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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1732128</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2026.1732128</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>DPYD genotyping in patients receiving capecitabine: an exploratory analysis from the D-TORCH study</article-title>
<alt-title alt-title-type="left-running-head">Baskarane et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2026.1732128">10.3389/fphar.2026.1732128</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Baskarane</surname>
<given-names>Hemavathi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Divakar</surname>
<given-names>Mohit Kumar</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Santhosh</surname>
<given-names>Akhil P.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Pallavi</surname>
<given-names>Kriti</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Hooda</surname>
<given-names>Vishakha</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Yenamandra</surname>
<given-names>Vamsi Krishna</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Kumar</surname>
<given-names>Saran</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Shetty</surname>
<given-names>Vrajesh</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Banotra</surname>
<given-names>Jahnavi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Gupta</surname>
<given-names>Ishaan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Minocha</surname>
<given-names>Shilpi</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Tanwar</surname>
<given-names>Pranay</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1630607"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Sharma</surname>
<given-names>Atul</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
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<contrib contrib-type="author">
<name>
<surname>Vasudeva</surname>
<given-names>Payal</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Kumar</surname>
<given-names>Akash</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Chethan</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Bakhshi</surname>
<given-names>Sameer</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Batra</surname>
<given-names>Atul</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<label>1</label>
<institution>Department of Medical Oncology, All India Institute of Medical Science</institution>, <city>New Delhi</city>, <country country="IN">India</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Indian Institute of Science</institution>, <city>Bengaluru</city>, <country country="IN">India</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Indian Institute of Technology</institution>, <city>Delhi</city>, <country country="IN">India</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>National Cancer Institute</institution>, <city>Jhajjar</city>, <country country="IN">India</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Atul Batra, <email xlink:href="mailto:batraatul85@gmail.com">batraatul85@gmail.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-20">
<day>20</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1732128</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>15</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Baskarane, Divakar, Santhosh, Pallavi, Hooda, Yenamandra, Kumar, Shetty, Banotra, Gupta, Minocha, Tanwar, Sharma, Vasudeva, Kumar, Chethan, Bakhshi and Batra.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Baskarane, Divakar, Santhosh, Pallavi, Hooda, Yenamandra, Kumar, Shetty, Banotra, Gupta, Minocha, Tanwar, Sharma, Vasudeva, Kumar, Chethan, Bakhshi and Batra</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-20">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>
<bold>Introduction:</bold> Deficiency of the dihydropyrimidine dehydrogenase enzyme can result in capecitabine-related toxicity due to genetic alterations in the DPYD gene, leading to complete or partial DPD deficiency and poor or intermediate metabolizer phenotypes. The distribution of DPYD variants varies across populations. While routine DPYD genotyping is recommended in Western populations, data from India, particularly from next-generation sequencing (NGS)&#x2013;based studies, remain limited. </p>
<p>
<bold>Methods:</bold> This exploratory analysis was conducted within the D-TORCH trial, a randomized, double-blind, placebo-controlled study evaluating topical diclofenac for prevention of capecitabine-induced hand&#x2013;foot syndrome. Germline whole-exome sequencing was performed in consenting patients prior to capecitabine initiation. DPYD variants were identified using an NGS pipeline, annotated via ANNOVAR and PharmGKB, and classified according to CPIC guidelines. </p>
<p>
<bold>Results: </bold>Seventy-six patients underwent DPYD sequencing; 54 (71%) carried at least one variant and 22 (29%) were wild-type. Thirteen coding or splice-site variants were identified, including three (3.9%) associated with an intermediate metabolizer phenotype; no poor metabolizers were detected. The most common variants were classified as normal metabolizers. Grade 2 toxicity occurred in 63.6% of variant carriers and 55.6% of wild-type patients, with diarrhea and mucositis being most frequent. No significant association was observed between DPYD variant status and toxicity. </p>
<p>
<bold>Discussion:</bold> This first NGS-based DPYD report from India highlights the low prevalence of clinically actionable variants. Larger studies are required to validate these findings and guide population-specific fluoropyrimidine dosing strategies.</p>
</abstract>
<kwd-group>
<kwd>cancer genomics</kwd>
<kwd>capecitabine toxicity</kwd>
<kwd>DPYD gene polymorphism</kwd>
<kwd>D-TORCH trial</kwd>
<kwd>pharmacogenomics (PGx)</kwd>
<kwd>pharmacogentics</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="0"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="30"/>
<page-count count="10"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pharmacogenetics and Pharmacogenomics</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="methods" id="s1">
<title>Background</title>
<p>Fluoropyrimidines, such as 5-fluorouracil (5-FU) and capecitabine, are widely used chemotherapeutic agents in the treatment of gastrointestinal, head and neck, and breast cancers (<xref ref-type="bibr" rid="B16">Masuda et al., 2017</xref>; <xref ref-type="bibr" rid="B4">Bang et al., 2012</xref>; <xref ref-type="bibr" rid="B6">Cassidy et al., 2008</xref>; <xref ref-type="bibr" rid="B10">Grothey et al., 2018</xref>; <xref ref-type="bibr" rid="B9">Geyer et al., 2006</xref>). These drugs are known to cause early-onset severe or life-threatening toxicities, including myelosuppression, mucositis, hand-foot syndrome, and diarrhea, in about 10 to 30% of patients, with reported mortality rates ranging from 0.5% to 1%] (<xref ref-type="bibr" rid="B29">Van Cutsem et al., 2001</xref>; <xref ref-type="bibr" rid="B1">Amstutz et al., 2009</xref>; <xref ref-type="bibr" rid="B5">Boisdron-Celle et al., 2017</xref>; <xref ref-type="bibr" rid="B8">Froehlich et al., 2015</xref>; <xref ref-type="bibr" rid="B17">Meulendijks et al., 2015</xref>; <xref ref-type="bibr" rid="B12">L&#xe9;vy et al., 1998</xref>; <xref ref-type="bibr" rid="B3">Bajetta et al., 2005</xref>; <xref ref-type="bibr" rid="B28">Tsalic et al., 2003</xref>). The enzyme dihydropyrimidine dehydrogenase (DPD), which is coded by the DPYD gene, is the rate-limiting enzyme involved in the 5-FU metabolism (<xref ref-type="bibr" rid="B27">Thorn et al., 2011</xref>). Partial or complete deficiency of DPD activity is associated with life-threatening side effects among patients undergoing 5&#x2013;FU&#x2013;based treatment (<xref ref-type="bibr" rid="B18">Morel et al., 2006</xref>; <xref ref-type="bibr" rid="B15">Lunenburg et al., 2020</xref>). More than 450 DPYD polymorphisms have been associated with fluoropyrimidine-induced toxicity, and the incidence of DPD deficiency has been estimated at 3%&#x2013;7% in the Caucasian population (<xref ref-type="bibr" rid="B18">Morel et al., 2006</xref>; <xref ref-type="bibr" rid="B15">Lunenburg et al., 2020</xref>; <xref ref-type="bibr" rid="B2">Amstutz et al., 2018</xref>).</p>
<p>Routine testing for four DPYD variants that are commonly found&#x2013;DPYD2A (c.1905+1G&#x3e;A), DPYD13 (c.1679T&#x3e;G), c.2846A&#x3e;T, and c.1129-5923C&#x3e;G/hapB3 is recommended by the European Medicines Agency before the initiation of 5-FU chemotherapy (<xref ref-type="bibr" rid="B15">Lunenburg et al., 2020</xref>). These mutations play a role in the interindividual variability of 5-FU toxicity. The current guidelines of the Clinical Pharmacogenetics Implementation Consortium (CPIC) include 82 known DPYD variants, of which 21 are classified as poor metabolizers (no DPYD enzyme function), six as intermediate metabolizers (reduced function), and the rest as normal metabolizers or with limited evidence (<xref ref-type="bibr" rid="B2">Amstutz et al., 2018</xref>). The CPIC guidelines suggest avoiding 5-FU in poor metabolizers and a 25%&#x2013;50 % dose reduction in intermediate metabolizers. (<xref ref-type="bibr" rid="B15">Lunenburg et al., 2020</xref>; <xref ref-type="bibr" rid="B2">Amstutz et al., 2018</xref>) While fluoropyrimidine toxicity profiles are comparable between populations, the prevalence and distribution of DPYD variants differ (<xref ref-type="bibr" rid="B30">White et al., 2021</xref>). Certain variants which are common in Europeans have not been reported in the African, Chinese, or Japanese populations, whilst other clinically relevant variants may be unique to non-Caucasians. Routine DPYD genotyping is not commonly practiced in India, and information on DPYD polymorphisms in the Indian population is scarce. Previously published data from India utilized PCR or Sanger 4 sequencing to examine known polymorphisms in most cases, including healthy volunteers or patients with grade 3 toxicities (<xref ref-type="bibr" rid="B11">Hariprakash et al., 2018</xref>; <xref ref-type="bibr" rid="B21">Patil et al., 2016</xref>).</p>
<p>To address these gaps, we conducted a single-center study using next-generation sequencing to evaluate the prevalence of DPYD variants in capecitabine-treated patients and their associated toxicity profiles.</p>
</sec>
<sec sec-type="methods" id="s1-1">
<title>Methods</title>
<sec id="s1-1-1-1">
<title>Study design and patient cohort</title>
<p>This exploratory analysis was conducted in patients enrolled in the D-TORCH study, a phase III trial evaluating the efficacy of diclofenac gel in preventing capecitabine-induced hand-foot syndrome (HFS). D-TORCH was an investigator-initiated, single-center, randomized, double-blind, placebo-controlled trial conducted at the All-India Institute of Medical Sciences (AIIMS), New Delhi, between January 2021 and February 2023. The trial was prospectively registered with the Clinical Trials Registry of India (CTRI/202101/030592), approved by the Institutional Ethics Committee (IECPG-82/27.01.2021), and conducted in accordance with Indian Council of Medical Research (ICMR) guidelines and Good Clinical Practice (GCP) standards. The study protocol and primary results have been previously published (<xref ref-type="bibr" rid="B25">Santhosh et al., 2022</xref>)</p>
<p>Briefly, eligible patients were randomly assigned to receive either topical 1% diclofenac gel or a placebo for a 12-week study period. Overall toxicity was assessed using the Common Terminology Criteria for Adverse Events (CTCAE) during the first 12&#xa0;weeks of treatment, with evaluations performed every 3-week cycle, and toxicity data have been previously reported in the D-TORCH trial. The gel was applied to both hands concurrently with oral capecitabine administration. The primary endpoint was the incidence of grade 2 or higher HFS. In patients willing to participate in the optional genetic study, a 5&#xa0;mL blood sample was collected before therapy initiation for germline whole-exome sequencing (WES). In the current exploratory analysis, we present the analysis of <italic>DPYD</italic> gene polymorphisms.</p>
</sec>
<sec id="s1-2">
<title>DNA extraction and sequencing</title>
<p>Genomic DNA was extracted from the blood samples using the QIAamp DNA mini kit (Cat. No. 51306, QIAGEN). Samples with a minimum concentration of 25&#xa0;ng/ul were sent for DNA sequencing. DNA sequencing libraries were prepared through enzymatic fragmentation and ligation-based methods, per the manufacturer&#x2019;s protocol (zGenTM DNA Library Prep EZ). Further, the libraries were subjected to capture and multiplexing as per the IDT capture protocol (xGen Hyb Panel v2). Post quality-check, the prepared library was sequenced on the Illumina NovaSeq 6000 platform with 150 &#xd7; 2 base paired-end reads.</p>
</sec>
<sec id="s1-3">
<title>Data analysis and variant calling</title>
<p>Sequencing data analysis was performed on the DRAGEN v4.2.4 pipeline on the DRAGEN Bio-IT platform, using the GRCh38 reference genome. Alignment and Post processing were followed by variant calling, and the variant file was generated in the VCF format. Next, a multi-sample VCF was generated for the cohort-wise analysis, having only the variants with the &#x201c;PASS&#x201d; filter. The generated multi-sample VCF was further annotated via the ANNOVAR annotation tool. Further, the annotated VCF was filtered for the exonic variants and analysed for their functional relevance related to the capecitabine toxicity. We also referred to the PharmGKB database for individual variants, which contains the clinical variant annotation CPIC guidelines for the genetic variants&#x2019; response to different medications.</p>
</sec>
<sec id="s1-4">
<title>Statistical analysis</title>
<p>Participants&#x2019; baseline clinical characteristics and toxicity profiles were presented using descriptive statistics, including median (inter-quartile range), mean (standard deviation) and frequencies. No inferential statistical tests were performed. All statistical analysis was done using SPSS version 29.0 (IBM Corp. Released 2023. IBM SPSS Statistics for Windows, Version 29.0.2.0 Armonk, NY: IBM Corp). Firth-adjusted logistic regression and stratified sensitivity analyses were performed using R version 4.3.1 (R Foundation for Statistical Computing, Vienna, Austria), employing the logistf package A lollipop plot depicting the distribution of DPYD variants was generated using the Mutation Mapper tool on cBioportal.</p>
</sec>
</sec>
<sec sec-type="results" id="s2">
<title>Results</title>
<p>Among the 263 patients in the D-TORCH study, <italic>DPYD</italic> genotyping was performed in 76 patients, who agreed to participate in this exploratory sub-study (<xref ref-type="sec" rid="s12">Supplementary Figure S1</xref>). Baseline characteristics such as age, sex, cancer type, prior chemotherapy exposure, regimen type, and randomized arm were similar between the sequenced subgroup and the whole cohort, although a higher proportion of patients in the sequenced cohort had metastatic disease (36.4% vs. 21.4%, P &#x3d; 0.007. However, with respect to toxicity, patients in the sequenced cohort experienced a higher, statistically significant proportion of grade 2&#x2013;3 diarrhea, whereas the frequencies of other treatment-related toxicities were comparable between the groups. Of these, 54 (71%) harbored at least one <italic>DPYD</italic> variant, while 22 (29%) were wild-type. The median age of the participants was 47 years (range: 27&#x2013;71), with a female predominance (69.7%). Most patients had an ECOG performance status of 0&#x2013;1 (55.3%), and breast and gastrointestinal malignancies were similarly distributed. Most patients had metastatic breast or gastrointestinal cancer. Baseline characteristics and toxicity profiles of the sequenced subgroup versus the whole cohort are summarized in <xref ref-type="table" rid="T1">Table 1</xref>. Comparisons between DPYD variant-positive and wild-type patients are detailed in <xref ref-type="table" rid="T2">Table 2</xref>, and no statistically significant differences were observed in baseline characteristics between the variant-positive and variant-negative groups or by the metabolizer phenotype (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Comparison of baseline characteristics and toxicity profile between the sequenced subgroup and the whole cohort.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="left">DPYD not tested (n &#x3d; 187)</th>
<th align="left">DPYD tested (n &#x3d; 76)</th>
<th align="left">P value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (years), mean &#xb1; SD</td>
<td align="left">47.1 &#xb1; 11.6</td>
<td align="left">48.2 &#xb1; 11.6</td>
<td align="left">0.484</td>
</tr>
<tr>
<td align="left">Sex</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">0.755</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">53 (28.3%)</td>
<td align="left">23 (30.3%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">134 (71.7%)</td>
<td align="left">53 (69.7%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Drug/Placebo arm</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">0.350</td>
</tr>
<tr>
<td align="left">&#x2003;Drug</td>
<td align="left">98 (52.4%)</td>
<td align="left">35 (46.1%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;Placebo</td>
<td align="left">89 (47.6%)</td>
<td align="left">41 (53.9%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Regimen type</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">0.046</td>
</tr>
<tr>
<td align="left">&#x2003;Monotherapy</td>
<td align="left">84 (44.9%)</td>
<td align="left">24 (31.6%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;Combination therapy</td>
<td align="left">103 (55.1%)</td>
<td align="left">52 (68.4%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Cancer type</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">0.191</td>
</tr>
<tr>
<td align="left">&#x2003;Breast</td>
<td align="left">77 (41.2%)</td>
<td align="left">38 (50.0%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;Gastrointestinal</td>
<td align="left">110 (58.8%)</td>
<td align="left">38 (50.0%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Prior chemotherapy</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">0.060</td>
</tr>
<tr>
<td align="left">&#x2003;No</td>
<td align="left">124 (66.3%)</td>
<td align="left">41 (53.9%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;Yes</td>
<td align="left">63 (33.7%)</td>
<td align="left">35 (46.1%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Stage</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Curative</td>
<td align="left">103 (78.6%)</td>
<td align="left">28 (21.4%)</td>
<td align="left">0.007</td>
</tr>
<tr>
<td align="left">Palliative</td>
<td align="left">84 (63.6%)</td>
<td align="left">48 (36.4%)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td colspan="4" align="left">Toxicity profile ((&#x2265; grade 2)</td>
</tr>
<tr>
<td align="left">Diarrhea</td>
<td align="left">35/187 (18.7%)</td>
<td align="left">30/76 (39.5%)</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Mucositis</td>
<td align="left">41/187 (21.9%)</td>
<td align="left">25/76 (32.9%)</td>
<td align="left">0.063</td>
</tr>
<tr>
<td align="left">Myelosuppression&#x2a;</td>
<td align="left">6/187 (3.2%)</td>
<td align="left">3/76 (3.9%)</td>
<td align="left">0.721</td>
</tr>
<tr>
<td align="left">HFS grade 2&#x2013;4&#x2a;</td>
<td align="left">17/187 (9.1%)</td>
<td align="left">8/76 (10.5%)</td>
<td align="left">&#x200b;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<italic>P</italic> values were calculated using the Wilcoxon rank-sum test for age.</p>
</fn>
<fn>
<p>&#x3c7;<sup>2</sup> test for sex, drug/placebo arm, regimen type, cancer type, prior chemotherapy, stage, diarrhea (&#x2265; Grade 2), and mucositis (&#x2265; Grade 2).</p>
</fn>
<fn>
<p>&#x2a;- Fisher&#x2019;s exact test was applied.</p>
</fn>
<fn>
<p>All statistical tests were two-sided.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Baseline characteristics by variant status (N &#x3d; 76).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Total</th>
<th align="left">All patients N &#x3d; 76 (%)</th>
<th align="left">DPYD variant N &#x3d; 54 (%)</th>
<th align="left">Wild type variant N &#x3d; 22 (%)</th>
<th align="left">P value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (mean &#xb1; SD)</td>
<td align="left">48.2 &#xb1; 11.6</td>
<td align="left">48.59 &#xb1; 12.07</td>
<td align="left">46.09 &#xb1; 10.34</td>
<td align="left">0.39</td>
</tr>
<tr>
<td align="left">Sex<break/>Male<break/>Female</td>
<td align="left">23 (30.3)<break/>53 (69.7)</td>
<td align="left">17 (31.5%)<break/>27 (68.5%)</td>
<td align="left">6 (27.3)<break/>16 (72.7)</td>
<td align="left">0.789</td>
</tr>
<tr>
<td align="left">PS<break/>0&#x2013;1<break/>2</td>
<td align="left">42 (55.3)<break/>34 (44.7)</td>
<td align="left">32 (59.3)<break/>22 (40.7)</td>
<td align="left">10 (45.5)<break/>12 (54.5)</td>
<td align="left">0.316</td>
</tr>
<tr>
<td align="left">Randomized arm<break/>Diclofenac<break/>Placebo</td>
<td align="left">41 (53.9)<break/>35 (46.1)</td>
<td align="left">26 (48)<break/>28 (52)</td>
<td align="left">15 (68.2)<break/>7 (31.8)</td>
<td align="left">0.11</td>
</tr>
<tr>
<td align="left">Type of cancer<break/>Breast<break/>Gi</td>
<td align="left">38 (50)<break/>38 (50)</td>
<td align="left">26 (48)<break/>28 (52)</td>
<td align="left">12 (54.5)<break/>10 (45.5)</td>
<td align="left">0.801</td>
</tr>
<tr>
<td align="left">Curative<break/>Palliative</td>
<td align="left">28 (36.8)<break/>48 (63.2)</td>
<td align="left">20 (37)<break/>34 (63)</td>
<td align="left">8 (36.4)<break/>14 (63.6)</td>
<td align="left">1.00</td>
</tr>
<tr>
<td align="left">Mono<break/>Combination therapy</td>
<td align="left">24 (31.6)<break/>52 (68.4</td>
<td align="left">15 (28)<break/>39 (72)</td>
<td align="left">9 (40.9)<break/>13 (59.1)</td>
<td align="left">0.287</td>
</tr>
<tr>
<td align="left">Previous chemotherapy received</td>
<td align="left">35 (46.1)</td>
<td align="left">26 (48)</td>
<td align="left">9 (40.9)</td>
<td align="left">0.619</td>
</tr>
<tr>
<td align="left">BSA<break/>BMI</td>
<td align="left">1.53 (1.33&#x2013;1.77)<break/>21.3 (15.6&#x2013;28.4)</td>
<td align="left">1.53 (1.38&#x2013;1.77)<break/>21.4 (18&#x2013;28)</td>
<td align="left">1.53 (1.33&#x2013;1.75)<break/>21.1 (15.6&#x2013;28.4)</td>
<td align="left">--</td>
</tr>
<tr>
<td align="left">Dose of capecitabine, mg/m2, mean (SD)</td>
<td align="left">2901 (383)</td>
<td align="left">2907.4 (364)</td>
<td align="left">2886.3 (434)</td>
<td align="left">0.83</td>
</tr>
<tr>
<td align="left">Dose reduction at any time</td>
<td align="left">21</td>
<td align="left">17</td>
<td align="left">4</td>
<td align="left">0.24</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s2-1">
<title>Variant spectrum of the DPYD gene in the patient cohort</title>
<p>In the cohort of 76 patients sequenced, we identified 123 high-quality genetic variants in the DPYD gene. Sequencing data was also assessed on various parameters to check the overall sequencing data consistency. This yielded an average sequencing depth of around 203.84x and a callable fraction ranging from 0.86 to 0.99 among all the samples (<xref ref-type="sec" rid="s12">Supplementary Table S2</xref>). Detailed sequencing data along with per-exon coverage and read depth per sample are listed in <xref ref-type="sec" rid="s12">Supplementary Table S3</xref>; <xref ref-type="sec" rid="s12">Supplementary Table S4</xref>. Moreover, uniform VCF-level filters included mapping quality (MQ) and overall quality (QUAL), such that variants with mapping quality less than 40 (MQ &#x3c; 40) and over-all QUAL less than 30 (QUAL&#x3c;30) were filtered out at VCF level and only the variants that pass all filters and labelled as &#x201c;PASS&#x201d; in VCF were retained. This yielded a total of 123 genetic variants, of which, 10 multiallelic variants were not covered in this analysis (<xref ref-type="sec" rid="s12">Supplementary Table S5</xref>), since they were present as repeat elements and require a separate set of informatic tools and annotations. Therefore, the present study covers the 113 single nucleotide polymorphisms (SNPs) and Insertions/Deletions (InDels) analyzed. There were 104 SNPs and 9 InDels, which were further filtered to prioritise only exonic and splicing variants. This resulted in a total of 13 variants in the coding region, comprising 12 exonic variants and one splicing variant (<xref ref-type="table" rid="T3">Table 3</xref>; <xref ref-type="sec" rid="s12">Supplementary Figure S2</xref>). Of the 12 exonic variants, nine were non-synonymous and three were synonymous. The most frequently observed variants were rs1801265 (n &#x3d; 25), rs1801159 (n &#x3d; 12), and rs1801160 (n &#x3d; 13). The distribution of these variants varied, with 33 patients (61%) harboring a single variant, 13 patients (24%) carrying two variants, and eight patients (15%) carrying three variants.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>List of exonic variants identified in our cohort.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Chr</th>
<th align="left">Start</th>
<th align="left">End</th>
<th align="left">Ref</th>
<th align="left">Alt</th>
<th align="left">Func.refGene</th>
<th align="left">Gene.refGene</th>
<th align="left">GeneDetail.refGene</th>
<th align="left">ExonicFunc.refGene</th>
<th align="left">AAChange.refGene</th>
<th align="left">avsnp151</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">chr1</td>
<td align="right">97305279</td>
<td align="right">97305279</td>
<td align="left">G</td>
<td align="left">A</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Nonsynonymous SNV</td>
<td align="left">DPYD:NM_000110:exon18:c.C2279T:p.T760I</td>
<td align="left">rs112766203</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97305364</td>
<td align="right">97305364</td>
<td align="left">C</td>
<td align="left">T</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Nonsynonymous SNV</td>
<td align="left">DPYD:NM_000110:exon18:c.G2194A:p.V732I</td>
<td align="left">rs1801160</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97450068</td>
<td align="right">97450068</td>
<td align="left">A</td>
<td align="left">G</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Synonymous SNV</td>
<td align="left">DPYD:NM_000110:exon14:c.T1896C:p.F632F</td>
<td align="left">rs17376848</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97515839</td>
<td align="right">97515839</td>
<td align="left">T</td>
<td align="left">C</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Nonsynonymous SNV</td>
<td align="left">DPYD:NM_000110:exon13:c.A1627G:p.I543V</td>
<td align="left">rs1801159</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97515865</td>
<td align="right">97515865</td>
<td align="left">C</td>
<td align="left">T</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Nonsynonymous SNV</td>
<td align="left">DPYD:NM_000110:exon13:c.G1601A:p.S534N</td>
<td align="left">rs1801158</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97515921</td>
<td align="right">97515921</td>
<td align="left">A</td>
<td align="left">C</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Synonymous SNV</td>
<td align="left">DPYD:NM_000110:exon13:c.T1545G:p.V515V</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97515923</td>
<td align="right">97515923</td>
<td align="left">C</td>
<td align="left">T</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Nonsynonymous SNV</td>
<td align="left">DPYD:NM_000110:exon13:c.G1543A:p.V515I</td>
<td align="left">rs148994843</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97573863</td>
<td align="right">97573863</td>
<td align="left">C</td>
<td align="left">T</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Synonymous SNV</td>
<td align="left">DPYD:NM_000110:exon11:c.G1236A:p.E412E</td>
<td align="left">rs56038477</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97679170</td>
<td align="right">97679170</td>
<td align="left">T</td>
<td align="left">C</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Nonsynonymous SNV</td>
<td align="left">DPYD:NM_000110:exon8:c.A775G:p.K259E</td>
<td align="left">rs45589337</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97699535</td>
<td align="right">97699535</td>
<td align="left">T</td>
<td align="left">C</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Nonsynonymous SNV</td>
<td align="left">DPYD:NM_000110:exon6:c.A496G:p.M166V</td>
<td align="left">rs2297595</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97740426</td>
<td align="right">97740426</td>
<td align="left">T</td>
<td align="left">A</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Nonsynonymous SNV</td>
<td align="left">DPYD:NM_000110:exon4:c.A287T:p.D96&#xa0;V,DPYD:NM_001160301:exon4:c.A287T:p.D96V</td>
<td align="left">rs771573678</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97883329</td>
<td align="right">97883329</td>
<td align="left">A</td>
<td align="left">G</td>
<td align="left">Exonic</td>
<td align="left">DPYD</td>
<td align="left">.</td>
<td align="left">Nonsynonymous SNV</td>
<td align="left">DPYD:NM_000110:exon2:c.T85C:p.C29R,DPYD:NM_001160301:exon2:c.T85C:p.C29R</td>
<td align="left">rs1801265</td>
</tr>
<tr>
<td align="left">chr1</td>
<td align="right">97450058</td>
<td align="right">97450058</td>
<td align="left">C</td>
<td align="left">T</td>
<td align="left">Splicing</td>
<td align="left">DPYD</td>
<td align="left">NM_000110:exon14:c.1905 &#x2b; 1G&#x3e;A</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
<td align="left">rs3918290</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-2">
<title>Drug response/toxicity related variants</title>
<p>For understanding the clinical relevance of the 13 coding variants, we utilised the PharmgKB database with CPIC guidelines for capecitabine and the DPYD gene. Of the 13 variants, nine were assigned as Level 1A, in terms of evidence available for the variant-specific guidelines. Level 1A variants are those with the highest clinical annotation levels of evidence for the variant-drug prescribing guidelines. Of the 9 Level 1A variants, two variants had altered DPD activity. We also mapped the observed genotype and individual variant alleles for all the 13 variants, to their assigned enzyme activity value and calculated the enzyme activity score for the respective genotypes. Then, an annotated metabolizer phenotype was listed for the respective variant. This showed three variants with altered DPD activity (<xref ref-type="sec" rid="s12">Supplementary Table S6</xref>).</p>
<p>First variant rs56038477 (DPYD:NM_000110:exon11:c.G1236A:p.E412E) was present in heterozygous condition such that the mutated allele had an assigned activity value of 0.5 and the wild type allele having 1.0 activity value, such that a calculated activity score for this genotype was 1.5. This allele had an Intermediate metabolizer phenotype (1.5) reported, implicated in a decreased DPD gene activity (30%&#x2013;70% of normal), and an increased risk for drug toxicity for fluoropyrimidine drugs. This variant is a synonymous variant, in which the T allele represents a marker for the HapB3 haplotype allele (an intronic variant) and an associated decreased function as per the CPIC guidelines.</p>
<p>The second variant identified (rs3918290) was a splicing variant in the DPYD gene (DPYD:NM_000110:c.1905 &#x2b; 1G&#x3e;A) being a heterozygous variant with an assigned activity value of 0.0 for mutated allele and 1.0 activity value for the wild type allele, such that a calculated activity score for this genotype was 1.0. Therefore resulting in an Intermediate metabolizer phenotype (1.0), a decreased DPD activity (30%&#x2013;70% of normal), and an increased risk for fluoropyrimidine drug toxicity.</p>
<p>We also identified a third variant, rs112766203, which was not assigned to any level of evidence (such as Level 1A, 1B), but has the variant annotations as per the CPIC guidelines for capecitabine and DPYD. This exonic variant rs112766203 (DPYD:NM_000110:exon18:c.C2279T:p.T760I) was also present in heterozygous condition such that the mutated allele had an assigned activity value of 0.5 and the wild type allele having 1.0 activity value, such that a calculated activity score for this genotype was 1.5, which results in a phenotype of intermediate metabolizer (1.5), a decreased DPD activity (30%&#x2013;70% of normal), and an increased risk for fluoropyrimidine drug toxicity.</p>
<p>In summary, we identified three variants resulting in intermediate metabolizer phenotype and a reduced DPD gene activity in our cohort (<xref ref-type="sec" rid="s12">Supplementary Figure S3</xref>). We also identified two more variants, for which no information is available as per the CPIC guidelines or PharmGKB database, but predicted to be the Variant of Unknown Significance (VUS) from the Franklin automated ACMG classification.</p>
</sec>
<sec id="s2-3">
<title>Correlation of toxicity and mutations</title>
<p>Among DPYD variant carriers (n &#x3d; 54), 66.7% (36 patients) experienced Grade 2 or 3 toxicity, comparable to 63.6% (14 patients) in the DPYD wild-type group (n &#x3d; 22) (<xref ref-type="table" rid="T4">Table 4</xref>). Diarrhea was the most common toxicity in the DPYD variant group, affecting 40.8% (22 patients), with 25.9% (n = 14) experiencing grade 2 and 13% (n = 7) experiencing Grade 3 toxicity. Mucositis was observed in an equal proportion (40.8%, 22 patients), including 35.2% (19 patients) with Grade 2 and 3.7% (2 patients) with grade 3 toxicity. HFS occurred in 13% (7 patients ), with Grade 2 in 9.3% (5 patients) and Grade 3 in 1.9% (1 patient), while hematological toxicity (Grade 2) was noted in 3.7% (2 patients). A similar toxicity pattern was seen in DPYD wild-type patients, with diarrhea in 45.4% (10 patients) and mucositis in 31.7% (7 patients). HFS occurred in 13.5% (3 patients), while hematological toxicity (Grade 2) was reported in 4.5% (1 patient). Although both mucositis and diarrhea were numerically higher in the DPYD variant cohort, odds ratios indicated no statistically significant differences between variant and wild-type patients for any toxicity outcome (diarrhea &#x2265; grade 2 OR 0.65, 95% CI 0.24&#x2013;1.78, p &#x3d; 0.443; overall grade &#x2265;2 toxicity OR 0.71, 95% CI 0.26&#x2013;1.98, p &#x3d; 0.612) (<xref ref-type="table" rid="T4">Table 4</xref>). Among the three Intermediate metabolizers, grade 3 diarrhoea was observed in one patient with rs3918290, while no toxicity was observed in variants rs112766203 and rs56038477. A patient with a VUS and a novel variant did not report any adverse events.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Correlation of toxicity and mutations observed in patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Toxicity</th>
<th align="left">Variant (n &#x3d; 22)</th>
<th align="left">Wild-type (n &#x3d; 54)</th>
<th align="left">Odds ratio</th>
<th align="left">95% CI</th>
<th align="left">P value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Diarrhoea &#x2265; grade 2</td>
<td align="left">10 (45.5%)</td>
<td align="left">19 (35.2%)</td>
<td align="left">0.65</td>
<td align="left">0.24&#x2013;1.78</td>
<td align="left">0.443</td>
</tr>
<tr>
<td align="left">Diarrhoea (any grade)</td>
<td align="left">10 (45.5%)</td>
<td align="left">20 (37.0%)</td>
<td align="left">0.71</td>
<td align="left">0.26&#x2013;1.93</td>
<td align="left">0.606</td>
</tr>
<tr>
<td align="left">Mucositis (any grade)</td>
<td align="left">9 (40.9%)</td>
<td align="left">20 (37.0%)</td>
<td align="left">0.85</td>
<td align="left">0.31&#x2013;2.34</td>
<td align="left">0.798</td>
</tr>
<tr>
<td align="left">Mucositis &#x2265; grade 2</td>
<td align="left">9 (40.9%)</td>
<td align="left">18 (33.3%)</td>
<td align="left">0.72</td>
<td align="left">0.26&#x2013;2.00</td>
<td align="left">0.601</td>
</tr>
<tr>
<td align="left">Myelosuppression (any/&#x2265;G2)</td>
<td align="left">1 (4.5%)</td>
<td align="left">2 (3.7%)</td>
<td align="left">0.81</td>
<td align="left">0.07&#x2013;9.39</td>
<td align="left">1.000</td>
</tr>
<tr>
<td align="left">Overall toxicity (any grade)</td>
<td align="left">14 (63.6%)</td>
<td align="left">32 (59.3%)</td>
<td align="left">0.83</td>
<td align="left">0.30&#x2013;2.32</td>
<td align="left">0.800</td>
</tr>
<tr>
<td align="left">Overall toxicity &#x2265; grade 2</td>
<td align="left">14 (63.6%)</td>
<td align="left">30 (55.6%)</td>
<td align="left">0.71</td>
<td align="left">0.26&#x2013;1.98</td>
<td align="left">0.612</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Among normal metabolizers (n &#x3d; 50), 70% (35) experienced grade 2 or 3 toxicity. Mucositis was reported in 42% (21 patients), with grade 2 in 38% (19 patients) and grade 3 in 4% (2 patients). Diarrhea occurred in 40% (20 patients), with grade 2 in 28% (14 patients) and grade 3 in 12% (6 patients). HFS was observed in 12% (6 patients), with grade 2 in 10% (5 patients) and grade 3 in 2% (1 patient). (<xref ref-type="sec" rid="s12">Supplementary Table S7</xref>) Furthermore, variant-specific toxicities among all the patients screened are also detailed in the <xref ref-type="sec" rid="s12">Supplementary Table S8</xref> for the grade 3 or higher toxicities. Comparisons between intermediate and normal metabolizers should be interpreted cautiously given the limited sample size of intermediate metabolizers. As a result, several endpoints yielded non-estimable (NE) estimates with wide confidence intervals, limiting inference on toxicity differences by metabolizer status (<xref ref-type="sec" rid="s12">Supplementary Table S9</xref>). To address the limited sample size, adjusted analyses were conducted using Firth penalized logistic regression. Separate models were fitted for grade &#x2265;2 hand&#x2013;foot syndrome (HFS), grade &#x2265;2 diarrhoea, grade &#x2265;2 mucositis, and any grade &#x2265;2 toxicity, adjusting for age, sex, cancer type, prior chemotherapy exposure, treatment modality (monotherapy vs. combination), randomized arm, mean capecitabine dose received, and DPYD variant status. In all models, none of the covariates were significantly associated with the occurrence of grade &#x2265;2 toxicities (<xref ref-type="table" rid="T5">Table 5</xref>).</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Multivariable firth logistic regression for grade &#x2265;2 toxicities.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="left">Grade &#x2265;2 HFS OR (95% CI)</th>
<th align="left">
<italic>P</italic> value</th>
<th align="left">Grade &#x2265;2 diarrhoea OR (95% CI)</th>
<th align="left">
<italic>P</italic> value</th>
<th align="left">Grade &#x2265;2 mucositis OR (95% CI)</th>
<th align="left">
<italic>P</italic> value</th>
<th align="left">Any &#x2265; grade 2 toxicity OR (95% CI)</th>
<th align="left">
<italic>P</italic> value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Model N (events)</td>
<td align="left">N &#x3d; 76 (8)</td>
<td align="left">&#x200b;</td>
<td align="left">N &#x3d; 76 (29)</td>
<td align="left">&#x200b;</td>
<td align="left">N &#x3d; 76 (27)</td>
<td align="left">&#x200b;</td>
<td align="left">N &#x3d; 76 (30)</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Age</td>
<td align="left">1.04 (0.98&#x2013;1.12)</td>
<td align="left">0.22</td>
<td align="left">1.02 (0.98&#x2013;1.06)</td>
<td align="left">0.44</td>
<td align="left">1.01 (0.97&#x2013;1.06)</td>
<td align="left">0.49</td>
<td align="left">1.01 (0.97&#x2013;1.06)</td>
<td align="left">0.56</td>
</tr>
<tr>
<td align="left">Sex (female vs. male)</td>
<td align="left">3.42 (0.36&#x2013;40.4)</td>
<td align="left">0.28</td>
<td align="left">0.95 (0.22&#x2013;3.95)</td>
<td align="left">0.94</td>
<td align="left">0.56 (0.13&#x2013;2.21)</td>
<td align="left">0.41</td>
<td align="left">0.44 (0.10&#x2013;1.91)</td>
<td align="left">0.27</td>
</tr>
<tr>
<td align="left">Cancer type (GI vs. breast)</td>
<td align="left">2.51 (0.21&#x2013;30.0)</td>
<td align="left">0.44</td>
<td align="left">0.41 (0.06&#x2013;2.16)</td>
<td align="left">0.30</td>
<td align="left">1.25 (0.23&#x2013;6.45)</td>
<td align="left">0.79</td>
<td align="left">0.73 (0.14&#x2013;3.85)</td>
<td align="left">0.70</td>
</tr>
<tr>
<td align="left">Prior chemotherapy (yes vs. no)</td>
<td align="left">2.01 (0.24&#x2013;20.6)</td>
<td align="left">0.51</td>
<td align="left">0.40 (0.09&#x2013;1.56)</td>
<td align="left">0.19</td>
<td align="left">0.94 (0.25&#x2013;3.57)</td>
<td align="left">0.92</td>
<td align="left">0.68 (0.17&#x2013;2.66)</td>
<td align="left">0.58</td>
</tr>
<tr>
<td align="left">Combination vs. monotherapy</td>
<td align="left">0.75 (0.13&#x2013;4.40)</td>
<td align="left">0.74</td>
<td align="left">1.73 (0.55&#x2013;6.21)</td>
<td align="left">0.36</td>
<td align="left">0.87 (0.28&#x2013;2.74)</td>
<td align="left">0.81</td>
<td align="left">1.15 (0.37&#x2013;3.49)</td>
<td align="left">0.81</td>
</tr>
<tr>
<td align="left">Randomized arm (intervention vs. control)</td>
<td align="left">2.93 (0.65&#x2013;16.8)</td>
<td align="left">0.17</td>
<td align="left">1.00 (0.38&#x2013;2.62)</td>
<td align="left">0.99</td>
<td align="left">0.75 (0.27&#x2013;1.98)</td>
<td align="left">0.56</td>
<td align="left">0.85 (0.31&#x2013;2.28)</td>
<td align="left">0.74</td>
</tr>
<tr>
<td align="left">Mean capecitabine dose received</td>
<td align="left">1.00 (0.99&#x2013;1.00)</td>
<td align="left">0.12</td>
<td align="left">1.00 (0.99&#x2013;1.00)</td>
<td align="left">0.37</td>
<td align="left">1.00 (0.99&#x2013;1.00)</td>
<td align="left">0.74</td>
<td align="left">1.00 (0.99&#x2013;1.00)</td>
<td align="left">0.84</td>
</tr>
<tr>
<td align="left">DPYD variant (yes vs. no)</td>
<td align="left">0.69 (0.14&#x2013;4.12)</td>
<td align="left">0.66</td>
<td align="left">0.69 (0.25&#x2013;1.89)</td>
<td align="left">0.46</td>
<td align="left">0.74 (0.27&#x2013;2.06)</td>
<td align="left">0.55</td>
<td align="left">0.52 (0.16&#x2013;1.51)</td>
<td align="left">0.23</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Odds ratios and 95% confidence intervals were estimated using Firth&#x2019;s penalized logistic regression in R with the logistf package.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Sensitivity analyses were performed for HFS toxicity alone, as topical diclofenac has minimal systemic absorption and is not expected to affect other toxicities. The DPYD genotype by treatment arm interaction showed no evidence of effect modification (any grade OR 2.26, 95% CI 0.11&#x2013;60.57, p &#x3d; 0.596; grade &#x2265;2 OR 0.87, 95% CI 0.03&#x2013;26.39, p &#x3d; 0.931), indicating that diclofenac did not confound the relationship between DPYD genotype and HFS.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s3">
<title>Discussion</title>
<p>In this exploratory sub-study of the D-TORCH trial, 54 of the 76 sequenced patients (71%) harboured at least one DPYD variant, while no poor metabolizers were detected.; however, three individuals were determined to be intermediate metabolizers as per the activity values for the identified genotype, one of whom developed grade 3 toxicity. The remaining 51 individuals were classified as normal metabolizers, including one who harbored an unknown variant (no RSID) and showed no adverse effects. Among the four DPYD variants recommended by the European Medical Agency (EMA) for routine testing, rs3918290 has been the most frequently reported variant in previous Indian studies in association with grade 3 toxicity (<xref ref-type="bibr" rid="B23">Pavithran et al., 2021</xref>; <xref ref-type="bibr" rid="B7">Chan et al., 2024</xref>). However, in our cohort, only one patient carried this variant. This discrepancy is presumably due to prior studies focusing solely on patients with grade 3 toxicities, whereas we carried out NGS regardless of clinical toxicity.</p>
<p>The most prevalent variants found among the normal metabolizers in our study (n &#x3d; 50) were rs1801265 (n &#x3d; 25), rs1801159 (n &#x3d; 12), rs1801160 (n &#x3d; 13), and rs2297595 (n &#x3d; 7). Based on CPIC guidelines, these variants do not require dose adjustment. Nevertheless, their clinical relevance is uncertain, with conflicting evidence across various ethnic populations. Interestingly, 35 out of 50 patients in our cohort, classified as normal metabolizer phenotype as per the CPIC guidelines, still developed grade 2 or 3 toxicity, emphasizing the limitation of CPIC-based phenotype prediction and dose adjustment in the Indian population. Our findings align with previous Indian studies. Patil et al. selectively tested 12 Indian patients with grade 3 toxicities during TPF (Docetaxel,5-fluorouracil (5-FU), and cisplatin) neoadjuvant therapy and reported normal metabolizers in rs1801160, rs1801265, or rs2297595 in 11 patients (<xref ref-type="bibr" rid="B21">Patil et al., 2016</xref>). Similarly, Sahu et al. conducted PCR-based testing in 22 gastrointestinal cancer patients with grade 3 toxicities, detecting normal metabolizer phenotypes in rs1801265 (n &#x3d; 8), rs2297595 (n &#x3d; 4), and rs1801160 (n &#x3d; 4) (<xref ref-type="bibr" rid="B24">Sahu et al., 2016</xref>). Furthermore, a South Indian study of 375 patients employing PCR-based testing for four variants identified rs2297595 in 32 of 47 DPYD-mutated individuals, tying it to fluoropyrimidine toxicity (<xref ref-type="bibr" rid="B23">Pavithran et al., 2021</xref>). Another study using Sanger sequencing of selective variants in 1064 Indian patients receiving fluoropyrimidines reported a DPYD variant frequency of 27.2 percent (289/1064), involving either homozygous or heterozygous mutations in rs1801160 and rs1801159, though data on clinical toxicity was not described (<xref ref-type="bibr" rid="B22">Patil et al., 2019</xref>).</p>
<p>In addition, two population-based studies of DPYD polymorphisms in Indians also highlighted genetic variability. Hariprakash et al. analyzed almost 3,000 South Asians, validating their findings in 110 Indian cancer patients, and observed that certain variants were comparable to those found in individuals of European ancestry, while others were more closely related to those seen in individuals of African origin (<xref ref-type="bibr" rid="B11">Hariprakash et al., 2018</xref>). Heterozygous variants rs1801265, rs1801159, rs1801160, rs2297595, and rs12022243 were frequent in the general population. Notably, rs2297595, despite being a standard metabolizer variant, was associated with toxicity in the cancer cohort. The second population-based study evaluated 2000 Indian individuals, mapping DPYD variant frequencies and their functional activity using bioinformatic tools. Deleterious variants were found at a frequency of 1.89%, while normal metabolizers per CPIC were at a frequency of 58.3% in rs1801265, rs2297595, rs1801160, rs75017182, and rs1801158. In silico/CUP-SAT analyses predicted an impaired DPD enzyme nature for rs1801160 and rs1801158 but not for rs2297595, in contrast to the earlier study. Population clustering analysis of Indians was in line with South Asians being distinct from Europeans and Africans, underscoring ethnic variations in DPYD polymorphisms and 5-FU toxicity risk (<xref ref-type="bibr" rid="B19">Naushad et al., 2021</xref>).</p>
<p>In the recent systematic review by Chan et al., conducted exclusively in non-European ancestry, a higher frequency of novel DPYD variants was observed, along with an association between the normal metabolizer phenotype and fluoropyrimidine toxicity, despite overall toxicity rates being similar to those in Caucasians (<xref ref-type="bibr" rid="B7">Chan et al., 2024</xref>). In our study, we identified a variant of uncertain significance and a previously unreported novel variant. Similarly, Lopes et al., found that around 6% of the patient population (n &#x3d; 631) had a DPYD variant that was overlooked by targeted genotyping (<xref ref-type="bibr" rid="B14">L&#xf3;pez L&#xf3;pez-Cepero et al., 2023</xref>). These included functionally important intronic variants within haplotype B3, which evince the limitations of conventional screening methods. NGS may better capture rare or intronic variants over PCR, though targeted panels with intronic coverage remain a viable and cost-effective alternative. Among 22 patients with DPYD wild-type, 13 experienced grade 2/3 toxicity, hinting the role of additional enzyme polymorphisms such as thymidine synthase and MTHFR involved in the 5-FU metabolism (<xref ref-type="bibr" rid="B13">Loganayagam et al., 2013</xref>). Routine sequencing may inform toxicity prediction by mapping gene polymorphisms that contribute to toxicity and remain uncharacterized in the Indian context.</p>
<p>Ethnic diversity also highlights the importance of genotype-phenotype association in decoding DPD enzyme function (<xref ref-type="bibr" rid="B30">White et al., 2021</xref>). The DPYD activity score, validated in the Caucasian population, remains unverified in other ethnic groups, potentially explaining toxicity differences among CPIC-classified normal metabolizers (<xref ref-type="bibr" rid="B30">White et al., 2021</xref>). Limited genotype-phenotype studies have also identified population-specific variations, such as the 1905 &#x2b; 1G&#x3e;A intronic variant, which is prevalent in Iranians but does not mirror the same toxicity profile seen in Europeans (<xref ref-type="bibr" rid="B20">Negarandeh et al., 2020</xref>).</p>
<p>Overall, in the present study, we identified exonic variants in the DPYD gene in 71% of patients (54 out of 76) in our cohort. Of these, 3.9% of patients (3 out of 76) had a DPYD exonic variant with a recommended intermediate metabolizer phenotype as per the CPIC guidelines. Further, we observed that some exonic variants detected in our cohort were also present in patients with grade 3 toxicity, however, inconsistent evidence exists for such variants. Additionally, there were patients with grade 3 or higher toxicity and no DPYD exonic variant observed. Such patients can be considered for further investigation of other underlying genetic mechanisms. Traditional PCR-based genotyping covers only targeted genetic variants and the broader gene-based variants are not captured in PCR-based assay. Our study represents the first report from India on DPYD gene-based investigation using NGS assay. However, it is limited by a smaller sample size and underrepresentation of patients with higher grade toxicity. In this context, these findings should be viewed primarily as an exploratory and descriptive assessment, rather than a definitive evaluation of the relationship between DPYD variants and clinical toxicity. Only 29% of the parent D-TORCH cohort underwent optional genotyping, and the intermediate metabolizer group was very small, limiting statistical power and producing wide confidence intervals. While baseline characteristics were broadly similar, the sequenced cohort included slightly more metastatic and combination-therapy patients and exhibited a higher proportion of &#x2265;grade 2 diarrhea; however, no association was found with other toxicities. These factors support a cautious, hypothesis-generating interpretation of the findings. Moreover, our study has genetic analysis limited to exonic and splicing variants. Yet intronic DPYD risk alleles will not be captured directly, rather these would be tagged with exonic variants, such as exonic variants rs56038477 is often used as a tag SNP for the HapB3 haplotype. Also, in certain cases with deep intronic DPYD risk alleles, whole exome sequencing may not capture such intronic variants and true prevalence might be underreported. In this exploratory work, we also acknowledge the limitation that no orthogonal confirmation of clinically relevant calls such as rs56038477 was performed. Large-scale genotype-phenotype correlation studies are required to precisely define the impact of DPYD gene polymorphisms in the Indian population and their therapeutic implication.</p>
</sec>
<sec sec-type="conclusion" id="s4">
<title>Conclusion</title>
<p>In summary, the present study demonstrates the primary insights into the capecitabine-related toxicity and DPYD exonic variants among Indian patients. Ethnic differences in the DPYD polymorphic variants exist in our population, underscoring the importance of phenotype correlation and routine NGS-based testing over PCR-based screening for enhanced toxicity prediction. Findings from our study lay the groundwork for further investigation on the capecitabine-related toxicity and DPYD exonic variants. Larger studies are needed to corroborate these findings and develop population-specific recommendations for safer use of fluoropyrimidines.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The datasets presented in this article are not readily available due to ethical and legal restrictions, because sequencing data contains information that could compromise the participants&#x27; privacy. Requests to access such datasets should be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Institute Ethics Committee of All India Institute of Medical Sciences, New Delhi. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>HB: Conceptualization, Data curation, Formal Analysis, Writing &#x2013; original draft, Writing &#x2013; review and editing. MD: Conceptualization, Data curation, Formal Analysis, Writing &#x2013; original draft, Writing &#x2013; review and editing. AkS: Conceptualization, Writing &#x2013; review and editing, Data curation. KP: Writing &#x2013; review and editing. VH: Writing &#x2013; review and editing. VY: Conceptualization, Writing &#x2013; review and editing. SK: Conceptualization, Writing &#x2013; review and editing. VS: Writing &#x2013; review and editing. JB: Writing &#x2013; review and editing. IG: Conceptualization, Writing &#x2013; review and editing. SM: Conceptualization, Writing &#x2013; review and editing. PT: Conceptualization, Writing &#x2013; review and editing. AtS: Conceptualization, Writing &#x2013; review and editing. PV: Writing &#x2013; review and editing. AK: Conceptualization, Writing &#x2013; review and editing. RC: Conceptualization, Writing &#x2013; review and editing. SB: Conceptualization, Writing &#x2013; review and editing. AB: Conceptualization, Data curation, Formal Analysis, Supervision, Writing &#x2013; original draft, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
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<title>Publisher&#x2019;s note</title>
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<sec sec-type="supplementary-material" id="s12">
<title>Supplementary material</title>
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</p>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1201510/overview">Boluwatife Lawrence Afolabi</ext-link>, Tulane University, United States</p>
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