<?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">JCT</journal-id><journal-title-group><journal-title>Journal of Cancer Therapy</journal-title></journal-title-group><issn pub-type="epub">2151-1934</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jct.2015.67061</article-id><article-id pub-id-type="publisher-id">JCT-57875</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>
 
 
  The Effect of Curcumin (as Meriva) on Absolute Lymphocyte Count (ALC), NK Cells and T Cell Populations in Patients with Stage 0/1 Chronic Lymphocytic Leukemia
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>erry</surname><given-names>Golombick</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>Terrence</surname><given-names>H. Diamond</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>Arumugam</surname><given-names>Manoharan</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>Rajeev</surname><given-names>Ramakrishna</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Southern Sydney Haematology, University of Wollongong, Wollongong, Australia</addr-line></aff><aff id="aff1"><addr-line>Department of Endocrinology, St George Hospital, Sydney, Australia</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>terry.golombick@sesiahs.health.nsw.gov.au(EG)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>07</day><month>07</month><year>2015</year></pub-date><volume>06</volume><issue>07</issue><fpage>566</fpage><lpage>571</lpage><history><date date-type="received"><day>10</day>	<month>June</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>10</month>	<year>July</year>	</date><date date-type="accepted"><day>13</day>	<month>July</month>	<year>2015</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>
 
 
  Purpose: To determine the effect of curcumin (as Meriva) on absolute lymphocyte count (ALC), T cell populations and NK cells in patients with Rai stage 0/1 chronic lymphocytic leukemia (CLL) over a period of six months. Experimental Design: Twenty-one patients with significant lymphocytosis (&gt;20
   
  &#215;
   
  10<sup>9</sup> lymphocytes/L) and stage 0/1 CLL were recruited into the study and received oral curcumin 2 grams/day. Blood samples were collected at baseline and at 2 monthly intervals for six months for full blood count, leukocyte surface antigens, liver function, serum biochemistry, immunoglobulins, CRP and ESR. A positive biologic response was defined as a reduction in the ALC of more than 20% from pre-treatment levels. Results: Four patients (20%) demonstrated more than 20% decrease in ALC, three of whom had lower ALC at the end of the study as compared to baseline. The decrease in ALC was accompanied by an increase in CD4, CD8 and NK cells. No demonstrable response was seen in seventeen patients (80%) who exhibited stable, fluctuating or increasing ALC during the study. Conclusion: A subgroup of stage 0/1 CLL patients may be responsive to curcumin therapy. The beneficial response appears to be immunomodulated.
 
</p></abstract><kwd-group><kwd>Stage 0/1 Chronic Lymphocytic Leukemia</kwd><kwd> Curcumin</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Chronic lymphocytic leukemia (CLL) is the most common type of leukemia in the Western world [<xref ref-type="bibr" rid="scirp.57875-ref1">1</xref>] . It involves mature-appearing defective neoplastic lymphocytes (almost always B cells) with an abnormally long life span. The peripheral blood, bone marrow, spleen, and lymph nodes undergo leukemic infiltration. Nonspecific symptoms include fatigue and malaise and are usually attributable to the anemia. Clinical signs include lymphadenopathy, splenomegaly and hepatomegaly. Diagnosis is confirmed by examination of peripheral smear and bone marrow aspirate. Patients with CLL have been shown to have elevated T cell (CD3, CD4 and CD8) and NK cell populations [<xref ref-type="bibr" rid="scirp.57875-ref2">2</xref>] . A higher number of T and NK cells have been associated with delayed disease progression and time to treatment [<xref ref-type="bibr" rid="scirp.57875-ref3">3</xref>] .</p><p>Unlike most malignant disorders in which early diagnosis increases the probability of a patient cure, treatment of unselected early-stage CLL patients with chemotherapy is associated with increased toxicity and no increase in survival [<xref ref-type="bibr" rid="scirp.57875-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.57875-ref5">5</xref>] . There is no published intervention that alters the course of disease for patients with early stage CLL i.e. Stage 0 or 1 disease (Rai staging system) [<xref ref-type="bibr" rid="scirp.57875-ref6">6</xref>] . These patients are usually monitored and commence therapeutic intervention if there is disease progression. This approach may often lead to patient’s anxiety. These patients represent an excellent cohort to evaluate the efficacy of nutraceutical agents (with a favourable toxicity) for disease prevention or delay in disease progression (PD).</p><p>Nutraceutical agents such as epigallocatechin gallate (EGCG) derived from green tea, and curcumin, derived from turmeric, have been proposed as health-promoting substances that may reduce cancer risk. Phase 1 and 2 studies using oral green tea extract (EGCG) [<xref ref-type="bibr" rid="scirp.57875-ref7">7</xref>] -[<xref ref-type="bibr" rid="scirp.57875-ref9">9</xref>] have shown that patients with low grade CLL with/out lymphadenopathy demonstrate durable declines in ALC, suggesting an anti-cancer responsiveness.</p><p>Curcumin has been shown to be a potent cytotoxic agent for primary CLL B cells by inhibiting specific prosurvival pathways such as STAT3, AKT and NF-kB [<xref ref-type="bibr" rid="scirp.57875-ref10">10</xref>] . Moreover, curcumin also suppresses the expression of the anti-apoptotic proteins Mcl-1 and X-linked inhibitor of apoptosis protein (XIAP), and up-regulates the pro-apoptotic protein BIM. A combination of green tea extract and curcumin selectively upregulates STAT3 protein and its phosphorylation status when administered in co-culture of CLL B cells with stromal cells, while curcumin alone is able to overcome the stromal-induced protection when administered with EGCG in a sequential fashion [<xref ref-type="bibr" rid="scirp.57875-ref11">11</xref>] . These data suggest a potential therapeutic role for curcumin in the treatment of stage 0/1 CLL.</p><p>We administered curcumin as Meriva, a standardized mixture of natural curcuminoids and lecithin in a 1:2 ratio [<xref ref-type="bibr" rid="scirp.57875-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.57875-ref13">13</xref>] , to 21 individuals with stage 0/1 CLL to determine 1) its effect on ALC, and 2) whether any observed effect could be mediated by the numbers of CD4, CD8 and NK cells. Our previous data has demonstrated the safety and efficacy of this compound in MGUS/SMM patients [<xref ref-type="bibr" rid="scirp.57875-ref14">14</xref>] -[<xref ref-type="bibr" rid="scirp.57875-ref17">17</xref>] . Meriva was chosen for this study based on its increased absorption and bioavailability.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>Twenty-one patients with significant lymphocytosis (&gt;20 &#215; 10<sup>9</sup> lymphocytes/L) and Rai stage 0 (early CLL and lymphocytosis) or stage 1 (CLL and lymphadenopathy) were recruited. Blood was collected at 6 and 3 months prior to commencement of therapy, at 2 monthly intervals for a period of six months during therapy and at 3 months after completion of therapy. Patients were administered oral curcumin (as Meriva) 2 grams/daily in a divided dose. Blood samples were collected for full blood count, leukocyte surface antigens, liver function, serum biochemistry, immunoglobulins, CRP and ESR at each visit. A positive biologic response was defined as more than 20% reduction in the ALC from the pre-treatment (baseline) levels.</p><p>The protocol was reviewed and approved by the South Eastern Sydney and Illawarra ethics committee. All patients provided written informed consent before study enrolment in accordance with the Declaration of Helsinki.</p></sec><sec id="s3"><title>3. Results</title><p>There were 14 men and 7 women with mean age of 68 (&#177;12.8) years and mean baseline ALC of 30.1 &#215; 10<sup>9</sup> cells/L (normal 1.0 - 4.0 &#215; 10<sup>9</sup>/L). <xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="table" rid="table2">Table 2</xref> show the mean baseline clinical and immunological data. Twenty-one patients completed 2 months of the study, 3 withdrew at month 2 and a further 2 at month 4. Most patients in this study had elevated baseline populations of CD4 (mean 2.2 &#215; 10<sup>9</sup>/L, normal 0.7 - 2.1 &#215; 10<sup>9</sup>/L), CD8 (mean 2 &#215; 10<sup>9</sup>/L, normal 0.2 - 0.9 &#215; 10<sup>9</sup>/L) and NK (mean 1.1 &#215; 10<sup>9</sup>/L, normal 0.05 - 0.6 &#215; 10<sup>9</sup>/L) cells and low IgM values (mean 0.3 g/L, normal 0.48 - 3.04 g/L).</p><p>There were four patients (20%) who demonstrated a positive biologic response i.e. &gt;20% reduction in ALC during the course of the study (<xref ref-type="table" rid="table3">Table 3</xref>). Their pre-study, during study and post-study ALC values are shown in <xref ref-type="table" rid="table3">Table 3</xref>. Three of the four had a lower ALC at the end of the 6 month study period. All four patients showed a relapse and an increase in ALC at three months post-study drug withdrawal. The decrease in ALC was accompanied by an increase in the CD4 count in all 4 patients (100%) after 2 months of curcumin therapy, and an increase in CD8 and NK cells in 2 (50%) patients after 2 months of curcumin therapy. The elevated CD4, CD8 and NK cell counts returned to baseline values at 6 months in all patients. The mean CD4, CD8 and NK cell populations at baseline and during the study are shown in <xref ref-type="table" rid="table4">Table 4</xref>.</p><p>Seventeen patients (80%) failed to show a positive response to curcumin therapy. They showed stable, fluctuating or increases in ALC during the course of the study (<xref ref-type="table" rid="table5">Table 5</xref>). The pre-study, during study and post-study ALC values of these patients are shown in <xref ref-type="table" rid="table5">Table 5</xref>. Among the non-responders, 6 (35%) showed an increase in CD4 count after 2 months of curcumin therapy, 4 (23%) showed an increase in CD8 count and 4 (23%) showed an increase in NK cell count after 2 months of curcumin therapy.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Mean baseline clinical and haematological data in all patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Age</th><th align="center" valign="middle" >WCC (4 - 11 &#215; 10<sup>9</sup>/L)</th><th align="center" valign="middle" >ALC (1 - 4 &#215; 10<sup>9</sup>/L)</th><th align="center" valign="middle" >Hb (130 - 180 g/L)</th><th align="center" valign="middle" >Pltlts (150 - 450 &#215; 10<sup>9</sup>/L)</th><th align="center" valign="middle" >LDH (120 - 250 U/L)</th><th align="center" valign="middle" >ALT (5 - 40 U/L)</th><th align="center" valign="middle" >Hct (0.39 - 0.54)</th></tr></thead><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >68 &#177; 12.8</td><td align="center" valign="middle" >35.0 &#177; 9.9</td><td align="center" valign="middle" >30.1 &#177; 10.1</td><td align="center" valign="middle" >142.3 &#177; 12.7</td><td align="center" valign="middle" >185.9 &#177; 49.7</td><td align="center" valign="middle" >196.7 &#177; 34.2</td><td align="center" valign="middle" >27.1 &#177; 14.9</td><td align="center" valign="middle" >0.43 &#177; 0.03</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Mean baseline immunological data in all patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >IgG (6.2 - 14.4 g/L)</th><th align="center" valign="middle" >IgA (0.6 - 3.96 g/L)</th><th align="center" valign="middle" >IgM (0.48 - 3 g/L)</th><th align="center" valign="middle" >CD3 (0.7 - 2.1 &#215; 10<sup>9</sup>/L)</th><th align="center" valign="middle" >%CD3</th><th align="center" valign="middle" >CD4 (0.4 - 1.4 &#215; 10<sup>9</sup>/L)</th><th align="center" valign="middle" >%CD4</th><th align="center" valign="middle" >CD8 (0.2 - 0.9 &#215; 10<sup>9</sup>/L)</th><th align="center" valign="middle" >%CD8</th><th align="center" valign="middle" >CD 4/8 (1 - 3)</th><th align="center" valign="middle" >NK (0.05 - 0.6 &#215; 10<sup>9</sup>/L)</th><th align="center" valign="middle" >% NK</th><th align="center" valign="middle" >CD19 (0.05 - 0.5 &#215; 10<sup>9</sup>/L)</th><th align="center" valign="middle" >%CD19</th></tr></thead><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >8.8 &#177; 2.8</td><td align="center" valign="middle" >1.3 &#177; 0.9</td><td align="center" valign="middle" >0.3 &#177; 0.2</td><td align="center" valign="middle" >4.7 &#177; 2.3</td><td align="center" valign="middle" >17 &#177; 9.3</td><td align="center" valign="middle" >2.3 &#177; 1.2</td><td align="center" valign="middle" >8.2 &#177; 4.5</td><td align="center" valign="middle" >2 &#177; 1.4</td><td align="center" valign="middle" >7 &#177; 5.2</td><td align="center" valign="middle" >1.5 &#177; 0.7</td><td align="center" valign="middle" >1.1 &#177; 0.7</td><td align="center" valign="middle" >3.9 &#177; 2.6</td><td align="center" valign="middle" >24.5 &#177; 10.1</td><td align="center" valign="middle" >79.7 &#177; 9.9</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> ALC counts of responding patients at 6 months and 3 months pre-study, during study and 3 months post-study</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Patient No.</th><th align="center" valign="middle" >−6 (n = 4)</th><th align="center" valign="middle" >−3 (n = 4)</th><th align="center" valign="middle" >0 (n = 4)</th><th align="center" valign="middle" >2 (n = 4)</th><th align="center" valign="middle" >4 (n = 3)</th><th align="center" valign="middle" >6 (n = 3)</th><th align="center" valign="middle" >+3 (n = 3)</th></tr></thead><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >24.9</td><td align="center" valign="middle" >22.8</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >18.2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >20.2</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >34.4</td><td align="center" valign="middle" >43.9</td><td align="center" valign="middle" >42.3</td><td align="center" valign="middle" >34.3</td><td align="center" valign="middle" >41.3</td><td align="center" valign="middle" >44.3</td></tr><tr><td align="center" valign="middle" >9</td><td align="center" valign="middle" >48.5</td><td align="center" valign="middle" >43.9</td><td align="center" valign="middle" >49.9</td><td align="center" valign="middle" >30.2</td><td align="center" valign="middle" >31.1</td><td align="center" valign="middle" >36.7</td><td align="center" valign="middle" >43.2</td></tr><tr><td align="center" valign="middle" >11</td><td align="center" valign="middle" >18.3</td><td align="center" valign="middle" >29.5</td><td align="center" valign="middle" >38.3</td><td align="center" valign="middle" >38.7</td><td align="center" valign="middle" >24.7</td><td align="center" valign="middle" >40.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >30.9 &#177; 12.9</td><td align="center" valign="middle" >32.7 &#177; 8.9</td><td align="center" valign="middle" >39.5 &#177; 10.2</td><td align="center" valign="middle" >32.3 &#177; 10.7</td><td align="center" valign="middle" >30 &#177; 4.9</td><td align="center" valign="middle" >39.5 &#177; 2.5</td><td align="center" valign="middle" >35.9 &#177; 13.6</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> CD4, CD8 and NK cell counts (Mean &#177; SD) in responding and non-responding patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Baseline</th><th align="center" valign="middle" >2 months</th><th align="center" valign="middle" >p-value</th><th align="center" valign="middle" >4 months</th><th align="center" valign="middle" >p-value</th><th align="center" valign="middle" >6 months</th><th align="center" valign="middle" >p-value</th></tr></thead><tr><td align="center" valign="middle" >CD4 resp.</td><td align="center" valign="middle" >1.38 &#177; 0.5 (n = 4)</td><td align="center" valign="middle" >2.93 &#177; 1.6 (n = 4)</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >1.11 &#177; 0.4 (n = 3)</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >1.2 &#177; 0.3 (n = 3)</td><td align="center" valign="middle" >0.1</td></tr><tr><td align="center" valign="middle" >CD4 non-resp.</td><td align="center" valign="middle" >2.43 &#177; 0.9 (n = 17)</td><td align="center" valign="middle" >2.37 &#177; 0.9 (n = 17)</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >2.07 &#177; 0.8 (n = 15)</td><td align="center" valign="middle" >0.2</td><td align="center" valign="middle" >2.17 &#177; 0.8 (n = 13)</td><td align="center" valign="middle" >0.2</td></tr><tr><td align="center" valign="middle" >CD8 resp.</td><td align="center" valign="middle" >2 &#177; 1.5 (n = 4)</td><td align="center" valign="middle" >2.68 &#177; 1.9 (n = 4)</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >1.8 &#177; 1.2 (n = 3)</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >1.4 &#177; 0.3 (n = 3)</td><td align="center" valign="middle" >0.3</td></tr><tr><td align="center" valign="middle" >CD8 non-resp.</td><td align="center" valign="middle" >2.03 &#177; 1.4 (n = 17)</td><td align="center" valign="middle" >1.61 &#177; 0.9 (n = 17)</td><td align="center" valign="middle" >0.1</td><td align="center" valign="middle" >1.63 &#177; 0.9 (n = 15)</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >1.5 &#177; 0.7 (n = 13)</td><td align="center" valign="middle" >0.3</td></tr><tr><td align="center" valign="middle" >NK resp.</td><td align="center" valign="middle" >1.11 &#177; 0.3 (n = 4)</td><td align="center" valign="middle" >1.46 &#177; 0.7 (n = 4)</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.69 &#177; 0.5 (n = 3)</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.83 &#177; 0.3 (n = 3)</td><td align="center" valign="middle" >0.3</td></tr><tr><td align="center" valign="middle" >NK non-resp.</td><td align="center" valign="middle" >1.06 &#177; 0.8 (n = 17)</td><td align="center" valign="middle" >1.09 &#177; 0.7 (n = 17)</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >1 &#177; 0.6 (n = 15)</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >1.2 &#177; 0.9 (n = 13)</td><td align="center" valign="middle" >0.3</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> ALC counts of non-responding patients at 6 months and 3 months pre-study, during study and 3 months post- study</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Patient No.</th><th align="center" valign="middle" >−6 (n = 17)</th><th align="center" valign="middle" >−3 (n = 17)</th><th align="center" valign="middle" >0 (n = 17)</th><th align="center" valign="middle" >2 (n = 17)</th><th align="center" valign="middle" >4 (n = 15)</th><th align="center" valign="middle" >6 (n = 13)</th><th align="center" valign="middle" >+3 (n = 15)</th></tr></thead><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >34.3</td><td align="center" valign="middle" >31.1</td><td align="center" valign="middle" >30.7</td><td align="center" valign="middle" >40.2</td><td align="center" valign="middle" >30.6</td><td align="center" valign="middle" >51.5</td><td align="center" valign="middle" >30</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >50.9</td><td align="center" valign="middle" >47.4</td><td align="center" valign="middle" >44.1</td><td align="center" valign="middle" >45.8</td><td align="center" valign="middle" >49.3</td><td align="center" valign="middle" >55.7</td><td align="center" valign="middle" >63.6</td></tr><tr><td align="center" valign="middle" >5</td><td align="center" valign="middle" >23.3</td><td align="center" valign="middle" >25.4</td><td align="center" valign="middle" >25.9</td><td align="center" valign="middle" >25.3</td><td align="center" valign="middle" >23.4</td><td align="center" valign="middle" >27.0</td><td align="center" valign="middle" >32.3</td></tr><tr><td align="center" valign="middle" >6</td><td align="center" valign="middle" >32.9</td><td align="center" valign="middle" >37.2</td><td align="center" valign="middle" >23.9</td><td align="center" valign="middle" >24.1</td><td align="center" valign="middle" >28.4</td><td align="center" valign="middle" >23.3</td><td align="center" valign="middle" >33.4</td></tr><tr><td align="center" valign="middle" >7</td><td align="center" valign="middle" >13.8</td><td align="center" valign="middle" >18.3</td><td align="center" valign="middle" >14.6</td><td align="center" valign="middle" >17.9</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >12.8</td></tr><tr><td align="center" valign="middle" >8</td><td align="center" valign="middle" >30.2</td><td align="center" valign="middle" >37.9</td><td align="center" valign="middle" >33.9</td><td align="center" valign="middle" >30.4</td><td align="center" valign="middle" >36.2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >36.5</td></tr><tr><td align="center" valign="middle" >10</td><td align="center" valign="middle" >17.8</td><td align="center" valign="middle" >17.2</td><td align="center" valign="middle" >21.7</td><td align="center" valign="middle" >18.6</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >12</td><td align="center" valign="middle" >43.9</td><td align="center" valign="middle" >43.9</td><td align="center" valign="middle" >38.3</td><td align="center" valign="middle" >40</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" >13</td><td align="center" valign="middle" >20.7</td><td align="center" valign="middle" >23.2</td><td align="center" valign="middle" >20.2</td><td align="center" valign="middle" >23.2</td><td align="center" valign="middle" >19.8</td><td align="center" valign="middle" >27.4</td><td align="center" valign="middle" >25.8</td></tr><tr><td align="center" valign="middle" >14</td><td align="center" valign="middle" >21.5</td><td align="center" valign="middle" >25.7</td><td align="center" valign="middle" >18.9</td><td align="center" valign="middle" >29.9</td><td align="center" valign="middle" >26.7</td><td align="center" valign="middle" >24.5</td><td align="center" valign="middle" >27.9</td></tr><tr><td align="center" valign="middle" >15</td><td align="center" valign="middle" >21.8</td><td align="center" valign="middle" >17.4</td><td align="center" valign="middle" >23.8</td><td align="center" valign="middle" >23.7</td><td align="center" valign="middle" >28.2</td><td align="center" valign="middle" >29.7</td><td align="center" valign="middle" >37.9</td></tr><tr><td align="center" valign="middle" >16</td><td align="center" valign="middle" >16.1</td><td align="center" valign="middle" >22.9</td><td align="center" valign="middle" >25.3</td><td align="center" valign="middle" >30.6</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >36.5</td></tr><tr><td align="center" valign="middle" >17</td><td align="center" valign="middle" >20.4</td><td align="center" valign="middle" >25.7</td><td align="center" valign="middle" >29.3</td><td align="center" valign="middle" >25.9</td><td align="center" valign="middle" >24.2</td><td align="center" valign="middle" >39.3</td><td align="center" valign="middle" >47.7</td></tr><tr><td align="center" valign="middle" >18</td><td align="center" valign="middle" >41.2</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >44.8</td><td align="center" valign="middle" >45.2</td><td align="center" valign="middle" >56.5</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >54.7</td></tr><tr><td align="center" valign="middle" >19</td><td align="center" valign="middle" >41.2</td><td align="center" valign="middle" >45.5</td><td align="center" valign="middle" >35.8</td><td align="center" valign="middle" >40.3</td><td align="center" valign="middle" >35.9</td><td align="center" valign="middle" >35.8</td><td align="center" valign="middle" >51.8</td></tr><tr><td align="center" valign="middle" >20</td><td align="center" valign="middle" >17.6</td><td align="center" valign="middle" >20.8</td><td align="center" valign="middle" >18.9</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >19.5</td><td align="center" valign="middle" >19.3</td><td align="center" valign="middle" >20.2</td></tr><tr><td align="center" valign="middle" >21</td><td align="center" valign="middle" >20.9</td><td align="center" valign="middle" >18.7</td><td align="center" valign="middle" >23.1</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >23.7</td><td align="center" valign="middle" >23.9</td><td align="center" valign="middle" >24.9</td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle" >27.6 &#177; 11.2</td><td align="center" valign="middle" >28.8 &#177; 10.2</td><td align="center" valign="middle" >27.8 &#177; 8.9</td><td align="center" valign="middle" >29.5 &#177; 9.4</td><td align="center" valign="middle" >30.4 &#177; 10.8</td><td align="center" valign="middle" >34.6 &#177; 12.4</td><td align="center" valign="middle" >35.7 &#177; 13.7</td></tr></tbody></table></table-wrap><p>Responding patients (i.e. &gt;20% decrease in ALC) show a greater increase in T cell and NK cell response (increase in CD4, CD8 and NK cells with R = 0.81, 0.8 and 0.7 respectively) as compared to the non-responders (R = 0.09, 0.05 and −0.2 respectively).</p></sec><sec id="s4"><title>4. Discussion</title><p>Our study results suggest that curcumin may be beneficial in a small subset of early CLL patients due to its anti-tumour activity. The decrease in ALC count seen in 4 (20%) of these patients corresponded with an increase in CD4 T cells, a similar finding to Varalakshami [<xref ref-type="bibr" rid="scirp.57875-ref18">18</xref>] in their mouse model. An increase in CD8 T cell and NK cells was also seen in 2 of the responders and 4 of the non-responders, perhaps due to curcumin therapy. Immunomulation of CD4 T cell, CD8 T cell and NK cell subsets has been found in numerous studies on curcumin therapy [<xref ref-type="bibr" rid="scirp.57875-ref18">18</xref>] -[<xref ref-type="bibr" rid="scirp.57875-ref21">21</xref>] .</p><p>There is a marked clinical heterogeneity in patients with CLL that is associated with a heterogeneous array of genetic and molecular defects [<xref ref-type="bibr" rid="scirp.57875-ref3">3</xref>] . The complexity of this malignancy is further increased by the interaction of leukaemia cells with the microenvironment. Leukaemia cells closely interact with accessory and immune cells that regulate their trafficking, survival and proliferation. Patients with leukemia have been shown to have elevated T and NK cell populations and the relative numbers of T and NK cells at diagnosis has been associated with clinical outcome. A study by Huergo-Zapigo [<xref ref-type="bibr" rid="scirp.57875-ref3">3</xref>] has shown that CLL patients with a relative CD8 count &gt; 0.03 showed significantly longer time to treatment than those with lower numbers of CD8 T cells, suggesting that CD8 may modify disease progression. This suggests that the non malignant immune system may play an important role in the pathogenesis and progression of this malignancy and that the expansion of T cells observed in patients with CLL may be due, in part, to the expansion of anti-tumor T cells [<xref ref-type="bibr" rid="scirp.57875-ref2">2</xref>] . A possible role for curcumin therapy may be further expansion of these anti-tumor T cells. Our results suggests that a decrease in the absolute lymphocyte count of responding patients may be due to an augmentation of the T cell response.</p><p>The expected pattern for the majority of patients with early CLL is a rising ALC and progressive lymphadenopathy. Fluctuations in ALC can be expected in a subset of patients with CLL. Our data supports these findings as shown by the ALC fluctuations seen in the non-responding patients (80%).</p><p>Limitations of this study include the small number of patients and the number of patients who dropped out of the study. Among the 5 patients that did not complete the 6 month study, 2 withdrew due to gastro-intestinal disturbance caused by the curcumin. No other toxicity was noted in the remaining patients.</p><p>Curcumin has a high hydrolytic instability at physiological pH and an inherently low intestinal absorption. It is therefore poorly bioavailable, with only conjugates being generally detectable in plasma even after dosages as high as 12 g/day. Curcumin is sparingly soluble in both water and lipophilic organic solvents, but has polar groups that make it a good candidate for phospholipid complexation. A novel curcumin formulation was developed under the brand name Meriva by combining a standardized mixture of natural curcuminoids and lecithin in 1:2 ratio, with 2 parts of microcrystalline cellulose being added to improve the physical state. The relative absorption of a standardized curcuminoid mixture and its corresponding lecithin formulation (Meriva) was investigated in a randomized, double-blind, cross-over human study and total curcuminoid absorption was about 29-fold higher for Meriva than for its corresponding unformulated curcuminoid-like mixture [<xref ref-type="bibr" rid="scirp.57875-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.57875-ref13">13</xref>] . Thus Meriva was chosen for this study solving the issue of megadoses even though curcumin had been found to be safe even at doses as high as 12 g/day. There is safety data with a number of patients treated with curcumin for as long as 10 years at a dose of 6 g/day (Golombick et al. Unpublished Data).</p><p>Although current prognostic indicators [ZAP-70, CD38, IGHV mutation status, fluorescence in situ hybridization (FISH)] are able to identify early stage CLL patients at high risk of rapid disease progression, these tests are not routinely performed in our laboratory and were not performed as part of their work-up.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In conclusion, the results of this 6-month study suggest that a small percentage of early CLL patients may derive benefit from curcumin therapy by decreasing their ALC, perhaps through stimulating an immune response by increasing CD4, CD8 and NK cells. CD8 cytotoxic T lymphocytes are involved in antigen-specific tumor destruction and CD4 T cells are essential for helping the CD8 T cell-dependent tumor eradication. A number of nutraceutical agents have been shown to have an immunostimulatory effect and combining their action with curcumin may be synergistic. The analysis of the number of different subsets of T cells should be taken with caution since the functionality of these subsets may be diverse. Follow-up activation studies are suggested. Our results suggest that a larger study is warranted.</p></sec><sec id="s6"><title>Cite this paper</title><p>TerryGolombick,Terrence H.Diamond,ArumugamManoharan,RajeevRamakrishna, (2015) The Effect of Curcumin (as Meriva) on Absolute Lymphocyte Count (ALC), NK Cells and T Cell Populations in Patients with Stage 0/1 Chronic Lymphocytic Leukemia. Journal of Cancer Therapy,06,566-571. doi: 10.4236/jct.2015.67061</p></sec><sec id="s7"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.57875-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Shanafelt, T., Byrd, J., Call, T., et al. (2006) Intitial Management of Newly Diagnosed, Early Stage, Chronic Lymphocytic Leukemia. An Update for the Internist. 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