5. Chemical Composition of Extracts from Ganoderma spp.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId21.jpeg?20251128095555" />
    </fig>
   </sec>
   <sec id="s3_3">
    <title>3.3. Antioxidant Activity</title>
    <p>All extract types demonstrated dose-dependent DPPH radical scavenging activity (<xref ref-type="fig" rid="fig6">
      Figure 6
     </xref>). Oligosaccharide fractions exhibited the strongest effects (80% - 90%), followed by polysaccharides (70% - 88%) and polyphenols (50% - 60%). The two-way ANOVA revealed significant contributions of concentration (81.57% variation, P &lt; 0.0001), extract type (14.54%, P &lt; 0.0001), and the interaction was significant (2.87%, P &lt; 0.05) (<xref ref-type="table" rid="tableS3">
      Table S3
     </xref>).</p>
    <p>G. mbrekobenum extracts consistently outperformed those of G. enigmaticum. Its oligosaccharides showed lower half maximal inhibitory concentration (IC<sub>50</sub>) values (<xref ref-type="table" rid="table1">
      Table 1
     </xref>), and its polyphenol fractions reached ~65% activity at 100 mg/mL compared to ~55% for G. enigmaticum. Interestingly, G. enigmaticum polysaccharides demonstrated higher activity than its polyphenols (<xref ref-type="fig" rid="fig6">
      Figure 6
     </xref>). Overall, G. mbrekobenum exhibited greater antioxidant potential.</p>
    <fig id="fig6" position="float">
     <label>Figure 6</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 6. Concentration-dependent DPPH radical scavenging activity of Ganoderma enigmaticum and G. mbrekobenum.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId22.jpeg?20251128095556" />
    </fig>
   </sec>
   <sec id="s3_4">
    <title>3.4. Antibacterial Activity</title>
    <p>Extracts inhibited Escherichia coli and Staphylococcus aureus in a dose-dependent manner (<xref ref-type="fig" rid="fig7">
      Figure 7
     </xref> and <xref ref-type="fig" rid="fig8">
      Figure 8
     </xref>). Polyphenol and oligosaccharide fractions were the most effective, particularly from G. mbrekobenum against E. coli (~95% inhibition at 100 mg/mL). Two-way ANOVA showed significant effects of concentration and extract/antibiotic type (P &lt; 0.0001), with no interactions (P = 0.4186) (<xref ref-type="table" rid="tableS4">
      Table S4
     </xref>).</p>
    <fig id="fig7" position="float">
     <label>Figure 7</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 7. Dose-dependent inhibition of Escherichia coli by extracts of Ganoderma enigmaticum and G. mbrekobenum.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId23.jpeg?20251128095557" />
    </fig>
    <p>Oligosaccharide fractions, especially from G. mbrekobenum, exhibited the highest dose-dependent inhibition of S. aureus, while polysaccharides showed comparatively lower activity (<xref ref-type="fig" rid="fig8">
      Figure 8
     </xref>). There was no significant difference between the two species for the polyphenol fraction, but a slight variation was observed in the polysaccharide and oligosaccharide fractions, with G. mbrekobenum outperforming G. enigmaticum (<xref ref-type="fig" rid="fig8">
      Figure 8
     </xref>).</p>
    <fig id="fig8" position="float">
     <label>Figure 8</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 8. Dose-dependent inhibition of Staphylococcus aureus by extracts of Ganoderma enigmaticum and G. mbrekobenum.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId24.jpeg?20251128095557" />
    </fig>
    <p>Ciprofloxacin showed strong, dose-dependent inhibition of E. coli and S. aureus, whereas Ceftazidime was moderately effective against E. coli but displayed markedly weaker activity against S. aureus (<xref ref-type="fig" rid="fig9">
      Figure 9
     </xref>). Compared to the test extracts, ciprofloxacin exhibited strong inhibition of both E. coli and S. aureus, while Ceftazidime was less effective, particularly against S. aureus, where inhibition was markedly lower than that observed with Ganoderma oligosaccharide fractions (<xref ref-type="fig" rid="figFigures 7-9">
      Figures 7-9
     </xref>).</p>
    <fig id="fig9" position="float">
     <label>Figure 9</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 9. Dose-dependent inhibition of test bacteria by standard antibiotics.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId25.jpeg?20251128095557" />
    </fig>
    <p>The two-way ANOVA also showed a consistent dose-dependent effect of extracts from the two test mushrooms and control antibiotics on the growth of S. aureus (P &lt; 0.0001). There was also no significant interaction across treatments (P = 0.7748) (<xref ref-type="table" rid="tableS5">
      Table S5
     </xref>).</p>
    <p>All extracts showed strong anti-Staphylococcus activity (&gt;80%), with G. enigmaticum oligosaccharide having the lowest IC<sub>50</sub> (6.96 mg/mL), followed by G. mbrekobenum polysaccharide (8.70 mg/mL) (<xref ref-type="table" rid="table1">
      Table 1
     </xref>; <xref ref-type="fig" rid="fig8">
      Figure 8
     </xref>). These values were comparable to the IC<sub>50</sub> of ciprofloxacin (~7.50 - 8.80 mg/mL), a standard broad-spectrum antibiotic (<xref ref-type="table" rid="table1">
      Table 1
     </xref>). S. aureus was marginally inhibited by ceftazidime in vitro and had the highest IC<sub>50</sub> values 18.04 (95% CI: 15.25 - 22.91) (<xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Table 1. Half-maximal inhibitory concentrations (IC<sub>50</sub>) of extracts against DPPH radicals, E. coli, and S. aureus (mg/mL).</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td rowspan="2" class="acenter" width="14.91%"><p style="text-align:center">Extracts and</p><p style="text-align:center">Controls</p></td> 
       <td class="custom-bottom-td acenter" width="39.59%" colspan="3"><p style="text-align:center">G. enigmaticum</p><p style="text-align:center">IC<sub>50</sub> (mg/mL) [95% CI]</p></td> 
       <td class="custom-bottom-td acenter" width="39.12%" colspan="3"><p style="text-align:center">G. mbrekobenum</p><p style="text-align:center">IC<sub>50</sub> (mg/mL) [95% CI]</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="12.96%"><p style="text-align:center">DPPH<sup>●</sup></p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.03%"><p style="text-align:center">E. coli</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.59%"><p style="text-align:center">S. aureus</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="12.49%"><p style="text-align:center">DPPH<sup>●</sup></p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.03%"><p style="text-align:center">E. coli</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.59%"><p style="text-align:center">S. aureus</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="14.91%"><p style="text-align:center">Polyphenol</p></td> 
       <td class="custom-top-td acenter" width="12.96%"><p style="text-align:center">95.36</p><p style="text-align:center">(90.01 - 102.10)</p></td> 
       <td class="custom-top-td acenter" width="13.03%"><p style="text-align:center">7.70</p><p style="text-align:center">(3.64 - 11.59)</p></td> 
       <td class="custom-top-td acenter" width="13.59%"><p style="text-align:center">15.59</p><p style="text-align:center">(8.63 - 21.39)</p></td> 
       <td class="custom-top-td acenter" width="12.49%"><p style="text-align:center">75.21</p><p style="text-align:center">(70.00 - 80.78)</p></td> 
       <td class="custom-top-td acenter" width="13.03%"><p style="text-align:center">10.50</p><p style="text-align:center">(5.66 - 14.81)</p></td> 
       <td class="custom-top-td acenter" width="13.59%"><p style="text-align:center">10.33</p><p style="text-align:center">(4.60 - 15.47)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.91%"><p style="text-align:center">Polysaccharide</p></td> 
       <td class="acenter" width="12.96%"><p style="text-align:center">65.47</p><p style="text-align:center">(61.57 - 69.61)</p></td> 
       <td class="acenter" width="13.03%"><p style="text-align:center">13.29</p><p style="text-align:center">(10.42 - 15.93)</p></td> 
       <td class="acenter" width="13.59%"><p style="text-align:center">8.95</p><p style="text-align:center">(1.75 - 15.75)</p></td> 
       <td class="acenter" width="12.49%"><p style="text-align:center">50.85</p><p style="text-align:center">(45.08 - 56.68)</p></td> 
       <td class="acenter" width="13.03%"><p style="text-align:center">15.74</p><p style="text-align:center">(10.38 - 20.31)</p></td> 
       <td class="acenter" width="13.59%"><p style="text-align:center">8.70</p><p style="text-align:center">(2.15 - 15.00)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.91%"><p style="text-align:center">Oligosaccharide</p></td> 
       <td class="acenter" width="12.96%"><p style="text-align:center">50.96</p><p style="text-align:center">(45.68 - 56.29)</p></td> 
       <td class="acenter" width="13.03%"><p style="text-align:center">8.91</p><p style="text-align:center">(4.25 - 13.03)</p></td> 
       <td class="acenter" width="13.59%"><p style="text-align:center">6.96</p><p style="text-align:center">(1.14 - 12.84)</p></td> 
       <td class="acenter" width="12.49%"><p style="text-align:center">49.85</p><p style="text-align:center">(44.46 - 55.29)</p></td> 
       <td class="acenter" width="13.03%"><p style="text-align:center">9.56</p><p style="text-align:center">(3.87 - 14.51)</p></td> 
       <td class="acenter" width="13.59%"><p style="text-align:center">9.11</p><p style="text-align:center">(2.72 - 14.89)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.91%"><p style="text-align:center">Ciprofloxacin</p></td> 
       <td class="acenter" width="12.96%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="13.03%"><p style="text-align:center">0.88</p><p style="text-align:center">(0.6406 - 1.099)</p></td> 
       <td class="acenter" width="13.59%"><p style="text-align:center">0.76</p><p style="text-align:center">(0.4207 - 1.086)</p></td> 
       <td class="acenter" width="12.49%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="13.03%"><p style="text-align:center">0.88</p><p style="text-align:center">(0.0641 - 0.1099)</p></td> 
       <td class="acenter" width="13.59%"><p style="text-align:center">0.76</p><p style="text-align:center">(0.4207 - 1.086)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.91%"><p style="text-align:center">Ceftazidime</p></td> 
       <td class="acenter" width="12.96%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="13.03%"><p style="text-align:center">0.14</p><p style="text-align:center">(0.1101 - 0.1764)</p></td> 
       <td class="acenter" width="13.59%"><p style="text-align:center">18.04</p><p style="text-align:center">(15.25 - 22.91)</p></td> 
       <td class="acenter" width="12.49%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="13.03%"><p style="text-align:center">0.14</p><p style="text-align:center">(0.1101 - 0.1764)</p></td> 
       <td class="acenter" width="13.59%"><p style="text-align:center">18.04</p><p style="text-align:center">(15.25 - 22.91)</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Values are IC<sub>50</sub> estimates from nonlinear regression analysis, expressed with 95% confidence intervals (CI), computed in GraphPad Prism (Version 10.5.0).</p>
    <p>The half maximal inhibitory or effective concentrations (IC<sub>50</sub> values) were consistent with these inhibition patterns, with the polyphenol extracts of G. enigmaticum displaying the lowest IC<sub>50</sub> values against E. coli (7.70 mg/mL) with a 95% confidence interval (CI) (<xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
   </sec>
   <sec id="s3_5">
    <title>3.5. Anticancer Activity</title>
    <p>Polyphenol fractions significantly inhibited the proliferation of HepG2 and HCT116 cells, while polysaccharide fractions were most effective against MDA-MB-231 cells (<xref ref-type="fig" rid="figFigures 10-13">
      Figures 10-13
     </xref>). Overall, G. mbrekobenum extracts were more potent than those from G. enigmaticum, and comparable to cisplatin.</p>
    <p>After 24 hours of treatment, polyphenols inhibited HepG2 cell proliferation by 60% - 90%, and polysaccharides by 60% - 80% at all concentrations assessed. These effects surpassed those of cisplatin, which exhibited a 42% inhibition at the highest dose. After 48 hours, the inhibitory effects increased to 95%, 86%, and 70% for polyphenols and polysaccharides, respectively (<xref ref-type="fig" rid="fig10">
      Figure 10
     </xref>). Two-way ANOVA showed significant effects of extract/drug type and time (77.75% variance, P &lt; 0.0001) and concentration (17.75%, P &lt; 0.0001) (<xref ref-type="table" rid="tableS6">
      Table S6
     </xref>). The interaction effect was significant but minor (2.26%; ***, P &lt; 0.003), indicating consistent concentration effects across treatments and time periods.</p>
    <fig id="fig10" position="float">
     <label>Figure 10</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 10. Anti-cell proliferation activity of Ganoderma spp. polyphenol and polysaccharide extracts on HepG2 cells at 24 and 48 h.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId26.jpeg?20251128095558" />
    </fig>
    <p>Polyphenol extracts from both G. mbrekobenum and G. enigmaticum inhibited HCT116 cell proliferation in a concentration-dependent manner, reaching &gt;90% after 48 h (<xref ref-type="fig" rid="fig11">
      Figure 11
     </xref>). Two-way ANOVA revealed that extract/anticancer drug type and time (74.12%, P &lt; 0.0001), as well as their concentrations (20.03%, P &lt; 0.0001), significantly affected HCT116 cell proliferation. No significant interaction between concentration and treatment/time was observed (1.46%, P = 0.146), indicating consistent concentration effects (see <xref ref-type="table" rid="tableS7">
      Table S7
     </xref>).</p>
    <p>After 24-hour treatments, both polyphenol extracts strongly and dose-dependently inhibited cell proliferation: G. enigmaticum reduced MDA-MB231 cell growth by 86%, and G. mbrekobenum by 81.33% at 100 µg/mL (<xref ref-type="fig" rid="fig12">
      Figure 12
     </xref>). The most potent effect was seen with the polysaccharide extract of G. mbrekobenum, which inhibited 93% of cells after 48 hours; the G. enigmaticum polysaccharide also significantly decreased proliferation by 84%.</p>
    <fig id="fig11" position="float">
     <label>Figure 11</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 11. Anti-cell proliferation activity of Ganoderma polyphenol and polysaccharide extracts on HCT116 cells at 24 and 48 h.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId27.jpeg?20251128095557" />
    </fig>
    <fig id="fig12" position="float">
     <label>Figure 12</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 12. Anti-cell proliferation activity of Ganoderma polyphenol and polysaccharide extracts on MDA-MB231 cells at 24 and 48 h.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId28.jpeg?20251128095557" />
    </fig>
    <p>Two-way ANOVA revealed that extract type, anticancer drug, time (78.28% variation, P &lt; 0.0001), and their concentrations (20.61% variation, P &lt; 0.0001) significantly affected MDA-MB231 cell proliferation. No significant interaction was found between concentration and extract/drug type/time (1.46% variation, P = 0.146), indicating stable concentration effects. See <xref ref-type="table" rid="tableS8">
      Table S8
     </xref> for details.</p>
    <p>Cisplatin inhibited the proliferation of HepG2, HCT116, and MDA-MB-231 cells in a dose-dependent manner, with the strongest effects observed at 10 µg/mL, where inhibition exceeded 60% in HepG2 and ~50% in the other cell lines (<xref ref-type="fig" rid="fig13">
      Figure 13
     </xref>).</p>
    <p>The IC<sub>50</sub> values were consistent with these findings; polyphenol and polysaccharide extracts from G. mbrekobenum showed lower values across all cell lines and time points at the 95% confidence interval (CI) (<xref ref-type="table" rid="table2(a)">
      Table 2(a)
     </xref> and <xref ref-type="table" rid="table2(b)">
      Table 2(b)
     </xref>).</p>
    <fig id="fig13" position="float">
     <label>Figure 13</label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Figure 13. Anti-cell proliferation activity of the control drug on HepG2, HCT116, and MDA-MB231 cells at 24- and 48-h time periods.</title>
     </caption>
     <graphic mimetype="image" position="float" xlink:type="simple" xlink:href="https://html.scirp.org/file/2272219-rId29.jpeg?20251128095557" />
    </fig>
    <p>The polyphenol extract of G. mbrekobenum had the lowest IC<sub>50</sub> value against HepG2 cells (9.33 µg/mL), while its polysaccharide fraction recorded a value of 9.47 µg/mL against MDA-MB231 cells at the 24-hour time point (<xref ref-type="table" rid="table2(a)">
      Table 2(a)
     </xref>). At 48 hours, the lowest IC<sub>50</sub> values were observed for the polysaccharide extract of G. enigmaticum with MDA-MB231 cells (7.75 µg/mL), and the polyphenol extract of G. mbrekobenum (7.70 µg/mL) (95% CI) (<xref ref-type="table" rid="table2(b)">
      Table 2(b)
     </xref>).</p>
    <table-wrap id="table2">
     <label>
      <xref ref-type="table" rid="table2">
       Table 2
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.147635-"></xref>Table 2. (a) Half maximal inhibitory concentration (IC<sub>50</sub>) values (μg/mL) of test mushroom extracts against model cancer cell lines after a 24-hour incubation period. (b) Half maximal inhibitory concentration (IC<sub>50</sub>) values (µg/mL) of test mushroom extracts against model cancer cell lines after a 48-hour incubation period.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="100.00%" colspan="7"><p style="text-align:center">(a)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.80%"><p style="text-align:center">24 h Incubation Period</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="43.30%" colspan="3"><p style="text-align:center">G. enigmaticum</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="42.90%" colspan="3"><p style="text-align:center">G. mbrekobenum</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.80%"><p style="text-align:center">Extracts</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.71%"><p style="text-align:center">HepG2</p><p style="text-align:center">24 H</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.30%"><p style="text-align:center">HCT116</p><p style="text-align:center">24 H</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.29%"><p style="text-align:center">MDA-MB231</p><p style="text-align:center">24 H</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.30%"><p style="text-align:center">HepG2</p><p style="text-align:center">24 H</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.30%"><p style="text-align:center">HCT116</p><p style="text-align:center">24 H</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.30%"><p style="text-align:center">MDA-MB231</p><p style="text-align:center">24 H</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="13.80%"><p style="text-align:center">Polyphenol</p></td> 
       <td class="custom-top-td acenter" width="14.71%"><p style="text-align:center">12.67</p><p style="text-align:center">(4.75 - 19.22)</p></td> 
       <td class="custom-top-td acenter" width="14.30%"><p style="text-align:center">15.47</p><p style="text-align:center">(8.05 - 21.49)</p></td> 
       <td class="custom-top-td acenter" width="14.29%"><p style="text-align:center">12.01</p><p style="text-align:center">(2.41 - 20.34)</p></td> 
       <td class="custom-top-td acenter" width="14.30%"><p style="text-align:center">9.33</p><p style="text-align:center">(2.16 - 15.86)</p></td> 
       <td class="custom-top-td acenter" width="14.30%"><p style="text-align:center">14.32</p><p style="text-align:center">(6.64 - 20.49)</p></td> 
       <td class="custom-top-td acenter" width="14.30%"><p style="text-align:center">12.37</p><p style="text-align:center">(6.48 - 17.45)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="13.80%"><p style="text-align:center">Polysaccharide</p></td> 
       <td class="acenter" width="14.71%"><p style="text-align:center">12.93</p><p style="text-align:center">(1.32 - 22.76)</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">17.01</p><p style="text-align:center">(4.41 - 26.43)</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">13.03</p><p style="text-align:center">(4.46 - 20.01</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">11.20</p><p style="text-align:center">(5.04 - 16.53)</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">18.78</p><p style="text-align:center">(9.45 - 26.07)</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">9.47</p><p style="text-align:center">(2.98 - 15.23)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="13.80%"><p style="text-align:center">Cisplatin</p></td> 
       <td class="custom-bottom-td acenter" width="14.71%"><p style="text-align:center">12.57</p><p style="text-align:center">(10.34 - 17.64)</p></td> 
       <td class="custom-bottom-td acenter" width="14.30%"><p style="text-align:center">14.07</p><p style="text-align:center">(10.83 - 24.14)</p></td> 
       <td class="custom-bottom-td acenter" width="14.29%"><p style="text-align:center">10.09</p><p style="text-align:center">(9.221 - 11.60)</p></td> 
       <td class="custom-bottom-td acenter" width="14.30%"><p style="text-align:center">12.57</p><p style="text-align:center">(10.34 - 17.64</p></td> 
       <td class="custom-bottom-td acenter" width="14.30%"><p style="text-align:center">14.07</p><p style="text-align:center">(10.83 - 24.14)</p></td> 
       <td class="custom-bottom-td acenter" width="14.30%"><p style="text-align:center">10.09</p><p style="text-align:center">(9.221 - 11.60)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="100.00%" colspan="7"><p style="text-align:center">(b)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.80%"><p style="text-align:center">48 h Incubation Period</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="43.30%" colspan="3"><p style="text-align:center">G. enigmaticum</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="42.90%" colspan="3"><p style="text-align:center">G. mbrekobenum</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.80%"><p style="text-align:center">Extracts</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.71%"><p style="text-align:center">HepG2</p><p style="text-align:center">48 H</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.30%"><p style="text-align:center">HCT116</p><p style="text-align:center">48 H</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.29%"><p style="text-align:center">MDA-MB231</p><p style="text-align:center">48 H</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.30%"><p style="text-align:center">HepG2</p><p style="text-align:center">48 H</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.30%"><p style="text-align:center">HCT116</p><p style="text-align:center">48 H</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="14.30%"><p style="text-align:center">MDA-MB231</p><p style="text-align:center">48 H</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="13.80%"><p style="text-align:center">Polyphenol</p></td> 
       <td class="custom-top-td acenter" width="14.71%"><p style="text-align:center">9.05</p><p style="text-align:center">(3.52 - 14.06)</p></td> 
       <td class="custom-top-td acenter" width="14.30%"><p style="text-align:center">8.45</p><p style="text-align:center">(0.93 - 15.95)</p></td> 
       <td class="custom-top-td acenter" width="14.29%"><p style="text-align:center">10.36</p><p style="text-align:center">(2.53 - 17.48)</p></td> 
       <td class="custom-top-td acenter" width="14.30%"><p style="text-align:center">7.70</p><p style="text-align:center">(1.12 - 14.09)</p></td> 
       <td class="custom-top-td acenter" width="14.30%"><p style="text-align:center">9.38</p><p style="text-align:center">(3.75 - 14.37)</p></td> 
       <td class="custom-top-td acenter" width="14.30%"><p style="text-align:center">9.87</p><p style="text-align:center">(1.48 - 17.29)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="13.80%"><p style="text-align:center">Polysaccharide</p></td> 
       <td class="acenter" width="14.71%"><p style="text-align:center">11.51</p><p style="text-align:center">(2.73 - 19.10)</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">7.91</p><p style="text-align:center">(1.36 - 14.43)</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">7.75</p><p style="text-align:center">(2.01 - 13.47)</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">10.44</p><p style="text-align:center">(5.24 - 14.96)</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">13.47</p><p style="text-align:center">(5.08 - 20.42)</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">13.47</p><p style="text-align:center">(5.08 - 20.42)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="13.80%"><p style="text-align:center">Cisplatin</p></td> 
       <td class="acenter" width="14.71%"><p style="text-align:center">5.78</p><p style="text-align:center">(5.126 - 6.505)</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">7.93</p><p style="text-align:center">(7.307 - 8.731)</p></td> 
       <td class="acenter" width="14.29%"><p style="text-align:center">6.47</p><p style="text-align:center">(5.740 - 7.372)</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">5.78</p><p style="text-align:center">(5.126 - 6.505)</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">7.93</p><p style="text-align:center">(7.307 - 8.731</p></td> 
       <td class="acenter" width="14.30%"><p style="text-align:center">6.47</p><p style="text-align:center">(5.740 - 7.372)</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Values are IC<sub>50</sub> estimates from nonlinear regression analysis, expressed with 95% confidence intervals (CI), computed in GraphPad Prism (version 10.5.0).</p>
    <p>These results suggest promising anticancer potential for both extract types, especially from G. mbrekobenum. Collectively, these findings indicate that both mushroom species possess significant, time-dependent antiproliferative activities, with G. mbrekobenum demonstrating potential comparable to that of cisplatin.</p>
   </sec>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>This study provides an early comprehensive evaluation of the antioxidant, antibacterial, and anticancer activities of two newly described West African Ganoderma species, G. enigmaticum and G. mbrekobenum <xref ref-type="bibr" rid="scirp.147635-9">
     [9]
    </xref>. Molecular identification using ITS sequencing confirmed species authenticity, while metabolite profiling and functional bioassays revealed significant therapeutic potential across multiple biological endpoints.</p>
   <p>Distinct species- and extract-dependent differences were observed in antioxidant capacity. Species identity was verified through ITS-based molecular and phylogenetic analyses, while metabolite profiling and biological assays demonstrated their substantial therapeutic potential as bioactive polypore mushrooms. Consistent with earlier findings with other Ganoderma taxa, variations in bioactivity were influenced by species differences, extract type, and the solvent used for extraction. The extracts of G. enigmaticum contained higher concentrations of phenolics and carbohydrates compared to G. mbrekobenum, suggesting species-specific metabolic pathways <xref ref-type="bibr" rid="scirp.147635-17">
     [17]
    </xref>. These differences were reflected in the observed antioxidant, antibacterial, and antiproliferative activities.</p>
   <p>Notably, G. mbrekobenum exhibited stronger activity than G. enigmaticum, particularly with the oligosaccharide and polyphenol fractions, which may be attributed to either more efficient extraction of low molecular weight antioxidants or the presence of highly reactive compounds (<xref ref-type="fig" rid="fig2">
     Figure 2
    </xref> and <xref ref-type="table" rid="table1">
     Table 1
    </xref>) <xref ref-type="bibr" rid="scirp.147635-18">
     [18]
    </xref>. Ethanol extraction was especially effective for isolating such compounds, including oligosaccharides, consistent with reports for phenolics, triterpenoids, and glycerides in related Ganoderma species such as G. lucidum <xref ref-type="bibr" rid="scirp.147635-17">
     [17]
    </xref> <xref ref-type="bibr" rid="scirp.147635-19">
     [19]
    </xref>. Unexpectedly, polysaccharides from G. enigmaticum demonstrated weaker antioxidant activity than anticipated, suggesting that factors such as species origin, structural features, extraction methods, or synergistic interactions could potentially modulate the bioactivity of natural-based parent compounds <xref ref-type="bibr" rid="scirp.147635-20">
     [20]
    </xref>. Conversely, results for G. mbrekobenum were consistent with previous reports of its strong free radical scavenging capacity and inhibitory effects against HepG2 and triple-negative breast cancer cells (MDA-MB231 cells) <xref ref-type="bibr" rid="scirp.147635-21">
     [21]
    </xref>. These findings reinforce the promise of both species—particularly G. mbrekobenum—as potential sources of natural antioxidants for pharmaceutical and nutraceutical development <xref ref-type="bibr" rid="scirp.147635-22">
     [22]
    </xref>.</p>
   <p>Antibacterial assays showed that oligosaccharide, polyphenol, and polysaccharide extracts from both Ganoderma species inhibited the growth of Shiga toxin-producing Escherichia coli and methicillin-resistant Staphylococcus aureus (<xref ref-type="fig" rid="fig3">
     Figure 3
    </xref> and <xref ref-type="fig" rid="fig4">
     Figure 4
    </xref>). Oligosaccharide extracts were particularly effective, surpassing standard antibiotics in vitro. This enhanced activity may be due to synergistic interactions between low molecular carbohydrates and phenolics, which are known to exhibit improved cellular uptake and bioavailability compared with higher molecular weight compounds <xref ref-type="bibr" rid="scirp.147635-8">
     [8]
    </xref> <xref ref-type="bibr" rid="scirp.147635-15">
     [15]
    </xref>. These findings align with earlier studies showing that low molecular weight compounds are more readily absorbed by cells and have higher bioavailability than high molecular weight compounds <xref ref-type="bibr" rid="scirp.147635-7">
     [7]
    </xref>.</p>
   <p>Polyphenol extracts consistently showed greater antibacterial activity than polysaccharide extracts, likely reflecting their membrane-disrupting and oxidative stress-reducing mechanisms by scavenging free radicals like DPPH directly, as shown in this study <xref ref-type="bibr" rid="scirp.147635-23">
     [23]
    </xref>.</p>
   <p>Although Ceftazidime and ciprofloxacin inhibited the test bacterial growth in the current study, their clinical application against E. coli O157:H7 remains controversial due to concerns regarding Shiga toxin induction and adverse impacts on the gut microbiota <xref ref-type="bibr" rid="scirp.147635-24">
     [24]
    </xref>. In comparison, extracts or bioactive compounds derived from Ganoderma species may offer safer alternatives with reduced adverse effects. Furthermore, mushroom polysaccharides have exhibited direct antimicrobial activity against S. aureus, in addition to their established immunomodulatory properties <xref ref-type="bibr" rid="scirp.147635-25">
     [25]
    </xref>. The antibacterial efficacy of these compounds may be attributed to particular structural characteristics, including branching, molecular weight, and glycosidic linkages. The more pronounced inhibition observed in Gram-positive bacteria likely results from the increased permeability of their peptidoglycan-rich cell walls <xref ref-type="bibr" rid="scirp.147635-26">
     [26]
    </xref> <xref ref-type="bibr" rid="scirp.147635-27">
     [27]
    </xref>.</p>
   <p>The anticancer assays revealed that polyphenol and polysaccharide extracts from both G. mbrekobenum and G. enigmaticum significantly inhibited the proliferation of HCT116, HepG2, and MDA-MB-231 cancer cell lines (<xref ref-type="fig" rid="figFigures 6-8">
     Figures 6-8
    </xref>) in a dose- and time-dependent manner. Wild-collected G. mbrekobenum showed remarkable cytotoxicity against HepG2 cells, achieving over 90% inhibition even at the lowest concentrations tested, exceeding results reported for cultivated strains <xref ref-type="bibr" rid="scirp.147635-28">
     [28]
    </xref> <xref ref-type="bibr" rid="scirp.147635-29">
     [29]
    </xref>. Evidence from studies on other Ganoderma species indicates that this effect may be mediated by the modulation of oxidative stress, mitochondrial apoptosis pathways, and caspase activation—mechanisms previously associated with triterpenoids and polyphenols derived from Ganoderma <xref ref-type="bibr" rid="scirp.147635-30">
     [30]
    </xref> <xref ref-type="bibr" rid="scirp.147635-31">
     [31]
    </xref>. The findings from this study demonstrate that extracts rich in polyphenols and polysaccharides from G. enigmaticum and G. mbrekobenum possess significant antioxidant properties, indicating their potential to mitigate oxidative stress. Polyphenols from Ganoderma species can directly neutralize reactive oxygen species (ROS) and affect signaling pathways like NF-κB, MAPK, and PI3K/AKT, reducing oxidative stress-related survival signaling in cancer cells <xref ref-type="bibr" rid="scirp.147635-32">
     [32]
    </xref>.</p>
   <p>The species-specific activity patterns were notable: G. mbrekobenum polyphenols showed stronger potency against colorectal (HCT116) cancer cells, whereas G. enigmaticum polysaccharides demonstrated comparatively greater effects (<xref ref-type="fig" rid="fig11">
     Figure 11
    </xref>). Given that colorectal cancers frequently involve aberrant P13K/AKT and Wnt/β-catenin signalling, extracts containing β-glucans and polyphenols may suppress tumour progression by interfering with these pathways <xref ref-type="bibr" rid="scirp.147635-8">
     [8]
    </xref> <xref ref-type="bibr" rid="scirp.147635-33">
     [33]
    </xref> <xref ref-type="bibr" rid="scirp.147635-34">
     [34]
    </xref>. Both species also strongly inhibited the triple-negative breast cancer (MDA-MB231) cells, an aggressive and therapy-resistant subtype. This is consistent with previous findings that Ganoderma extracts affect NF-κB, MAPK, and STAT3 signalling pathways, which are involved in sustaining TNBC and its stem cell proliferation and resistance <xref ref-type="bibr" rid="scirp.147635-35">
     [35]
    </xref>-<xref ref-type="bibr" rid="scirp.147635-37">
     [37]
    </xref>. These findings highlight the potential of Ganoderma metabolites as novel candidates for integrative oncology, either as single agents or in combination with standard therapies.</p>
   <p>This study provides the first evidence that the newly identified West African Ganoderma species, G. enigmaticum and G. mbrekobenum, possess potent antioxidant, antibacterial, and anticancer properties driven by distinct metabolite fractions. Polyphenols consistently demonstrated the strongest activities, yet polysaccharides and oligosaccharides also showed direct bioactivity, highlighting complementary or synergistic effects among fractions. The strong inhibition of multidrug-resistant pathogens and aggressive cancer cell lines, particularly HepG2 and triple-negative breast cancer, underscores the therapeutic promise of these underexplored polypores. Potential mechanisms of action point to antioxidant defence, membrane disruption, and modulation of oncogenic signalling pathways (PI3K/AKT, NF-κB, MAPK, STAT3) as plausible modes of action <xref ref-type="bibr" rid="scirp.147635-38">
     [38]
    </xref>. Polyphenols have been studied for their potential anticancer effects, and recent research, including the current study, also suggests that polysaccharides may play a role in inhibiting tumours <xref ref-type="bibr" rid="scirp.147635-39">
     [39]
    </xref> <xref ref-type="bibr" rid="scirp.147635-40">
     [40]
    </xref>.</p>
   <p>Collectively, these findings position G. enigmaticum and G. mbrekobenum as valuable sources of novel bioactive compounds with translational potential in functional food, nutraceutical, and drug development pipelines. Future studies should focus on bioassay-guided fractionation, structural characterization, and in vivo validation to establish their efficacy and safety. By expanding the diversity of bioactive fungi beyond well-studied Asian species such as G. lucidum, this work highlights the untapped biomedical potential of West African macro-fungi.</p>
  </sec><sec id="s5">
   <title>Acknowledgements</title>
   <p>The authors thank the staff of the University of Lagos Herbarium for their help during the identification and curation of the herbarium voucher specimens of the test mushrooms.</p>
  </sec><sec id="s6">
   <title>Author Contributions</title>
   <p>Conceptualization/Experimental design and investigation: EM Adongbede, LL Williams, MT Sholola; Original Draft Preparation/Formal Analysis: EM Adongbede, MT Sholola, J Khatiwada; Collection of specimens/Methodology: MT Sholola, EM Adongbede; Data Analysis and Supervision: EM Adongbede, LL Williams; Reviewing and Editing: LL Williams and J Khatiwada. All authors have read and agreed to the publication of the manuscript.</p>
  </sec><sec id="s7">
   <title>Funding</title>
   <p>This research did not receive any specific grant from funding agencies in the public, commercial, or non-profit sectors. The study was supported by the facilities and resources at North Carolina Agricultural &amp; Technical State University, Greensboro, NC, USA, and the University of Lagos, Lagos, Nigeria.</p>
  </sec><sec id="s8">
   <title>Data Availability Statement</title>
   <p>The raw data for this article have been deposited and are publicly accessible in the Mendeley repository: Mendeley Data <xref ref-type="bibr" rid="scirp.147635-https://data.mendeley.com/datasets/ctbrfc3wx4/2">
     https://data.mendeley.com/datasets/ctbrfc3wx4/2
    </xref>.</p>
  </sec><sec id="s9">
   <title>Supplement</title>
   <p>The supplementary tables present comprehensive results from the Two-Way ANOVA, illustrating the impact of concentration, extract type/standard drug/species type/time, and their interactions on the assessed biological activities. Each table details the percentage of total variation attributed to each factor, along with the respective levels of statistical significance.</p>
   <table-wrap id="table3">
    <label>
     <xref ref-type="table" rid="table3">
      Table 3
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147635-"></xref>Table S1. Two-way ANOVA summary of percentage yield of polyphenol, polysaccharide and oligosaccharides derived from G. enigmaticum and G. mbrekobenum.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="33.84%"><p style="text-align:center">Table Analysed</p></td> 
      <td class="custom-bottom-td acenter" width="66.16%" colspan="5"><p style="text-align:center">Yield of Ganoderma enigmaticum and G. mbrekobenum</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="33.84%"><p style="text-align:center">Two-way ANOVA</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="66.16%" colspan="5"><p style="text-align:center">Ordinary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="33.84%"><p style="text-align:center">Alpha</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="66.16%" colspan="5"><p style="text-align:center">0.05</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="33.84%"><p style="text-align:center">Source of Variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="13.72%"><p style="text-align:center">% of total variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="9.52%"><p style="text-align:center">P value</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="11.19%"><p style="text-align:center">P value summary</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="31.74%" colspan="2"><p style="text-align:center">Significant?</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="33.84%"><p style="text-align:center">Interaction (Species type × Extract type)</p></td> 
      <td class="custom-top-td acenter" width="13.72%"><p style="text-align:center">6.950</p></td> 
      <td class="custom-top-td acenter" width="9.52%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="custom-top-td acenter" width="11.19%"><p style="text-align:center">****</p></td> 
      <td class="custom-top-td acenter" width="31.74%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.84%"><p style="text-align:center">Row Factor (Extract type)</p></td> 
      <td class="acenter" width="13.72%"><p style="text-align:center">7.014</p></td> 
      <td class="acenter" width="9.52%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="acenter" width="11.19%"><p style="text-align:center">****</p></td> 
      <td class="acenter" width="31.74%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.84%"><p style="text-align:center">Column Factor (Species Type)</p></td> 
      <td class="acenter" width="13.72%"><p style="text-align:center">84.93</p></td> 
      <td class="acenter" width="9.52%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="acenter" width="11.19%"><p style="text-align:center">****</p></td> 
      <td class="acenter" width="31.74%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.84%"><p style="text-align:center">ANOVA table</p></td> 
      <td class="acenter" width="13.72%"><p style="text-align:center">SS</p></td> 
      <td class="acenter" width="9.52%"><p style="text-align:center">DF</p></td> 
      <td class="acenter" width="11.19%"><p style="text-align:center">MS</p></td> 
      <td class="acenter" width="19.04%"><p style="text-align:center">F (DFn, DFd)</p></td> 
      <td class="acenter" width="12.70%"><p style="text-align:center">P value</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.84%"><p style="text-align:center">Interaction</p></td> 
      <td class="acenter" width="13.72%"><p style="text-align:center">98.31</p></td> 
      <td class="acenter" width="9.52%"><p style="text-align:center">2</p></td> 
      <td class="acenter" width="11.19%"><p style="text-align:center">49.15</p></td> 
      <td class="acenter" width="19.04%"><p style="text-align:center">F (2, 12) = 37.69</p></td> 
      <td class="acenter" width="12.70%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.84%"><p style="text-align:center">Row Factor</p></td> 
      <td class="acenter" width="13.72%"><p style="text-align:center">99.22</p></td> 
      <td class="acenter" width="9.52%"><p style="text-align:center">1</p></td> 
      <td class="acenter" width="11.19%"><p style="text-align:center">99.22</p></td> 
      <td class="acenter" width="19.04%"><p style="text-align:center">F (1, 12) = 76.07</p></td> 
      <td class="acenter" width="12.70%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.84%"><p style="text-align:center">Column Factor</p></td> 
      <td class="acenter" width="13.72%"><p style="text-align:center">1201</p></td> 
      <td class="acenter" width="9.52%"><p style="text-align:center">2</p></td> 
      <td class="acenter" width="11.19%"><p style="text-align:center">600.7</p></td> 
      <td class="acenter" width="19.04%"><p style="text-align:center">F (2, 12) = 460.5</p></td> 
      <td class="acenter" width="12.70%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="33.84%"><p style="text-align:center">Residual</p></td> 
      <td class="custom-bottom-td acenter" width="13.72%"><p style="text-align:center">15.65</p></td> 
      <td class="custom-bottom-td acenter" width="9.52%"><p style="text-align:center">12</p></td> 
      <td class="custom-bottom-td acenter" width="11.19%"><p style="text-align:center">1.304</p></td> 
      <td class="custom-bottom-td acenter" width="19.04%"><p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="12.70%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Difference between row means</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Mean of G. enigmaticum: 18.03</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Mean of G. mbrekobenum: 13.34</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Difference between means: 4.696</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">SE of difference: 0.5384</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="100.00%" colspan="6"><p style="text-align:center">95% CI of difference: 3.523 to 5.869</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Data summary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of columns (Column Factor): 3</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of rows (Row Factor): 2</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of values: 18</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>****Highly significant interaction between extract type and yield; *****Significant differences between Extract types across two test species; ****Highly significant differences between species: major contributor to variation.</p>
   <table-wrap id="table4">
    <label>
     <xref ref-type="table" rid="table4">
      Table 4
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147635-"></xref>Table S2. Two-way ANOVA summary of total phenolic and carbohydrate content of polyphenol, polysaccharide and oligosaccharides derived from G. enigmaticum and G. mbrekobenum</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="26.48%"><p style="text-align:center">Table Analysed</p></td> 
      <td class="custom-bottom-td acenter" width="73.52%" colspan="5"><p style="text-align:center">Normalize of TPC</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="26.48%"><p style="text-align:center">Two-way ANOVA</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="73.52%" colspan="5"><p style="text-align:center">Ordinary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="26.48%"><p style="text-align:center">Alpha</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="73.52%" colspan="5"><p style="text-align:center">0.05</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="26.48%"><p style="text-align:center">Source of Variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.74%"><p style="text-align:center">% of total variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.74%"><p style="text-align:center">P value</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.75%"><p style="text-align:center">P value summary</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="35.28%" colspan="2"><p style="text-align:center">Significant?</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="26.48%"><p style="text-align:center">Interaction</p></td> 
      <td class="custom-top-td acenter" width="12.74%"><p style="text-align:center">2.619e−028</p></td> 
      <td class="custom-top-td acenter" width="12.74%"><p style="text-align:center">&gt;0.9999</p></td> 
      <td class="custom-top-td acenter" width="12.75%"><p style="text-align:center">ns</p></td> 
      <td class="custom-top-td acenter" width="35.28%" colspan="2"><p style="text-align:center">No</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="26.48%"><p style="text-align:center">Row Factor (Species Type)</p></td> 
      <td class="acenter" width="12.74%"><p style="text-align:center">99.89</p></td> 
      <td class="acenter" width="12.74%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="acenter" width="12.75%"><p style="text-align:center">****</p></td> 
      <td class="acenter" width="35.28%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="26.48%"><p style="text-align:center">Column Factor (Extract Type)</p></td> 
      <td class="custom-bottom-td acenter" width="12.74%"><p style="text-align:center">5.985e−029</p></td> 
      <td class="custom-bottom-td acenter" width="12.74%"><p style="text-align:center">&gt;0.9999</p></td> 
      <td class="custom-bottom-td acenter" width="12.75%"><p style="text-align:center">ns</p></td> 
      <td class="custom-bottom-td acenter" width="35.28%" colspan="2"><p style="text-align:center">No</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="26.48%"><p style="text-align:center">ANOVA table</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.74%"><p style="text-align:center">SS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.74%"><p style="text-align:center">DF</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.75%"><p style="text-align:center">MS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="22.78%"><p style="text-align:center">F (DFn, DFd)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.50%"><p style="text-align:center">P value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="26.48%"><p style="text-align:center">Interaction</p></td> 
      <td class="custom-top-td acenter" width="12.74%"><p style="text-align:center">1.180e−025</p></td> 
      <td class="custom-top-td acenter" width="12.74%"><p style="text-align:center">2</p></td> 
      <td class="custom-top-td acenter" width="12.75%"><p style="text-align:center">5.900e−026</p></td> 
      <td class="custom-top-td acenter" width="22.78%"><p style="text-align:center">F (2, 12) = 1.495e−026</p></td> 
      <td class="custom-top-td acenter" width="12.50%"><p style="text-align:center">P &gt; 0.9999</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="26.48%"><p style="text-align:center">Row Factor</p></td> 
      <td class="acenter" width="12.74%"><p style="text-align:center">45000</p></td> 
      <td class="acenter" width="12.74%"><p style="text-align:center">1</p></td> 
      <td class="acenter" width="12.75%"><p style="text-align:center">45000</p></td> 
      <td class="acenter" width="22.78%"><p style="text-align:center">F (1, 12) = 11400</p></td> 
      <td class="acenter" width="12.50%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="26.48%"><p style="text-align:center">Column Factor</p></td> 
      <td class="acenter" width="12.74%"><p style="text-align:center">2.696e−026</p></td> 
      <td class="acenter" width="12.74%"><p style="text-align:center">2</p></td> 
      <td class="acenter" width="12.75%"><p style="text-align:center">1.348e−026</p></td> 
      <td class="acenter" width="22.78%"><p style="text-align:center">F (2, 12) = 3.415e−027</p></td> 
      <td class="acenter" width="12.50%"><p style="text-align:center">P &gt; 0.9999</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="26.48%"><p style="text-align:center">Residual</p></td> 
      <td class="custom-bottom-td acenter" width="12.74%"><p style="text-align:center">47.37</p></td> 
      <td class="custom-bottom-td acenter" width="12.74%"><p style="text-align:center">12</p></td> 
      <td class="custom-bottom-td acenter" width="12.75%"><p style="text-align:center">3.947</p></td> 
      <td class="custom-bottom-td acenter" width="22.78%"><p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="12.50%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Difference between row means</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Mean of G. enigmaticum: 100.0</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Mean of G. mbrekobenum: 2.842e−014</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Difference between means: 100.0</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">SE of difference: 0.9366</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="100.00%" colspan="6"><p style="text-align:center">95% CI of difference: 97.96 to 102.0</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Data summary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of columns (Column Factor): 3</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of rows (Row Factor): 2</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of values: 18</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <table-wrap id="table5">
    <label>
     <xref ref-type="table" rid="table5">
      Table 5
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147635-"></xref>Table S3. Two-way ANOVA summary showing effect of different concentrations of different extracts on antioxidant activity of Ganoderma species extracts.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="31.78%"><p style="text-align:center">Table Analysed</p></td> 
      <td class="custom-bottom-td acenter" width="68.22%" colspan="5"><p style="text-align:center">DPPH Data</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="31.78%"><p style="text-align:center">Two-way ANOVA</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="68.22%" colspan="5"><p style="text-align:center">Ordinary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="31.78%"><p style="text-align:center">Alpha</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="68.22%" colspan="5"><p style="text-align:center">0.05</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="31.78%"><p style="text-align:center">Source of Variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="19.71%"><p style="text-align:center">% of total variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="9.09%"><p style="text-align:center">P value</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.62%"><p style="text-align:center">P value summary</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="28.81%" colspan="2"><p style="text-align:center">Significant?</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="31.78%"><p style="text-align:center">Interaction</p><p style="text-align:center">(Concentration × Extract type)</p></td> 
      <td class="custom-top-td acenter" width="19.71%"><p style="text-align:center">2.874</p></td> 
      <td class="custom-top-td acenter" width="9.09%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="custom-top-td acenter" width="10.62%"><p style="text-align:center">****</p></td> 
      <td class="custom-top-td acenter" width="28.81%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="31.78%"><p style="text-align:center">Row Factor (Concentration)</p></td> 
      <td class="acenter" width="19.71%"><p style="text-align:center">81.57</p></td> 
      <td class="acenter" width="9.09%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="acenter" width="10.62%"><p style="text-align:center">****</p></td> 
      <td class="acenter" width="28.81%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="31.78%"><p style="text-align:center">Column Factor (Extract Type)</p></td> 
      <td class="custom-bottom-td acenter" width="19.71%"><p style="text-align:center">14.54</p></td> 
      <td class="custom-bottom-td acenter" width="9.09%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="custom-bottom-td acenter" width="10.62%"><p style="text-align:center">****</p></td> 
      <td class="custom-bottom-td acenter" width="28.81%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="31.78%"><p style="text-align:center">ANOVA table</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="19.71%"><p style="text-align:center">SS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="9.09%"><p style="text-align:center">DF</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.62%"><p style="text-align:center">MS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="16.71%"><p style="text-align:center">F (DFn, DFd)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.10%"><p style="text-align:center">P value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="31.78%"><p style="text-align:center">Interaction</p></td> 
      <td class="custom-top-td acenter" width="19.71%"><p style="text-align:center">1149</p></td> 
      <td class="custom-top-td acenter" width="9.09%"><p style="text-align:center">15</p></td> 
      <td class="custom-top-td acenter" width="10.62%"><p style="text-align:center">76.60</p></td> 
      <td class="custom-top-td acenter" width="16.71%"><p style="text-align:center">F (15, 48) = 9.037</p></td> 
      <td class="custom-top-td acenter" width="12.10%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="31.78%"><p style="text-align:center">Row Factor</p></td> 
      <td class="acenter" width="19.71%"><p style="text-align:center">32616</p></td> 
      <td class="acenter" width="9.09%"><p style="text-align:center">3</p></td> 
      <td class="acenter" width="10.62%"><p style="text-align:center">10872</p></td> 
      <td class="acenter" width="16.71%"><p style="text-align:center">F (3, 48) = 1283</p></td> 
      <td class="acenter" width="12.10%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="31.78%"><p style="text-align:center">Column Factor</p></td> 
      <td class="acenter" width="19.71%"><p style="text-align:center">5812</p></td> 
      <td class="acenter" width="9.09%"><p style="text-align:center">5</p></td> 
      <td class="acenter" width="10.62%"><p style="text-align:center">1162</p></td> 
      <td class="acenter" width="16.71%"><p style="text-align:center">F (5, 48) = 137.1</p></td> 
      <td class="acenter" width="12.10%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="31.78%"><p style="text-align:center">Residual</p></td> 
      <td class="custom-bottom-td acenter" width="19.71%"><p style="text-align:center">406.9</p></td> 
      <td class="custom-bottom-td acenter" width="9.09%"><p style="text-align:center">48</p></td> 
      <td class="custom-bottom-td acenter" width="10.62%"><p style="text-align:center">8.477</p></td> 
      <td class="custom-bottom-td acenter" width="28.81%" colspan="2"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Data summary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="31.78%"><p style="text-align:center">Number of columns (Column Factor)</p></td> 
      <td class="custom-top-td acenter" width="68.22%" colspan="5"><p style="text-align:center">6</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="31.78%"><p style="text-align:center">Number of rows (Row Factor)</p></td> 
      <td class="acenter" width="68.22%" colspan="5"><p style="text-align:center">4</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="31.78%"><p style="text-align:center">Number of values</p></td> 
      <td class="acenter" width="68.22%" colspan="5"><p style="text-align:center">72</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>*Significant: the effect of concentration varies slightly among extract types; Highly significant effect of concentration (dose dependent); Highly significant differences between extract types; n = 3.</p>
   <table-wrap id="table6">
    <label>
     <xref ref-type="table" rid="table6">
      Table 6
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147635-"></xref>Table S4. Two-way ANOVA summary showing effect of different concentrations of ganoderma extracts and control drugs on percentage inhibition of E. coli.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="25.72%"><p style="text-align:center">Table Analysed</p></td> 
      <td class="custom-bottom-td acenter" width="74.28%" colspan="5"><p style="text-align:center">E. coli Data</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="25.72%"><p style="text-align:center">Two-way ANOVA</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="74.28%" colspan="5"><p style="text-align:center">Ordinary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="25.72%"><p style="text-align:center">Alpha</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="74.28%" colspan="5"><p style="text-align:center">0.05</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="25.72%"><p style="text-align:center">Source of Variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="19.72%"><p style="text-align:center">% of total variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.60%"><p style="text-align:center">P value</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="16.68%"><p style="text-align:center">P value summary</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="27.28%" colspan="2"><p style="text-align:center">Significant?</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="25.72%"><p style="text-align:center">Interaction (Concentration × Extract/Antibiotic Type)</p></td> 
      <td class="custom-top-td acenter" width="19.72%"><p style="text-align:center">1.378</p></td> 
      <td class="custom-top-td acenter" width="10.60%"><p style="text-align:center">0.4186</p></td> 
      <td class="custom-top-td acenter" width="16.68%"><p style="text-align:center">ns</p></td> 
      <td class="custom-top-td acenter" width="27.28%" colspan="2"><p style="text-align:center">No</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="25.72%"><p style="text-align:center">Row Factor (Concentration)</p></td> 
      <td class="acenter" width="19.72%"><p style="text-align:center">55.75</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="acenter" width="16.68%"><p style="text-align:center">****</p></td> 
      <td class="acenter" width="27.28%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="25.72%"><p style="text-align:center">Column Factor (Extract/Antibiotic Type)</p></td> 
      <td class="custom-bottom-td acenter" width="19.72%"><p style="text-align:center">38.88</p></td> 
      <td class="custom-bottom-td acenter" width="10.60%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="custom-bottom-td acenter" width="16.68%"><p style="text-align:center">****</p></td> 
      <td class="custom-bottom-td acenter" width="27.28%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="25.72%"><p style="text-align:center">ANOVA table</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="19.72%"><p style="text-align:center">SS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.60%"><p style="text-align:center">DF</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="16.68%"><p style="text-align:center">MS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="16.69%"><p style="text-align:center">F (DFn, DFd)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.59%"><p style="text-align:center">P value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="25.72%"><p style="text-align:center">Interaction</p></td> 
      <td class="custom-top-td acenter" width="19.72%"><p style="text-align:center">136.2</p></td> 
      <td class="custom-top-td acenter" width="10.60%"><p style="text-align:center">21</p></td> 
      <td class="custom-top-td acenter" width="16.68%"><p style="text-align:center">6.486</p></td> 
      <td class="custom-top-td acenter" width="16.69%"><p style="text-align:center">F (21, 64) = 1.053</p></td> 
      <td class="custom-top-td acenter" width="10.59%"><p style="text-align:center">P = 0.4186</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="25.72%"><p style="text-align:center">Row Factor</p></td> 
      <td class="acenter" width="19.72%"><p style="text-align:center">5509</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">3</p></td> 
      <td class="acenter" width="16.68%"><p style="text-align:center">1836</p></td> 
      <td class="acenter" width="16.69%"><p style="text-align:center">F (3, 64) = 298.2</p></td> 
      <td class="acenter" width="10.59%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="25.72%"><p style="text-align:center">Column Factor</p></td> 
      <td class="acenter" width="19.72%"><p style="text-align:center">3842</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">7</p></td> 
      <td class="acenter" width="16.68%"><p style="text-align:center">548.8</p></td> 
      <td class="acenter" width="16.69%"><p style="text-align:center">F (7, 64) = 89.12</p></td> 
      <td class="acenter" width="10.59%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="25.72%"><p style="text-align:center">Residual</p></td> 
      <td class="custom-bottom-td acenter" width="19.72%"><p style="text-align:center">394.1</p></td> 
      <td class="custom-bottom-td acenter" width="10.60%"><p style="text-align:center">64</p></td> 
      <td class="custom-bottom-td acenter" width="16.68%"><p style="text-align:center">6.158</p></td> 
      <td class="custom-bottom-td acenter" width="16.69%"><p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="10.59%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Data summary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of columns (Column Factor): 8</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of rows (Row Factor): 4</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of values: 96</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>*No significant interaction: effect of concentration is consistent across all extracts and antibiotics; Highly significant effect of concentration (dose dependent); Highly significant difference between extract and antibiotic types (n = 3).</p>
   <table-wrap id="table7">
    <label>
     <xref ref-type="table" rid="table7">
      Table 7
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147635-"></xref>Table S5. Two-way ANOVA summary showing effect of different concentrations of Ganoderma extracts and control drugs on percentage inhibition of S. aureus.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="26.48%"><p style="text-align:center">Table Analyzed</p></td> 
      <td class="custom-bottom-td acenter" width="73.52%" colspan="5"><p style="text-align:center">S. aureus Data</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="26.48%"><p style="text-align:center">Two-way ANOVA</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="73.52%" colspan="5"><p style="text-align:center">Ordinary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="26.48%"><p style="text-align:center">Alpha</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="73.52%" colspan="5"><p style="text-align:center">0.05</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="26.48%"><p style="text-align:center">Source of Variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="17.43%"><p style="text-align:center">% of total variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="13.46%"><p style="text-align:center">P value</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.32%"><p style="text-align:center">P value summary</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="30.31%" colspan="2"><p style="text-align:center">Significant?</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="26.48%"><p style="text-align:center">Interaction (Concentration × Extract/Antibiotic Type)</p></td> 
      <td class="custom-top-td acenter" width="17.43%"><p style="text-align:center">0.3817</p></td> 
      <td class="custom-top-td acenter" width="13.46%"><p style="text-align:center">0.9137</p></td> 
      <td class="custom-top-td acenter" width="12.32%"><p style="text-align:center">ns</p></td> 
      <td class="custom-top-td acenter" width="30.31%" colspan="2"><p style="text-align:center">No</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="26.48%"><p style="text-align:center">Row Factor (Concentration)</p></td> 
      <td class="acenter" width="17.43%"><p style="text-align:center">11.66</p></td> 
      <td class="acenter" width="13.46%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="acenter" width="12.32%"><p style="text-align:center">****</p></td> 
      <td class="acenter" width="30.31%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="26.48%"><p style="text-align:center">Column Factor (Extract/Antibiotic Type)</p></td> 
      <td class="custom-bottom-td acenter" width="17.43%"><p style="text-align:center">85.97</p></td> 
      <td class="custom-bottom-td acenter" width="13.46%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="custom-bottom-td acenter" width="12.32%"><p style="text-align:center">****</p></td> 
      <td class="custom-bottom-td acenter" width="30.31%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="26.48%"><p style="text-align:center">ANOVA table</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="17.43%"><p style="text-align:center">SS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="13.46%"><p style="text-align:center">DF</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.32%"><p style="text-align:center">MS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="18.19%"><p style="text-align:center">F (DFn, DFd)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.12%"><p style="text-align:center">P value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="26.48%"><p style="text-align:center">Interaction</p></td> 
      <td class="custom-top-td acenter" width="17.43%"><p style="text-align:center">168.0</p></td> 
      <td class="custom-top-td acenter" width="13.46%"><p style="text-align:center">21</p></td> 
      <td class="custom-top-td acenter" width="12.32%"><p style="text-align:center">8.002</p></td> 
      <td class="custom-top-td acenter" width="18.19%"><p style="text-align:center">F (21, 64) = 0.5857</p></td> 
      <td class="custom-top-td acenter" width="12.12%"><p style="text-align:center">P = 0.9137</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="26.48%"><p style="text-align:center">Row Factor</p></td> 
      <td class="acenter" width="17.43%"><p style="text-align:center">5133</p></td> 
      <td class="acenter" width="13.46%"><p style="text-align:center">3</p></td> 
      <td class="acenter" width="12.32%"><p style="text-align:center">1711</p></td> 
      <td class="acenter" width="18.19%"><p style="text-align:center">F (3, 64) = 125.2</p></td> 
      <td class="acenter" width="12.12%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="26.48%"><p style="text-align:center">Column Factor</p></td> 
      <td class="acenter" width="17.43%"><p style="text-align:center">37841</p></td> 
      <td class="acenter" width="13.46%"><p style="text-align:center">7</p></td> 
      <td class="acenter" width="12.32%"><p style="text-align:center">5406</p></td> 
      <td class="acenter" width="18.19%"><p style="text-align:center">F (7, 64) = 395.7</p></td> 
      <td class="acenter" width="12.12%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="26.48%"><p style="text-align:center">Residual</p></td> 
      <td class="custom-bottom-td acenter" width="17.43%"><p style="text-align:center">874.4</p></td> 
      <td class="custom-bottom-td acenter" width="13.46%"><p style="text-align:center">64</p></td> 
      <td class="custom-bottom-td acenter" width="12.32%"><p style="text-align:center">13.66</p></td> 
      <td class="acenter" width="30.31%" colspan="2"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Data summary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of columns (Column Factor): 8</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of rows (Row Factor): 4</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of values: 96</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>*No significant interaction: effect of concentration is consistent across all extracts and antibiotics; Highly significant effect of concentration (dose dependent); Highly significant difference between extract and antibiotic types (n = 3).</p>
   <table-wrap id="table8">
    <label>
     <xref ref-type="table" rid="table8">
      Table 8
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147635-"></xref>Table S6. Two-way ANOVA summary showing effect of different concentrations of Ganoderma extracts, control drugs and time on inhibition of HepG2 Cell proliferation.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="37.85%"><p style="text-align:center">Table Analyzed</p></td> 
      <td class="custom-bottom-td acenter" width="62.15%" colspan="5"><p style="text-align:center">HepG2 Data</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="37.85%"><p style="text-align:center">Two-way ANOVA</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="62.15%" colspan="5"><p style="text-align:center">Ordinary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="37.85%"><p style="text-align:center">Alpha</p></td> 
      <td class="custom-top-td acenter" width="62.15%" colspan="5"><p style="text-align:center">0.05</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="37.85%"><p style="text-align:center">Source of Variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.13%"><p style="text-align:center">% of total variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.60%"><p style="text-align:center">P value</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.13%"><p style="text-align:center">P value summary</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="27.28%" colspan="2"><p style="text-align:center">Significant?</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="37.85%"><p style="text-align:center">Interaction (Concentration × Extract Type/Anticancer drug/Time)</p></td> 
      <td class="custom-top-td acenter" width="12.13%"><p style="text-align:center">2.263</p></td> 
      <td class="custom-top-td acenter" width="10.60%"><p style="text-align:center">0.0003</p></td> 
      <td class="custom-top-td acenter" width="12.13%"><p style="text-align:center">***</p></td> 
      <td class="custom-top-td acenter" width="27.28%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="37.85%"><p style="text-align:center">Row Factor (Concentration)</p></td> 
      <td class="acenter" width="12.13%"><p style="text-align:center">17.75</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="acenter" width="12.13%"><p style="text-align:center">****</p></td> 
      <td class="acenter" width="27.28%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="37.85%"><p style="text-align:center">Column Factor (Extract Type/Anticancer drug/Time)</p></td> 
      <td class="custom-bottom-td acenter" width="12.13%"><p style="text-align:center">77.50</p></td> 
      <td class="custom-bottom-td acenter" width="10.60%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="custom-bottom-td acenter" width="12.13%"><p style="text-align:center">****</p></td> 
      <td class="custom-bottom-td acenter" width="27.28%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="37.85%"><p style="text-align:center">ANOVA table</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.13%"><p style="text-align:center">SS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.60%"><p style="text-align:center">DF</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.13%"><p style="text-align:center">MS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="16.69%"><p style="text-align:center">F (DFn, DFd)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.59%"><p style="text-align:center">P value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="37.85%"><p style="text-align:center">Interaction</p></td> 
      <td class="custom-top-td acenter" width="12.13%"><p style="text-align:center">1363</p></td> 
      <td class="custom-top-td acenter" width="10.60%"><p style="text-align:center">27</p></td> 
      <td class="custom-top-td acenter" width="12.13%"><p style="text-align:center">50.47</p></td> 
      <td class="custom-top-td acenter" width="16.69%"><p style="text-align:center">F (27, 80) = 2.693</p></td> 
      <td class="custom-top-td acenter" width="10.59%"><p style="text-align:center">P = 0.0003</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="37.85%"><p style="text-align:center">Row Factor</p></td> 
      <td class="acenter" width="12.13%"><p style="text-align:center">10685</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">3</p></td> 
      <td class="acenter" width="12.13%"><p style="text-align:center">3562</p></td> 
      <td class="acenter" width="16.69%"><p style="text-align:center">F (3, 80) = 190.0</p></td> 
      <td class="acenter" width="10.59%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="37.85%"><p style="text-align:center">Column Factor</p></td> 
      <td class="acenter" width="12.13%"><p style="text-align:center">46667</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">9</p></td> 
      <td class="acenter" width="12.13%"><p style="text-align:center">5185</p></td> 
      <td class="acenter" width="16.69%"><p style="text-align:center">F (9, 80) = 276.7</p></td> 
      <td class="acenter" width="10.59%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="37.85%"><p style="text-align:center">Residual</p></td> 
      <td class="custom-bottom-td acenter" width="12.13%"><p style="text-align:center">1499</p></td> 
      <td class="custom-bottom-td acenter" width="10.60%"><p style="text-align:center">80</p></td> 
      <td class="custom-bottom-td acenter" width="12.13%"><p style="text-align:center">18.74</p></td> 
      <td class="custom-bottom-td acenter" width="16.69%"><p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="10.59%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Data summary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="37.85%"><p style="text-align:center">Number of columns (Column Factor)</p></td> 
      <td class="custom-top-td acenter" width="62.15%" colspan="5"><p style="text-align:center">10</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="37.85%"><p style="text-align:center">Number of rows (Row Factor)</p></td> 
      <td class="acenter" width="62.15%" colspan="5"><p style="text-align:center">4</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="37.85%"><p style="text-align:center">Number of values</p></td> 
      <td class="acenter" width="62.15%" colspan="5"><p style="text-align:center">120</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>*Significant but minor contribution: effect of concentration largely consistent across all compounds &amp; time; highly significant effect of concentration (dose dependent); highly significant difference between extract, anticancer drug and time points (n = 3).</p>
   <table-wrap id="table9">
    <label>
     <xref ref-type="table" rid="table9">
      Table 9
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147635-"></xref>Table S7. Two-way ANOVA summary showing effect of different concentrations of Ganoderma extracts, control drug and time on inhibition of HCT116 cell proliferation.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="37.86%"><p style="text-align:center">Table Analyzed</p></td> 
      <td class="custom-bottom-td acenter" width="62.14%" colspan="5"><p style="text-align:center">HCT116 Data 19</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="37.86%"><p style="text-align:center">Two-way ANOVA</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="62.14%" colspan="5"><p style="text-align:center">Ordinary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="37.86%"><p style="text-align:center">Alpha</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="62.14%" colspan="5"><p style="text-align:center">0.05</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="37.86%"><p style="text-align:center">Source of Variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.13%"><p style="text-align:center">% of total variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.60%"><p style="text-align:center">P value</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.62%"><p style="text-align:center">P value summary</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="28.78%" colspan="2"><p style="text-align:center">Significant?</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="37.86%"><p style="text-align:center">Interaction (Concentration × Extract Type/Anticancer drug/Time)</p></td> 
      <td class="custom-top-td acenter" width="12.13%"><p style="text-align:center">1.461</p></td> 
      <td class="custom-top-td acenter" width="10.60%"><p style="text-align:center">0.4948</p></td> 
      <td class="custom-top-td acenter" width="10.62%"><p style="text-align:center">ns</p></td> 
      <td class="custom-top-td acenter" width="28.78%" colspan="2"><p style="text-align:center">No</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="37.86%"><p style="text-align:center">Row Factor (Concentration)</p></td> 
      <td class="acenter" width="12.13%"><p style="text-align:center">20.03</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="acenter" width="10.62%"><p style="text-align:center">****</p></td> 
      <td class="acenter" width="28.78%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="37.86%"><p style="text-align:center">Column Factor (Extract Type/Anticancer drug/Time)</p></td> 
      <td class="custom-bottom-td acenter" width="12.13%"><p style="text-align:center">74.12</p></td> 
      <td class="custom-bottom-td acenter" width="10.60%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="custom-bottom-td acenter" width="10.62%"><p style="text-align:center">****</p></td> 
      <td class="acenter" width="28.78%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="37.86%"><p style="text-align:center">ANOVA table</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="12.13%"><p style="text-align:center">SS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.60%"><p style="text-align:center">DF</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.62%"><p style="text-align:center">MS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="18.19%"><p style="text-align:center">F (DFn, DFd)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.59%"><p style="text-align:center">P value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="37.86%"><p style="text-align:center">Interaction</p></td> 
      <td class="custom-top-td acenter" width="12.13%"><p style="text-align:center">611.6</p></td> 
      <td class="custom-top-td acenter" width="10.60%"><p style="text-align:center">27</p></td> 
      <td class="custom-top-td acenter" width="10.62%"><p style="text-align:center">22.65</p></td> 
      <td class="custom-top-td acenter" width="18.19%"><p style="text-align:center">F (27, 80) = 0.9877</p></td> 
      <td class="custom-top-td acenter" width="10.59%"><p style="text-align:center">P = 0.4948</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="37.86%"><p style="text-align:center">Row Factor</p></td> 
      <td class="acenter" width="12.13%"><p style="text-align:center">8384</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">3</p></td> 
      <td class="acenter" width="10.62%"><p style="text-align:center">2795</p></td> 
      <td class="acenter" width="18.19%"><p style="text-align:center">F (3, 80) = 121.9</p></td> 
      <td class="acenter" width="10.59%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="37.86%"><p style="text-align:center">Column Factor</p></td> 
      <td class="acenter" width="12.13%"><p style="text-align:center">31022</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">9</p></td> 
      <td class="acenter" width="10.62%"><p style="text-align:center">3447</p></td> 
      <td class="acenter" width="18.19%"><p style="text-align:center">F (9, 80) = 150.3</p></td> 
      <td class="acenter" width="10.59%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="37.86%"><p style="text-align:center">Residual</p></td> 
      <td class="custom-bottom-td acenter" width="12.13%"><p style="text-align:center">1835</p></td> 
      <td class="custom-bottom-td acenter" width="10.60%"><p style="text-align:center">80</p></td> 
      <td class="custom-bottom-td acenter" width="10.62%"><p style="text-align:center">22.93</p></td> 
      <td class="custom-bottom-td acenter" width="28.78%" colspan="2"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Data summary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of columns (Column Factor): 10</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of rows (Row Factor): 4</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of values: 120</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>*No significant interaction, effect of concentration is consistent across treatments and time points; highly significant effect of concentration (dose dependent); extremely significant difference between extract, anticancer drug and time points (n = 3).</p>
   <table-wrap id="table10">
    <label>
     <xref ref-type="table" rid="table10">
      Table 10
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.147635-"></xref>Table S8. Two-way ANOVA summary showing effect of different concentrations of Ganoderma extracts, control drugs and time on inhibition of MDA-MB231 cell proliferation.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="42.41%"><p style="text-align:center">Table Analyzed</p></td> 
      <td class="custom-bottom-td acenter" width="57.59%" colspan="5"><p style="text-align:center">MDA-MB231 Data 20</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="42.41%"><p style="text-align:center">Two-way ANOVA</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="57.59%" colspan="5"><p style="text-align:center">Ordinary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="42.41%"><p style="text-align:center">Alpha</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="57.59%" colspan="5"><p style="text-align:center">0.05</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="42.41%"><p style="text-align:center">Source of Variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.62%"><p style="text-align:center">% of total variation</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="9.09%"><p style="text-align:center">P value</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.60%"><p style="text-align:center">P value summary</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="27.28%" colspan="2"><p style="text-align:center">Significant?</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="42.41%"><p style="text-align:center">Interaction (Concentration × Extract Type/Anticancer drug/Time)</p></td> 
      <td class="custom-top-td acenter" width="10.62%"><p style="text-align:center">2.019</p></td> 
      <td class="custom-top-td acenter" width="9.09%"><p style="text-align:center">0.0990</p></td> 
      <td class="custom-top-td acenter" width="10.60%"><p style="text-align:center">ns</p></td> 
      <td class="custom-top-td acenter" width="27.28%" colspan="2"><p style="text-align:center">No</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="42.41%"><p style="text-align:center">Row Factor (Concentration)</p></td> 
      <td class="acenter" width="10.62%"><p style="text-align:center">20.61</p></td> 
      <td class="acenter" width="9.09%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">****</p></td> 
      <td class="acenter" width="27.28%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="42.41%"><p style="text-align:center">Column Factor (Extract Type/Anticancer drug/Time)</p></td> 
      <td class="custom-bottom-td acenter" width="10.62%"><p style="text-align:center">73.28</p></td> 
      <td class="custom-bottom-td acenter" width="9.09%"><p style="text-align:center">&lt;0.0001</p></td> 
      <td class="custom-bottom-td acenter" width="10.60%"><p style="text-align:center">****</p></td> 
      <td class="custom-bottom-td acenter" width="27.28%" colspan="2"><p style="text-align:center">Yes</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="42.41%"><p style="text-align:center">ANOVA table</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.62%"><p style="text-align:center">SS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="9.09%"><p style="text-align:center">DF</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.60%"><p style="text-align:center">MS</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="16.69%"><p style="text-align:center">F (DFn, DFd)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="10.59%"><p style="text-align:center">P value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="42.41%"><p style="text-align:center">Interaction</p></td> 
      <td class="custom-top-td acenter" width="10.62%"><p style="text-align:center">817.2</p></td> 
      <td class="custom-top-td acenter" width="9.09%"><p style="text-align:center">27</p></td> 
      <td class="custom-top-td acenter" width="10.60%"><p style="text-align:center">30.27</p></td> 
      <td class="custom-top-td acenter" width="16.69%"><p style="text-align:center">F (27, 80) = 1.462</p></td> 
      <td class="custom-top-td acenter" width="10.59%"><p style="text-align:center">P = 0.0990</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="42.41%"><p style="text-align:center">Row Factor</p></td> 
      <td class="acenter" width="10.62%"><p style="text-align:center">8339</p></td> 
      <td class="acenter" width="9.09%"><p style="text-align:center">3</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">2780</p></td> 
      <td class="acenter" width="16.69%"><p style="text-align:center">F (3, 80) = 134.2</p></td> 
      <td class="acenter" width="10.59%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="42.41%"><p style="text-align:center">Column Factor</p></td> 
      <td class="acenter" width="10.62%"><p style="text-align:center">29657</p></td> 
      <td class="acenter" width="9.09%"><p style="text-align:center">9</p></td> 
      <td class="acenter" width="10.60%"><p style="text-align:center">3295</p></td> 
      <td class="acenter" width="16.69%"><p style="text-align:center">F (9, 80) = 159.1</p></td> 
      <td class="acenter" width="10.59%"><p style="text-align:center">P &lt; 0.0001</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="42.41%"><p style="text-align:center">Residual</p></td> 
      <td class="custom-bottom-td acenter" width="10.62%"><p style="text-align:center">1657</p></td> 
      <td class="custom-bottom-td acenter" width="9.09%"><p style="text-align:center">80</p></td> 
      <td class="custom-bottom-td acenter" width="10.60%"><p style="text-align:center">20.71</p></td> 
      <td class="custom-bottom-td acenter" width="27.28%" colspan="2"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Data summary</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of columns (Column Factor): 10</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of rows (Row Factor): 4</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="100.00%" colspan="6"><p style="text-align:center">Number of values: 120</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>No significant interaction, effect of concentration is consistent across treatments and time points; highly significant effect of concentration (dose dependent); extremely significant difference between extract, anticancer drug and time points (n = 3).</p>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.147635-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sharma, I., Wilson, R.C., Zhu, N. and Rawson, T.M. (2025) Does Anticancer Therapy Directly Contribute to Antimicrobial Resistance? The Lancet Microbe, 6, Article 101115. &gt;https://doi.org/10.1016/j.lanmic.2025.101115 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cornejo-Juárez, P., Vilar-Compte, D., Pérez-Jiménez, C., Ñamendys-Silva, S.A., Sandoval-Hernández, S. and Volkow-Fernández, P. (2015) The Impact of Hospital-Acquired Infections with Multidrug-Resistant Bacteria in an Oncology Intensive Care Unit. International Journal of Infectious Diseases, 31, 31-34. &gt;https://doi.org/10.1016/j.ijid.2014.12.022 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     El Sheikha, A.F.E. (2022) Nutritional Profile and Health Benefits of Ganoderma Lucidum “Lingzhi, Reishi, or Mannentake” as Functional Foods: Current Scenario and Future Perspectives. Foods, 11, Article 1030. &gt;https://doi.org/10.3390/foods11071030 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Moradali, M.F., Hediaroude, G.A., Mostafavi, H., Abbasi, M., Ghods, S. and Sharifi-Tehrani, A. (2007) The Genus Ganoderma (Basdiomycota) in Iran. Mycotaxon, 99, 251-269. 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Łysakowska, P., Sobota, A. and Wirkijowska, A. (2023) Medicinal Mushrooms: Their Bioactive Components, Nutritional Value and Application in Functional Food Production—A Review. Molecules, 28, Article 5393. &gt;https://doi.org/10.3390/molecules28145393 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rahimnia, R., Akbari, M.R., Yasseri, A.F., Taheri, D., Mirzaei, A., Ghajar, H.A., et al. (2023) The Effect of Ganoderma Lucidum Polysaccharide Extract on Sensitizing Prostate Cancer Cells to Flutamide and Docetaxel: An in Vitro Study. Scientific Reports, 13, Article 18940. &gt;https://doi.org/10.1038/s41598-023-46118-8 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mao, Y.H., Song, A.X., Li, Q., et al. (2020) Effects of Exopolysaccharide Fractions with Different Molecular Weights and Compositions on Fecal Microflora during in Vitro Fermentation. International Journal of Biological Macromolecules, 144, 76-84. &gt;https://doi.org/10.1016/j.ijbiomac.2019.12.072
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wang, H., Tang, R., Jiang, L. and Jia, Y. (2024) The Role of PIK3CA Gene Mutations in Colorectal Cancer and the Selection of Treatment Strategies. Frontiers in Pharmacology, 15, Article 1494802. &gt;https://doi.org/10.3389/fphar.2024.1494802 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Adotey, G., Alolga, R.N., Quarcoo, A., Yerenkyi, P., Otu, P., Anang, A.K., et al. (2023) Molecular Identification and Characterization of Five Ganoderma Species from the Lower Volta River Basin of Ghana Based on Nuclear Ribosomal DNA (nrDNA) Sequences. Journal of Fungi, 10, Article 6. &gt;https://doi.org/10.3390/jof10010006 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Stojek, K., Bobrowska-Korczak, B., Kusińska, B., Czerwonka, M., Decruyenaere, J., Decock, L., et al. (2024) Factors Affecting Composition of Fatty Acids in Wild-Growing Forest Mushrooms. Mycologia, 116, 381-391. &gt;https://doi.org/10.1080/00275514.2024.2325045 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Glamočlija, J., Ćirić, A., Nikolić, M., Fernandes, Â., Barros, L., Calhelha, R.C., et al. (2015) Chemical Characterization and Biological Activity of Chaga (Inonotus obliquus), a Medicinal “Mushroom”. Journal of Ethnopharmacology, 162, 323-332. &gt;https://doi.org/10.1016/j.jep.2014.12.069 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Largent, D.L. (1986) How to Identify Mushrooms to Genus: Macroscopic Features. 3rd Edition, Mad River Press Inc. 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Largent, D.L., Johnson, D. and Watling, R. (1977) How to Identify Mushrooms to Genus III: Microscopic Features. Mad River Press Inc. 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Xiang, Z., Liu, L., Xu, Z., Kong, Q., Feng, S., Chen, T., et al. (2024) Solvent Effects on the Phenolic Compounds and Antioxidant Activity Associated with camellia Polyodonta Flower Extracts. ACS Omega, 9, 27192-27203. &gt;https://doi.org/10.1021/acsomega.4c01321 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Espinosa-Martos, I., Rico, E. and Rupèrez, P. (2006) Note. Low Molecular Weight Carbohydrates in Foods Usually Consumed in Spain. Food Science and Technology International, 12, 171-175. &gt;https://doi.org/10.1177/1082013206063838 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zangeneh, M., Derakhshankhah, H., Modarresi, M., Haghshenas, B., Foroozanfar, Z. and Izadi, Z. (2025) In Vitro Evaluation of Antioxidant, Probiotic, and Antiproliferative Activity of Ganoderma Lucidum-Extracted Polysaccharides for the Prevention of Complication Associated with Gastrointestinal Inflammatory Diseases. Heliyon, 11, e42936. &gt;https://doi.org/10.1016/j.heliyon.2025.e42936 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lee, J.E., Jayakody, J.T.M., Kim, J.I., Jeong, J.W., et al. (2024) The Influence of Solvent Choice on the Extraction of Bioactive Compounds from Asteraceae: A Comparative Review. Foods, 13, Article 3151. &gt;https://doi.org/10.3390/foods13193151
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zhu, L., Luo, X., Tang, Q., Liu, Y., Zhou, S., Yang, Y., et al. (2013) Isolation, Purification, and Immunological Activities of a Low-Molecular-Weight Polysaccharide from the Lingzhi or Reishi Medicinal Mushroom Ganoderma Lucidum (Higher Basidiomycetes). International Journal of Medicinal Mushrooms, 15, 407-414. &gt;https://doi.org/10.1615/intjmedmushr.v15.i4.80 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Flores, G.A., Cusumano, G., Venanzoni, R. and Angelini, P. (2024) The Glucans Mushrooms: Molecules of Significant Biological and Medicinal Value. Polysaccharides, 5, 212-224. &gt;https://doi.org/10.3390/polysaccharides5030016 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Chun, S., Gopal, J. and Muthu, M. (2021) Antioxidant Activity of Mushroom Extracts/Polysaccharides—Their Antiviral Properties and Plausible Anti-COVID-19 Properties. Antioxidants, 10, Article 1899. &gt;https://doi.org/10.3390/antiox10121899 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     El-Dein, M.M.N., El-Fallal, A.A., El-Sayed, A.K.A. and El-Esseily, S.R. (2023) Antimicrobial Activities of Ganoderma Mbrekobenum Strain EGDA (Agaricomycetes) from Egypt. International Journal of Medicinal Mushrooms, 25, 31-41. &gt;https://doi.org/10.1615/intjmedmushrooms.2023049502 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref22">
    <label>22</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kolniak-Ostek, J., Oszmiański, J., Szyjka, A., Moreira, H. and Barg, E. (2022) Anticancer and Antioxidant Activities in Ganoderma Lucidum Wild Mushrooms in Poland, as Well as Their Phenolic and Triterpenoid Compounds. International Journal of Molecular Sciences, 23, Article 9359. &gt;https://doi.org/10.3390/ijms23169359 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref23">
    <label>23</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bayode, M.T., Awodire, E.F., Ojo, E.F., Adenikinju, G.O., et al. (2024) Polyphenolic Derivatives as Potential Ameliorative Agents for Microbial Superbugs: Mechanisms of Action, Cellular Pathways and Synergistic Selectivity with Chemotherapeutics. Discover Applied Sciences, 6, Article No. 484. &gt;https://doi.org/10.1007/s42452-024-06107-6
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref24">
    <label>24</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Puño-Sarmiento, J., Anderson, E.M., Park, A.J., Khursigara, C.M. and Barnett Foster, D.E. (2020) Potentiation of Antibiotics by a Novel Antimicrobial Peptide against Shiga Toxin Producing E. coli O157: H7. Scientific Reports, 10, Article No. 10029. &gt;https://doi.org/10.1038/s41598-020-66571-z 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref25">
    <label>25</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ahmad, M.F., A. Alsayegh, A., Ahmad, F.A., Akhtar, M.S., Alavudeen, S.S., Bantun, F., et al. (2024) Ganoderma Lucidum: Insight into Antimicrobial and Antioxidant Properties with Development of Secondary Metabolites. Heliyon, 10, e25607. &gt;https://doi.org/10.1016/j.heliyon.2024.e25607 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref26">
    <label>26</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kauffmann, A.C. and Castro, V.S. (2023) Phenolic Compounds in Bacterial Inactivation: A Perspective from Brazil. Antibiotics, 12, Article 645. &gt;https://doi.org/10.3390/antibiotics12040645 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref27">
    <label>27</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Lobiuc, A., Paval, N.E., Mangalagiu, I.I., Gheorghita, R., et al. (2023) Future Antimicrobials: Natural and Functionalized Phenolics. Molecules, 28, Article 1114. &gt;https://doi.org/10.3390/molecules28031114
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref28">
    <label>28</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hu, H., Liu, Y.C., Liang, X., et al. (2021) Artificial Cultivation Anti-Tumor Activity of Ganoderma mbrekobenum. Sains Malaysiana, 50, 723-733. &gt;https://doi.org/10.17576/jsm-2021-5003-14
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref29">
    <label>29</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Toson, E.A., El-Fallal, A.A., Oransa, M.A. and El-Gharabawy, H.M. (2025) In Vitro Antitumor Effects of Methanolic Extracts of Three Ganoderema Mushrooms. Scientific Reports, 15, Article No. 2274. &gt;https://doi.org/10.1038/s41598-025-86162-0 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref30">
    <label>30</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yang, Y., Kim, S. and Seki, E. (2019) Inflammation and Liver Cancer: Molecular Mechanisms and Therapeutic Targets. Seminars in Liver Disease, 39, 26-42. &gt;https://doi.org/10.1055/s-0038-1676806 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref31">
    <label>31</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Zhao, P., Mao, J.M., Zhang, S.Y., Zhou, Z.Q., et al. (2014) Quercetin Induces HepG2 Cell Apoptosis by Inhibiting Fatty Acid Biosynthesis. Oncology Letters, 8, 765-769. &gt;https://doi.org/10.3892/ol.2014.2159 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref32">
    <label>32</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Naoi, M., Wu, Y., Shamoto-Nagai, M. and Maruyama, W. (2019) Mitochondria in Neuroprotection by Phytochemicals: Bioactive Polyphenols Modulate Mitochondrial Apoptosis System, Function and Structure. International Journal of Molecular Sciences, 20, Article 2451. &gt;https://doi.org/10.3390/ijms20102451 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref33">
    <label>33</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hertel, A. and Storchová, Z. (2025) The Role of P53 Mutations in Early and Late Response to Mitotic Aberrations. Biomolecules, 15, Article 244. &gt;https://doi.org/10.3390/biom15020244 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref34">
    <label>34</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Liu, X., Xu, Y., Li, Y., Pan, Y., Sun, Z., Zhao, S. and Hou, Y. (2020) Ganoderma lucidum Fruiting Body Extracts Inhibit Colorectal Cancer by Inducing Apoptosis, Autophagy, G0/G1 Phase Cell Cycle Arrest in Vitro and in Vivo. American Journal of Translational Research, 12, 2675-2684.
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref35">
    <label>35</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Tamanna, S., Perumal, E. and Rajanathadurai, J. (2024) Enhanced Apoptotic Effects in MDA-MB-231 Triple-Negative Breast Cancer Cells through a Synergistic Action of Luteolin and Paclitaxel. Cureus, 16, e65159. &gt;https://doi.org/10.7759/cureus.65159 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref36">
    <label>36</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Jiang, J., Slivova, V., Harvey, K., Valachovicova, T. and Sliva, D. (2004) Ganoderma Lucidum Suppresses Growth of Breast Cancer Cells through the Inhibition of AKT/NF-κB Signaling. Nutrition and Cancer, 49, 209-216. &gt;https://doi.org/10.1207/s15327914nc4902_13 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref37">
    <label>37</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rios-Fuller, T.J., Ortiz-Soto, G., Lacourt-Ventura, M., Maldonado-Martinez, G., Cubano, L.A., Schneider, R.J., et al. (2018) Ganoderma lucidum Extract (GLE) Impairs Breast Cancer Stem Cells by Targeting the STAT3 Pathway. Oncotarget, 9, 35907-35921. &gt;https://doi.org/10.18632/oncotarget.26294 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref38">
    <label>38</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cháirez-Ramírez, M.H., de la Cruz-López, K.G. and García-Carrancá, A. (2021) Polyphenols as Antitumor Agents Targeting Key Players in Cancer-Driving Signaling Pathways. Frontiers in Pharmacology, 12, Article 710304. &gt;https://doi.org/10.3389/fphar.2021.710304 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref39">
    <label>39</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Jin, H., Li, M., Tian, F., Yu, F. and Zhao, W. (2022) An Overview of Anti-Tumour Activity of Polysaccharides. Molecules, 27, Article 8083. &gt;https://doi.org/10.3390/molecules27228083 
    </mixed-citation>
   </ref>
   <ref id="scirp.147635-ref40">
    <label>40</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wang, M. and Yu, F. (2022) Research Progress on the Anticancer Activities and Mechanisms of Polysaccharides from Ganoderma. Frontiers in Pharmacology, 13, Article 891171. &gt;https://doi.org/10.3389/fphar.2022.891171
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>