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  <front>
    <article-meta>
      <title-group>
        <article-title>Role of Antioxidant Gene Polymorphisms in Risk and Prognosis of Chronic Myeloid Leukemia</article-title>
      </title-group>
      <abstract>
        <p id="_paragraph-1"><bold id="bold-1">Introduction: </bold>We aimed to investigate the possible role of antioxidant enzyme polymorphisms <italic id="italic-1">CAT </italic>-21A/T (rs7943316), <italic id="italic-2">CAT </italic>-262C/T (rs1001179), <italic id="italic-3">GPX1 </italic>-198C/T (rs1050450), <italic id="italic-4">MPO </italic>-463G/A (rs2333227), <italic id="italic-5">GSTM1 <italic id="italic-6"/></italic>(rs366631) &amp; <italic id="italic-7">GSTT1 </italic>(rs17856199) with susceptibility to chronic myeloid leukemia (CML) and their association with tyrosine kinase inhibitor (TKI, imatinib) response. <bold id="bold-2">Methods: </bold>Six single nucleotide polymorphisms (SNPs) in antioxidant enzyme genes were genotyped in a total of 325 samples, of which 125 were from CML patients and 200 from healthy controls. The SNPs were correlated with various confounding variables lke <italic id="italic-8">BCR-ABL1 </italic>levels and tyrosine kinase domain mutation status in CML patients. <bold id="bold-3">Results: </bold>Genotyping results revealed statistically significant associations with <italic id="italic-9">CAT </italic>-21A/T (p=0.037) and <italic id="italic-10">GPX1 </italic>-198C/T (p=&lt;0.0001) polymorphisms with risk of CML. No associations were observed between <italic id="italic-11">CAT </italic>-262C/T, <italic id="italic-12">MPO </italic>-463G/A, <italic id="italic-13">GSTM1 </italic>&amp; <italic id="italic-14">GSTT1 </italic>polymorphisms and CML. The <italic id="italic-15">CAT </italic>-21A/T polymorphism conferred 2.95 folds increased risk of CML under co-dominant model (p=0.024) and 2.51 folds risk under dominant models (p=0.05). In addition, the haplotypes of <italic id="italic-16">CAT <italic id="italic-17"/></italic>-21A/T and -262C/T polymorphisms, ATCC and ATCT conferred higher incidence of CML risk by 2.67 times (p=0.05) and 2.99 times (p=0.045). The <italic id="italic-18">GPX1 </italic>-198C/T polymorphism conferred significantly increased risk of CML under co-dominant model [CC vs CT (p=&lt;0.0001), CC vs TT (p=&lt;0.0001)] and dominant models [CC vs CT+TT (p=&lt;0.0001)]. The heterozygous <italic id="italic-19">GPX1 </italic>CT genotype frequency significantly elevated in poor molecular responders (p=0.005) and TKD mutation carriers (p=0.114) as compared to respective groups. <bold id="bold-4">Conclusions: </bold>Our results suggest that the reduced activity of antioxidant enzymes caused by the <italic id="italic-20">CAT </italic>-21A/T and <italic id="italic-21">GPX1</italic>-198C/T polymorphisms might contribute to increased risk of CML. In addition, the <italic id="italic-22">GPX1</italic>-198C/T polymorphism was associated with poor molecular response and acquired TKD mutations. Hence, the present study indicates that defective antioxidant defense system might have a strong influence on CML susceptibility and TKI (imatinib) response through oxidative stress.</p>
      </abstract>
    </article-meta>
  </front>
  <body id="body">
    <sec id="heading-d7a3ce3da505fb4d61b16a7e4d915878">
      <title>Introduction</title>
      <p id="heading-2e05299c5eb2e19339ff72fe5eab4585">Chronic myeloid leukemia (CML) is a hematopoietic stem cell disorder of myeloid precursors, characterized by the presence of Philadelphia (Ph) chromosome, which results from a reciprocal chromosomal translocation t (9;22), leading to the <italic id="italic-beebec2efc367d19350ad21e927fcad9">BCR-ABL1 </italic>fusion gene. The <italic id="italic-35984e74919b9ea19a87e01ca1d1c692">BCR-ABL1 </italic>gene can modulate DNA repair mechanisms, cell cycle checkpoints, <italic id="italic-6b7d8d225c2072093bb1910062861536">Bcl2 </italic>proteins and enhances reactive oxygen species (ROS) generation, which may contribute to genomic instability and resistance towards tyrosine kinase inhibitor (TKI) treatment [1-3]. The intrinsic regulation of ROS is one of the mechanisms associated with multidrug resistance and maintenance of cancer stemness [4-5]. Previous studies have demonstrated that oxidative DNA damage induced by higher levels of ROS has been associated with initiation and progression of solid tumors and hematological malignancies [6-9]. Antioxidant enzymes such as catalase (<italic id="italic-14e63bd8664e2fad6f195c98f36d46d9">CAT</italic>), manganese superoxide dismutase (<italic id="italic-426a858c367e5b516c5e96b391dbdaf8">MnSOD</italic>), glutathione peroxidase 1 (<italic id="italic-46872ee7715d9e28ce900ae3d248d710">GPX1</italic>), myeloperoxidase (<italic id="italic-c50b95e18802d1c6045d7c3e02b5d9d8">MPO</italic>) and glutathione-S-transferases (<italic id="italic-2cc8745f8846dc0757fbc9cd15b56d83">GSTs</italic>) balance ROS levels and defend cells against oxidative stress. Most of these antioxidant enzymes are highly polymorphic. Genetic variations of these antioxidant enzymes with altered enzymatic activity may contribute to the imbalance of ROS production and scavenging [10-11]. The activity of several antioxidant enzymes was noted to be reduced in CML patients [12]. Several studies demonstrated that polymorphisms in antioxidant enzymes (<italic id="italic-5c618c80c3f6f484dfe51724f3fc79c3">CAT,</italic><italic id="italic-6aceede4fcb58e4390d4e01ca21ba361"> MnSOD, GPX1, MPO &amp; GSTs</italic>) might be associated with susceptibility to various solid tumors [13-15] and hematological malignancies [16-20].</p>
      <p id="paragraph-2">Hence, the present study aimed to investigate the possible role of polymorphisms in antioxidant enzyme polymorphisms: Catalase <italic id="italic-a6f429687c4d1aff5ac53f8a027a0fb3">(CAT</italic>) -21A/T &amp; -262C/T, Glutathione peroxidase 1 (<italic id="italic-8e81375db669f70caf9f1369a3ce6d5a">GPX1</italic>) -198C/ T, Myeloperoxidase (<italic id="italic-678ef88b6515ce4bc8e5ab81842dc1fb">MPO</italic>) -463G/A, deletion of Glutathione S-Transferase M1 &amp; T1 (<italic id="italic-2833a0abcac1c4dbdc7aa760368247c9">GSTM1 &amp; GSTT1</italic>) with susceptibility to chronic myeloid leukemia and their association with TKI (imatinib) response.</p>
    </sec>
    <sec id="heading-5a2dab72c26d81e0c7cc5ac08a3893e8">
      <title>Materials and Methods</title>
      <p id="paragraph-1">The present study included 325 samples, out of which 125 are from CML patients and 200 were from age &amp; gender matched controls without a family history of any cancer. The inclusion criteria for patients included Ph+ve CML cases with confirmed diagnosis, on TKI treatment and TKI refractory cases regardless of age, gender or race. The study was approved by the institutional ethics committee and an informed consent was obtained from patients participating in the study. Blood samples (6mL in EDTA vaccutainer) were collected from both CML patients and controls. Genomic DNA was extracted from blood samples using non-enzymatic rapid salting-out method. The purity &amp; concentration of DNA samples were checked on Nanodrop1000 and further these DNA samples were subjected for analysis of SNPs in antioxidant enzyme genes.</p>
      <sec id="heading-354ca9df4a242c3bce36017bf0818858">
        <title>
          <italic id="italic-f86a6c451abba37057ef38d2eca4056c">Genotyping of antioxidant gene SNPs<italic id="italic-7e97939ad141630fe335a7a03a8c2f36"/></italic>
        </title>
        <p id="paragraph-bc905d0a821567a779c3545b8ab54c62">Genotyping of <italic id="italic-a94aeba5156550ce9ef013b33f3b0d04">CAT </italic>-21A/T (rs7943316), <italic id="italic-028a3b56fa24b40d136ddb020986af69">CAT </italic>-262C/T (rs1001179), <italic id="italic-0699cceeeb3c357eb00642a645a6b6cd">GPX1 </italic>(-198C/T rs1050450) and <italic id="italic-005313e8e09cd2599b05f2ef63e3f0be">MPO <italic id="italic-0bb703c32c168af89d22af0d9d7e3351"/></italic>(-463G/A rs2333227) was performed by PCR-RFLP (polymerase chain reaction - restriction fragment length polymorphism) method. The null/deletion polymorphism in <italic id="italic-d34039710d2d833b66f65c7425260b57">GSTM1 &amp; GSTT1 </italic>genes (rs366631 &amp; rs17856199) were performed by multiplex polymerase chain reaction followed by agarose gel electrophoresis. The primers used for amplification and restriction enzymes for RFLP analysis are listed in Table 1. </p>
        <table-wrap id="table-figure-198cfeeb93df453fe4c41f509f9c7206">
          <label>Table 1. Primer Sequences used for Analysis of Polymorphisms in Anti oxidant Enzyme Genes</label>
          <caption>
            <title></title>
            <p id="paragraph-30ad28cf3ebe1cab5bceac1d300007fa" />
          </caption>
          <table id="table-ccc279f3c4890b521dd4999d80091ee7">
            <tbody>
              <tr>
               <td>Gene</td>
               <td>SNP</td>
               <td>Primer sequence</td>
               <td>Product size</td>
               <td>Restriction enzyme</td>
            </tr>
            <tr>
               <td>CAT</td>
               <td>-21A/T</td>
               <td>5′- AATCAGAAGGCAGTCCTCCC-3′</td>
               <td>250bp</td>
               <td>HinfI</td>
            </tr>
            <tr>
               <td/>
               <td>(rs7943316)</td>
               <td>5′- TCGGGGAGCACAGAGTGTAC-3′</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>CAT</td>
               <td>-262C/T</td>
               <td>5′- AGAGCCTCGCCCCGCCGGACCG-3′</td>
               <td>185bp</td>
               <td>SmaI</td>
            </tr>
            <tr>
               <td/>
               <td>(rs1001179)</td>
               <td>5′- TAAGAGCTGAGAAAGCATAGCT-3′</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>GPX</td>
               <td>-198C/T</td>
               <td>5′- TCCAGACCATTGACATCGAG-3′</td>
               <td>222bp</td>
               <td>ApaI</td>
            </tr>
            <tr>
               <td/>
               <td>(rs1050450)</td>
               <td>5′- ACTGGGATCAACAGGACCAG-3′</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>MPO</td>
               <td>-463G/A</td>
               <td>5′- CGGTATAGGCACACAATGGTGAG-3′</td>
               <td>350bp</td>
               <td>SsiI</td>
            </tr>
            <tr>
               <td/>
               <td>(rs2333227)</td>
               <td>5′- CAATGGTTCAAGCGATTCTTC-3′</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>GSTM1</td>
               <td>Deletion</td>
               <td>5′- GAACTCCCTGAAAAGCTAAAGC-3′</td>
               <td>219bp</td>
               <td/>
            </tr>
            <tr>
               <td/>
               <td>(rs366631)</td>
               <td>5′- GTTGGGCTCAAATATACGGTGG-3′</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>GSTT1</td>
               <td>Deletion</td>
               <td>5′- TTCCTTACTGGTCCTCACATCTC-3′</td>
               <td>480bp</td>
               <td/>
            </tr>
            <tr>
               <td/>
               <td>(rs17856199)</td>
               <td>5′- TCACCGGATCACGGCCAGCA-3′</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Beta globin</td>
               <td/>
               <td>5′- ACACAACTGTGTTCACTAGC-3′</td>
               <td>299bp</td>
               <td/>
            </tr>
            <tr>
               <td/>
               <td/>
               <td>5′- CAACTTCATCCACGTTCACC-3′</td>
               <td/>
               <td/>
            </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="paragraph-c0322b7c75efa3271eb178d52a22f79d">The <italic id="italic-03dba975396634b0c853a3a1b6d0da7f">CAT </italic>(-21A/T &amp; -262C/T), <italic id="italic-b256f6f97c2648941861bbe5bb6baa1a">GPX1 </italic>(-198C/T) and <italic id="italic-69358446eb4e5024851e25a9c1ece234">MPO </italic>(-463G/A) polymorphism were determined by digesting the PCR amplified products with <italic id="italic-e62d7c70bb366eee4ecb968eec984d1e">HinfI, SmaI, ApaI and SsiI </italic>restriction enzymes (Table 1).</p>
      </sec>
      <sec id="heading-1a198158b65f04b4b03614447b0c5279">
        <title>
          <italic id="italic-18199225309f7cb2bd6ce30828b9e54f">Statistical analysis<italic id="italic-5cc32a708373700b7fa9c7fb848bcfaa"/></italic>
        </title>
        <p id="paragraph-1851a0754aba04f68406d279b30e3264">Chi square and multivariate analysis tests were calculated to test the significance of genotype association with the occurrence of CML and its prognosis. All the p values were two sided and the level of significance was taken as p &lt;0.05. Statistical analyses were performed using the GraphPad Prism software version 6.0 (San Diego, CA) and online VassarStats software. Haplotype and pairwise linkage disequilibrium was calculated using Haploview version 4.2 and cox regression analysis by SPSS version 22 software.</p>
      </sec>
    </sec>
    <sec id="heading-920d5bbd7a1e892fa7a4594d3e8e16ba">
      <title>Results</title>
      <sec id="heading-8dba091f4c34ba81dc64c536b2ef3e36">
        <title>
          <italic id="italic-b964d068b46258a78d0a45a2ee1ccfd8">Baseline characteristics (Table 2)<italic id="italic-a5e0514e99c305d06440460e50bd9f73"/></italic>
        </title>
        <p id="paragraph-b4f98257b60529d5431e330315e042f6">The demographic and clinical characteristics of CML patients are presented in Table 2.</p>
        <table-wrap id="table-figure-977ca4a3b9d6f6c78c7fff113932fd53">
          <label>Table 2. Patient Baseline Characteristics (n=125)</label>
          <caption>
            <title></title>
            <p id="paragraph-4e17f898e9072d16064294b1db4c7600" />
          </caption>
          <table id="table-abd9dbc100b182e7221453491be91f76">
            <tbody>
             <tr>
               <td/>
               <td>No</td>
               <td>%</td>
            </tr>
            <tr>
               <td>Gender</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Males</td>
               <td>77</td>
               <td>61.6</td>
            </tr>
            <tr>
               <td>Females</td>
               <td>48</td>
               <td>38.4</td>
            </tr>
            <tr>
               <td>Age at onset</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>≤ 42 years</td>
               <td>60</td>
               <td>48</td>
            </tr>
            <tr>
               <td>&gt; 42 years</td>
               <td>65</td>
               <td>52</td>
            </tr>
            <tr>
               <td>Phase</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Chronic</td>
               <td>102</td>
               <td>81.6</td>
            </tr>
            <tr>
               <td>Acute</td>
               <td>23</td>
               <td>18.4</td>
            </tr>
            <tr>
               <td>Sokal risk</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Low</td>
               <td>47</td>
               <td>37.6</td>
            </tr>
            <tr>
               <td>Intermediate</td>
               <td>33</td>
               <td>26.4</td>
            </tr>
            <tr>
               <td>High</td>
               <td>45</td>
               <td>36</td>
            </tr>
            <tr>
               <td>Hasford risk</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Low</td>
               <td>49</td>
               <td>39.2</td>
            </tr>
            <tr>
               <td>Intermediate</td>
               <td>49</td>
               <td>39.2</td>
            </tr>
            <tr>
               <td>High</td>
               <td>27</td>
               <td>21.6</td>
            </tr>
            <tr>
               <td>EUTOS risk</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Low</td>
               <td>90</td>
               <td>72</td>
            </tr>
            <tr>
               <td>High</td>
               <td>35</td>
               <td>28</td>
            </tr>
            <tr>
               <td>BCR-ABL1 levels</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>&lt; 10%</td>
               <td>40</td>
               <td>32</td>
            </tr>
            <tr>
               <td>&gt; 10%</td>
               <td>85</td>
               <td>68</td>
            </tr>
            <tr>
               <td>TKD mutations</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Presence</td>
               <td>30</td>
               <td>24</td>
            </tr>
            <tr>
               <td>Absence</td>
               <td>95</td>
               <td>76</td>
            </tr>
            <tr>
               <td>Present status</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Follow-up</td>
               <td>104</td>
               <td>83.2</td>
            </tr>
            <tr>
               <td>Deceased</td>
               <td>21</td>
               <td>16.8</td>
            </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="paragraph-4ed1a6b44c0a5860c16fd4dfdc8c8033">The median age at diagnosis of CML was 42 years (range 12 to 89 years) and a male preponderance was observed with a male to female ratio of 1.6:1. Of the 125 patients, 102 cases presented in chronic phase, 13 in accelerated phase and 10 in blast crisis phase of CML.</p>
        <p id="paragraph-3">Prognostic scores like Sokal, Hasford, and EUTOS (European Treatment Outcome Study) were calculated for all patients using baseline hematological variables [21]. With Sokal risk scoring, 37.6% of patients had low risk and 62.4% had intermediate + high risk. With respect to Hasford risk score, 39.2% had low risk and 60.80% had intermediate + high risk. When EUTOS risk scores were considered, 72.0% of patients were presented with low risk and 28% with high EUTOS risk. Majority of patients were on imatinib (IM) treatment, nearly 42.4% of patients received higher IM doses (600mg/ 800mg), 16.8% on IM standard dose (400mg), 16.0% on other drugs (2<sup id="superscript-1">nd</sup> generation TKIs or on clinical trials), 16.8% deceased and 8% are newly diagnosed.</p>
        <p id="paragraph-4">Median follow-up of these patients for a period of 40 median months revealed that 20.8% had optimal response to imatinib and 79.02% of patients lost respone which might be either due to loss of complete hematological response (CHR), complete cytogenetic response (CCyR), major molecular response (MMR) or presence of TKD mutations.</p>
        <p id="paragraph-3f2aad99106307907f956fffe2a6d3bd" />
      </sec>
      <sec id="heading-cd9e4e9b9cfca8c6913356c4bd4a1dbe">
        <title>
          <italic id="italic-f4aba6dadc7d251eb80bb50cfa25bca6">Correlation with CAT -21A/T polymorphism (Table 3)<italic id="italic-b2253861a22258edad1512f4b347f213"/></italic>
        </title>
        <p id="paragraph-248bc1d42d44f58121cdaa19540fd71f">The <italic id="italic-7edfac3abba5761ad958cde0b104ec2c">CAT </italic>-21A/T genotyping results revealed that heterozygous AT genotype frequency was observed to be significantly increased in CML patients compared to controls (p=0.037). This polymorphism was significantly assciated with increased risk of CML. With respect to molecular response, homozygous TT genotype and T allele frequencies were elevated in non-responders i.e., patients having higher <italic id="italic-f82969d56ee62e263db6a13b64aec2e2">BCR-ABL1 </italic>expression levels (44.70%, 0.705) compared to responders i.e., patients having lower levels (35.0%, 0.625) (p=0.259). Heterozygous AT genotype frequency was found to be slightly increased in TKD mutation carriers (p=0.571) and in deceased group of patients (p=0.548) when compared to respective groups. No differences were found with either of the prognostic risk scores: Sokal, Hasford or EUTOS.</p>
        <table-wrap id="table-figure-4d2076890f487fb71d57d520c48a8715">
          <label>Table 3. Genotyping of <italic id="italic-2e60f764d36f66cc98bbca3fdf0d0eb1">CAT </italic>-21A/T Polymorphism</label>
          <caption>
            <title></title>
            <p id="paragraph-862e4e179f157b5911c5bb030a49c0c6" />
          </caption>
          <table id="table-c06302477e5c303243036ec19ab48445">
            <tbody>
              <tr>
               <td/>
               <td>
                  <p>Genotype frequency</p>
               </td>
               <td/>
               <td/>
               <td/>
               <td>Allele frequency</td>
               <td/>
               <td>p value</td>
            </tr>
            <tr>
               <td/>
               <td>AA</td>
               <td>AT</td>
               <td>TT</td>
               <td>Total</td>
               <td>A</td>
               <td>T</td>
               <td/>
            </tr>
            <tr>
               <td>CML cases</td>
               <td>7 (5.6%)</td>
               <td>66 (52.8%)</td>
               <td>52 (41.6%)</td>
               <td>125</td>
               <td>0.32</td>
               <td>0.68</td>
               <td>0.037</td>
            </tr>
            <tr>
               <td>Controls</td>
               <td>26 (13.0%)</td>
               <td>83 (41.5%)</td>
               <td>91 (45.5%)</td>
               <td>200</td>
               <td>0.337</td>
               <td>0.662</td>
               <td/>
            </tr>
            <tr>
               <td>BCR-ABL1 levels</td>
               <td/>
               <td/>
               <td/>
               <td/>
               <td/>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>&lt; 10%</td>
               <td>4 (10.0%)</td>
               <td>22 (55.0%)</td>
               <td>14 (35.0%)</td>
               <td>40</td>
               <td>0.375</td>
               <td>0.625</td>
               <td>0.259</td>
            </tr>
            <tr>
               <td>&gt; 10%</td>
               <td>3 (3.52%)</td>
               <td>44 (51.76%)</td>
               <td>38 (44.70%)</td>
               <td>85</td>
               <td>0.294</td>
               <td>0.705</td>
               <td/>
            </tr>
            <tr>
               <td>TKD mutations</td>
               <td/>
               <td/>
               <td/>
               <td/>
               <td/>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Presence</td>
               <td>2 (6.66%)</td>
               <td>18 (60.0%)</td>
               <td>10 (33.33%)</td>
               <td>30</td>
               <td>0.366</td>
               <td>0.633</td>
               <td>0.571</td>
            </tr>
            <tr>
               <td>Absence</td>
               <td>5 (5.26%)</td>
               <td>48 (50.52%)</td>
               <td>42 (44.21%)</td>
               <td>95</td>
               <td>0.305</td>
               <td>0.694</td>
               <td/>
            </tr>
            <tr>
               <td>Present status</td>
               <td/>
               <td/>
               <td/>
               <td/>
               <td/>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Follow-up</td>
               <td>5 (4.80%)</td>
               <td>54 (51.92%)</td>
               <td>45 (43.26%)</td>
               <td>104</td>
               <td>0.307</td>
               <td>0.692</td>
               <td>0.548</td>
            </tr>
            <tr>
               <td>Deceased</td>
               <td>2 (9.52%)</td>
               <td>12 (57.14%)</td>
               <td>7 (33.33%)</td>
               <td>21</td>
               <td>0.38</td>
               <td>0.619</td>
               <td/>
            </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="paragraph-85d5c1d7281a8dc9d02834c3510fd16f">The <italic id="italic-8002c37ed540d2190921eb66eb3cb779">CAT </italic>-21A/T polymorphism showed statistically significant association with risk of CML and conferred 2.95 folds increased risk of CML under codominant (AA vs AT) model (OR=2.953, 95% CI: 1.206-7.228, p=0.024) and 2.51 folds risk under dominant (AA vs AT+TT) models (OR=2.518, 95% CI: 1.058-5.992, p=0.05), whereas overdominant model (AT vs AA+TT) was found to be protective against CML (OR=0.632, 95% CI: 0.404-0.994, p=0.060) (Table 4).</p>
        <table-wrap id="table-figure-ecf5df1ad8c9a6f9063673abc2e52392">
          <label>Table 4. Distribution of Odds Ratios between Cases vs Controls with CAT -21A/T Polymorphism</label>
          <caption>
            <title></title>
            <p id="paragraph-490f5dbd724be8ba3047066bdba4bd08" />
          </caption>
          <table id="table-6de980aae9d47bc54954afc227c8efa7">
            <tbody>
              <tr>
               <td/>
               <td>CML patients (n=125)</td>
               <td>Controls (n=200)</td>
               <td>OR (95% CI)</td>
               <td>p value</td>
            </tr>
            <tr>
               <td>Codominant</td>
               <td/>
               <td/>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>AA</td>
               <td>7 (5.6%)</td>
               <td>26 (13.0%)</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>AT</td>
               <td>66 (52.8%)</td>
               <td>83 (41.5%)</td>
               <td>2.953 (1.206-7.228)</td>
               <td>0.024</td>
            </tr>
            <tr>
               <td>TT</td>
               <td>52 (41.6%)</td>
               <td>91 (45.5%)</td>
               <td>2.122 (0.861-5.228)</td>
               <td>0.145</td>
            </tr>
            <tr>
               <td>Dominant</td>
               <td/>
               <td/>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>AA</td>
               <td>7 (5.44%)</td>
               <td>26 (13.0%)</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>AT+TT</td>
               <td>118 (94.55%)</td>
               <td>174 (7.0%)</td>
               <td>2.518 (1.058-5.992)</td>
               <td>0.050</td>
            </tr>
            <tr>
               <td>Recessive</td>
               <td/>
               <td/>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>AT+AA</td>
               <td>73 (58.50%)</td>
               <td>109 (54.5%)</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>TT</td>
               <td>52 (41.49%)</td>
               <td>91 (45.5%)</td>
               <td>0.853 (0.543-1.340)</td>
               <td>0.565</td>
            </tr>
            <tr>
               <td>Overdominant</td>
               <td/>
               <td/>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>AT</td>
               <td>66</td>
               <td>83</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>AA+TT</td>
               <td>59</td>
               <td>117</td>
               <td>0.632 (0.404-0.994)</td>
               <td>0.06</td>
            </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="heading-8e98b25f81c9fd4f2021ab70879e6e46">
        <title>
          <italic id="italic-6f0ff477e1565c265c7e451f16407e73">Correlation with CAT -262C/T polymorphism (Table 5)<italic id="italic-5ea0c147c77e8c64809a56524bc6461d"/></italic>
        </title>
        <p id="paragraph-24f3156132675a4b6a8661d631f6341e">There was no significant difference observed between cases and controls (p=0.711), molecular response (p=0.865) and presence or absence of TKD mutations (p=0.708) with CAT-262C/T polymorphism. This polymorphism was not assciated with risk of CML. Whereas the homozygous CC genotype and C allele frequencies were found to be elevated in the deceased group (71.42%, 0.857) compared to those patients on follow-up (50.0%; 0.711) (p=0.139). The prognostic risk scores were not associated with this polymorphism.</p>
        <table-wrap id="table-figure-2bd8d853b8e6d7795d5d62ea524d0a4d">
          <label>Table 5. Genotyping of <italic id="italic-0f24b949dec8f92ac0883177b6663951">CAT </italic>-262 C/T Polymorphism</label>
          <caption>
            <title></title>
            <p id="paragraph-5f891e3c265d5544a32a0fb34dfcb628" />
          </caption>
          <table id="table-1566f8fceb30a09baf241530debe7c91">
            <tbody>
             <tr>
               <td> </td>
               <td> </td>
               <td>Genotype frequency</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td>Allele frequency</td>
               <td>p value</td>
            </tr>
            <tr>
               <td> </td>
               <td>CC</td>
               <td>CT</td>
               <td>TT</td>
               <td>Total</td>
               <td>C</td>
               <td>T</td>
               <td> </td>
            </tr>
            <tr>
               <td>CML cases</td>
               <td>67 (53.6%)</td>
               <td>50 (40.0%)</td>
               <td>8 (6.4%)</td>
               <td>125</td>
               <td>0.736</td>
               <td>0.264</td>
               <td>0.711</td>
            </tr>
            <tr>
               <td>Controls</td>
               <td>116 (58.0%)</td>
               <td>71 (35.5%)</td>
               <td>13 (6.5%)</td>
               <td>200</td>
               <td>0.757</td>
               <td>0.242</td>
               <td> </td>
            </tr>
            <tr>
               <td>BCR-ABL1 levels</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>&lt; 10%</td>
               <td>21 (52.5%)</td>
               <td>17 (42.5%)</td>
               <td>2 (5.0%)</td>
               <td>40</td>
               <td>0.737</td>
               <td>0.262</td>
               <td>0.865</td>
            </tr>
            <tr>
               <td>&gt; 10%</td>
               <td>46 (54.11%)</td>
               <td>33 (38.82%)</td>
               <td>6 (7.05%)</td>
               <td>85</td>
               <td>0.735</td>
               <td>0.264</td>
               <td> </td>
            </tr>
            <tr>
               <td>TKD mutations</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>Presence</td>
               <td>16 (53.33%)</td>
               <td>13 (43.33%)</td>
               <td>1 (3.33%)</td>
               <td>30</td>
               <td>0.75</td>
               <td>0.25</td>
               <td>0.708</td>
            </tr>
            <tr>
               <td>Absence</td>
               <td>51 (53.68%)</td>
               <td>37 (38.94%)</td>
               <td>7 (7.36%)</td>
               <td>95</td>
               <td>0.731</td>
               <td>0.268</td>
               <td> </td>
            </tr>
            <tr>
               <td>Present status</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>Follow-up</td>
               <td>52 (50.0%)</td>
               <td>44 (42.30%)</td>
               <td>8 (7.69%)</td>
               <td>104</td>
               <td>0.711</td>
               <td>0.288</td>
               <td>0.139</td>
            </tr>
            <tr>
               <td>Deceased</td>
               <td>15 (71.42%)</td>
               <td>6 (28.57%)</td>
               <td>0</td>
               <td>21</td>
               <td>0.857</td>
               <td>0.142</td>
               <td> </td>
            </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="paragraph-cfefcf45458cca0afc63c4a218677cb9" />
      </sec>
      <sec id="heading-dcdb396e47f53c6c6f3028cf7f56724c">
        <title>
          <italic id="italic-a2f1e52014204ff61c42f880b8e948ce">Haplotype analysis of the CAT gene (Table 6)<italic id="italic-7a90efb8a1755b778e317ec5deb902f5"/></italic>
        </title>
        <p id="paragraph-5">The haplotype analysis of the <italic id="italic-a602a9e7f9e3da2436b4632c8fa5d195">CAT </italic>gene polymorphisms (-21A/T and -262C/T) were performed and represented in Table 6.</p>
        <table-wrap id="table-figure-6e2771c5374b7cd1503edb4c384fdb26">
          <label>Table 6. Distribution of <italic id="italic-a60030e271d3e0a79ebd97e4d19638ad">CAT </italic>(-21A/T and -262C/T) Halotypes and their Correlation with Risk of CML</label>
          <caption>
            <title></title>
            <p id="paragraph-02fd9f85497e4da546770fc076ebf707" />
          </caption>
          <table id="table-41a896d8f87423ea8365c67c063bfa69">
            <tbody>
             <tr>
               <td>Haplotypes</td>
               <td>CML patients (n=125)</td>
               <td>Controls (n=200)</td>
               <td>OR (95% CI)</td>
               <td>p value</td>
            </tr>
            <tr>
               <td>AACC</td>
               <td>7 (5.6%)</td>
               <td>25 (12.5%)</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>AACT</td>
               <td>0</td>
               <td>1 (0.5%)</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>AATT</td>
               <td>0</td>
               <td>0</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>ATCC</td>
               <td>39 (31.2%)</td>
               <td>52 (26.0%)</td>
               <td>2.678 (1.051-6.825)</td>
               <td>0.05</td>
            </tr>
            <tr>
               <td>ATCT</td>
               <td>26 (20.8%)</td>
               <td>31 (15.5%)</td>
               <td>2.995 (1.116-8.037)</td>
               <td>0.045</td>
            </tr>
            <tr>
               <td>ATTT</td>
               <td>1 (0.8%)</td>
               <td>0</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>TTCC</td>
               <td>21 (16.8%)</td>
               <td>40 (20.0%)</td>
               <td>1.875 (0.696-5.049)</td>
               <td>0.31</td>
            </tr>
            <tr>
               <td>TTCT</td>
               <td>24 (19.2%)</td>
               <td>38 (19.0%)</td>
               <td>2.556 (0.845-6.019)</td>
               <td>0.157</td>
            </tr>
            <tr>
               <td>TTTT</td>
               <td>7 (5.6%)</td>
               <td>13 (6.5%)</td>
               <td>1.923 (0.554-0.298)</td>
               <td>0.475</td>
            </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="paragraph-bdd82f7c4a7bc426899d8473f0ad0ea1">The haplotypes ATCC and ATCT conferred higher incidence of CML risk by 2.67 times (OR=2.678, 95% CI: 1.051-6.825, p=0.05) and 2.99 times (OR=2.995,95% CI: 1.116-8.037, p=0.045).</p>
        <p id="paragraph-1d5252bfbbcff1e4e78583aefeac12cd" />
        <p id="paragraph-7">
          <italic id="italic-863d5e07f11f3709a8af51acc0ef5b69">Correlation with GPX1 -198C/T polymorphism (Table 7) </italic>
        </p>
        <p id="paragraph-0842f5a1fdd1f0ff6b599a9435e30968">The heterozygous CT genotype and T allele frequencies were significantly increased in CML patients compared to controls (p=&lt;0.0001). With respect to molecular response and TKD mutation status, the heterozygous CT genotype frequency was observed to be significantly elevated in poor molecular responders group (patients having higher <italic id="italic-c401b0dea3bc0573b40cc1a0a26cf944">BCR-ABL1 </italic>levels) (p=0.005), TKD mutation carriers (p=0.114) and in patients of advanced phases (p=0.292) compared to respective groups. With respect to present status, the frequencies of TT genotype and T alleles were found to be slightly increased in deceased group of patients (23.80%; 0.619) compared to those on follow-up (17.30%; 0.552) (p=0.404). No significant variations were found with prognostic risk scores.</p>
        <table-wrap id="table-figure-386fc6db908d3a0d10e7d0f235341899">
          <label>Table 7. Genotyping of <italic id="italic-05ddfb8bac49d2edad6b238de9c8052d">GPX1 </italic>-198C/T Polymorphism</label>
          <caption>
            <title></title>
            <p id="paragraph-7e8e472cc96dae5638ce911608772d22" />
          </caption>
          <table id="table-dbd6ef9c61065cab521b6b5b329054dd">
            <tbody>
             <tr>
               <td> </td>
               <td> </td>
               <td>Genotype frequency</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td>Allele frequency</td>
               <td>p value</td>
            </tr>
            <tr>
               <td> </td>
               <td>CC</td>
               <td>CT</td>
               <td>TT</td>
               <td>Total</td>
               <td>C</td>
               <td>T</td>
               <td> </td>
            </tr>
            <tr>
               <td>CML cases</td>
               <td>7 (5.6%)</td>
               <td>95 (76.0%)</td>
               <td>23 (18.4%)</td>
               <td>125</td>
               <td>0.436</td>
               <td>0.564</td>
               <td>&lt;0.0001</td>
            </tr>
            <tr>
               <td>Controls</td>
               <td>62 (31.15%)</td>
               <td>115 (57.78%)</td>
               <td>22 (11.05%)</td>
               <td>199</td>
               <td>0.6</td>
               <td>0.399</td>
               <td> </td>
            </tr>
            <tr>
               <td>BCR-ABL1 levels</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>&lt; 10%</td>
               <td>6 (15.0%)</td>
               <td>26 (65.0%)</td>
               <td>8 (20.0%)</td>
               <td>40</td>
               <td>0.475</td>
               <td>0.525</td>
               <td>0.005</td>
            </tr>
            <tr>
               <td>&gt; 10%</td>
               <td>1 (1.17%)</td>
               <td>69 (81.17%)</td>
               <td>15 (17.64%)</td>
               <td>85</td>
               <td>0.417</td>
               <td>0.582</td>
               <td> </td>
            </tr>
            <tr>
               <td>TKD mutations</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>Presence</td>
               <td>1 (3.33%)</td>
               <td>27 (90.0%)</td>
               <td>2 (6.66%)</td>
               <td>30</td>
               <td>0.483</td>
               <td>0.516</td>
               <td>0.114</td>
            </tr>
            <tr>
               <td>Absence</td>
               <td>6 (6.31%)</td>
               <td>68 (71.57%)</td>
               <td>21 (22.10%)</td>
               <td>95</td>
               <td>0.421</td>
               <td>0.578</td>
               <td> </td>
            </tr>
            <tr>
               <td>Present status</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>Follow-up</td>
               <td>7 (6.73%)</td>
               <td>79 (75.96%)</td>
               <td>18 (17.30%)</td>
               <td>104</td>
               <td>0.447</td>
               <td>0.552</td>
               <td>0.404</td>
            </tr>
            <tr>
               <td>Deceased</td>
               <td>0</td>
               <td>16 (76.19%)</td>
               <td>5 (23.80%)</td>
               <td>21</td>
               <td>0.38</td>
               <td>0.619</td>
               <td> </td>
            </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="paragraph-5a1e6abe1b2d6cf66681480752aaa95a">In addition, the <italic id="italic-d0980961fd7010c63d31a09c62087487">GPX1 </italic>-198C/T polymorphism increased the risk of CML under codominant model [CC vs CT (OR=7.316, 95% CI: 3.198-17.736, p=&lt;0.0001), CC vs TT (OR=9.259, 95% CI: 3.489-24.571, p=&lt;0.0001)] and dominant models [CC vs CT+TT (OR=7.628, 95% CI: 3.362-17.310, p=&lt;0.0001)], whereas overdominant model (CT vs CC+TT) was found to be protective against CML (OR=0.432, 95% CI: 0.262-0.711, p=0.001) (Table 8).</p>
        <table-wrap id="table-figure-283acc7ff7fe4bd5c509543b51a9f8b2">
          <label>Table 8. Distribution of Odds Ratios between Cases vs Controls with <italic id="italic-f628427e4d3e29481c6134a8154ebf15">GPX1 </italic>-198C/T Polymorphism</label>
          <caption>
            <title></title>
            <p id="paragraph-61296d91367eeda1a4ece6e19be9510d" />
          </caption>
          <table id="table-9bc9dff65a813d5aa12a7279d12bc492">
            <tbody>
              <tr>
               <td/>
               <td>Cases</td>
               <td>Controls</td>
               <td>OR (95% CI)</td>
               <td>p value</td>
            </tr>
            <tr>
               <td>Codominant</td>
               <td/>
               <td/>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>CC</td>
               <td>7 (5.6%)</td>
               <td>62 (31.15%)</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>CT</td>
               <td>95 (76.0%)</td>
               <td>115 (57.78%)</td>
               <td>7.316 (3.198-17.736)</td>
               <td>&lt;0.0001</td>
            </tr>
            <tr>
               <td>TT</td>
               <td>23 (18.4%)</td>
               <td>22 (11.05%)</td>
               <td>9.259 (3.489-24.571)</td>
               <td>&lt; 0.0001</td>
            </tr>
            <tr>
               <td>Dominant</td>
               <td/>
               <td/>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>CC</td>
               <td>7 (55.10%)</td>
               <td>62 (58.0%)</td>
               <td>7.628 (3.362-17.310)</td>
               <td>&lt; 0.0001</td>
            </tr>
            <tr>
               <td>CT+TT</td>
               <td>118 (44.89%)</td>
               <td>137 (42.0%)</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Recessive</td>
               <td/>
               <td/>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>CT+CC</td>
               <td>102 (93.87%)</td>
               <td>177 (93.5%)</td>
               <td>1.814 (0.963-3.417)</td>
               <td>0.089</td>
            </tr>
            <tr>
               <td>TT</td>
               <td>23 (6.12%)</td>
               <td>22 (6.5%)</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>Overdominant</td>
               <td/>
               <td/>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>CT</td>
               <td>95</td>
               <td>115</td>
               <td/>
               <td/>
            </tr>
            <tr>
               <td>CC+TT</td>
               <td>30</td>
               <td>84</td>
               <td>0.043 (0.262-0.711)</td>
               <td>0.001</td>
            </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="paragraph-e796c3000edb6e753bc53ed3663d28e8" />
      </sec>
      <sec id="heading-d0c16e429fe823d5e82758a44e33423d">
        <title>
          <italic id="italic-1c688d7b2eeac59a9bab82a9c541a557">Correlation with MPO -463G/A polymorphism (Table 9) </italic>
        </title>
        <p id="paragraph-83b58166c86272a4771897c7ea557b8f">The <italic id="italic-ceed5152f5bf951bd4ade2c51c029185">MPO </italic>-463G/A polymorphism demonstrated no significant association between cases and controls (p=0.494), nor with either of the confounding variables like molecular response (p=0.465), TKD mutation status (p=0.392), present status (p=0.767) and prognostic risk scores.</p>
        <table-wrap id="table-figure-5a9608fcc8b26dadb14c61c950fc5b01">
          <label>Table 9. Genotyping of <italic id="italic-d2a40230fb5491a8c6c88d2a02978b6a">MPO </italic>-G463A Polymorphism</label>
          <caption>
            <title></title>
            <p id="paragraph-60351a25f7b6f20c6bb0a267c1a8d3c4" />
          </caption>
          <table id="table-4bcb093e73a6d09ef2c9cbeb5fcb9e31">
            <tbody>
             <tr>
               <td> </td>
               <td> </td>
               <td>Genotype frequency</td>
               <td> </td>
               <td> </td>
               <td>Allele frequency</td>
               <td> </td>
               <td>p value</td>
            </tr>
            <tr>
               <td> </td>
               <td>GG</td>
               <td>GA</td>
               <td>AA</td>
               <td>Total</td>
               <td>G</td>
               <td>A</td>
               <td> </td>
            </tr>
            <tr>
               <td>CML cases</td>
               <td>90 (72.0%)</td>
               <td>33 (26.4%)</td>
               <td>2 (1.6%)</td>
               <td>125</td>
               <td>0.852</td>
               <td>0.148</td>
               <td>0.494</td>
            </tr>
            <tr>
               <td>Controls</td>
               <td>135 (67.5%)</td>
               <td>58 (29.0%)</td>
               <td>7 (3.5%)</td>
               <td>200</td>
               <td>0.82</td>
               <td>0.18</td>
               <td> </td>
            </tr>
            <tr>
               <td>BCR-ABL1 levels</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>&lt; 10%</td>
               <td>26 (65.0%)</td>
               <td>13 (32.5%)</td>
               <td>1 (2.5%)</td>
               <td>40</td>
               <td>0.812</td>
               <td>0.187</td>
               <td>0.465</td>
            </tr>
            <tr>
               <td>&gt; 10%</td>
               <td>64 (75.29%)</td>
               <td>20 (23.52%)</td>
               <td>1 (1.17%)</td>
               <td>85</td>
               <td>0.87</td>
               <td>0.129</td>
               <td> </td>
            </tr>
            <tr>
               <td>TKD mutations</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>Presence</td>
               <td>19 (63.33%)</td>
               <td>10 (33.33%)</td>
               <td>1 (3.33%)</td>
               <td>30</td>
               <td>0.8</td>
               <td>0.2</td>
               <td>0.392</td>
            </tr>
            <tr>
               <td>Absence</td>
               <td>71 (74.73%)</td>
               <td>23 (24.21%)</td>
               <td>1 (1.05%)</td>
               <td>95</td>
               <td>0.868</td>
               <td>0.131</td>
               <td> </td>
            </tr>
            <tr>
               <td>Present status</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>Follow-up</td>
               <td>74 (71.15%)</td>
               <td>28 (26.92%)</td>
               <td>2 (1.92%)</td>
               <td>104</td>
               <td>0.846</td>
               <td>0.153</td>
               <td>0.767</td>
            </tr>
            <tr>
               <td>Deceased</td>
               <td>16 (76.15%)</td>
               <td>5 (23.80%)</td>
               <td>0</td>
               <td>21</td>
               <td>0.88</td>
               <td>0.119</td>
               <td> </td>
            </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="paragraph-6" />
      </sec>
      <sec id="heading-b19119d41df59e2bc2e0a4f59623095e">
        <title>
          <italic id="italic-f2f53e96d5c232529157fa146e88ffa2">Correlation with GSTM1 &amp; GSTT1 null/deletion polymorphism (Table 10)<italic id="italic-013dcaee8862347f45f50703734eb06f"/></italic>
        </title>
        <p id="paragraph-8">No significant association observed with <italic id="italic-aa76c13731d811b5d5e1ffdaa1622c52">GSTM1 </italic>null polymorphism between cases and controls, molecular response, presence or absence of TKD mutations. Whereas <italic id="italic-35aef470d27b48aa089c366a28562f8a">GSTM1 </italic>presence genotype (M1) was found to be elevated in deceased group (80.95%) compared to those on follow-up (66.34%) (p=0.289).</p>
        <table-wrap id="table-figure-edd1ac0813918a6c6139fd96e9f6bf4c">
          <label>Table 10. Genotyping of <italic id="italic-c27088c64407962b6ddbc43ca15aa50a">GSTM1 </italic>&amp; <italic id="italic-3434e52e37824fa6e9eb02f0025b1741">GSTT1 </italic>Deletion Polymorphism</label>
          <caption>
            <title></title>
            <p id="paragraph-31d24e27f9a4a557bb2d6c45f47ae394" />
          </caption>
          <table id="table-06f37df595d39458ea250767a41abc6c">
            <tbody>
              <tr>
               <td> </td>
               <td>Genotype frequencies</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td> </td>
               <td>T1</td>
               <td>T0</td>
               <td>p value</td>
               <td>M1</td>
               <td>M0</td>
               <td>p value</td>
               <td>Total</td>
            </tr>
            <tr>
               <td>CML cases</td>
               <td>97 (77.6%)</td>
               <td>28 (22.4%)</td>
               <td>0.193</td>
               <td>86 (68.8%)</td>
               <td>39 (31.2%)</td>
               <td>1</td>
               <td>125</td>
            </tr>
            <tr>
               <td>Controls</td>
               <td>168 (84.0%)</td>
               <td>32 (16.0%)</td>
               <td> </td>
               <td>136 (68.0%)</td>
               <td>64 (32.0%)</td>
               <td> </td>
               <td>200</td>
            </tr>
            <tr>
               <td>BCR-ABL1 levels</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>&lt; 10%</td>
               <td>35 (87.5%)</td>
               <td>5 (12.5%)</td>
               <td>0.111</td>
               <td>27 (67.5%)</td>
               <td>13 (32.5%)</td>
               <td>1</td>
               <td>40</td>
            </tr>
            <tr>
               <td>&gt; 10%</td>
               <td>62 (72.94%)</td>
               <td>23 (27.05%)</td>
               <td> </td>
               <td>59 (69.41%)</td>
               <td>26 (30.58%)</td>
               <td> </td>
               <td>85</td>
            </tr>
            <tr>
               <td>TKD mutations</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>Presence</td>
               <td>27 (90.0%)</td>
               <td>3 (10.0%)</td>
               <td>0.105</td>
               <td>22 (73.33%)</td>
               <td>8 (26.66%)</td>
               <td>0.698</td>
               <td>30</td>
            </tr>
            <tr>
               <td>Absence</td>
               <td>70 (73.68%)</td>
               <td>25 (26.31%)</td>
               <td> </td>
               <td>64 (67.36%)</td>
               <td>31 (32.63%)</td>
               <td> </td>
               <td>95</td>
            </tr>
            <tr>
               <td>Present status</td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
               <td> </td>
            </tr>
            <tr>
               <td>Follow-up</td>
               <td>80 (76.92%)</td>
               <td>24 (23.07%)</td>
               <td>0.92</td>
               <td>69 (66.34%)</td>
               <td>35 (33.65%)</td>
               <td>0.289</td>
               <td>104</td>
            </tr>
            <tr>
               <td>Deceased</td>
               <td>17 (80.95%)</td>
               <td>4 (19.04%)</td>
               <td> </td>
               <td>17 (80.95%)</td>
               <td>4 (19.04%)</td>
               <td> </td>
               <td>21</td>
            </tr>
            </tbody>
          </table>
        </table-wrap>
        <p id="paragraph-9">With <italic id="italic-f7eddc40fcb66170e8547155089f1879">GSTT1 </italic>null polymorphism, the <italic id="italic-47ecb416e35161915ab5b635005614a7">GSTT1 </italic>null genotype frequency slightly increased in cases compared to controls (22.4%; 16.0%) (p=0.193). When the results are stratified with confounding variables, the <italic id="italic-a5464110826495bbace7def4ee7fdbed">GSTT1 </italic>null genotype frequency was found to be higher in non-responders (27.05%; 12.5%) and in patients not carrying TKD mutations (26.31%; 10.0%) compared to respective groups. There was no difference was observed between follow-up and deceased group of patients with <italic id="italic-94355c93027ecf2a8c28a1ba71721db0">GSTT1 </italic>null genotype. </p>
        <p id="paragraph-f1c1bc8732187d7b29e4ba1bf6390df2">No significant differences were found between <italic id="italic-5a512b98b17bf86d84887a4efa25b580">GSTM1 <italic id="italic-97a1e4a5897dc3aa17e7e482bebbde86"/></italic>&amp; <italic id="italic-854d2931ff1a7840d27ae7ba098cbf6a">GSTT1 </italic>null/deletion polymorphisms and prognostic risk scores.</p>
        <p id="paragraph-bf4dfdef48577ddb156a12d801c4aa3d">Haplotype, Linkage Disequilibrium (LD) and Cox Regression analysis:</p>
        <p id="paragraph-48c26dbbaa095654cbbd383ae85ae40f">The haplotype and pairwise epistasis among six SNPs did not revealed any significant association, hence data not presented. The linkage disequilibrium (LD) analysis revealed that the two <italic id="italic-9572a5ffd5fdacfa98ad300d0406d2c5">CAT </italic>-21A/T (rs1001179) and <italic id="italic-c0ec5bf69d232674f48f33fb63bace1b">CAT <italic id="italic-5f3314dfa34dada476291a72d248ddc9"/></italic>-262 C/T (rs7943316) exhibited high LD (D’=0.9). Since the two SNPs are located on chromosome 1, the observed significant LD might be attributed to the physical proximity. None of the other SNP combinations showed significant LD with D’&lt;0.5 (Figure 1).</p>
        <fig id="figure-panel-1e267dbb8eb20c8e704e2d2bb181b454">
          <label>Figure 1. LD plot</label>
          <caption>
            <title></title>
            <p id="paragraph-af917d12b2da3f00a68018078dc5ce3d" />
          </caption>
          <graphic id="graphic-463d682c2a3824d650167f07c9ebdece" mimetype="image" mime-subtype="jpeg" xlink:href="http://waocp.com/journal/fig/cb/APJCB_V6_i1_N6_2020_Fig_1.jpg" />
        </fig>
        <p id="paragraph-e3c10bd09e656ac6904dc9d38623691e">Cox regression analysis of SNPs with <italic id="italic-6aea1cd93aacc3de4a2dea043f90637e">BCR-ABL1 </italic>levels revealed no significant association.</p>
        <p id="paragraph-92a98d74e60bcebfa8708a4df5b74910" />
      </sec>
    </sec>
    <sec id="heading-2a955d28cc7477a8e462e9f472c556b8">
      <title>Discussion</title>
      <p id="heading-e692086f8e2747efec93b28a964b4489">In the present study, we investigated the association of the genetic variations of the antioxidant enzymes: <italic id="italic-80da36674e7ce5770b26c183a519cd86">CAT </italic>(-21A/T, rs7943316 &amp; -262C/T, rs1001179), <italic id="italic-abfc475f4743e83d16f00a9548f67e4d">GPX1 </italic>(-198C/T, rs1050450), <italic id="italic-0ef09a0d042d4b0d94b50d0dc0f6dfe7">MPO </italic>(-463G/A, rs2333227) and <italic id="italic-c3733581d2b96363062e12b7982a22ea">GSTM1 </italic>(rs366631) &amp; <italic id="italic-8f481fb8376dd8ef2667541426d87d68">GSTT1 </italic>genes (rs17856199) with susceptibility to CML and their correlation with imatinib (TKI) response.</p>
      <p id="paragraph-d0d53b2e7b5b73ca63751f76d1acfa5a">Our results revealed statistically significant association of <italic id="italic-5db29c39312f70a1891cd61add86fa05">CAT </italic>-21A/T (p=0.037) and <italic id="italic-9b9cf1cc2c4049e3061654e6214cea8c">GPX1 </italic>-198C/T (p&lt;0.0001) polymorphisms with the risk of CML. No significant associations were observed between <italic id="italic-4a0682ee40641601ef9fb668765aed3d">CAT </italic>-262C/T (p=0.711), <italic id="italic-f59db1b8f3e21a23be1d31a8fb93526e">MPO </italic>-463G/A (p=0.494), <italic id="italic-2a2b1f273511c02ceb6a7ce29505cc47">GSTM1 </italic>and <italic id="italic-d661b43314e48d584fb6ac178e4654a0">GSTT1 <italic id="italic-b7f36bbeddccd9c96b24a6e59dcd00c8"/></italic>null/deletion polymorphisms (p=1; p=0.193) and CML. Catalase is an endogenous antioxidant enzyme involved in ROS neutralizing pathways and prevents cellular injury from ROS [22]. Two polymorphisms: <italic id="italic-ef006320c28e7003c63456b96555d264">CAT<italic id="italic-9d759860291e126a296bea2fd1eebf1b"/></italic>-21A/T with altered gene expression pattern [23] and <italic id="italic-7221f7e1bd69b62f54072799e27fa278">CAT </italic>-262C/T with lower <italic id="italic-bbf0ea333bc641efa23c670cb5237fd8">CAT </italic>enzyme activity [24] may alter ROS detoxification and increase oxidative stress, implicating oxidative DNA damage and modulating disease risk [25]. In the present study, the <italic id="italic-946cf5d26616187120f52393e07ccf84">CAT </italic>-21A/T polymorphism was significantly associated with increased risk of CML (p=0.037).</p>
      <p id="paragraph-1c6cc75ffc1dff889c42ecf652ed72a8">The stratified genotyping results with various confounding variables revealed that the homozygous variant TT genotype increased in non responders (p=0.259) and the heterozygous AT genotype frequency in TKD mutation carriers (p=0.571) and in deceased (p=0.548) group of patients. In addition, the codominant model (AA vs AT) (p=0.024) and dominant models (combined AT and TT genotypes) (p=0.05) presented significant association with increased risk of CML when compared with AA homozygote. Whereas Liu et al (2016) reported an increased cancer risk with recessive model and homozygote model [26]. This indicates that variant T allele with lower catalase activity and thus increased levels of ROS may contribute to genomic instability and increased risk of cancer. Earlier studies reported no significant associations with the risk of colorectal cancer [27], gastric cancer (GC) and hepatocellular carcinoma (HCC) [13].</p>
      <p id="paragraph-3b6995f3573b3347a3dbd56884ca09e2">In our study, we found no evidence of the <italic id="italic-78988032219f3bea44a9f63ee6744029">CAT </italic>-262 C/T polymorphism with CML risk or its association with confounding variables. Our results are in accordance with earlier studies that reported no significant association with risk of hepatocellular carcinoma [28], breast cancer [29], and gastric cancer [30]. Previous other studies showed significant increased risk of cervical cancer [15], breast cancer [31], hepatocellular carcinoma [32] and prostate cancer [33]. Whereas others reported that -262C/T polymorphism was a protective factor with respect to chronic myeloid leukemia [19] and hepatocellular carcinoma susceptibility [14-17].</p>
      <p id="paragraph-0edfe44cdc7b645e7e8caf61e1de2d3f"><italic id="italic-ec02b8b43dd1b2966f5fc798b6c5efee">GPX1 </italic>is a key enzyme of the antioxidative system that detoxifies peroxide radicals and lipid hydroperoxides. The -198C/T (Pro200Leu) polymorphism in <italic id="italic-57bfb404bc00005e8c209f121958847f">GPX1 </italic>is associated with reduced enzyme activity [34-35]. Previous studies reported that higher <italic id="italic-2687b7883668dc8303649c47c1a2076b">GPX1 </italic>activity is required to counterbalance the ROS levels and related damage occurring during initiation or progression of the cancer [36-39]. We obseved statistically significant association of the homozygous variant TT genotype with CML risk (p=&lt;0.0001). The stratified results of confounding variables presented the significant association of <italic id="italic-289f874032df9a6c9d2b7534b35e1ef3">GPX1<italic id="italic-b01ced48d850eeeffc0bcc25bc598137"/></italic>-198 C/T polymorphism with poor molecular response (p=0.005) and acquired TKD mutations (p=0.114). In addition, the codominant (CC vs CT and CC vs TT) and dominant (CC vs CT+TT) models conferred increased risk of CML when compared with CC homozygote (p=&lt;0.0001). Our results were in accordance with others findings on breast cancer [39-41], bladder cancer [42] and lung cancer [43]. This indicates that the variant Leu allele with reduced enzyme activity might increase ROS levels thereby induced oxidative DNA damage and increased susceptibility to cancer. Whereas other studies failed to find an association of <italic id="italic-ce4826ab620b1cd9056b574fb32d12aa">GPX1 </italic>-198C/T polymorphism with the risk of CML [19], breast cancer [44-45] and prostate cancer [46].</p>
      <p id="paragraph-b6734da8138af32d8b2eb5b15326fdb4">Glutathione S-transferases (GSTs) are involved in detoxification of a wide range of carcinogens and ROS thereby offering protection against oxidative DNA damage. GST enzymes are polymorphic, which may contribute to the inter-individual variability in the response to oxidative stress suggesting its role in carcinogenesis and risk for cancer. In the present study, the <italic id="italic-2a61e579842cfbda3c6d6c7d5e274d37">GSTM1 </italic>and <italic id="italic-c42344b041a4fa52d1d29c5315c123f5">GSTT1 </italic>null/deletion polymorphisms were not associated with risk of CML. Our results are similar with earlier studies on CML [20]. Previous studies on the <italic id="italic-17e9815bacb4837da60b9baa56d901e2">GSTT1 </italic>null polymorphism reported positive association with risk of CML [47-50] and AML [20]. Earlier studies on <italic id="italic-2f2b047bd2624a55277ed3cbaaf0b6cf">GSTM1 </italic>null polymorphism showed no association the risk of CML [50], AML [51] and breast cancer [52].</p>
      <p id="paragraph-378fa3717ba7d4068423140e3dfc1cae">Myeloperoxidase (<italic id="italic-b6ef1be90f25a6e082f4065ba7023cf2">MPO</italic>) is an endogenous oxidant enzyme that activates carcinogens [53]. A single nucleotide polymorphism in the promoter region of the <italic id="italic-dd976ba43cebe7ae6601edad5afc3080">MPO </italic>gene, G-463A (rs2333227) has been associated with reduced mRNA expression and transcriptional activity and subsequent decreased metabolic activation of procarcinogens [54]. In the present study, no evidence of <italic id="italic-888893a17b598701890b1773402c8333">MPO </italic>-463G/A polymorphism with the risk of CML was observed. Our results were in accordance with earlier studies on ALL [55], AML [56] and breast cancer [57]. Whereas others reported that the A allele with reduced <italic id="italic-817d141a45328da3fb9ee769d909dbbc">MPO </italic>activity and ROS production has been associated with decreased risk of breast cancer [58], lung cancer [59] and prostate cancer [60].</p>
      <p id="paragraph-f7278d1db12140368f1e98f83b352185">In conclusion, our results suggest that the reduced activity of antioxidant enzymes caused by the <italic id="italic-871f1ab899c7fb45e729e6ebe79ce070">CAT </italic>-21A/T and <italic id="italic-751f656a42196c688c47625b41cc3ce4">GPX1</italic>-198C/T polymorphisms might contribute to increased risk of CML. In addition, the <italic id="italic-9cff5354abb78eb18a6baf592ce96c31">GPX1</italic>-198C/T polymorphism was associated with poor molecular response and acquired TKD mutations. Hence, the present study indicates that defective antioxidant defense system might have a strong influence on CML susceptibility and TKI (imatinib) response through oxidative stress.</p>
      <p id="paragraph-0de9254d6d47289707b8bfaf33af4941" />
    </sec>
    <sec id="heading-07ac380a5c5972213fecc18a9d90901d">
      <title>Acknowledgments</title>
      <p id="paragraph-7d778b3c0e1fe7fbc304c3e2284dfdda"><bold id="bold-7ed5e75e72c21c6a9276dbfb7aa0381e"> </bold>The authors would be grateful to the participants.</p>
      <p id="paragraph-f42bc5724c327e9843a082fc8bad2b2a" />
      <sec id="heading-cadcde6485ae15b1dc003e7f53bcc3fc">
        <title>
          <italic id="italic-dfa02396827d3563db6e1929399385be">Financial support<italic id="italic-f6e75824931a39fa08835cccbbd61233"/></italic>
        </title>
        <p id="paragraph-745de5c0440cffb15160d46cef2fdfae">This work was partially supported through a grant by Science and Engineering Research Board (SERB), Startup Research Grant for young Scientists, Government of India (Dr. Sailaja Kagita).</p>
        <p id="paragraph-b8f31b7d99f6a22f951bc2ea9aa23025" />
      </sec>
      <sec id="heading-2d1c2c7cde5f476474bf3e452a31f18c">
        <title>
          <italic id="italic-38119acbf614b20fb65049c3ba0cab09">Conflicts of interest<italic id="italic-b705e9241ef66b6c1da81b1bf71444de"/></italic>
        </title>
        <p id="paragraph-8085fc5dbfdb659ca6d724e900dee25f">There are no conflicts of interest.</p>
        <p id="paragraph-c6c63fbc52e8e853a3579476981b84b3" />
      </sec>
    </sec>
    <sec id="heading-b6e3ceeef4852ca55a063ad0ccffa9a8">
      <title>References</title>
      <p id="heading-51cbd136191b453027d7a4c7dfa59ad9" />
    </sec>
  </body>
  <back>
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