<?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">ABCR</journal-id><journal-title-group><journal-title>Advances in Breast Cancer Research</journal-title></journal-title-group><issn pub-type="epub">2168-1589</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/abcr.2021.104018</article-id><article-id pub-id-type="publisher-id">ABCR-112845</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Cancer Susceptibility for Male Breast Cancer Assessed by SNP-A Analysis and Risk Alleles of &lt;i&gt;TP&lt;/i&gt;53, &lt;i&gt;MDM&lt;/i&gt;2, &lt;i&gt;VEGF&lt;/i&gt;, &lt;i&gt;VEGFR&lt;/i&gt;1, &lt;i&gt;HIF&lt;/i&gt;1&lt;i&gt;A&lt;/i&gt; and &lt;i&gt;BRCA&lt;/i&gt;1
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sarika</surname><given-names>Sharma</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>Vasudha</surname><given-names>Sambyal</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>Kamlesh</surname><given-names>Guleria</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ruhi</surname><given-names>Kapahi</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>Neeti</surname><given-names>Rajan Singh</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>Mridu</surname><given-names>Manjari</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Surgery, Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, India</addr-line></aff><aff id="aff1"><addr-line>Human Cytogenetics Laboratory, Guru Nanak Dev University, Amritsar, India</addr-line></aff><aff id="aff3"><addr-line>Department of Pathology, Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, India</addr-line></aff><pub-date pub-type="epub"><day>16</day><month>08</month><year>2021</year></pub-date><volume>10</volume><issue>04</issue><fpage>218</fpage><lpage>233</lpage><history><date date-type="received"><day>17,</day>	<month>September</month>	<year>2021</year></date><date date-type="rev-recd"><day>26,</day>	<month>October</month>	<year>2021</year>	</date><date date-type="accepted"><day>29,</day>	<month>October</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; 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><p>
 
 
  Male Breast Cancer (MBC) has a familial component thus identification of polymorphic risk alleles of candidate genes and/or cytogenetic anomalies may help to predict the risk for the offspring of MBC patients. The conventional metaphase cytogenetics can indicate loci that are hotspots while analysis by single nucleotide polymorphism arrays (SNP-A) can identify chromosomal 
  defects which may play a role in the etiology of cancer. A cumulative geno
  type risk due to each allele of candidate genes of the signaling pathways regulating 
  c
  -MYC, HIF1A
  , 
  TP
  53 
  and
   BRCA
  1 
  may be a factor facilitating cancer 
  development. Cancer risk was assessed in a 35-year-old healthy son of a
   60-year-old 
  MBC patient with a family history of cancer by metaphase cytogenetics, 
  SNP-A 
  and analysis of 25 polymorphisms in six genes<b> </b>TP53, MDM2, VEGF,
   VEGFR
  1, 
  HIF
  1A, and BRCA1. The risk genotype GG-TT of MDM2 309T &gt; G and
   VEGF-417C/T polymorphisms along with chromosomal instability 
  shown by cytogenetic analysis and SNP-A, rare 
  de novo 
  duplication Yp, deletion in 7q pericentromeric region indicate an increased risk of cancer in the healthy son of an MBC patient.
 
</p></abstract><kwd-group><kwd>Breast Cancer</kwd><kwd> Aneuploidy</kwd><kwd> Polymorphism</kwd><kwd> CN-LOH</kwd><kwd> SNP-A</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>A family history of breast cancer confers a relative risk of 2.5 with 20% of men with breast cancer having a positive family history [<xref ref-type="bibr" rid="scirp.112845-ref1">1</xref>]. A first-degree relative of a cancer patient may have a 2 - 3 fold higher risk of developing cancer at the same site as family members tend to share genetic background along with environment, i.e., food, lifestyle, infections, pollutants [<xref ref-type="bibr" rid="scirp.112845-ref2">2</xref>]. Polymorphisms in both high and low penetrance genes contribute to breast tumorigenesis in combination with exogeneous (diet, pollution) and endogeneous (hormones) factors [<xref ref-type="bibr" rid="scirp.112845-ref3">3</xref>]. A cumulative genotype risk due to each allele may be a factor facilitating cancer development. The oncogenic changes involving non-random gene deletion, amplification or mutation in any oncogene and/or tumor suppressor genes cluster along the signalling pathways that regulate c-MYC, HIF1A and TP53. HIF1A can bind and stabilize p53, also stimulate angiogenesis and induce adaptation to hypoxia whereas p53 mediates hypoxia-induced apoptosis [<xref ref-type="bibr" rid="scirp.112845-ref4">4</xref>]. MDM2 is a negative regulator of p53.HIF1A up-regulates expression of VEGF during hypoxia in the majority of solid tumors [<xref ref-type="bibr" rid="scirp.112845-ref5">5</xref>]. VEGF is a potent mitogen with a vital role in normal physiological and tumor angiogenesis [<xref ref-type="bibr" rid="scirp.112845-ref6">6</xref>]. Angiogenesis also plays a crucial role in BRCA1/BRCA2 breast cancers [<xref ref-type="bibr" rid="scirp.112845-ref7">7</xref>]. VEGF binds to its receptor VEGFR1 (FLT1). Latter regulates VEGF expression as well as mediates migration of monocytes, macrophages and proliferation of endothelial cells [<xref ref-type="bibr" rid="scirp.112845-ref8">8</xref>]. Individuals carrying mutations in BRCA1/2 have a 47% - 55% probability of developing breast cancer [<xref ref-type="bibr" rid="scirp.112845-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.112845-ref10">10</xref>]. Apart from inherited mutations in BRCA2, in about 4% of patients BRCA1 tends to increase the risk of male breast cancer [<xref ref-type="bibr" rid="scirp.112845-ref11">11</xref>]. HIF1A expression has also been associated with male breast cancer [<xref ref-type="bibr" rid="scirp.112845-ref12">12</xref>].</p><p>Single Nucleotide Polymorphisms (SNPs) in the regulatory or coding regions can alter gene expression or affect protein functions and also influence different characteristics among individuals. The functional polymorphisms which alter the gene expression have been reported to be associated with the development of complex diseases like cancer [<xref ref-type="bibr" rid="scirp.112845-ref13">13</xref>]. Single Nucleotide Polymorphism Array (SNP-A) can identify even those chromosomal defects that are not apparent by metaphase cytogenetics, thus complementing the latter [<xref ref-type="bibr" rid="scirp.112845-ref14">14</xref>]. Considering the polygenic component of breast cancer, assessment of known risk-associated variants along with cytogenetic analysis can also be a useful predictor of breast cancer susceptibility.</p><p>Male breast cancer frequency is approximately 2% among breast cancer patients in India. The risk of breast cancer in a healthy male offspring of an MBC patient was estimated to be approximately 22% with a 10% chance of identifying a mutation in BRCA1 and BRCA2.In the absence of any specific tool available for assessing breast cancer risk in the Indian population, the pedigree assessment tool, the Ontario family assessment tool, Manchester scoring system available for the USA population were used to estimate the risk</p><p>(https://www.uspreventiveservicestaskforce.org/apps/). Hence a multidimensional approach was used to estimate genetic risk for cancer in the healthy male offspring of Indian Male Breast Cancer (MBC) patients using classical cytogenetic analysis by G-banding, SNP-A and study of twenty-five variants in six genes (TP53, MDM2, HIF1A,VEGF, VEGFR1 andBRCA1) involved in proliferation, apoptosis, angiogenesis and tumor progression. The SNPs selected in the present study (<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> Detail of BRCA1, TP53, VEGF, HIF1A, MDM2, VEGFR1 variants and reaction conditions used for screening</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Gene</th><th align="center" valign="middle" >Variant</th><th align="center" valign="middle" >Location</th><th align="center" valign="middle" >Genotyping Method</th><th align="center" valign="middle" >PCR Product (bp)</th><th align="center" valign="middle" >Annealing Temperature, MgCl<sub>2</sub> concentration</th><th align="center" valign="middle" >Restriction enzyme</th><th align="center" valign="middle" >Restriction digestion pattern</th><th align="center" valign="middle" >Primers Reference</th></tr></thead><tr><td align="center" valign="middle" >BRCA1</td><td align="center" valign="middle" >p.Pro871Leu (c.2612C &gt; T)</td><td align="center" valign="middle" >Exon 10</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >125</td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" >Hpa II</td><td align="center" valign="middle" >C allele-99 and 26 T allele-125</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref15">15</xref>]</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >p.Cys64Arg (c.190T &gt; C)</td><td align="center" valign="middle" >Exon 5</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >193</td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" >SnaB I</td><td align="center" valign="middle" >T allele-193 C allele-124 and 69</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref16">16</xref>]</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >130delT</td><td align="center" valign="middle" >Exon 11</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >151</td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" >Dde I</td><td align="center" valign="middle" >Wt-151 Mut-96 and 55</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref17">17</xref>]</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >p.G1738R (g.5331G &gt; A)</td><td align="center" valign="middle" >Exon 20</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >233</td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" >BsaX I</td><td align="center" valign="middle" >G allele-112, 91, 30 A allele-233</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref18">18</xref>]</td></tr><tr><td align="center" valign="middle" >TP53</td><td align="center" valign="middle" >p.P47S</td><td align="center" valign="middle" >Exon 4</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >201/185*</td><td align="center" valign="middle" >59˚C, 1 mM</td><td align="center" valign="middle" >MspI</td><td align="center" valign="middle" >S allele-201/185 P allele-156/140, 45</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref19">19</xref>]</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >p.R72P</td><td align="center" valign="middle" >Exon 4</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >279</td><td align="center" valign="middle" >59˚C, 1 mM</td><td align="center" valign="middle" >BstUI</td><td align="center" valign="middle" >P allele 279 R allele-160 and 119</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref20">20</xref>]</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >PIN3 Ins 16 bp</td><td align="center" valign="middle" >Intron 3</td><td align="center" valign="middle" >PCR</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >61˚C, 1 mM</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >A1 allele-119 A2 allele-135</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref21">21</xref>]</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >p.R213R</td><td align="center" valign="middle" >Exon 6</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >1621</td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" >TaqI</td><td align="center" valign="middle" >A allele-312, 383 and 926 G allele-695 and 926</td><td align="center" valign="middle"  rowspan="2"  >[<xref ref-type="bibr" rid="scirp.112845-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.112845-ref22">22</xref>]</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >r.13494g &gt; a</td><td align="center" valign="middle" >Intron 6</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >1621</td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" >MspI</td><td align="center" valign="middle" >G allele-356, 277, 277, 299, 168, 124 and 120 A allele-633, 299, 277, 168, 124, 120</td></tr><tr><td align="center" valign="middle" >VEGF</td><td align="center" valign="middle" >−2549I/D</td><td align="center" valign="middle" >Promoter</td><td align="center" valign="middle" >PCR</td><td align="center" valign="middle" >229/211</td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >I allele 229 D allele 211</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref23">23</xref>]</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−2578C/A</td><td align="center" valign="middle" >Promoter</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >459</td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" >BglII</td><td align="center" valign="middle" >C allele-459 A allele-247, 212</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref24">24</xref>]</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >+936C/T</td><td align="center" valign="middle" >3'UTR</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >207</td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" >NlaIII</td><td align="center" valign="middle" >C allele-207 T allele-122,85</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref25">25</xref>]</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−417C/T</td><td align="center" valign="middle" >Promoter</td><td align="center" valign="middle" >Sequencing</td><td align="center" valign="middle" >486bp</td><td align="center" valign="middle" >62˚C, 1.5 mM</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref26">26</xref>]</td></tr><tr><td align="center" valign="middle" ><sub> </sub></td><td align="center" valign="middle" >−172C/A</td><td align="center" valign="middle" >Promoter</td><td align="center" valign="middle" >Sequencing</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−165C/T</td><td align="center" valign="middle" >Promoter</td><td align="center" valign="middle" >Sequencing</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−160C/T</td><td align="center" valign="middle" >Promoter</td><td align="center" valign="middle" >Sequencing</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−152G/A</td><td align="center" valign="middle" >Promoter</td><td align="center" valign="middle" >Sequencing</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−141A/C</td><td align="center" valign="middle" >Promoter</td><td align="center" valign="middle" >Sequencing</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−116G/A</td><td align="center" valign="middle" >Promoter</td><td align="center" valign="middle" >Sequencing</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−7C/T</td><td align="center" valign="middle" >5' UTR</td><td align="center" valign="middle" >ARMS-PCR</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Control-425 C and T allele-183</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref27">27</xref>]</td></tr><tr><td align="center" valign="middle" >HIF1A</td><td align="center" valign="middle" >g.C111A</td><td align="center" valign="middle" >Exon 2</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >187</td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" >BglII</td><td align="center" valign="middle" >C allele-44, 143 A allele-187</td><td align="center" valign="middle"  rowspan="3"  >[<xref ref-type="bibr" rid="scirp.112845-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.112845-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.112845-ref28">28</xref>]</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >g.C1772T</td><td align="center" valign="middle" >Exon 12</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >346</td><td align="center" valign="middle" >55˚C, 1.5 mM</td><td align="center" valign="middle" >HphI</td><td align="center" valign="middle" >C allele 118, 228 T allele 346</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >g.G1790A</td><td align="center" valign="middle" >Exon 12</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >346</td><td align="center" valign="middle" >55˚C, 1.5 mM</td><td align="center" valign="middle" >AciI</td><td align="center" valign="middle" >G allele 145, 201 A allele 346</td></tr><tr><td align="center" valign="middle" >MDM2</td><td align="center" valign="middle" >SNP309T &gt; G</td><td align="center" valign="middle" >Promoter</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >351</td><td align="center" valign="middle" >59˚C, 1.5 mM</td><td align="center" valign="middle" >MspAII</td><td align="center" valign="middle" >T allele-232, 88, 31 G allele-186, 88, 46, 31</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref29">29</xref>]</td></tr><tr><td align="center" valign="middle" >VEGFR1</td><td align="center" valign="middle" >−710C/T</td><td align="center" valign="middle" >Promoter</td><td align="center" valign="middle" >PCR-RFLP</td><td align="center" valign="middle" >665</td><td align="center" valign="middle" >65˚C, 1.5 mM</td><td align="center" valign="middle" >Nla III</td><td align="center" valign="middle" >C allele-665 T allele-520, 145</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.112845-ref30">30</xref>]</td></tr></tbody></table></table-wrap><p>ARMS-PCR: Amplification refractory mutation system—Polymerase chain reaction; PCR-RFLP: Polymerase chain reaction—Restriction fragment length polymorphism.</p><p>had been previously reported to be related to cancer risk due to their effect on protein expressions or functions.</p></sec><sec id="s2"><title>2. Methods</title>Case Presentation<p>The proband was healthy son aged 35 years (IV:2) of a 60 year old male breast cancer (MBC) patient (III:1) (<xref ref-type="fig" rid="fig1">Figure 1</xref>(I)). The proband sought information about his own susceptibility to cancer as he also had a positive family history; his grandfather (II:4) and paternal grand uncle (II:3) had died of throat and blood cancer respectively. His father, the MBC patient (III.1, <xref ref-type="fig" rid="fig1">Figure 1</xref>(I)) had presented with a growth (2 &#215; 1 cm) in outer upper quadrant of left breast with a history of inflammation on left breast for past two years at the time of diagnosis. The clinical examination and histopathology confirmed infiltrating ductal carcinoma of breast, stage II (ER+, PR+, Her-2neu –ve). After written informed consent, blood samples of both subjects were collected in EDTA and heparin vacutainers. Heparinised blood was used to set up standard 72 hour peripheral blood culture [<xref ref-type="bibr" rid="scirp.112845-ref31">31</xref>]. Cultured cells were G-banded, karyotypes were made and described as per ISCN, 2016 [<xref ref-type="bibr" rid="scirp.112845-ref32">32</xref>]. Genomic DNA was extracted from EDTA anticoagulated blood using standard phenol-chloroform method [<xref ref-type="bibr" rid="scirp.112845-ref33">33</xref>]. Twenty five variants of six genes (TP53, MDM2,HIF1A,VEGF, VEGFR1andBRCA1) were screened by PCR-RFLP or direct PCR method using previously published primer sequences (<xref ref-type="table" rid="table1">Table 1</xref>). The samples were also analyzed using Illumina Human Cyto SNP array and data was analyzed using KaryoStudio (v 1.2). This study was approved by the Ethics Committee of Guru Nanak Dev University, Amritsar, Punjab, India.</p></sec><sec id="s3"><title>3. Results</title><p>Karyotypic analysis by G-banding showed increased frequency of chromosomal aberrations in MBC patient (79.9%) especially numerical aberrations than proband, his healthy son (73.9%). The proband had low level mosaicism and increased chromosomal instability; he had a monosomy of chromosome 11, numerical and structural anomalies in chromosome 6 along with structural aberrations in chromosome 13, 14, 21, 22, marker chromosomes and ring chromosomes (<xref ref-type="table" rid="table2">Table 2</xref>). The proband also had copy neutral LOH (CN-LOH) in adrenal hyperplasia associated region on 6p22.3 - 6p21.2, duplication in Yp11.2 and Yp11.3 and deletion in 7q11-21 pericentromeric region (Figures 1(II)-(A)-(D)). In MBC patient, monosomy of chromosome 12, 17, 19, loss of Y and trisomy of 21 was observed. Chromosome 21 was also involved in translocations with chromosomes 1, 14 and 15 (<xref ref-type="table" rid="table2">Table 2</xref>). The SNP-A of MBC patient showed a loss of Yq11.22.2 and gain in Yq11.22.1 in the azoospermia (AZF) region (<xref ref-type="fig" rid="fig1">Figure 1</xref>(III)-(a) and <xref ref-type="fig" rid="fig1">Figure 1</xref>(III)-(b)).</p><p>Among polymorphic variants analyzed, the MBC patient was homozygous for variant allele of 5 polymorphisms; MDM2 SNP 309T &gt; G and four polymorphisms of VEGF (−2578C/A, −417C/T, −152G/A, −116G/A). The proband was</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Cytogenetics profile of MBC patient and his healthy son</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Proband (Son)</th><th align="center" valign="middle" >MBC Patient (Father)</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Classical Cytogenetics with GTG banding</td></tr><tr><td align="center" valign="middle" >Representative Karyotypes</td><td align="center" valign="middle" >43,Y,-X,-11,-12,-13,-16,+2mar/44,XY,-11,t(13;?)(q;?),+13,-14/45,XY,dic(2;6)(qter→p24::p23→qter), +6,chtb(9)(q2?),-11/45,XY,dic(21;22)(qter →p13?::p13?→qter)/45,XY,rob(13;14)(q10;q10)/45,XY,-4,+5,-6,+19,-20,-21,+mar/46,XY,del(1)(pter→q10:)[<xref ref-type="bibr" rid="scirp.112845-ref4">4</xref>]/Ring, Triradials, Polyploidy/46,XY[<xref ref-type="bibr" rid="scirp.112845-ref11">11</xref>]</td><td align="center" valign="middle" >45,X,-Y[<xref ref-type="bibr" rid="scirp.112845-ref2">2</xref>]/45,XY,-19/46,XY,-17,+21/45,XY,tas(1;21)(q44;q11.2),chtb(5)(q13),-12,+21/46,XY,tas(7;20)(q36;p13)/46,XY,add(4)(q?),add(7)(q?),+9,-12,+16,-22/84,XXYY,+X,+1,-4,-5,-7,-9,-10,-11,-11,-12,-14,-17,+19,-20,+21,-22/Polyploidy[<xref ref-type="bibr" rid="scirp.112845-ref10">10</xref>],dmin[<xref ref-type="bibr" rid="scirp.112845-ref2">2</xref>]/46,XY[<xref ref-type="bibr" rid="scirp.112845-ref11">11</xref>]</td></tr><tr><td align="center" valign="middle"  colspan="3"  >SNP-A Profile</td></tr><tr><td align="center" valign="middle" >Gain</td><td align="center" valign="middle" >Yp11.2, Yp11.3</td><td align="center" valign="middle" >Yq11.22.1</td></tr><tr><td align="center" valign="middle" >Loss</td><td align="center" valign="middle" >7q11-21</td><td align="center" valign="middle" >Yq11.22.2</td></tr><tr><td align="center" valign="middle" >CN-LOH</td><td align="center" valign="middle" >6p22.3-6p21.2</td><td align="center" valign="middle" >-</td></tr></tbody></table></table-wrap><p>homozygous for variant allele of VEGF -417C/T andMDM2 309T &gt; G polymorphisms. The proband was heterozygous for 8 polymorphisms, three in TP53 (p.R72P, PIN3 Ins 16bp and r.13494g &gt; a) and four in VEGF (−2549I/D, −2578C/A, −152G/A, −116G/A) and one in BRCA1 (p.Pro871Leu). For VEGF +936C/T and HIF1A g.C1772T polymorphism, the MBC patient was heterozygous while his son (proband) had wild type genotype (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>Polymorphisms have an important role in promoting susceptibility to diseases as well as the response of the individuals to various drugs [<xref ref-type="bibr" rid="scirp.112845-ref34">34</xref>]. As individual polymorphism may confer a minor increase of disease risk, collectively the common cancer associated SNPs can cause a substantial elevated risk. In current study both MBC patient and his healthy son had RP-GG genotype for TP53 p.R72P and MDM2 309T &gt; G polymorphism. The MDM2 GG genotype has been associated with deficiency in p53 response, being a negative regulator of p53. It is also associated with a significantly reduced age of onset for p53 dependent cancer. The R72 allele has 15-fold greater capacity for inducing apoptosis than P72 allele. Though both PP genotype of TP53 p.R72P and GG genotype of MDM2 309T &gt; G polymorphisms have not been independently associated with overall breast cancer risk [<xref ref-type="bibr" rid="scirp.112845-ref35">35</xref>], they are believed to act as effect modifier instead of being causal [<xref ref-type="bibr" rid="scirp.112845-ref36">36</xref>].</p><p>The MBC patient was heterozygous for BRCA1 p.Pro87leu, TP53 p.R72P, VEGF + 936C/T and HIF1A g.C1772T polymorphisms. BRCA1 acts as a transcriptional co-activator and increases p53 dependent transcription from p21 and BAX promoters [<xref ref-type="bibr" rid="scirp.112845-ref37">37</xref>]. BRCA1 has been reported to block VEGF promoter activity by oestrogen receptor alpha [<xref ref-type="bibr" rid="scirp.112845-ref38">38</xref>]. An upregulated local concentration of estrogen selectively supports survival and proliferation of breast cancer cells with BRCA1 mutations [<xref ref-type="bibr" rid="scirp.112845-ref39">39</xref>]. The MBC patient was ER + ve, PR + ve and HER-2-neu negative. MBC patients usually have high ER (90%) and PR (81%) positivity and lower Her-2-neu positivity (2% - 15%) [<xref ref-type="bibr" rid="scirp.112845-ref40">40</xref>]. Hormonal, environmental factors</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Molecular genetic profile of male breast cancer patient and his healthy son</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Gene</th><th align="center" valign="middle" >Variant</th><th align="center" valign="middle" >RefSNP</th><th align="center" valign="middle" >Proband</th><th align="center" valign="middle" >MBC Patient</th><th align="center" valign="middle" >Functional Relevance</th></tr></thead><tr><td align="center" valign="middle" >BRCA1</td><td align="center" valign="middle" >p.Pro871Leu (c.2612C &gt; T)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >Associated with increased BRCA1 expression</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >p.Cys64Arg (c.190T &gt; C)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >Prevents BRCA1-BARD1 binding</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >130delT</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >WT</td><td align="center" valign="middle" >WT</td><td align="center" valign="middle" >Premature stop codon at AA residue 409</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >p.G1738R (g.5331G &gt; A)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >Destabilizes protein folding</td></tr><tr><td align="center" valign="middle" >TP53</td><td align="center" valign="middle" >p.R72P</td><td align="center" valign="middle" >rs1042522</td><td align="center" valign="middle" >RP</td><td align="center" valign="middle" >RP</td><td align="center" valign="middle" >Plays role in apoptosis</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >PIN3 Ins 16bp</td><td align="center" valign="middle" >rs17878362</td><td align="center" valign="middle" >A1A2</td><td align="center" valign="middle" >A1A1</td><td align="center" valign="middle" >Affects function and expression of p53</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >p.P47S</td><td align="center" valign="middle" >rs1800371</td><td align="center" valign="middle" >PP</td><td align="center" valign="middle" >PP</td><td align="center" valign="middle" >Plays role in apoptosis</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >p.R213R</td><td align="center" valign="middle" >rs1800372</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >Role in activity of protein</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >r.13494g &gt; a</td><td align="center" valign="middle" >rs1625895</td><td align="center" valign="middle" >GA</td><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >Affects function and expression of p53</td></tr><tr><td align="center" valign="middle" >VEGF</td><td align="center" valign="middle" >−2549I/D</td><td align="center" valign="middle" >rs35569394</td><td align="center" valign="middle" >ID</td><td align="center" valign="middle" >II</td><td align="center" valign="middle" >D allele associated with increased transcriptional activity</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−2578C/A</td><td align="center" valign="middle" >rs699947</td><td align="center" valign="middle" >CA</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >Alters the binding of GATA-2 transcription factor</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >+936C/T</td><td align="center" valign="middle" >rs3025039</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >CT</td><td align="center" valign="middle" >Alters binding of transcription factor activating enhancer binding protein</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−417C/T</td><td align="center" valign="middle" >rs833062</td><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >TT</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−172C/A</td><td align="center" valign="middle" >rs59260042</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >Associated with ↑ VEGF m-RNA level</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−165C/T</td><td align="center" valign="middle" >rs79469752</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−160C/T</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−152G/A</td><td align="center" valign="middle" >rs13207351</td><td align="center" valign="middle" >GA</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−141A/C</td><td align="center" valign="middle" >rs28357093</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−116G/A</td><td align="center" valign="middle" >rs1570360</td><td align="center" valign="middle" >GA</td><td align="center" valign="middle" >AA</td><td align="center" valign="middle" >A allele associated with reduced plasma VEGF level</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >−7C/T</td><td align="center" valign="middle" >rs25648</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >HIF1A</td><td align="center" valign="middle" >g.C1772T</td><td align="center" valign="middle" >rs11549465</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >CT</td><td align="center" valign="middle"  rowspan="3"  >Associated with higher transcriptional activities and enhanced angiogenesis</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >g.G1790A</td><td align="center" valign="middle" >rs11549467</td><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >GG</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >g.C111A</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >CC</td></tr><tr><td align="center" valign="middle" >MDM2</td><td align="center" valign="middle" >SNP309T &gt; G</td><td align="center" valign="middle" >rs2279744</td><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >GG</td><td align="center" valign="middle" >Associated with enhanced MDM2 expression and attenuates function of TP53 protein</td></tr><tr><td align="center" valign="middle" >VEGFR1 (FLT1)</td><td align="center" valign="middle" >−710C/T</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >CC</td><td align="center" valign="middle" >-</td></tr></tbody></table></table-wrap><p>can be a cause of breast cancer as Polycyclic Aromatic Hydrocarbons (PAHs), benzol (α), pyrene have been found to reduce BRCA1 mRNA levels in MCF-7 human breast cells [<xref ref-type="bibr" rid="scirp.112845-ref41">41</xref>]. The MBC patient and his son were agriculturists. Former had a self reported long term exposure to agricultural chemicals especially chemical fertilizers and pesticides like organochlorines which are known carcinogens and tumor promoters.</p><p>Chromosomal translocations are considered non-random and may lead to cancer by formation of oncogenic fusion proteins or activation of oncogenes by a promoter or enhancer [<xref ref-type="bibr" rid="scirp.112845-ref42">42</xref>]. The MBC patient had translocations involving chromosome 21 as well as copy number changes in 21. Chromosome 21 harbors genes RUNX1 and DYRK1A which have been implicated in tumorigenesis [<xref ref-type="bibr" rid="scirp.112845-ref43">43</xref>] [<xref ref-type="bibr" rid="scirp.112845-ref44">44</xref>]. Translocations have been reported to be influenced by spatial position of broken loci, recombinations or DNA repair elements [<xref ref-type="bibr" rid="scirp.112845-ref42">42</xref>] [<xref ref-type="bibr" rid="scirp.112845-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.112845-ref46">46</xref>]. In proband, chromosome 13 was involved in translocations and copy number changes. Chromosome 13 harbors two well known genes BRCA2 and RB involved in tumorigenesis. Chromosome 6 showed copy number changes, was involved in translocations, formed a dicentric and also had copy neutral loss of heterozygosity (CN-LOH). The LOH region harbours various genes like ALDH5A1, HFE, CDSN, NEU1, C2, SKIV2L, CYP21A2, TNXB, TAP2, TAP1, TAPBP, PSMB8, COL11A2, TULP1 and PNPLA1, some of which have role in proliferation.</p><p>Many chromosomal regions showing uniparental disomy (UPD) are consistent and specific for tumor types and appear more frequently in solid tumors than leukemia [<xref ref-type="bibr" rid="scirp.112845-ref47">47</xref>]. UPD has been previously reported in breast cancer [<xref ref-type="bibr" rid="scirp.112845-ref48">48</xref>] [<xref ref-type="bibr" rid="scirp.112845-ref49">49</xref>] and other tumors. Mutated genes in UPD have been considered indicative of patient outcome with implications in response to chemotherapy. Constitutional UPD is associated with meiotic errors, resulting in developmental diseases, however, it can also be observed in healthy controls, probably because of early mitotic errors and autozygosity [<xref ref-type="bibr" rid="scirp.112845-ref50">50</xref>]. The CN-LOH at 6p22.3-p21.2 observed by SNP-A analysis in proband has been previously reported in patients of developmental delay as well as in healthy controls [<xref ref-type="bibr" rid="scirp.112845-ref14">14</xref>]. Loss of 6p22.3 has been associated with developmental delays and autism spectrum disorders with a possible haploinsufficiency of ATXN1 [<xref ref-type="bibr" rid="scirp.112845-ref51">51</xref>] [<xref ref-type="bibr" rid="scirp.112845-ref52">52</xref>]. Acquired UPD are common in both hematologic and solid tumors constituting 20% - 80% of LOH seen in human cancers [<xref ref-type="bibr" rid="scirp.112845-ref53">53</xref>] [<xref ref-type="bibr" rid="scirp.112845-ref54">54</xref>]. In myeloid malignancies CN-LOH has been associated with loss of normal allele of JAK2,MPL,cCKIT andFLT3 along with duplications of oncogenic mutations [<xref ref-type="bibr" rid="scirp.112845-ref14">14</xref>]. CN-LOH 6p22.1 and loss of chromosome 9, 15, 18 have been observed in tumor tissue of tubulocystic renal cell carcinoma [<xref ref-type="bibr" rid="scirp.112845-ref55">55</xref>]. The adrenal hyperplasia region on 6p21.3 also has gene for 21-hydroxylase enzyme which controls cortisol synthesis. The cortisol synthesis pathway shares steps with aldosterone, androgens and estradiol synthesis pathways. The 6p22.3-6p21.2 region harbours many genes like HFE, EHMT2, CLIC1, DAXX, DDR1, E2F3, ID4, BAK1, HLA-G, IER3, LTA, MAPK14 with role as channel proteins or in apoptotic pathways [<xref ref-type="bibr" rid="scirp.112845-ref56">56</xref>]. Genetic variants in the region 6p21.1 - p22.3 along with VEGFA and CDKAL1 have also been associated with type 2 diabetes [<xref ref-type="bibr" rid="scirp.112845-ref57">57</xref>]. Hypoandrogenism, liver disease causing hyperestrogenism, gynaecomastia, obesity and alcohol intake are among possible risk factors for breast cancer apart from family history [<xref ref-type="bibr" rid="scirp.112845-ref58">58</xref>]. The MBC patient did have a past history of alcohol consumption but the proband had no past history of alcohol intake or smoking.</p><p>The copy number variations, deletions and duplications in Y chromosome observed were different in both father and son. In MBC patient, the azoospermia factor region on Yq showed both gain and loss. The AZF region has genes involved in germ cell differentiation and spermatogenesis. Though they are not directly linked to breast cancer yet, mosaic deletions in these genes have been proposed as risk marker for non-Hodgkins lymphoma and testicular cancers. Post zygotic AZF deletions occur during early embryogenesis and may precede appearance of a testicular tumor by many years [<xref ref-type="bibr" rid="scirp.112845-ref59">59</xref>]. In the MBC patient, a complete loss of Y chromosome was also observed in karyotypic analysis of some metaphases. A study on colorectal and prostate cancer patients had found a strong association between the mosaic loss of Y chromosome in peripheral blood and carcinogenesis in males [<xref ref-type="bibr" rid="scirp.112845-ref60">60</xref>].</p><p>The son did not inherit the Yq deletions observed in his father but had a de novo duplication of Yp11.2-11.3. This duplication, a rare event, has been reported as a constitutional duplication of a portion of Yp in two brothers of Italian descent, one with B cell lymphoma and his healthy sibling, presumed to be inherited from their father [<xref ref-type="bibr" rid="scirp.112845-ref61">61</xref>]. Phylogenetic sequence comparisons show that duplications of the human Yp11.2/Yp11.1 region were already present in the macaque-human ancestor as multiple paralogs located predominantly in subtelomeric regions [<xref ref-type="bibr" rid="scirp.112845-ref62">62</xref>]. The short arm of the human Y chromosome harbor various genes viz. TSPY1,TSPY2,TSPY3,TSPY4,TSPY8,TBL1Y,TGIF2LY, AMELY, SRY,ZFY, etc. Among them variant expression of TSPY, a protooncogene, has been observed in gonadoblastoma [<xref ref-type="bibr" rid="scirp.112845-ref63">63</xref>], germ cell neoplasia, liver cancer, melanoma and prostate cancer along with another male specific gene TGIF2LY, found to be upregulated in liver cancer [<xref ref-type="bibr" rid="scirp.112845-ref64">64</xref>]. Thus, in the proband the duplication of the Yp region may lead to ectopic expression of genes influencing the development and progression of cancer.</p><p>Y chromosome loss and rearrangements have been associated with different types of cancer, such as bladder cancer [<xref ref-type="bibr" rid="scirp.112845-ref65">65</xref>], male sex cord stroma tumors [<xref ref-type="bibr" rid="scirp.112845-ref66">66</xref>], lung cancer [<xref ref-type="bibr" rid="scirp.112845-ref67">67</xref>] and esophageal carcinoma [<xref ref-type="bibr" rid="scirp.112845-ref68">68</xref>]. In a previous report, in an infertile man with severe oligoasthenoteratozoospermia, an approximate 2.4 Mb inherited duplication region in Yp11.2 and a de novo partial AZFb deletion (which spanned 5.25 Mb including eight protein coding genes and four non-coding transcripts) was observed which did not remove the RBMY gene family [<xref ref-type="bibr" rid="scirp.112845-ref69">69</xref>]. The proband in our study with Yp duplication was fertile and had three offsprings (<xref ref-type="fig" rid="fig1">Figure 1</xref>(I)).</p><p>The proband also had deletion in 7q11-21 region. The pericentromeric region of chromosome 7q contains intrachromosomal segmental duplications that give rise to recurrent constitutional genomic rearrangements. A majority of patients with Williams-Beuren syndrome (WBS) have a micro-deletion of about 1.5 Mb from chromosome 7q11. Also, deletions flanking the typical breakpoints of the WBS microdeletion in two genes, NCF1 and GTF2IRD2 have shown reduced expression levels, presumably because their transcription control elements are affected by the deletion [<xref ref-type="bibr" rid="scirp.112845-ref70">70</xref>].</p><p>Monosomy of chromosome 11 observed in proband is among the chromosome anomalies frequently observed in bladder cancer. The numerical aberrations of chromosome 11 in which Cyclin-D is located, deletion of 11p and also mutations of the H-RAS located on 11p might reflect alterations implicated in the genesis and progression of bladder cancer. Translocations of genetic material between chromosome 11 and other chromosomes have been associated with leukemias and lymphomas [<xref ref-type="bibr" rid="scirp.112845-ref71">71</xref>]. The cytogenetic analysis of malignant primitive neuroectodermal SK-PN-DW tumor cell line have revealed several chromosomal rearrangements like translocations involving chromosomes 1, 7, 11,17, 22 and loss of chromosomes Y, 11,13 and 18 [<xref ref-type="bibr" rid="scirp.112845-ref72">72</xref>]. Aneusomy of chromosome 1, 11, or 17 has been correlated significantly with some clinicopathologic features of breast tumors, such as lymph node status, histologic grade, or ER and PR status, indicating that chromosomal aneusomy can be a new biologic marker of breast carcinoma [<xref ref-type="bibr" rid="scirp.112845-ref73">73</xref>] [<xref ref-type="bibr" rid="scirp.112845-ref74">74</xref>].</p></sec><sec id="s5"><title>5. Conclusion</title><p>In the proband, the risk genotype GG-TT of MDM2 309T &gt; G and VEGF-417C/T polymorphisms along with chromosomal instability shown by cytogenetic analysis and SNP-A, rare de novo duplication Yp, deletion in 7q pericentromeric region indicate an increased risk in the proband (the son of MBC patient). Some of the additional anomalies observed in SNP-A analysis have not been reported in male breast cancer earlier. The results add to the database of anomalies associated with MBC and can have utility in counselling the relatives of MBC patients.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We are thankful to Dr. Geeta Sharma, former Principal, Sri Guru Ram Das Institute of Medical Sciences and Research, Vallah, Amritsar, Punjab, for her help in providing access to the patients.</p></sec><sec id="s7"><title>Ethical Approval</title><p>All the study subjects gave their written consent to participate in the study. This study was approved by the Institutional Ethics Committee of Guru Nanak Dev University, Amritsar, Punjab, India.</p></sec><sec id="s8"><title>Sources of Funding</title><p>Project fellowship to Sarika Sharma and financial support from UGC to Kamlesh Guleria vide grant F.No.40-293/2011(SR), Research fellowship to Ruhi Kapahi from ICMR, and financial support to Kamlesh Guleria and Vasudha Sambyal from DBT vide grant BT/PR 13252/GBD/27/236/2009 and from UGC to Vasudha Sambyal vide grant F.No.41-824/2012 (SR), is gratefully acknowledged.</p></sec><sec id="s9"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s10"><title>Cite this paper</title><p>Sharma, S., Sambyal, V., Guleria, K., Kapahi, R., Singh, N.R. and Manjari, M. (2021) Cancer Susceptibility for Male Breast Cancer Assessed by SNP-A Analysis and Risk Alleles of TP53, MDM2, VEGF, VEGFR1, HIF1A and BRCA1. Advances in Breast Cancer Research, 10, 218-233. https://doi.org/10.4236/abcr.2021.104018</p></sec></body><back><ref-list><title>References</title><ref id="scirp.112845-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Center, R., Lukeis, R., Vrazas, V. and Garson, O.M. (1993) Y Chromosome Loss and Rearrangement in Non-Small-Cell Lung Cancer. International Journal of Cancer, 55, 390-393. https://doi.org/10.1002/ijc.2910550309</mixed-citation></ref><ref id="scirp.112845-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Hunter, S., Gramlich, T., Abbott, K. and Varma, V. (1993) Y Chromosome Loss in Esophageal Carcinoma: An in Situ Hybridization Study. Genes Chromosomes and Cancer, 8, 172-177. https://doi.org/10.1002/gcc.2870080306</mixed-citation></ref><ref id="scirp.112845-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Shi, Y.C., Cui, Y.X., Zhou, Y.C., Wei, L., Jiang, H.T., Xia, X.Y., Lu, H.Y., Wang, H.Y., Shang, X.J., Zhu, W.M., Li, X.J. and Huang, Y.F. (2011) A Rare Y Chromosome Constitutional Rearrangement: A Partial AZFb Deletion and Duplication within Chromosome Yp in an Infertile Man with Severe Oligoasthenoteratozoospermia. International Journal of Andrology, 34, 461-469.  
https://doi.org/10.1111/j.1365-2605.2010.01098.x</mixed-citation></ref><ref id="scirp.112845-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Emanuel, B.S. and Saitta, S.C. (2007) From Microscopes to Microarrays: Dissecting Recurrent Chromosomal Rearrangements. Nature Reviews Genetics, 8, 869-883.</mixed-citation></ref><ref id="scirp.112845-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Panani, A.D., Babanaraki, A., Malianga, E. and Roussos, C.H. (2004) Numerical Aberrations of Chromosomes 9 and 11 Detected by FISH in Greek Bladder Cancer Patients. Anticancer Research, 24, 3857-3862. https://doi.org/10.1038/nrg2136</mixed-citation></ref><ref id="scirp.112845-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Du, N., Bao, W., Zhang, K., Lu, X., Crew, R., Wang, X., Liu, G. and Wang, F. (2019) Cytogenetic Characterization of the Malignant Primitive Neuroectodermal SK-PN-DW Tumor Cell Line. BMC Cancer, 19, 412. https://doi.org/10.1186/s12885-019-5625-1</mixed-citation></ref><ref id="scirp.112845-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Tsukamoto, F., Miyoshi, Y., Egawa, C., Kasugai, T., Takami, S., Inazawa, J. and Noguchi, S. (2001) Clinicopathologic Analysis of Breast Carcinoma with Chromosomal Aneusomy Detected by Fluorescence in Situ Hybridization. Cancer, 93, 165-170.  
https://doi.org/10.1002/cncr.9024</mixed-citation></ref><ref id="scirp.112845-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Mitelman, F., Johansson, B. and Mertens, F. (2015) Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer.  
https://doi.org/10.1007/978-3-319-19983-2_1</mixed-citation></ref><ref id="scirp.112845-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">de Graaff, W.E., van Echten, J., van der Veen, A.Y., Sleijfer, D.T., Timmer, A., Koops, H.S. and de Jong, B. (1999) Loss of the Y-Chromosome in the Primary Metastasis of a Male Sex Cord Stromal Tumor: Pathogenetic Implications. Cancer Genetics and Cytogenetics, 112, 21-25. https://doi.org/10.1016/S0165-4608(98)00245-3</mixed-citation></ref><ref id="scirp.112845-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Sauter, G., Moch, H., Wagner, U., Novotna, H., Gasser, T.C., Mattarelli, G., et al. (1995) Y Chromosome Loss Detected by FISH in Bladder Cancer. Cancer Genetics and Cytogenetics, 82, 163-169. https://doi.org/10.1016/0165-4608(95)00030-S</mixed-citation></ref><ref id="scirp.112845-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Kido, T. and Lau, Y.F. (2015) Roles of the Y Chromosome Genes in Human Cancers. Asian Journal of Andrology, 17, 373-380.</mixed-citation></ref><ref id="scirp.112845-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Quintana-Murci, L. and Fellous, M. (2001) The Human Y Chromosome: The Biological Role of a “Functional Wasteland”. Journal of Biomedicine and Biotechnology, 1, 18-24. https://doi.org/10.1155/S1110724301000080</mixed-citation></ref><ref id="scirp.112845-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Kirsch, S., Munch, C., Jiang, Z., Cheng, Z., Chen, L., Batz, C., Eichler, E.E. and Schempp, W. (2008) Evolutionary Dynamics of Segmental Duplications from Human Y-Chromosomal Euchromatin/Heterochromatin Transition Regions. Genome Research, 18, 1030-1042. https://doi.org/10.1101/gr.076711.108</mixed-citation></ref><ref id="scirp.112845-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Murphy, K.M., Cohen, J.S., Goodrich, A., Long, P.P. and Griffin, C.A. (2007) Constitutional Duplication of a Region of Chromosome Yp Encoding AMELY, PRKY, and TBL1Y: Implications for Sex Chromosome Analysis and Bone Marrow Engraftment Analysis. Journal of Molecular Diagnostics, 9, 408-413.  
https://doi.org/10.2353/jmoldx.2007.060198</mixed-citation></ref><ref id="scirp.112845-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Noveski, P., Madjunkova, S., Stefanovska, E.S., Geshkovska, N.M., Kuzmanovska, M., Dimovski, A. and Plaseska-Karanfilska, D. (2016) Loss of Y Chromosome in Peripheral Blood of Colorectal and Prostate Cancer Patients. PLoS ONE, 11, e0146264. 
https://doi.org/10.1371/journal.pone.0146264</mixed-citation></ref><ref id="scirp.112845-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Bianchi, N.O., Richard, S.M., Peltomaki, P. and Bianchi, M.S. (2002) Mosaic AZF Deletions and Susceptibility to Testicular Tumors. Mutation Research, 503, 51-62.  
https://doi.org/10.1016/S0027-5107(02)00072-6</mixed-citation></ref><ref id="scirp.112845-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Weiss, J.R., Moysich, K.B. and Swede, H. (2005) Epidemiology of Male Breast Cancer. Cancer Epidemiology, Biomarkers &amp; Prevention, 14, 20-26.  
https://doi.org/10.1158/1055-9965.EPI-05-0457</mixed-citation></ref><ref id="scirp.112845-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Lu, F., Qian, Y., Li, H., Dong, M., Lin, Y., Du, J., Lin, Y., Chen, J., Shen, C., Jin, G., Dai, J., Hu, Z. and Shen, H. (2012) Genetic Variants on Chromosome 6p21.1 and 6p22.3 Are Associated with Type 2 Diabetes Risk: A Case-Control Study in Han Chinese. Journal of Human Genetics, 57, 320-325.  
https://doi.org/10.1038/jhg.2012.25</mixed-citation></ref><ref id="scirp.112845-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Atlas of Genetics and Cytogenetics in Oncology and Haematology.  
http://atlasgeneticsoncology.org</mixed-citation></ref><ref id="scirp.112845-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Sangle, N.A., Mao, R., Shetty, S., Schiffman, J.D., Dechet, C., Layfield, L., Agarwal, N. and Liu, T. (2013) Novel Molecular Aberrations and Pathologic Findings in a Tubulocystic Variant of Renal Cell Carcinoma. Indian Journal of Pathology and Microbiology, 56, 428-433. https://doi.org/10.4103/0377-4929.125361</mixed-citation></ref><ref id="scirp.112845-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Lo, K.C., Bailey, D., Burkhardt, T., Gardina, P., Turpaz, Y. and Cowell, J.K. (2008) Comprehensive Analysis of Loss of Heterozygosity Events in Glioblastoma Using the 100K SNP Mapping Arrays and Comparison with Copy Number Abnormalities Defined by BAC Array Comparative Genomic Hybridization. Genes Chromosomes and Cancer, 47, 221-237. https://doi.org/10.1002/gcc.20524</mixed-citation></ref><ref id="scirp.112845-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Gondek, L.P., Tiu, R., OKeefe, C.L., Sekeres, M.A., Theil, K.S. and Maciejewski, J.P. (2008) Chromosomal Lesions and Uniparental Disomy Detected by SNP Arrays in MDS,MDS/MPD, and MDS-Derived AML. Blood, 111, 1534-1542.  
https://doi.org/10.1182/blood-2007-05-092304</mixed-citation></ref><ref id="scirp.112845-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Celestino-Soper, P.B., Skinner, C., Schroer, R., Eng, P., Shenai, J., Nowaczyk, M.M., Terespolsky, D., Cushing, D., Patel, G.S., Immken, L., Willis, A., Wiszniewska, J., Matalon, R., Rosenfeld, J.A., Stevenson, R.E., Kang, S.H., Cheung, S.W., Beaudet, A.L. and Stankiewicz, P. (2012) Deletions in Chromosome 6p22.3-p24.3, Including ATXN1, Are Associated with Developmental Delay and Autism Spectrum Disorders. Molecular Cytogenetics, 5, 17. https://doi.org/10.1186/1755-8166-5-17</mixed-citation></ref><ref id="scirp.112845-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Bremer, A., Schoumans, J., Nordenskjold, M., Anderlid, B.M. and Giacobini, M. (2009) An Interstitial Deletion of 7.1Mb in Chromosome Band 6p22.3 Associated with Developmental Delay and Dysmorphic Features Including Heart Defects, Short Neck, and Eye Abnormalities. European Journal of Medical Genetics, 52, 358-362. 
https://doi.org/10.1016/j.ejmg.2009.06.002</mixed-citation></ref><ref id="scirp.112845-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Yamazawa, K., Ogata, T. and Ferguson-Smith, A.C. (2010) Uniparental Disomy and Human Disease: An Overview. American Journal of Medical Genetics Part C: Seminars in Medical Genetics, 154, 329-334. https://doi.org/10.1002/ajmg.c.30270</mixed-citation></ref><ref id="scirp.112845-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Richardson, A.L., Wang, Z.C., De Nicolo, A., Lu, X., Brown, M., Miron, A., Liao, X., Iglehart, J.D., Livingston, D.M. and Ganesan, S. (2006) X Chromosomal Abnormalities in Basal-Like Human Breast Cancer. Cancer Cell, 9, 121-132.  
https://doi.org/10.1016/j.ccr.2006.01.013</mixed-citation></ref><ref id="scirp.112845-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Murthy, S.K., DiFrancesco, L.M., Ogilvie, R.T. and Demetrick, D.J. (2002) Loss of Heterozygosity Associated with Uniparental Disomy in Breast Carcinoma. Modern Pathology, 15, 1241-1250. https://doi.org/10.1097/01.MP.0000032535.62750.D1</mixed-citation></ref><ref id="scirp.112845-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Tuna, M., Knuutila, S. and Mills, G.B. (2009) Uniparental Disomy in Cancer. Trends in Molecular Medicine, 15, 120-128. https://doi.org/10.1016/j.molmed.2009.01.005</mixed-citation></ref><ref id="scirp.112845-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Kumar-Sinha, C., Tomlins, S.A. and Chinnaiyan, A.M. (2008) Recurrent Gene Fusions in Prostate Cancer. Nature Reviews Cancer, 8, 497-511.  
https://doi.org/10.1038/nrc2402</mixed-citation></ref><ref id="scirp.112845-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Hu, Q., Kwon, Y.S., Nunez, E., Cardamone, M.D., Hutt, K.R., Ohgi, K.A., Garcia-Bassets, I., Rose, D.W., Glass, C.K., Rosenfeld, M.G. and Fu, X.D. (2008) Enhancing Nuclear Receptor-Induced Transcription Requires Nuclear Motor and LSD1-Dependent Gene Net Working in Interchromatin Granules. Proceedings of the National Academy of Sciences, 105, 19199-19204.  
https://doi.org/10.1073/pnas.0810634105</mixed-citation></ref><ref id="scirp.112845-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Jeandidier, E., Gervais, C., Radford-Weiss, I., Zink, E., Gangneux, C., Eischen, A., Galoisy, A.C., Helias, C., Dano, L., Cammarata, O., Jung, G., Harzallah, I., Guérin, E., Martzolff, L., Drénou, B., Lioure, B., Tancrédi, C., Rimelen, V. and Mauvieux, L. (2012) A Cytogenetic Study of 397 Consecutive Acute Myeloid Leukemia Cases Identified Three with a t(7;21) Associated with 5q Abnormalities and Exhibiting Similar Clinical and Biological Features, Suggesting a New, Rare Acute Myeloid Leukemia Entity. Cancer Genetics, 205, 365-372.  
https://doi.org/10.1016/j.cancergen.2012.04.007</mixed-citation></ref><ref id="scirp.112845-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Birger, Y. and Izraeli, S. (2012) DYRK1A in Down Syndrome: An Oncogene or Tumor Suppressor? Journal of Clinical Investigation, 122, 807-810.  
https://doi.org/10.1172/JCI62372</mixed-citation></ref><ref id="scirp.112845-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Zheng, J (2013) Oncogenic Chromosomal Translocations and Human Cancer (Review). Oncology Reports, 30, 2011-2019. https://doi.org/10.3892/or.2013.2677</mixed-citation></ref><ref id="scirp.112845-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Jeffy, B.D., Schultz, E.U., Selmin, O., Gudas, J.M., Bowden, G.T. and Romagnolo, D. (1999) Inhibition of BRCA-1 Expression by benzo[a]pyrene and Its Diol Epoxide. Molecular Carcinogenesis, 26, 100-118.  
https://doi.org/10.1002/(SICI)1098-2744(199910)26:2&lt;100::AID-MC5&gt;3.0.CO;2-1</mixed-citation></ref><ref id="scirp.112845-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Giordano, S.H., Cohen, D.S., Buzdar, A.U., Perkins, G. and Hortobagyi, G.N. (2004) Breast Carcinoma in Men: A Population-Based Study. Cancer, 101, 51-57.  
https://doi.org/10.1002/cncr.20312</mixed-citation></ref><ref id="scirp.112845-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Gorodetska, I., Kozeretska, I. and Dubrovska, A. (2019) BRCA Genes: The Role in Genome Stability, Cancer Stemness and Therapy Resistance. Journal of Cancer, 10, 2109-2127. https://doi.org/10.7150/jca.30410</mixed-citation></ref><ref id="scirp.112845-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Kawai, H., Li, H., Chun, P., Avraham, S. and Avraham, H.K. (2002) Direct Interaction between BRCA1 and the Estrogen Receptor Regulates Vascular Endothelial Growth Factor (VEGF) Transcription and Secretion in Breast Cancer Cells. Oncogene, 21, 7730-7739. https://doi.org/10.1038/sj.onc.1205971</mixed-citation></ref><ref id="scirp.112845-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, H., Somasundaram, K., Peng, Y., Tian, H., Zhang, H., Bi, D., Weber, B.L. and El-Deiry, W.S. (1998) BRCA1 Physically Associates with p53 and Stimulates Its Transcriptional Activity. Oncogene, 16, 1713-1721.  
https://doi.org/10.1038/sj.onc.1201932</mixed-citation></ref><ref id="scirp.112845-ref39"><label>39</label><mixed-citation publication-type="other" xlink:type="simple">Schmidt, M.K., Tommiska, J., Broeks, A., van Leeuwen, F.E., Van’t Veer, L.J., Pharoah, P.D., Easton, D.F., Shah, M., Humphreys, M., D&amp;ouml;rk, T., Reincke, S.A., Fagerholm, R., Blomqvist, C. and Nevanlinna, H. (2009) Combined Effects of Single Nucleotide Polymorphisms TP53 R72P and MDM2 SNP309, and p53 Expression on Survival of Breast Cancer Patients. Breast Cancer Research, 11, R89.  
https://doi.org/10.1186/bcr2460</mixed-citation></ref><ref id="scirp.112845-ref40"><label>40</label><mixed-citation publication-type="other" xlink:type="simple">Cox, D.G., Deer, D., Guo, Q., Tworoger, S.S., Hankinson, S.E., Hunter, D.J. and De Vivo, I. (2007) The p53 Arg72Pro and MDM2 -309 Polymorphisms and Risk of Breast Cancer in the Nurses’ Health Studies. Cancer Causes &amp; Control, 18, 621-625.  
https://doi.org/10.1007/s10552-007-9004-x</mixed-citation></ref><ref id="scirp.112845-ref41"><label>41</label><mixed-citation publication-type="other" xlink:type="simple">Hemminki, K. and Shields, P.G. (2002) Skilled Use of DNA Polymorphisms as a Tool for Polygenic Cancers. Carcinogenesis, 23, 379-380.  
https://doi.org/10.1093/carcin/23.3.379</mixed-citation></ref><ref id="scirp.112845-ref42"><label>42</label><mixed-citation publication-type="other" xlink:type="simple">Adeli, K. and Ogbonna, G. (1990) Rapid Purification of Human DNA from Whole Blood for Potential Application in Clinical Chemistry Laboratories. Clinical Chemistry, 36, 261-264. https://doi.org/10.1093/clinchem/36.2.261</mixed-citation></ref><ref id="scirp.112845-ref43"><label>43</label><mixed-citation publication-type="other" xlink:type="simple">ISCN (2016) An International System for Human Cytogenenomic Nomenclature. Cytogenetic and Genome Research, 149, 1-140.</mixed-citation></ref><ref id="scirp.112845-ref44"><label>44</label><mixed-citation publication-type="other" xlink:type="simple">Moorhead, P.S., Nowell, P.C., Mellman, W.J., Battips, D.M. and Hungerford, D.A. (1960) Chromosome Preparations of Leukocytes from Human Peripheral Blood. Experimental Cell Research, 20, 613-616.  
https://doi.org/10.1016/0014-4827(60)90138-5</mixed-citation></ref><ref id="scirp.112845-ref45"><label>45</label><mixed-citation publication-type="other" xlink:type="simple">Rodrigues, P., Furriol, J., Tormo, E., Ballester, S., Lluch, A. and Eroles, P. (2012) The Single-Nucleotide Polymorphisms +936 C/T VEGF and -710 C/T VEGFR1 Are Associated with Breast Cancer Protection in a Spanish Population. Breast Cancer Research and Treatment, 133, 769-778. https://doi.org/10.1007/s10549-012-1980-1</mixed-citation></ref><ref id="scirp.112845-ref46"><label>46</label><mixed-citation publication-type="other" xlink:type="simple">Wang, X., Yang, J., Ho, B., Yang, Y., Huang, Z., Zhang, Z. and Zhang, G. (2009) Interaction of Helicobacter pylori with Genetic Variants in the MDM2 Promoter, Is Associated with Gastric Cancer Susceptibility in Chinese Patients. Helicobacter, 14, 114-119. https://doi.org/10.1111/j.1523-5378.2009.00712.x</mixed-citation></ref><ref id="scirp.112845-ref47"><label>47</label><mixed-citation publication-type="other" xlink:type="simple">Apaydin, I., Konac, E., Onen, H.I., Akbaba, M., Tekin, E. and Ekmekci, A. (2008) Single Nucleotide Polymorphisms in the Hypoxia-Inducible Factor-1α (HIF-1α) Gene in Human Sporadic Breast Cancer. Archives of Medical Research, 39, 338-345.  
https://doi.org/10.1016/j.arcmed.2007.11.012</mixed-citation></ref><ref id="scirp.112845-ref48"><label>48</label><mixed-citation publication-type="other" xlink:type="simple">Tavakkoly-Bazzaz, J., Amoli, M.M., Pravica, V., Chandrasecaran, R., Boulton, A.J., Larijani, B. and Hutchinson, I.V. (2010) VEGF Gene Polymorphism Association with Diabetic Neuropathy. Molecular Biology Reports, 37, 3625-3630.  
https://doi.org/10.1007/s11033-010-0013-6</mixed-citation></ref><ref id="scirp.112845-ref49"><label>49</label><mixed-citation publication-type="other" xlink:type="simple">Churchill, A.J., Carter, J.G., Ramsden, C., Turner, S.J., Yeung, A., Brenchley, P.E. and Ray, D.W. (2008) VEGF Polymorphisms Are Associated with Severity of Diabetic Retinopathy. Investigative Ophthalmology &amp; Visual Science, 49, 3611-3616.  
https://doi.org/10.1167/iovs.07-1383</mixed-citation></ref><ref id="scirp.112845-ref50"><label>50</label><mixed-citation publication-type="other" xlink:type="simple">Lachheb, J., Chelbi, H., Ben Dhifallah, I., Ammar, J., Hamzaoui, K. and Hamzaoui, A. (2008) Association of Vascular Endothelial Growth Factor Polymorphisms with Asthma in Tunisian Children. Gene Regulation and Systems Biology, 2, 89-96.  
https://doi.org/10.1177/117762500800200003</mixed-citation></ref><ref id="scirp.112845-ref51"><label>51</label><mixed-citation publication-type="other" xlink:type="simple">Wang, T., Hu, K., Ren, J., Zhu, Q., Wu, G. and Peng, G. (2010) Polymorphism of Vegf-2578C/A Associated with the Risk and Aggressiveness of Nasopharyngeal Carcinoma in a Chinese Population. Molecular Biology Reports, 37, 59-65.  
https://doi.org/10.1007/s11033-009-9526-2</mixed-citation></ref><ref id="scirp.112845-ref52"><label>52</label><mixed-citation publication-type="other" xlink:type="simple">Buraczynska, M., Ksiazek, P., Baranowicz-Gaszczyk, I. and Jozwiak, L. (2007) Association of the VEGF Gene Polymorphism with Diabetic Retinopathy in Type 2 Diabetes Patients. Nephrology Dialysis Transplantation, 22, 827-832.  
https://doi.org/10.1093/ndt/gfl641</mixed-citation></ref><ref id="scirp.112845-ref53"><label>53</label><mixed-citation publication-type="other" xlink:type="simple">Pilger, D.A., Lopez, P.L., Segal, F. and Leistner-Segal, S. (2007) Analysis of R213R and 13494 g&gt;a Polymorphisms of the p53 Gene in Individuals with Esophagitis, Intestinal Metaplasia of the Cardia and Barrett’s Esophagus Compared with a Control Group. Genomic Medicine, 1, 57-63. https://doi.org/10.1007/s11568-007-9007-4</mixed-citation></ref><ref id="scirp.112845-ref54"><label>54</label><mixed-citation publication-type="other" xlink:type="simple">Costa, S., Pinto, D., Pereira, D., Rodrigues, H., Cameselle-Teijeiro, J., Medeiros, R. and Schmitt, F. (2008) Importance of TP53 Codon 72 and Intron 3 Duplication 16 bp Polymorphisms in Prediction of Susceptibility on Breast Cancer. BMC Cancer, 8, 32. https://doi.org/10.1186/1471-2407-8-32</mixed-citation></ref><ref id="scirp.112845-ref55"><label>55</label><mixed-citation publication-type="other" xlink:type="simple">Kazemi, M., Salehi, Z. and Chakosari, R.J. (2009) TP53 Codon 72 Polymorphism and Breast Cancer in Northern Iran. Oncology Research, 18, 25-30.  
https://doi.org/10.3727/096504009789745629</mixed-citation></ref><ref id="scirp.112845-ref56"><label>56</label><mixed-citation publication-type="other" xlink:type="simple">Pinto, G.R., Yoshioka, F.K., Silva, R.L., Clara, C.A., Santos, M.J., Almeida, J.R., Burbano, R.R., Rey, J.A. and Casartelli, C. (2008) Prognostic Value of TP53 Pro47Ser and Arg72Pro Single Nucleotide Polymorphisms and the Susceptibility to Gliomas in Individuals from Southeast Brazil. Genetics and Molecular Research, 7, 207-216. 
https://doi.org/10.4238/vol7-1gmr415</mixed-citation></ref><ref id="scirp.112845-ref57"><label>57</label><mixed-citation publication-type="other" xlink:type="simple">Anagnostopoulos, T., Pertesi, M., Konstantopoulou, I., Armaou, S., Kamakari, S., Nasioulas, G., Athanasiou, A., Dobrovic, A., Young, M.A., Goldgar, D., Fountzilas, G. and Yannoukakos, D. (2008) G1738R Is a BRCA1 Founder Mutation in Greek Breast/Ovarian Cancer Patients: Evaluation of Its Pathogenicity and Inferences on Its Genealogical History. Breast Cancer Research and Treatment, 110, 377-385.  
https://doi.org/10.1007/s10549-007-9729-y</mixed-citation></ref><ref id="scirp.112845-ref58"><label>58</label><mixed-citation publication-type="other" xlink:type="simple">Gajalakshmi, P., Natarajan, T.G., Rani, D.S. and Thangaraj, K. (2007) A Novel BRCA1 Mutation in an Indian Family with Hereditary Breast/Ovarian Cancer. Breast Cancer Research and Treatment, 101, 3-6. https://doi.org/10.1007/s10549-006-9267-z</mixed-citation></ref><ref id="scirp.112845-ref59"><label>59</label><mixed-citation publication-type="other" xlink:type="simple">Willems, P., Magri, V., Cretnik, M., Fasano, M., Jakubowska, A., Levanat, S., Lubinski, J., Marras, E., Musani, V., Thierens, H., Vandersickel, V., Perletti, G. and Vral, A. (2009) Characterization of the c.190T&gt;C Missense Mutation in BRCA1 Codon 64 (Cys64Arg). International Journal of Oncology, 34, 1005-1015.  
https://doi.org/10.3892/ijo_00000226</mixed-citation></ref><ref id="scirp.112845-ref60"><label>60</label><mixed-citation publication-type="other" xlink:type="simple">Shim, H.J., Yun, J.Y., Hwang, J.E., Bae, W.K., Cho, S.H., Lee, J.H., Kim, H.J. and Chung, I.J. (2010) BRCA1 and XRCC1 Polymorphisms Associated with Survival in Advanced Gastric Cancer Treated with Taxane and Cisplatin. Cancer Science, 101, 1247-1254. https://doi.org/10.1111/j.1349-7006.2010.01514.x</mixed-citation></ref><ref id="scirp.112845-ref61"><label>61</label><mixed-citation publication-type="other" xlink:type="simple">O’Keefe, C., McDevitt, M.A. and Maciejewski, J.P. (2010) Copy Neutral Loss of Heterozygosity: A Novel Chromosomal Lesion in Myeloid Malignancies. Blood, 115, 2731-2739. https://doi.org/10.1182/blood-2009-10-201848</mixed-citation></ref><ref id="scirp.112845-ref62"><label>62</label><mixed-citation publication-type="other" xlink:type="simple">Guo, Y. and Jamison, D.C. (2005) The Distribution of SNPs in Human Gene Regulatory Regions. BMC Genomics, 6, 140. https://doi.org/10.1186/1471-2164-6-140</mixed-citation></ref><ref id="scirp.112845-ref63"><label>63</label><mixed-citation publication-type="other" xlink:type="simple">Deb, S., Johansson, I., Byrne, D., Nilsson, C., Investigators, K., Constable, L., Fj&amp;auml;llskog, M.L., Dobrovic, A., Hedenfalk, I. and Fox, S.B. (2014) Nuclear HIF1A Expression Is Strongly Prognostic in Sporadic But Not Familial Male Breast Cancer. Modern Pathology, 27, 1223-1230. https://doi.org/10.1038/modpathol.2013.231</mixed-citation></ref><ref id="scirp.112845-ref64"><label>64</label><mixed-citation publication-type="other" xlink:type="simple">Liede, A., Karlan, B.Y. and Narod, S.A. (2004) Cancer Risks for Male Carriers of Germline Mutations in BRCA1 or BRCA2: A Review of the Literature. Journal of Clinical Oncology, 22, 735-742. https://doi.org/10.1200/JCO.2004.05.055</mixed-citation></ref><ref id="scirp.112845-ref65"><label>65</label><mixed-citation publication-type="other" xlink:type="simple">Ripperger, T., Gadzicki, D., Meindl, A. and Schlegelberger, B. (2009) Breast Cancer Susceptibility: Current Knowledge and Implications for Genetic Counselling. European Journal of Human Genetics, 17, 722-731.  
https://doi.org/10.1038/ejhg.2008.212</mixed-citation></ref><ref id="scirp.112845-ref66"><label>66</label><mixed-citation publication-type="other" xlink:type="simple">Chen, S. and Parmigiani, G. (2007) Meta-Analysis of BRCA1 and BRCA2 Penetrance. Journal of Clinical Oncology, 25, 1329-1333.  
https://doi.org/10.1200/JCO.2006.09.1066</mixed-citation></ref><ref id="scirp.112845-ref67"><label>67</label><mixed-citation publication-type="other" xlink:type="simple">Lyden, D., Hattori, K., Dias, S., Costa, C., Blaikie, P., Butros, L., Chadburn, A., Heissig, B., Marks, W., Witte, L., Wu, Y., Hicklin, D., Zhu, Z., Hackett, N.R., Crystal, R.G., Moore, M.A., Hajjar, K.A., Manova, K., Benezra, R. and Rafii, S. (2001) Impaired Recruitment of Bone-Marrow-Derived Endothelial and Hematopoietic Precursor Cells Blocks Tumor Angiogenesis and Growth. Nature Medicine, 7, 1194-1201. 
https://doi.org/10.1038/nm1101-1194</mixed-citation></ref><ref id="scirp.112845-ref68"><label>68</label><mixed-citation publication-type="other" xlink:type="simple">Saponaro, C., Malfettone, A., Ranieri, G., Danza, K., Simone, G., Paradiso, A. and Mangia, A. (2013) VEGF, HIF-1α Expression and MVD as an Angiogenic Network in Familial Breast Cancer. PLoS ONE, 8, e53070.  
https://doi.org/10.1371/journal.pone.0053070</mixed-citation></ref><ref id="scirp.112845-ref69"><label>69</label><mixed-citation publication-type="other" xlink:type="simple">Roy, H., Bhardwaj, S. and Yla-Herttuala, S. (2006) Biology of Vascular Endothelial Growth Factors. FEBS Letters, 580, 2879-2887.  
https://doi.org/10.1016/j.febslet.2006.03.087</mixed-citation></ref><ref id="scirp.112845-ref70"><label>70</label><mixed-citation publication-type="other" xlink:type="simple">Kimbro, K.S. and Simons, J.W. (2006) Hypoxia-Inducible Factor-1 in Human Breast and Prostate Cancer. Endocrine-Related Cancer, 13, 739-749.  
https://doi.org/10.1677/erc.1.00728</mixed-citation></ref><ref id="scirp.112845-ref71"><label>71</label><mixed-citation publication-type="other" xlink:type="simple">Fels, D.R. and Koumenis, C. (2005) HIF-1α and P53: The ODD Couple? Trends in Biochemical Sciences, 30, 426-429. https://doi.org/10.1016/j.tibs.2005.06.009</mixed-citation></ref><ref id="scirp.112845-ref72"><label>72</label><mixed-citation publication-type="other" xlink:type="simple">Dumitrescu, R.G. and Cotarla, I. (2005) Understanding Breast Cancer Risk-Where Do We Stand in 2005? Journal of Cellular and Molecular Medicine, 9, 208-221.  
https://doi.org/10.1111/j.1582-4934.2005.tb00350.x</mixed-citation></ref><ref id="scirp.112845-ref73"><label>73</label><mixed-citation publication-type="other" xlink:type="simple">Peto, J. and Houlston, R.S. (2001) Genetics and the Common Cancers. European Journal of Cancer, 37, 88-96. https://doi.org/10.1016/S0959-8049(01)00255-6</mixed-citation></ref><ref id="scirp.112845-ref74"><label>74</label><mixed-citation publication-type="other" xlink:type="simple">Rosenblatt, K.A., Thomas, D.B., McTiernan, A., Austin, M.A., Stalsberg, H., Stemhagen, A., Thompson, W.D., Curnen, M.G., Satariano, W., Austin, D.F., et al. (1991) Breast Cancer in Men: Aspects of Familial Aggregation. Journal of the National Cancer Institute, 83, 849-854. https://doi.org/10.1093/jnci/83.12.849</mixed-citation></ref></ref-list></back></article>