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<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
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<journal-title>Frontiers in Oncology</journal-title>
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<issn pub-type="epub">2234-943X</issn>
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<article-id pub-id-type="doi">10.3389/fonc.2025.1648272</article-id>
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<subj-group subj-group-type="heading">
<subject>Original Research</subject>
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<title-group>
<article-title>Real-world data analysis of adjuvant capecitabine for triple-negative breast cancer after neoadjuvant chemotherapy</article-title>
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<name><surname>Pascual</surname><given-names>Javier</given-names></name>
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<name><surname>Iglesias</surname><given-names>Marcos</given-names></name>
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<name><surname>Pajares</surname><given-names>Bella</given-names></name>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Dom&#xed;nguez-Recio</surname><given-names>Maria Emilia</given-names></name>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>S&#xe1;nchez-Mu&#xf1;oz</surname><given-names>Alfonso</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/834562/overview"/>
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<aff id="aff1"><label>1</label><institution>Department of Medical Oncology, Virgen de La Victoria University Hospital</institution>, <city>Malaga</city>,&#xa0;<country country="es">Spain</country></aff>
<aff id="aff2"><label>2</label><institution>The Biomedical Research Institute of Malaga (IBIMA-CIMES-UMA)</institution>, <city>Malaga</city>,&#xa0;<country country="es">Spain</country></aff>
<aff id="aff3"><label>3</label><institution>Centro de Investigacion Biomedica en Red de C&#xe1;ncer (CIBERONC-CB16/12/00481)</institution>, <city>Madrid</city>,&#xa0;<country country="es">Spain</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Medical Oncology, Hospital Regional Universitario de Malaga</institution>, <city>Malaga</city>,&#xa0;<country country="es">Spain</country></aff>
<aff id="aff5"><label>5</label><institution>Faculty of Medicine, University of Malaga</institution>, <city>Malaga</city>,&#xa0;<country country="es">Spain</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Gonzalo Lend&#xed;nez-S&#xe1;nchez, <email xlink:href="mailto:gonlensa@hotmail.com">gonlensa@hotmail.com</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-17">
<day>17</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1648272</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Godoy-Ort&#xed;z, Lend&#xed;nez-S&#xe1;nchez, Zalabardo, Pascual, L&#xf3;pez-Pascual, Cantero, Ribelles, Iglesias, Villar, Pajares, D&#xed;az-Redondo, Dom&#xed;nguez-Recio, Carabantes, Bermejo, Rueda-Dom&#xed;nguez, Alba and S&#xe1;nchez-Mu&#xf1;oz.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Godoy-Ort&#xed;z, Lend&#xed;nez-S&#xe1;nchez, Zalabardo, Pascual, L&#xf3;pez-Pascual, Cantero, Ribelles, Iglesias, Villar, Pajares, D&#xed;az-Redondo, Dom&#xed;nguez-Recio, Carabantes, Bermejo, Rueda-Dom&#xed;nguez, Alba and S&#xe1;nchez-Mu&#xf1;oz</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-17">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>
<sec>
<title>Purpose</title>
<p>Evaluate real-world outcomes in three cohorts of patients with early-stage triple-negative breast cancer (TNBC) treated with neoadjuvant chemotherapy (NAC): (1) patients who achieved pathological complete response (pCR); (2) patients without pCR who didn&#x2019;t receive adjuvant chemotherapy; and (3) patients without pCR who received adjuvant capecitabine.</p>
</sec>
<sec>
<title>Methods</title>
<p>Retrospective cross-sectional study from two hospitals in M&#xe1;laga. Patients with TNBC received standard NAC followed by surgery. Between 2004 and 2015, patients not achieving pCR received no further systemic therapy. From 2015 onward, these patients were treated with adjuvant capecitabine. Kaplan&#x2013;Meier and log-rank tests were used to compare disease-free survival (DFS) and overall survival (OS).</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 312 patients were included in the study. 133 achieved pCR, 84 patients didn&#x2019;t achieve pCR and didn&#x2019;t receive adjuvant capecitabine and 95 patients didn&#x2019;t reach pCR and received adjuvant capecitabine. 89 patients experienced recurrence and 70 patients died. Patients who achieved pCR had a significantly higher DFS (HR 0.21 CI95% 0.12-0.36, p&lt;0.0001) and higher overall survival (HR 0.27 CI95% 0.15-0.49, p&lt;0.0001) compared to those who didn&#x2019;t. Statistically significant differences in DFS and OS were observed among the three cohorts (DFS: p&lt;0.00001; OS: p=0.00005). However, no statistically significant differences were found between cohorts 2 and 3 in terms of DFS (p=0.94) or OS (p=0.34).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Patients who achieved pCR had better outcomes compared to those who didn&#x2019;t. Among patients who didn&#x2019;t achieve pCR, the addition of capecitabine didn&#x2019;t result in significant improvements in DFS or OS compared to those who didn&#x2019;t receive adjuvant treatment.</p>
</sec>
</abstract>
<kwd-group>
<kwd>triple negative breast cancer</kwd>
<kwd>pathological complete response</kwd>
<kwd>adjuvant capecitabine</kwd>
<kwd>early breast cancer</kwd>
<kwd>CreateX</kwd>
<kwd>CIBOMA</kwd>
<kwd>BRCA1</kwd>
<kwd>BRCA2</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that no financial support was received for the research, and/or publication of this article.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="11"/>
<word-count count="4260"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Breast Cancer</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Triple-negative breast cancer (TNBC) comprises a heterogeneous subgroup of tumors, accounting for approximately 15&#x2013;20% of all breast cancers. TNBC is clinically defined by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) amplification/overexpression. This breast cancer subtype exhibits a more aggressive natural history and worse disease-specific outcomes compared to other breast cancer subtypes. Standard treatment for early-stage TNBC has traditionally relied on anthracycline and taxane based chemotherapy, with or without platinum salts (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Neoadjuvant chemotherapy (NAC) has historically been used to downstage unresectable tumors, improving loco-regional control and increasing the rate of breast-conserving surgery. The neoadjuvant approach provides a valuable <italic>in vivo</italic> assessment of tumor biological sensitivity and drug efficacy. Patients who achieve pathological complete response (pCR) following NAC (between 30 - 40%), experience a significant improvement in prognosis, with disease-free survival (DFS) and overall survival (OS) comparable to that of patients with less aggressive tumors (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>),,. However, TNBC patients with residual disease (RD) after chemotherapy face a high risk of relapse and mortality (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B5">5</xref>), representing a critical unmet clinical need where post-neoadjuvant escalation therapies may still improve survival.</p>
<p>Following the CREATE-X trial, which demonstrated that adjuvant capecitabine improved both DFS and OS, its use as standard systemic therapy in unselected TNBC patients with RD after NAC has become standard therapy (<xref ref-type="bibr" rid="B6">6</xref>). The Finnish FinXX study evaluated adjuvant capecitabine in combination with standard adjuvant chemotherapy and, in an exploratory analysis of TNBC patients, reported a statistically significant improvement in recurrence-free survival (RFS, <xref ref-type="bibr" rid="B7">7</xref>). However, the addition of capecitabine, whether concurrently or sequentially after standard adjuvant chemotherapy, has yielded controversial results (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>In this study, we assessed real-world outcomes in three cohorts of patients with early invasive TNBC treated with NAC based on anthracyclines-cyclophosphamide and/or taxanes, with or without carboplatin:</p>
<p>Cohort 1: Patients who achieved pCR and did not receive adjuvant therapy.</p>
<p>Cohort 2: Patients who did not achieve pCR and did not receive adjuvant chemotherapy or other systemic therapy.</p>
<p>Cohort 3: Patients who did not achieve pCR and received adjuvant chemotherapy with capecitabine.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Patients and samples</title>
<p>We conducted a retrospective analysis of 312 patients with histologically confirmed invasive TNBC (ER-negative, PR-negative and Her2-negative). All patients received standard NAC. Within 4 to 6 weeks after the last chemotherapy cycle, patients underwent either modified radical mastectomy or conservative surgery with axillary lymph node dissection or sentinel lymph node biopsy according to standard surgical guidelines. Patients treated with breast-conserving surgery received adjuvant radiotherapy after surgery to the whole breast. For patients who underwent mastectomy, radiation therapy was administered to the chest wall and axillary region in patients who had an initial tumor &gt; 5 cm, inflammatory breast cancer or had positive nodes before or after neoadjuvant chemotherapy.</p>
<p>Patients who achieved a pCR did not receive chemotherapy adjuvant therapy or any other systemic therapy. From June 2004 to June 2015, patients who did not achieve pCR also did not receive adjuvant chemotherapy or other systemic treatments. However, since July 2015, patients with residual disease (RD) after NAC were administered adjuvant chemotherapy with oral capecitabine at a dose of 1250 mg/m&#xb2; twice daily on days 1 to 14 of a 21-day cycle, for six to eight cycles, unless discontinued based on the clinical judgment of the oncologist, the patient&#x2019;s decision, or any other reason as outlined in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>. Patients who received Olaparib, pembrolizumab, or any adjuvant treatment other than capecitabine were excluded from the analysis. Patients were followed up at our institutions every six months, with annual mammographic screening to assess for breast cancer recurrence or upon presentation of any symptoms or signs suggestive of recurrence.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of 312 patients with early-stage triple-negative breast cancer stratified by cohorts.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1648272-g001.tif">
<alt-text content-type="machine-generated">Flowchart depicting 312 early-stage invasive triple-negative breast cancer patients treated with neoadjuvant chemotherapy. 133 achieved pathological complete response (Cohort 1). 179 did not, split into 84 not receiving adjuvant capecitabine (Cohort 2) and 95 receiving it (Cohort 3). Cohort 2 is further divided into 40 before CreateX and 44 after. Reasons include clinical decisions, radiotherapy delays, toxicity, age, patient decision, and post-surgical complications.</alt-text>
</graphic></fig>
<p>Tumor sample analyses were conducted on biopsy specimens obtained before neoadjuvant treatment. Immunohistochemical staining was performed at our hospital using the following antibodies: estrogen receptor (ER, Clone SP1), progesterone receptor (PR, Clone Y85), and human epidermal growth factor receptor 2 (HER2, HercepTest, DakoCytomation, Glostrup, Denmark).</p>
<p>All patient samples were classified as triple-negative based on immunohistochemistry (IHC), defined as ER-negative, PR-negative, and HER2-negative. ER and PR were considered negative if &lt;1% of tumor cells showed positive staining. HER2 negativity was determined by either IHC scores of 0 or +1, or IHC + 2 with a negative fluorescence <italic>in situ</italic> hybridization (FISH) result.</p>
<p>Data on Ki-67 expression were collected both as a continuous variable and as a dichotomized variable, using a 50% cutoff. pCR was defined as the absence of invasive tumor cells in both the breast and lymph nodes (<xref ref-type="bibr" rid="B10">10</xref>). All patients provided written informed consent to receive treatment, and the study protocols were approved by the corresponding institutional ethics committees.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Statistical analysis methods</title>
<p>Continuous variables, including mean, median, measures of dispersion, standard deviation, interquartile range, and range, were summarized using measures of central tendency. Categorical variables were presented as frequencies and percentages.</p>
<p>Disease-free survival (DFS) was defined as the time from the date of surgery to either documented disease progression or death from any cause, whichever occurred first. Overall survival (OS) was defined as the time from the date of surgery to death from any cause. Kaplan&#x2013;Meier curves and log-rank tests were used to compare DFS and OS among cohorts.</p>
<p>The impact of prognostic variables, including menopausal status, &lt; 40 or &#x2265; 40 years, Ki-67 index &#x2264; 50% or &gt; 50%, tumour size &lt;5 cm or &#x2265;5 cm, lymph node status previous to surgery, achieving a pCR after NAC and adjuvant capecitabine, was evaluated using Cox proportional hazards regression models.</p>
<p>Survival analysis stratified by germline status mutation in each cohort was estimated using Kaplan-Meier method.</p>
<p>All statistical analyses and figures were generated using SPSS statistical software, version 26 (IBM, Armonk, NY, USA).</p>
<p>Figures were modified using InkScape vector graphics editor software.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>Data from 312 women with early-stage TNBC treated with NAC between 2004 and 2023 were retrospectively collected. The median age at diagnosis was 48.5 years (range: 26-79) and 177 patients (56.7%) were premenopausal. Axillary lymphs node involvement at diagnosis was observed in 134 patients (42.9%) while 57 patients (18.3%) had a tumour size greater than 5 cm. Ki67 proliferation index was greater than 50% in 203 patients (65.1%). Germline mutation testing was conducted in 205 patients (65.7%), revealing 31 patients with a pathogenic BRCA1 mutation and 8 patients with a pathogenic BRCA2 mutation. However, these patients did not receive adjuvant treatment with Olaparib, as it was not yet approved at that time. Other mutations (detected in 12 patients) were ATM, PALB2, RAD51, CDKN2A, MUTYH and MSH6. The majority of patients (95%) received standard NAC, consisting of anthracyclines, cyclophosphamide, and taxanes, with or without carboplatin. Additional baseline clinical and pathological characteristics, stratified by cohort, are summarized in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline clinical and pathological characteristics of the population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Total population</th>
<th valign="middle" align="center">pCR</th>
<th valign="middle" align="center">No pCR no adjuvant ChT</th>
<th valign="middle" align="center">No pCR yes adjuvant Cht</th>
<th valign="middle" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">N</td>
<td valign="middle" align="center">312</td>
<td valign="middle" align="left">133 (42.6%)</td>
<td valign="middle" align="center">84 (26.9%)</td>
<td valign="middle" align="center">95 (30.5%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Age (median &#xb1; SD)</td>
<td valign="middle" align="center">48.5 &#xb1; 11, 962</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.056</td>
</tr>
<tr>
<td valign="middle" align="center">&lt; 40</td>
<td valign="middle" align="center">64 (20.5%)</td>
<td valign="middle" align="center">35 (26.3%)</td>
<td valign="middle" align="center">11 (13.1%)</td>
<td valign="middle" align="center">18 (18.9%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&#x2265; 40</td>
<td valign="middle" align="center">248 (79.5%)</td>
<td valign="middle" align="center">98 (73.7%)</td>
<td valign="middle" align="center">73 (86.9%)</td>
<td valign="middle" align="center">77 (81.1%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Menopausal status</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"><bold>0.002</bold></td>
</tr>
<tr>
<td valign="middle" align="center">Premenopause</td>
<td valign="middle" align="center">177 (56.7%)</td>
<td valign="middle" align="center">89 (66.9%)</td>
<td valign="middle" align="center">36 (42.9%)</td>
<td valign="middle" align="center">52 (54.7%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Postmenopause</td>
<td valign="middle" align="center">135 (43.3%)</td>
<td valign="middle" align="center">44 (33.1%)</td>
<td valign="middle" align="center">48 (57.1%)</td>
<td valign="middle" align="center">43 (45.3%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Histology</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.469</td>
</tr>
<tr>
<td valign="middle" align="center">Ductal</td>
<td valign="middle" align="center">279 (89.4%)</td>
<td valign="middle" align="center">120 (43%)</td>
<td valign="middle" align="center">73 (26.2%)</td>
<td valign="middle" align="center">86 (30.8%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Lobular</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Medular</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Metaplasic</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Apocrine</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Other</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Tumoral Size</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"><bold>0.003</bold></td>
</tr>
<tr>
<td valign="middle" align="center">&#x2264; 5 cm</td>
<td valign="middle" align="center">255 (81.7%)</td>
<td valign="middle" align="center">120 (90.2%)</td>
<td valign="middle" align="center">62 (73.8%)</td>
<td valign="middle" align="center">73 (76.8%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&gt; 5cm</td>
<td valign="middle" align="center">57 (18.3%)</td>
<td valign="middle" align="center">13 (9.8%)</td>
<td valign="middle" align="center">22 (26.2%)</td>
<td valign="middle" align="center">22 (23.2%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">N</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"><bold>0.029</bold></td>
</tr>
<tr>
<td valign="middle" align="center">N0</td>
<td valign="middle" align="center">178 (57.1%)</td>
<td valign="middle" align="center">87 (48.9%)</td>
<td valign="middle" align="center">41 (23%)</td>
<td valign="middle" align="center">50 (28.1%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">N+</td>
<td valign="middle" align="center">134 (42.9%)</td>
<td valign="middle" align="center">46 (34.3%)</td>
<td valign="middle" align="center">43 (32.1%)</td>
<td valign="middle" align="center">45 (33.6%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Stage</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.079</td>
</tr>
<tr>
<td valign="middle" align="center">I-II</td>
<td valign="middle" align="center">254 (81.4%)</td>
<td valign="middle" align="center">116 (87.2%)</td>
<td valign="middle" align="center">65 (77.4%)</td>
<td valign="middle" align="center">73 (76.8%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">III</td>
<td valign="middle" align="center">58 (18.6%)</td>
<td valign="middle" align="center">17 (12.8%)</td>
<td valign="middle" align="center">19 (22.6%)</td>
<td valign="middle" align="center">22 (23.2%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Grade</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.162</td>
</tr>
<tr>
<td valign="middle" align="center">G1</td>
<td valign="middle" align="center">1 (0.3%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1 (1.1%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">G2</td>
<td valign="middle" align="center">56 (18%)</td>
<td valign="middle" align="center">18 (13.5%)</td>
<td valign="middle" align="center">15 (17.9%)</td>
<td valign="middle" align="center">23 (24.2%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">G3</td>
<td valign="middle" align="center">255 (81.7%)</td>
<td valign="middle" align="center">115 (86.5%)</td>
<td valign="middle" align="center">69 (82.1%)</td>
<td valign="middle" align="center">71 (74.7%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Ki 67</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"><bold>0.036</bold></td>
</tr>
<tr>
<td valign="middle" align="center">&#x2264; 50%</td>
<td valign="middle" align="center">109 (34.9%)</td>
<td valign="middle" align="center">36 (27.1%)</td>
<td valign="middle" align="center">34 (40.5%)</td>
<td valign="middle" align="center">39 (41.1%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&gt; 50%</td>
<td valign="middle" align="center">203 (65.1%)</td>
<td valign="middle" align="center">97 (72.9%)</td>
<td valign="middle" align="center">50 (59.5%)</td>
<td valign="middle" align="center">56 (58.9%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Neoadjuvant ChT</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.533</td>
</tr>
<tr>
<td valign="middle" align="center">DCT</td>
<td valign="middle" align="center">289 (92.6%)</td>
<td valign="middle" align="center">123 (92.5%)</td>
<td valign="middle" align="center">75 (89.3%)</td>
<td valign="middle" align="center">91 (95.8%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">DCTC</td>
<td valign="middle" align="center">9 (2.9%)</td>
<td valign="middle" align="center">4 (3%)</td>
<td valign="middle" align="center">2 (2.4%)</td>
<td valign="middle" align="center">3 (3.1%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Other</td>
<td valign="middle" align="center">14 (4.5%)</td>
<td valign="middle" align="center">6 (4.5%)</td>
<td valign="middle" align="center">7 (8.3%)</td>
<td valign="middle" align="center">1 (1.1%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Surgery</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.295</td>
</tr>
<tr>
<td valign="middle" align="center">Tumorectomy</td>
<td valign="middle" align="center">203 (65.1%)</td>
<td valign="middle" align="center">93 (69.9%)</td>
<td valign="middle" align="center">53 (63.1%)</td>
<td valign="middle" align="center">57 (60%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Radical Mastectomy</td>
<td valign="middle" align="center">109 (34.9%)</td>
<td valign="middle" align="center">40 (30.1%)</td>
<td valign="middle" align="center">31 (36.9%)</td>
<td valign="middle" align="center">38 (40%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Adjuvant radiotherapy</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.245</td>
</tr>
<tr>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">280 (89.7%)</td>
<td valign="middle" align="center">115 (86.5%)</td>
<td valign="middle" align="center">77 (91.7%)</td>
<td valign="middle" align="center">88 (92.6%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">32 (10.3%)</td>
<td valign="middle" align="center">18 (13.5%)</td>
<td valign="middle" align="center">7 (8.3%)</td>
<td valign="middle" align="center">7 (7.4%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Germline mutation</td>
<td valign="middle" align="left"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">BRCA1</td>
<td valign="middle" align="center">31 (9.9%)</td>
<td valign="middle" align="center">20 (15%)</td>
<td valign="middle" align="center">3 (3.6%)</td>
<td valign="middle" align="center">8 (8.4%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">BRCA2</td>
<td valign="middle" align="center">8 (2.6%)</td>
<td valign="middle" align="center">7 (5.3%)</td>
<td valign="middle" align="center">1 (1.2%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">107 (34.3%)</td>
<td valign="middle" align="center">34 (25.6%)</td>
<td valign="middle" align="center">40 (47.6%)</td>
<td valign="middle" align="center">33 (34.8%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Negative</td>
<td valign="middle" align="center">154 (49.4%)</td>
<td valign="middle" align="center">66 (49.6%)</td>
<td valign="middle" align="center">40 (47.6%)</td>
<td valign="middle" align="center">48 (50.5%)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">OTHERS</td>
<td valign="middle" align="left">12 (3.8%)</td>
<td valign="middle" align="center">6 (4.5%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">6 (6.3%)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ChT, Chemotherapy; DCT, Doxorubicine-cyclophosphamide-taxane; DCTC, Doxorubicine-cyclophosphamide-taxane-carboplatin; NA, Not available; pCR, pathological complete response. <italic>p</italic> values from &#x3c7;&#xb2; tests evaluating differences in categorical variables between the three cohorts. Bold values indicate <italic>p</italic> &lt; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>A pathological complete response was achieved by 133 patients (42.6%) who were categorized as Cohort 1. A total of 179 patients (57.4%) had RD. 84 patients (26.9%) did not receive adjuvant capecitabine and were categorized as Cohort 2. Notably, 44 patients in Cohort 2 did not receive adjuvant capecitabine treatment despite being diagnosed after the publication of the CreateX study results. The reasons for not receiving treatment are detailed in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>. The remaining 95 patients (30.5%) received adjuvant capecitabine and were categorized as Cohort 3.</p>
<p>Median follow-up was of 48 months (range: 3-250; C1 = 59 months, C2 = 58 months; C3 = 39 months). A total of 89 patients (28.5%) experienced disease recurrence. Locoregional recurrence was observed in 24 patients (7.7%), while 63 patients (20.2%) developed distant metastases as their first site of progression. As of the time of this analysis (January 2025), 70 patients (23%) had died, including three patients who passed away without evidence of disease progression (due to sudden death, suicide, and small-cell lung cancer). Death, recurrence, and recurrence type stratified by cohort are summarized in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Recurrence and exitus stratified by cohort.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Total population (n=312)</th>
<th valign="middle" align="center">pCR (n=133)</th>
<th valign="middle" align="center">No pCR no adjuvant ChT (n=84)</th>
<th valign="middle" align="center">No pCR yes adjuvant Cht (n=95)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">No recurrence</td>
<td valign="middle" align="center">223</td>
<td valign="middle" align="center">118</td>
<td valign="middle" align="center">46</td>
<td valign="middle" align="center">58</td>
</tr>
<tr>
<td valign="middle" align="left">Recurrence</td>
<td valign="middle" align="center">89</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">37</td>
</tr>
<tr>
<td valign="middle" align="left">Exitus</td>
<td valign="middle" align="center">70</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">24</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Patients who achieved a pCR had a significantly higher DFS (HR 0.21 CI95% 0.12-0.36, p&lt;0.0001 and OS (HR 0.27 CI95% 0.15-0.49, p&lt;0.0001) compared with those who did not achieve pCR (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2A, B</bold></xref>). Kaplan Meier curves and log-rank test for DFS and OS stratified by cohort are presented in <xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3A, B</bold></xref>. The median DFS and median OS were not reached in any of the three cohorts. Significant differences in DFS and OS were observed among the three cohorts according to the log-rank test (DFS: p &lt; 0.00001; OS:&#xa0;p&#xa0;= 0.00005). However, no statistically significant differences were found between Cohort 2 and Cohort 3 in terms of DFS (p&#xa0;=&#xa0;0.94) and OS (p = 0.34). The impact of multiple prognostic variables on DFS and OS &#x2014; including menopausal status, &lt; 40 or &#x2265; 40 years, Ki-67 index &#x2264; 50% or &gt; 50%, tumour size &lt;5 cm or &#x2265;5 cm, lymph node status previous to surgery, achieving a pCR after NAC and adjuvant capecitabine &#x2014; was evaluated using Cox regression analysis. Achieving a pCR was associated with a statistically significant lower risk of event in terms of both DFS (HR 0.25, 95% CI 0.133 &#x2013; 0.467, p = 0.0001) and OS (HR 0.335, 95% CI 0.173&#x2013; 0.646, p = 0.001). Additionally, Cox regression analysis revealed a significantly higher risk of events in terms of DFS (HR: 1.841, 95% CI: 1.201&#x2013;2.821, p = 0.005) and OS (HR: 2.385, 95% CI: 1.445&#x2013;3.939, p = 0.001) for patients with positive nodal status at diagnosis. Furthermore, patients with tumors &gt;5 cm exhibited a significantly higher risk of events in terms of OS (HR: 1.742, 95% CI: 1.047&#x2013;2.897, p = 0.033, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Tables&#xa0;1</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>2</bold></xref>). </p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Kaplan-Meier curves of <bold>(A)</bold> Disease-free survival and <bold>(B)</bold> Overall survival according to pathological response after neoadjuvant treatment.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1648272-g002.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curve shows disease-free survival over time in months. The red line represents patients with pCR, while the blue line represents those without. The pCR group has higher survival rates. P-value is less than 0.00001. Number at risk is also displayed for each group at different time points.</alt-text>
</graphic></fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Kaplan-Meier curves of <bold>(A)</bold> Disease-free survival and <bold>(B)</bold> Overall survival stratified by cohort.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1648272-g003.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curve showing disease-free survival over time in months. Three groups are represented: pCR (blue), no pCR no ChT (red), and no pCR Yes ChT (green). Statistical data includes overall p-value of 0.000058, A vs. B p &lt; 0.00001, A vs. C p = &lt; 0.00001, and B vs. C p = 0.936. Numbers at risk and events for each group are shown with pCR having the highest survival rate.</alt-text>
</graphic></fig>
<p>We conducted an exploratory analysis of DFS and OS stratified by germline mutation status within each cohort. Patients with undetermined germline status were excluded from this analysis. Among the 205 patients with available germline data, those carrying pathogenic mutations (n = 51) achieved significantly better outcomes in both DFS and OS compared with non-mutated patients (n = 154), with a DFS HR of 0.43 (95% CI = 0.20&#x2013;0.96, p&#xa0;=&#xa0;0.039) and an OS HR of 0.31 (95% CI = 0.11&#x2013;0.88, p = 0.027). </p>
<p>Six subgroups were subsequently defined according to the three main cohorts (1, 2, and 3) and germline mutation status (positive or negative). Patients in Cohort 1, who achieved a pCR, demonstrated the most favourable survival outcomes. Notably, none of the patients within this cohort who carried a germline mutation experienced disease recurrence or death during follow-up.</p>
<p>In contrast, patients in Cohorts 2 and 3 who did not achieve pCR showed poorer survival outcomes, irrespective of their germline mutation status or receipt of adjuvant capecitabine. Kaplan&#x2013;Meier survival curves for DFS and OS according to germline status are presented in <xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4A, B</bold></xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p><bold>(A)</bold> Disease free survival and <bold>(B)</bold> Overall Survival Kaplan Meier curves for each cohort according to their mutational status. C1 = Cohort 1: pCR; C2 = Cohort 2: no pCR no adjuvant capecitabine; C3 = Cohort 3: no pCR yes adjuvant capecitabine. DFS, disease free survival; gm, germline mutated; OS, Overall survival; wt = wild type.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1648272-g004.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curve showing overall survival over time in months. Three groups are represented: pCR (blue), no pCR no ChT (red), and no pCR Yes ChT (green). Statistical data includes overall p-value of 0.000058, A vs. B p &lt; 0.00001, A vs. C p = 0.000086, and B vs. C p = 0.325. Numbers at risk and events for each group are shown with pCR having the highest survival rate.</alt-text>
</graphic></fig>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In this retrospective study, we compared the outcome measured as DFS and OS of three cohorts of early TNBC patients treated with NAC: cohort 1 (patients who achieved a pCR); cohort 2 (not pCR and did not receive adjuvant chemotherapy); and cohort 3 (not pCR and adjuvant capecitabine). Our results demonstrated that patients who achieved a pCR (42.6%) had superior DFS and OS. However, Cohort 3 did not show an improved outcome compared to Cohort 2, suggesting the hypothesis that treatment with capecitabine in the absence of pCR after NAC may not provide a significant survival benefit in all patients with early TNBC.</p>
<p>The objective of precision medicine in TNBC implies that breast cancer treatment should be tailored based on the inherent risk of recurrence and individual sensitivity to different chemotherapies or alternative therapeutic approaches, such as targeted therapies or immunotherapy. First, it is essential to identify TNBC patients who require treatment beyond standard NAC. Two approaches may help in determining patients at the highest risk of recurrence and, therefore, in need of additional therapy. On an individual level, achieving a pCR is associated with improved survival (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B5">5</xref>), whereas patients with residual disease (RD) face a higher risk of recurrence and mortality. Another strategy involves the use of highly sensitive diagnostic tests to detect and quantify minimal residual disease (MRD), such as circulating tumor cells (CTCs) or circulating tumor DNA (ctDNA), through blood-based &#x201c;liquid biopsy&#x201d; assays. The presence of these biomarkers during treatment has been linked to a less favorable prognosis in both early and advanced breast cancer (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>), although they do not yet have established predictive value.</p>
<p>Second, multiple clinical trials have explored the addition of novel treatment options to standard chemotherapy to improve patient outcomes. In this context, the phase III CREATE-X trial (<xref ref-type="bibr" rid="B6">6</xref>) aimed to identify a cohort of high-risk patients. The study included 910 women who had received standard NAC regimens and had RD after surgery. Patients were randomized to either no further therapy or six to eight cycles of sequential capecitabine. Capecitabine therapy improved 5-year DFS (70% vs. 56%) and OS (78.8% vs. 70.3%) in the subgroup of 286 women with TNBC. Based on these results, the use of adjuvant capecitabine in unselected TNBC patients with RD after NAC was established as the standard of care.</p>
<p>However, in the adjuvant setting, the addition of capecitabine&#x2014;either concurrently, sequentially after standard chemotherapy, or as a metronomic regimen&#x2014;has yielded controversial results in reducing the risk of recurrence. Furthermore, it substantially increases treatment toxicity without consistently improving OS (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>), or provides benefits only in certain subgroups of TNBC patients. For instance, in the phase III CIBOMA trial, only the non-basal TNBC subgroup (27% of patients, as expected) derived benefit from capecitabine, as observed in a retrospective and prespecified analysis (<xref ref-type="bibr" rid="B8">8</xref>). More recently, FOXC1, a transcriptional driver of cell plasticity and metastasis, was identified as a single biomarker assessed via standardized immunohistochemistry. This marker demonstrated the ability to identify basal-like breast cancer, further corroborating the lack of benefit of adjuvant capecitabine in basal TNBC subtyping according to PAM50 and IHC (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>The phase III FinXX trial randomized patients to receive docetaxel with or without the addition of capecitabine, followed by epirubicin/cyclophosphamide. In the general population DFS and OS did not differ significantly between the groups after 10 years of follow up. Only in an exploratory subgroup analysis, a significant improvement in DFS and OS was observed in the TNBC subgroup, which comprised 202 patients (13% of the total population, <xref ref-type="bibr" rid="B18">18</xref>). Furthermore, CREATE-X study included a preselected population with worse prognosis and a relative resistance to standard chemotherapy, conducted in an exclusively Asian population. This homogeneity may partially explain differences in capecitabine tolerance and efficacy (<xref ref-type="bibr" rid="B19">19</xref>). In contrast, studies based on real-world data and clinical experiences involving predominantly Caucasian populations, such as our study, provide valuable insights. In routine clinical practice, treatment strategies may differ from those applied in randomized controlled trials, making real-world studies a useful tool to assess the generalizability of trial results to broader, non-trial patient populations (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>Preclinical models have supported the use of platinum agents in the basal TNBC subtype (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Addition of platinum agents to anthracycline and taxane consistently increased the pCR rates in clinical trials (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). Consequently, most oncologists have incorporated platinum agents into NAC regimens. However, these neoadjuvant trials were not powered to evaluate DFS or OS benefits. The results of the phase III EA1131 trial, which included patients with clinical stage II or III TNBC (basal vs. non-basal) and &#x2265;1 cm residual disease in the breast post-NAC, demonstrated that adjuvant platinum agents did not improve outcomes and were associated with greater toxicity compared to capecitabine (<xref ref-type="bibr" rid="B26">26</xref>). Given that chemotherapy-based treatment may have reached the limit of its efficacy, novel therapeutic approaches are being explored for specific TNBC subgroups, particularly those with PD-L1-positive tumors or germline pathogenic BRCA mutations. However, only a fraction of these patients responds to immune checkpoint inhibitors (ICIs) or poly (ADP-ribose) polymerase (PARP) inhibitors, and even among responders, resistance and relapse frequently occur. The phase III Keynote-522 study demonstrated that the addition of pembrolizumab to NAC resulted in a statistically significant improvement in pCR rates, event-free survival, and OS (<xref ref-type="bibr" rid="B27">27</xref>). Another example is the phase III OlympiA trial, which included patients with HER2-negative early breast cancer with high-risk clinicopathological features and germline BRCA1 or BRCA2 pathogenic mutations who had received local treatment and neoadjuvant or adjuvant chemotherapy. The study compared one year of olaparib versus placebo, with most participants (81%) having TNBC. Patients who received olaparib had significantly improved distant DFS and OS, particularly among those who did not achieve a pCR. Notably, post-neoadjuvant capecitabine was not permitted in this trial, leaving the relative efficacy of olaparib compared to capecitabine in this setting unknown (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>Subgroup analyses of the CREATE-X or GEICAM studies did not include germline BRCA mutation status, leaving the effect of adjuvant capecitabine in this population largely undefined. A correlative analysis of the GEICAM study, showed a decreased benefit from capecitabine in patients with basal-like tumors, which comprise the majority (~90%) of germline BRCA mutated breast cancer (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Moreover, both a prespecified correlative analysis of the GEICAM/CIBOMA trial and findings from the EA1131 study suggest that patients with non-basal early-stage TNBC are more likely to derive benefit from adjuvant capecitabine (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>In our exploratory analysis, which grouped various germline mutations&#x2014;predominantly BRCA1/2&#x2014;we observed a trend toward improved outcomes among mutation carriers who achieved a pathological complete response (pCR), compared to non-carriers who also achieved a pCR.</p>
<p>Conversely, patients who failed to achieve a pCR exhibited poorer survival outcomes, regardless of germline mutation status or receipt of adjuvant capecitabine.</p>
<p>These findings should be interpreted with caution given the limited sample size, which may have restricted the ability to detect significant differences between subgroups. An increased sample size is necessary to determine whether our results are consistent with previously published findings in this setting.</p>
<p>Finally, our study has several limitations. As a retrospective study, establishing causal relationships is challenging due to the potential presence of unmeasured confounding factors. The lack of randomization may introduce biases that compromise the validity of the results, which are difficult to mitigate or correct. One potential limitation of our study is the temporal difference among the cohorts C1-C2 vs C3. This temporal gap may reflect improvements in diagnostic tools, surgical techniques and systemic treatments, which could have influenced patient outcomes. However, we attempted to minimize this potential bias by including clinicopathological and treatment-related variables in the multivariate model to adjust for possible confounders.</p>
<p>We believe that our findings provide relevant insights into the potential utility&#x2014;or lack thereof&#x2014;of adjuvant capecitabine in TNBC patients with residual disease (RD) after NAC in real-world settings. This is supported by the significant number of patients analyzed, the comparable clinico-pathological characteristics, and the similar NAC regimens used in Cohorts 2 and 3, along with an adequate follow-up period.</p>
<p>The visual differences observed in the Kaplan-Meier curves between Cohorts 2 and 3 in terms of OS may be attributed to differences in follow-up duration, as Cohort 3 had a shorter follow-up period than Cohort 2. With extended follow-up, the OS curve may more closely resemble the DFS curve, which are nearly overlapping.</p>
<p>In conclusion, adjuvant capecitabine may not provide a survival benefit for all TNBC patients with RD after NAC. A deeper understanding of distinct biological subtypes and molecular characteristics within RD will enable more personalized treatment decisions, optimizing therapeutic strategies for each patient subgroup while minimizing unnecessary toxicities.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p></sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies involving humans because this retrospective study was conducted using previously collected and anonymized data; therefore, in accordance with current regulations, ethical committee approval was not required. 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 id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>AG-O: Conceptualization, Data curation, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. GL-S: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MZ: Conceptualization, Data curation, Investigation, Methodology, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JP: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Project administration, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. AL-P: Data curation, Methodology, Supervision, Validation, Writing &#x2013; review &amp; editing. AC: Conceptualization, Data curation, Methodology, Validation, Writing &#x2013; review &amp; editing. NR: Data curation, Methodology, Project administration, Supervision, Writing &#x2013; review &amp; editing. MI: Data curation, Investigation, Validation, Writing &#x2013; review &amp; editing. EV: Data curation, Validation, Writing &#x2013; review &amp; editing. BP: Data curation, Validation, Writing &#x2013; review &amp; editing. TD-R: Data curation, Investigation, Methodology, Supervision, Writing &#x2013; review &amp; editing. MD-R: Data curation, Validation, Writing &#x2013; review &amp; editing. FC: Data curation, Methodology, Supervision, Writing &#x2013; review &amp; editing. MB: Data curation, Supervision, Writing &#x2013; review &amp; editing. AR-D: Data curation, Methodology, Supervision, Writing &#x2013; review &amp; editing. EA: Data curation, Investigation, Methodology, Supervision, Validation, Writing &#x2013; review &amp; editing. AS-M: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2025.1648272/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2025.1648272/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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