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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1624386</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Efficacy and safety of Sacituzumab govitecan in solid tumors: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yaping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Jian</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Xiaoyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xiaoli</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hong</surname>
<given-names>Jianfeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fang</surname>
<given-names>Hongming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1489178/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Oncology, Affliated Xiaoshan Hospital, Hangzhou Normal University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of GCP, Affiliated Xiaoshan Hospital, Hangzhou Normal University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Sharon R. Pine, University of Colorado Anschutz Medical Campus, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: William Kelly, The University of Texas Health Science Center at San Antonio, United States</p>
<p>Kang Qin, University of Texas MD Anderson Cancer Center, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Hongming Fang, <email xlink:href="mailto:fanghongming0412@163.com">fanghongming0412@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1624386</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhang, Chen, Wang, Wang, Chen, Hong and Fang</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhang, Chen, Wang, Wang, Chen, Hong and Fang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Sacituzumab govitecan (SG) is an antibody-drug conjugate (ADC) that targets trophoblast cell-surface antigen 2 and is conjugated to SN-38, a potent topoisomerase I inhibitor. SG has demonstrated promising activity against various solid tumors. However, comprehensive evaluations of its efficacy and safety remain limited, and outcomes across studies have shown inconsistency. This systematic review and meta-analysis aimed to assess the therapeutic efficacy and associated adverse events (AEs) of SG in the treatment of solid tumors.</p>
</sec>
<sec>
<title>Methods</title>
<p>A systematic search of PubMed, Embase, and the Cochrane Library was conducted to identify randomized controlled trials (RCTs) and single-arm studies published up to February 14, 2025. The primary outcomes included overall response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), and treatment-related AEs.</p>
</sec>
<sec>
<title>Results</title>
<p>Five RCTs comparing SG with chemotherapy were included in the analysis. SG significantly improved OS (risk ratio [RR] = 0.720; 95% confidence interval [CI]: 0.587&#x2013;0.882; P = 0.002), PFS (RR = 0.682; 95% CI: 0.516&#x2013;0.901; P = 0.007), and DCR (RR = 1.286; 95% CI: 1.034&#x2013;1.599; P = 0.024). However, higher incidences of neutropenia, leukopenia, diarrhea, and anemia were observed in the SG group. In the single-arm meta-analysis, 16 cohorts from five trials were included. The pooled ORR was 21% (95% CI: 16%&#x2013;27%), DCR was 62% (95% CI: 56%&#x2013;69%), and the clinical benefit rate was 33% (95% CI: 26%&#x2013;39%). The median pooled PFS, duration of response, and OS were 4.41 months (95% CI: 3.61&#x2013;5.22 months), 7.40 months (95% CI: 5.99&#x2013;8.82 months), and 10.29 months (95% CI: 7.75&#x2013;12.83 months), respectively.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Although SG demonstrates superior OS, PFS, and DCR compared to chemotherapy in patients with solid tumors, this benefit is accompanied by an increased risk of specific adverse events. Subgroup analyses indicate that SG confers a more substantial clinical benefit in breast and urothelial cancers than in other tumor types.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Sacituzumab govitecan</kwd>
<kwd>solid tumors</kwd>
<kwd>breast cancer</kwd>
<kwd>lung cancer</kwd>
<kwd>urothelial cancer</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="29"/>
<page-count count="15"/>
<word-count count="5598"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Molecular Targets and Therapeutics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Cytotoxic chemotherapies have long been the cornerstone of cancer treatment (<xref ref-type="bibr" rid="B1">1</xref>). However, their effectiveness is constrained by a narrow therapeutic index, resulting in significant off-target toxicity due to non-specific drug distribution (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). To overcome these limitations and improve clinical outcomes, molecularly targeted therapies&#x2014;particularly antibody-drug conjugates (ADCs)&#x2014;have emerged as a promising alternative.</p>
<p>ADCs combine the target specificity of monoclonal antibodies with the cytotoxic potency of chemotherapeutic agents, linked via a chemical linker. This design allows for the selective delivery of cytotoxic agents to tumor-specific antigens, thereby enhancing therapeutic efficacy while reducing systemic toxicity&#x2014;advantages that conventional chemotherapy cannot offer (<xref ref-type="bibr" rid="B4">4</xref>). Several ADCs have received approval from the United States Food and Drug Administration (FDA) for the treatment of cancer (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Among these, sacituzumab govitecan (SG) has demonstrated notable efficacy in breast, lung, urothelial, gastric, and other solid tumors (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). SG targets trophoblast cell-surface antigen 2 (Trop-2), a protein frequently overexpressed in aggressive tumors and associated with poor prognosis (<xref ref-type="bibr" rid="B10">10</xref>). It delivers SN-38, a potent topoisomerase I inhibitor, directly to Trop-2&#x2013;expressing cancer cells, thereby minimizing damage to normal tissues (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). SG was the first Trop-2&#x2013;targeting ADC to receive regulatory approval. In April 2020, the FDA granted accelerated approval for SG in patients with metastatic triple-negative breast cancer who had received at least two prior systemic therapies, based on phase I/II trials demonstrating a high overall response rate (ORR) and durable clinical benefit (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B13">13</xref>). A second accelerated approval followed in April 2021 for patients with locally advanced or metastatic urothelial carcinoma who had progressed after platinum-based chemotherapy and PD-1/PD-L1 inhibitor therapy (<xref ref-type="bibr" rid="B14">14</xref>). Despite these important milestones, SG&#x2019;s clinical profile remains under evaluation. Some studies have reported higher incidences of grade &#x2265;3 treatment-emergent adverse events (TEAEs) compared to conventional chemotherapy (<xref ref-type="bibr" rid="B15">15</xref>). Therefore, a thorough assessment of SG&#x2019;s efficacy and safety is warranted. This study presents a meta-analysis of clinical trials evaluating SG across various solid tumors. Key outcomes include ORR, disease control rate (DCR), progression-free survival (PFS), overall survival (OS), and adverse events (AEs), with the aim of providing evidence-based guidance to inform clinical decision-making.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Search strategy</title>
<p>A systematic review and meta-analysis were conducted to evaluate the efficacy and safety of SG in solid tumors. Comprehensive literature searches were performed in PubMed, Embase, and the Cochrane Library for English-language publications available up to February 14, 2025. No restrictions were applied regarding the year of publication. Case reports, case series, and review articles were excluded. The search strategy included the following terms: &#x201c;Sacituzumab Govitecan,&#x201d; &#x201c;Sacituzumab Govitecan-hziy,&#x201d; &#x201c;IMMU-132,&#x201d; &#x201c;Trodelvy,&#x201d; &#x201c;GW786034,&#x201d; &#x201c;cancer,&#x201d; and &#x201c;tumor.&#x201d;</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Inclusion and exclusion criteria</title>
<p>Studies were included if they met the following criteria: (1) prospective phase 1&#x2013;3 clinical trials evaluating SG in adults with histologically confirmed solid tumors; (2) randomized controlled trials (RCTs) comparing SG with chemotherapy; (3) single-arm trials assessing SG as monotherapy; (4) reporting of at least two of the following outcomes, including OS, PFS, ORR, and DCR; (5) reporting of grade &#x2265;3 TEAEs as secondary outcomes; (6) when multiple reports were available from the same study, the most recent or comprehensive report was selected; and (7) availability of full-text articles published in English. Exclusion criteria were as follows: (1) retrospective studies; (2) <italic>in vitro</italic> or <italic>in vivo</italic> preclinical research; (3) case reports or case series, or studies with fewer than 10 participants; (4) non-English publications; (5) studies evaluating SG in combination with other therapeutic agents; and (6) studies with insufficient data or lack of full-text access.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Literature screening and data extraction</title>
<p>Titles and abstracts were independently screened by two investigators (Y.P. Zhang and J. Chen) based on predefined inclusion and exclusion criteria. Discrepancies were resolved through discussion, and any unresolved cases were adjudicated by a third reviewer (H.M. Fang) through majority consensus. When abstracts lacked sufficient information to determine eligibility or did not contain relevant data, full-text articles were reviewed.</p>
<p>Following study selection, data were extracted on key study characteristics, including the first author, year of publication, sample size, patient age, tumor type, prior treatments, study design, and primary outcomes. Extracted outcomes included OS, PFS, ORR, DCR, and TEAEs of grade &#x2265;3. Data were obtained from both the main text and <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Materials</bold>
</xref>.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Quality assessment</title>
<p>The methodological quality of the included RCTs was independently assessed by two reviewers (X.Y. Wang and H. Wang). Any disagreements were resolved through consensus or, if necessary, by consultation with a third reviewer (X.L. Chen). The assessment was conducted using the Cochrane Risk of Bias Tool, as outlined in the Cochrane Handbook for Systematic Reviews of Interventions (<xref ref-type="bibr" rid="B16">16</xref>). Risk of bias was evaluated across the following domains: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other potential sources of bias. Each domain was classified as having a low, high, or unclear risk of bias. A visual summary of the risk of bias was generated using Review Manager (RevMan) version 5.4 (The Nordic Cochrane Centre, The Cochrane Collaboration, Copenhagen, 2020).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Statistical analyses were conducted using Stata version 12.0 (StataCorp, College Station, TX, USA). Dichotomous outcomes, including ORR and DCR, were analyzed using relative risks (RRs), while hazard ratios (HRs) with 95% confidence intervals (CIs) were extracted for OS and PFS. Pooled HRs were estimated using either fixed-effects or random-effects models, depending on the degree of heterogeneity among studies. Heterogeneity was evaluated using the I<sup>2</sup> statistic and the Chi-squared test, with I<sup>2</sup> &#x2265; 50% considered indicative of substantial heterogeneity. A random-effects model was employed when significant heterogeneity was detected (I<sup>2</sup> &gt; 50% or P &lt; 0.05); otherwise, a fixed-effects model was applied (<xref ref-type="bibr" rid="B17">17</xref>). Publication bias was assessed using Begg&#x2019;s test and visual inspection of funnel plots. A two-tailed P value &lt; 0.05 was considered statistically significant (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Literature selection</title>
<p>Using the predefined search strategy, a total of 1,712 studies published between March 2015 and February 14, 2025, were identified. After title and abstract screening, 116 full-text articles were assessed for eligibility. Ten studies met the inclusion criteria: five RCTs were included in the comparative meta-analysis, and five phase I&#x2013;II trials were included in the single-arm analysis. The study selection process is illustrated in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The flowchart of the study selection process for the meta-analysis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1624386-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating the selection process for a systematic review and meta-analysis. Initially, 1,065 records were identified through databases. After excluding 208 duplicates, 857 records underwent title and abstract screening. Subsequently, 465 records were excluded for various reasons, including 223 review articles, 12 case reports, 74 retrospective studies, 69 preclinical studies, and 87 other reasons. This left 392 full-text articles to be assessed, resulting in 21 studies included for the final analysis.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>RCTs</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>General characteristics of included RCTs</title>
<p>This meta-analysis included five phase III RCTs comprising a total of 2,717 patients&#x2014;1,359 treated with SG and 1,358 with chemotherapy (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B19">19</xref>). The studies focused on three tumor types: non-small cell lung cancer (NSCLC) (<xref ref-type="bibr" rid="B8">8</xref>), urothelial carcinoma (UC) (<xref ref-type="bibr" rid="B9">9</xref>), and breast cancer (BC), including both triple-negative and hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2-) subtypes (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B19">19</xref>). In all trials, SG was compared with the physician&#x2019;s choice of single-agent chemotherapy. The EVOKE-01 trial used docetaxel as the comparator (<xref ref-type="bibr" rid="B8">8</xref>), while the remaining studies included eribulin, vinorelbine, capecitabine, gemcitabine, or vinflunine (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Key study characteristics and main outcomes are presented separately in <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref> and <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the five RCTs included in the meta-analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">First author (year)</th>
<th valign="middle" align="center">Identifier/ registration</th>
<th valign="middle" align="center">Study design</th>
<th valign="middle" align="center">Study phase</th>
<th valign="middle" align="center">Cancer</th>
<th valign="middle" align="center">Treatment group (No.)</th>
<th valign="middle" align="center">Control group (No.)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Bardia (<xref ref-type="bibr" rid="B7">7</xref>)</td>
<td valign="middle" align="center">ASCENT/<break/>NCT02574455</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">metastatic triple-negative breast cancer</td>
<td valign="middle" align="center">sacituzumab govitecan (267)</td>
<td valign="middle" align="center">eribulin, vinorelbine, capecitabine, or gemcitabine (262)</td>
</tr>
<tr>
<td valign="middle" align="center">Rugo (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="middle" align="center">TROPiCS-02/<break/>NCT03901339</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">HR+ HER2- locally recurrent inoperable or metastatic breast cancer</td>
<td valign="middle" align="center">sacituzumab govitecan (272)</td>
<td valign="middle" align="center">eribulin, vinorelbine, capecitabine, or gemcitabine (271)</td>
</tr>
<tr>
<td valign="middle" align="center">Xu (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="middle" align="center">EVER-132-002/<break/>NCT04639986</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">HR+ HER2- metastatic breast cancer</td>
<td valign="middle" align="center">sacituzumab govitecan (166)</td>
<td valign="middle" align="center">eribulin, vinorelbine, capecitabine, or gemcitabine (165)</td>
</tr>
<tr>
<td valign="middle" align="center">Paz-Ares (<xref ref-type="bibr" rid="B8">8</xref>)</td>
<td valign="middle" align="center">EVOKE-01/<break/>NCT05089734</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">metastatic non&#x2013;small cell lung cancer</td>
<td valign="middle" align="center">sacituzumab govitecan (299)</td>
<td valign="middle" align="center">docetaxel (304)</td>
</tr>
<tr>
<td valign="middle" align="center">Powles (<xref ref-type="bibr" rid="B9">9</xref>)</td>
<td valign="middle" align="center">TROPiCS-04/<break/>NCT04527991</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">locally advanced unresectable or metastatic urothelial carcinoma</td>
<td valign="middle" align="center">sacituzumab govitecan (355)</td>
<td valign="middle" align="center">paclitaxel, docetaxel, or vinflunine (356)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>RCT, randomized controlled trial; No., number; HR, hormone receptor; HER2, human epidermal growth factor receptor 2.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Summary of main outcomes of the included RCTs.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">First author (year)</th>
<th valign="middle" align="center">Comparator</th>
<th valign="middle" align="center">Age (range)</th>
<th valign="middle" align="center">Previous systemic regimens, No., median (range)</th>
<th valign="middle" align="center">Patients (n)</th>
<th valign="middle" align="center">Response RECIST (n)</th>
<th valign="middle" align="center">PFS (mo)</th>
<th valign="middle" align="center">PFS HR (95% CI)</th>
<th valign="middle" align="center">OS (mo)</th>
<th valign="middle" align="center">OS HR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Bardia (<xref ref-type="bibr" rid="B7">7</xref>)</td>
<td valign="middle" align="center">SG</td>
<td valign="middle" align="center">54 (27-82)</td>
<td valign="middle" align="center">4 (2-17)</td>
<td valign="middle" align="center">267</td>
<td valign="middle" align="left">CR:10 PR:73<break/>SD:96 PD:65</td>
<td valign="middle" align="center">4.8</td>
<td valign="middle" rowspan="2" align="center">0.41 (0.33-0.52)</td>
<td valign="middle" align="center">11.8</td>
<td valign="middle" rowspan="2" align="center">0.5 (0.42-0.63)</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Chemotherapy</td>
<td valign="middle" align="center">53 (27-81)</td>
<td valign="middle" align="center">4 (2-14)</td>
<td valign="middle" align="center">262</td>
<td valign="middle" align="left">CR:2 PR:9<break/>SD:71 PD:100</td>
<td valign="middle" align="center">1.7</td>
<td valign="middle" align="center">6.9</td>
</tr>
<tr>
<td valign="middle" align="center">Rugo (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="middle" align="center">SG</td>
<td valign="middle" align="center">57 (49&#x2013;65)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">272</td>
<td valign="middle" align="left">CR:2 PR:55<break/>SD:142 PD:58<break/>NE:15</td>
<td valign="middle" align="center">5.5</td>
<td valign="middle" rowspan="2" align="center">0&#xb7;66 (0&#xb7;53&#x2013;0&#xb7;83)</td>
<td valign="middle" align="center">14.4</td>
<td valign="middle" rowspan="2" align="center">0.79 (0&#xb7;65&#x2013;0&#xb7;96)</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Chemotherapy</td>
<td valign="middle" align="center">55 (48&#x2013;63)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">271</td>
<td valign="middle" align="left">CR:0 PR:38<break/>SD:106 PD:76<break/>NE:51</td>
<td valign="middle" align="center">4.0</td>
<td valign="middle" align="center">11.2</td>
</tr>
<tr>
<td valign="middle" align="center">Xu (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="middle" align="center">SG</td>
<td valign="middle" align="center">53(32-72)</td>
<td valign="middle" align="center">2 (1&#x2013;4)</td>
<td valign="middle" align="center">166</td>
<td valign="middle" align="left">CR:2 PR:32<break/>SD:93 PD:36<break/>NE:3</td>
<td valign="middle" align="center">4.3</td>
<td valign="middle" rowspan="2" align="center">0.67 (0.52&#x2013;0.87)</td>
<td valign="middle" align="center">21.0</td>
<td valign="middle" rowspan="2" align="center">0.64 (0.47&#x2013;0.88)</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Chemotherapy</td>
<td valign="middle" align="center">51(28-79)</td>
<td valign="middle" align="center">2 (1&#x2013;4)</td>
<td valign="middle" align="center">165</td>
<td valign="middle" align="left">CR:0 PR:25<break/>SD:82 PD:45<break/>NE:13</td>
<td valign="middle" align="center">4.2</td>
<td valign="middle" align="center">15.3</td>
</tr>
<tr>
<td valign="middle" align="center">Paz-Ares (<xref ref-type="bibr" rid="B8">8</xref>)</td>
<td valign="middle" align="center">SG</td>
<td valign="middle" align="center">66 (31-84)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">299</td>
<td valign="middle" align="left">CR:0 PR:41<break/>SD:161 PD:66<break/>NE:31</td>
<td valign="middle" align="center">4.1</td>
<td valign="middle" rowspan="2" align="center">0.92 (0.77-1.11)</td>
<td valign="middle" align="center">11.1</td>
<td valign="middle" rowspan="2" align="center">0.84 (0.68-1.04)</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="center">Chemotherapy</td>
<td valign="middle" align="center">64 (32-83)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">304</td>
<td valign="middle" align="left">CR:3 PR:52<break/>SD:149 PD:64<break/>NE:36</td>
<td valign="middle" align="center">3.9</td>
<td valign="middle" align="center">9.8</td>
</tr>
<tr>
<td valign="middle" align="center">Powles (<xref ref-type="bibr" rid="B9">9</xref>)</td>
<td valign="middle" align="center">SG</td>
<td valign="middle" align="center">67 (41-89)</td>
<td valign="middle" align="center">2 (1-7)</td>
<td valign="middle" align="center">355</td>
<td valign="middle" align="left">CR:19 PR:61<break/>SD:151 PD:75<break/>NE:49</td>
<td valign="middle" align="center">4.2</td>
<td valign="middle" rowspan="2" align="center">0.86 (0.72-1.03)</td>
<td valign="middle" align="center">10.3</td>
<td valign="middle" rowspan="2" align="center">0.86 (0.73-1.02)</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="center">Chemotherapy</td>
<td valign="middle" align="center">68 (30-85)</td>
<td valign="middle" align="center">2 (1-6)</td>
<td valign="middle" align="center">356</td>
<td valign="middle" align="left">CR:9 PR:40<break/>SD:170 PD:77<break/>NE:60</td>
<td valign="middle" align="center">3.6</td>
<td valign="middle" align="center">9.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SG, Sacituzumab govitecan; PFS, progression-free survival; OS, overall survival; HR, hazard ratio; CI, confidence interval; n, number; mo, months; CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease; NE, not evaluable.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Study quality and risk of bias</title>
<p>All five RCTs reported outcomes including OS, PFS, ORR, DCR and TEAEs (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Performance bias was the most frequently identified concern. The overall risk of bias assessment is presented in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Risk of bias. <bold>(A)</bold> Summary: review authors&#x2019; judgments about each risk of bias item for each included RCT. <bold>(B)</bold> Graph: review authors&#x2019; judgments about each risk of bias item presented as percentages across all RCTs.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1624386-g002.tif">
<alt-text content-type="machine-generated">Panel A shows a risk of bias summary for five studies, with color-coded circles indicating varying risks. Panel B is a risk of bias graph with bars for each bias type. Green indicates low risk, yellow unclear risk, and red high risk.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>OS and PFS</title>
<p>Each RCT reported HRs and 95% CIs for OS and PFS (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Substantial heterogeneity was identified for both OS (P = 0.001, I<sup>2</sup> = 78.6%) and PFS (P &lt; 0.001, I<sup>2</sup> = 88.6%). To investigate potential sources of heterogeneity, subgroup analyses were performed based on tumor type (breast cancer vs. other malignancies), median patient age (&#x2265;60 years vs. &lt;60 years), number of prior systemic treatment lines (&gt;2 vs. &#x2264;2), control group treatment modality (physician&#x2019;s choice vs. docetaxel), and sample size (&gt;540 vs. &#x2264;540). The analysis suggested that heterogeneity in OS was significantly associated with sample size (between-group heterogeneity: P = 0.001), whereas no significant associations were observed for the other variables. In contrast, heterogeneity in PFS appeared to be influenced by tumor type (P = 0.01), median age (P = 0.01), and control group treatment modality (P = 0.044).</p>
<p>Despite the observed heterogeneity, SG demonstrated clear superiority over chemotherapy, significantly improving both OS (RR = 0.720; 95% CI: 0.587&#x2013;0.882; P = 0.002) and PFS (RR = 0.682; 95% CI: 0.516&#x2013;0.901; P = 0.007).</p>
<p>Subgroup analysis further revealed that patients with BC derived the most substantial benefit from SG, with significantly prolonged OS (RR = 0.637; 95% CI: 0.478&#x2013;0.849; P = 0.002) and PFS (RR = 0.565; 95% CI: 0.409&#x2013;0.779; P &lt; 0.001). Pooled survival outcomes are illustrated in <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A and B</bold>
</xref>.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The forest plot comparing of PFS, OS, ORR, DCR between SG and chemotherapy. <bold>(A)</bold> OS, <bold>(B)</bold> PFS, <bold>(C)</bold> ORR, <bold>(D)</bold> DCR.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1624386-g003.tif">
<alt-text content-type="machine-generated">Forest plot showing five studies on their effect size (ES) with 95% confidence intervals (CI). Subgroups display heterogeneity with I-squared values of 78.5% and 0.0%. Overall ES is 0.72, I-squared 78.6%. Weights are from random effects analysis.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2_4">
<label>3.2.4</label>
<title>ORR and DCR</title>
<p>All five RCTs reported data on ORR and DCR (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Significant heterogeneity was identified for both ORR (P &lt; 0.001, I<sup>2</sup> = 90.4%) and DCR (P &lt; 0.01, I<sup>2</sup> = 92.5%). To investigate potential sources of this heterogeneity, subgroup analyses were conducted based on the same five factors used in the analyses of OS and PFS: tumor type, median patient age, number of prior systemic therapy lines, control group treatment modality, and sample size. The findings indicated that heterogeneity in ORR may be attributable to the control group treatment modality (between-group heterogeneity: P = 0.004). In contrast, heterogeneity in DCR appeared to be associated with tumor type (P = 0.019), median age (P = 0.019), number of prior systemic therapies (P = 0.038), and control group treatment modality (P = 0.030).</p>
<p>Although SG did not significantly improve ORR compared to chemotherapy (RR = 1.737; 95% CI: 0.961&#x2013;3.138; P = 0.067), it was associated with a significantly higher DCR (RR = 1.286; 95% CI: 1.034&#x2013;1.599; P = 0.024). Forest plots for these outcomes are shown in <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3C, D</bold>
</xref>.</p>
<p>Subgroup analysis in patients with BC showed no significant improvement in ORR (RR = 2.406; 95% CI: 0.920&#x2013;6.291; P = 0.073), but a significant increase in DCR (RR = 1.504; 95% CI: 1.095&#x2013;2.066; P = 0.012).</p>
</sec>
<sec id="s3_2_5">
<label>3.2.5</label>
<title>Treatment-emergent adverse events</title>
<p>Grade &#x2265;3 TEAEs were analyzed to evaluate the safety profile. When all five RCTs were combined, substantial heterogeneity was observed, likely attributable to differences in the control chemotherapy regimens. Specifically, while ASCENT (<xref ref-type="bibr" rid="B7">7</xref>), TROPiCS-02 (<xref ref-type="bibr" rid="B15">15</xref>), EVER-132&#x2013;002 (<xref ref-type="bibr" rid="B19">19</xref>), and TROPiCS-04 (<xref ref-type="bibr" rid="B9">9</xref>) permitted physician&#x2019;s choice of chemotherapy, EVOKE-01 (<xref ref-type="bibr" rid="B8">8</xref>) exclusively used docetaxel. Removing EVOKE-01 from the analysis significantly reduced the heterogeneity of some TEAEs (especially diarrhea and anemia). Meanwhile, sensitivity analyses found that EVOKE-01 has the largest offset, especially in neutropenia and leukopenia groups. Therefore, the pooled safety analysis was based on the remaining four trials.</p>
<p>SG was associated with a significantly increased risk of neutropenia (RR = 1.606; 95% CI: 1.115&#x2013;2.314; P = 0.011), leukopenia (RR = 1.731; 95% CI: 1.029&#x2013;2.912; P = 0.039), diarrhea (RR = 6.592; 95% CI: 4.025&#x2013;10.797; P &lt; 0.001), and anemia (RR = 2.004; 95% CI: 1.499&#x2013;2.679; P&#xa0;&lt;&#xa0;0.001). These results are summarized in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The forest plot comparing of TEAEs between SG and chemotherapy. <bold>(A)</bold> neutropenia, <bold>(B)</bold> leukopenia, <bold>(C)</bold> diarrhea, <bold>(D)</bold> anemia.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1624386-g004.tif">
<alt-text content-type="machine-generated">Forest plot displaying effect sizes with 95% confidence intervals for multiple studies. Studies by Bardia, Rugo, Xu, Paz-Ares, and T. Powles are shown, with their respective effect sizes and weights. Overall effect size is 0.68 (95% CI: 0.52, 0.90). The dashed line represents the line of no effect. Heterogeneity statistics: I-squared 82.1% and 0.0% for subtotals, and 88.6% overall. Weights are from random effects analysis.</alt-text>
</graphic>
</fig>
<p>Subgroup analysis indicated that patients with UC had higher incidences of neutropenia and leukopenia, while those with BC were more likely to experience diarrhea (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
</sec>
<sec id="s3_2_6">
<label>3.2.6</label>
<title>Publication bias</title>
<p>Publication bias was assessed using Begg&#x2019;s funnel plots and Egger&#x2019;s test across the five included studies. The funnel plots demonstrated no apparent asymmetry, and Egger&#x2019;s test revealed no statistically significant evidence of publication bias (P &gt; 0.05; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Funnel plot of odds ratio for the included studies.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1624386-g005.tif">
<alt-text content-type="machine-generated">Forest plot showing risk ratios (RR) with 95% confidence intervals for various studies. Studies listed include Bardia (2024), Rugo (2023), Xu (2024), Paz-Ares (2024), and T Powles (2025). The plot includes two subtotals and an overall estimate. Weights from random effects analysis are noted. Each study's confidence interval is depicted with a horizontal line, and diamonds represent the pooled estimates. The overall estimator line crosses at 1.74 with a confidence interval of 0.96 to 3.14.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Single-arm trials</title>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>General characteristics</title>
<p>Sixteen single-arm studies (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>) derived from five clinical trials were included, comprising a total of 769 patients. The IMMU-132&#x2013;01 basket trial contributed ten subgroups (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B20">20</xref>), while TROPHY-U-01 (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>) and TROPiCS-03 (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>) each contributed two. The tumor types included four subgroups of BC (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>), three of UC (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>), two of small cell lung cancer (SCLC) (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B26">26</xref>), and two of endometrial cancer (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Additional subgroups from IMMU-132&#x2013;01 (<xref ref-type="bibr" rid="B10">10</xref>) included NSCLC, colorectal, esophageal, pancreatic, and prostate cancers. All studies reported ORR and DCR. Clinical benefit rate (CBR) was available for all studies except ASCENT J02 (<xref ref-type="bibr" rid="B22">22</xref>). PFS was reported in 13 studies (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>), OS in 11 (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>), and duration of response (DOR) in eight (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Key study characteristics are summarized in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>General characteristics and main outcomes of the included single-arm trials.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">First author (year)</th>
<th valign="middle" align="center">Identifier/ registration</th>
<th valign="middle" align="center">Study design</th>
<th valign="middle" align="center">Cancer (number)</th>
<th valign="middle" align="center">Median duration of treatment (mo)</th>
<th valign="middle" align="center">Previous anticancer regimens number (range)</th>
<th valign="middle" align="center">Outcome</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Bardia (<xref ref-type="bibr" rid="B13">13</xref>) <sup>a</sup>
</td>
<td valign="middle" rowspan="10" align="center">IMMU-132-01 Basket Trial/<break/>NCT01631552</td>
<td valign="middle" rowspan="10" align="center">1/2</td>
<td valign="middle" align="center">mTNBC (108)</td>
<td valign="middle" align="center">3.7 (range: 0&#x2013;55.2)</td>
<td valign="middle" align="center">3 (2&#x2013;10)</td>
<td valign="middle" align="left">The ORR was 33.3%, median DOR was 7.7 months (95% CI: 4.9&#x2013;10.8), the CBR was 45.4%.<break/>Median PFS was 5.5 months (95% CI: 4.1 to 6.3), and OS was 13.0 months (95% CI: 11.2 to 13.7).</td>
</tr>
<tr>
<td valign="middle" align="center">Kalinsky (<xref ref-type="bibr" rid="B20">20</xref>) <sup>b</sup>
</td>
<td valign="middle" align="center">Breast cancer (HR+ and HER2&#x2212;/+) (54)</td>
<td valign="middle" align="center">4.6 (range: 0.0&#x2013;29.4)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="left">The ORR was 31.5%, median DOR was 8.7 months (95% CI: 3.7&#x2013;12.7).<break/>Median PFS was 5.5 months (95% CI: 3.6&#x2013; 7.6), and median OS was 12 months (95% CI: 9.0&#x2013;18.2).</td>
</tr>
<tr>
<td valign="middle" align="center">Bardia (<xref ref-type="bibr" rid="B10">10</xref>) <sup>c</sup>
</td>
<td valign="middle" align="center">Urothelial cancer (45)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">2 (1-6)</td>
<td valign="middle" align="left">The ORR was 28.9%, median DOR was 12.9 months (95% CI: 3.8-22.5), the CBR was 44.4%.<break/>Median PFS was 6.8 months (95% CI: 3.6&#x2013; 9.7), and median OS was 16.8 months (95% CI: 9.0&#x2013;21.9).</td>
</tr>
<tr>
<td valign="middle" align="center">Bardia (<xref ref-type="bibr" rid="B10">10</xref>) <sup>d</sup>
</td>
<td valign="middle" align="center">SCLC (62)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">2 (1-7)</td>
<td valign="middle" align="left">The ORR was 17.7%, the CBR was 24.2%, DOR was 5.7 months (95% CI: 3.6&#x2013;19.9).<break/>Median PFS was 3.7 months (95% CI: 2.1- 4.8), median OS was 7.1 months (95% CI: 5.6-8.1).</td>
</tr>
<tr>
<td valign="middle" align="center">Bardia (<xref ref-type="bibr" rid="B10">10</xref>) <sup>e</sup>
</td>
<td valign="middle" align="center">NSCLC(54)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="left">The ORR was 16.7%, the CBR was 24.1%, median DOR was 6.0 (95% CI: 2.5-21.0).<break/>Median PFS was 4.4 months (95% CI: 2.5-5.4), and median OS was 7.3 months (95% CI: 5.6-14.6).</td>
</tr>
<tr>
<td valign="middle" align="center">Bardia (<xref ref-type="bibr" rid="B10">10</xref>) <sup>f</sup>
</td>
<td valign="middle" align="center">Colorectal cancer (31)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="left">The ORR was 3.2%, the CBR was 19.4%, DOR was 9.8 months (95% CI: NR-NR).<break/>Median PFS was 3.9 months (95% CI: 1.9-5.6),and median OS was 14.2 months (95% CI: 6.8-19.1).</td>
</tr>
<tr>
<td valign="middle" align="center">Bardia (<xref ref-type="bibr" rid="B10">10</xref>) <sup>g</sup>
</td>
<td valign="middle" align="center">Esophageal cancer (19)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="left">The ORR was 5.3%, the CBR was 21.1%, DOR was 5.4 months (95% CI: NR-NR).<break/>Median PFS was 3.4 months (95% CI: 1.9-6.0), median OS was 7.2 months (95% CI: 4.9-14.7).</td>
</tr>
<tr>
<td valign="middle" align="center">Bardia (<xref ref-type="bibr" rid="B10">10</xref>) <sup>h</sup>
</td>
<td valign="middle" align="center">Endometrial cancer (18)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="left">The ORR was 22.2%, the CBR was 44.4%.<break/>Median PFS was 3.2 months (95% CI: 1.9-9.4), median OS was 11.9 months (95% CI: 4.7-NC).</td>
</tr>
<tr>
<td valign="middle" align="center">Bardia (<xref ref-type="bibr" rid="B10">10</xref>) <sup>i</sup>
</td>
<td valign="middle" align="center">Pancreatic ductal adenocarcinoma (16)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="left">The ORR was 0%, the CBR was 0%.<break/>Median PFS and OS were 2.0 months (95% CI: 1.1-3.5) and 4.5 months (95% CI: 2.9-7.0).</td>
</tr>
<tr>
<td valign="middle" align="center">Bardia (<xref ref-type="bibr" rid="B10">10</xref>) <sup>j</sup>
</td>
<td valign="middle" align="center">Castrate-resistant prostate (11)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="left">The ORR was 9.1%, the CBR was 27.3%.<break/>Median PFS and OS were all NP.</td>
</tr>
<tr>
<td valign="middle" align="center">Xu (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="middle" align="center">EVER-132-001/<break/>NCT04454437</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">mTNBC (80)</td>
<td valign="middle" align="center">5.59 (95% CI: 5.585&#x2013;NA)</td>
<td valign="middle" align="center">4 (2-8)</td>
<td valign="middle" align="left">The ORR was 38.8%, the CBR was 43.8%, the median DOR was 5.59 months (95% CI: 5.585&#x2013;NA).<break/>Median PFS was 5.55 months (95% CI: 4.14&#x2013;NA), and median OS was not evaluable at the data cutoff date.</td>
</tr>
<tr>
<td valign="middle" align="center">Naito (<xref ref-type="bibr" rid="B22">22</xref>) <sup>k</sup>
</td>
<td valign="middle" align="center">ASCENT J02/NCT05101096</td>
<td valign="middle" align="center">1/2</td>
<td valign="middle" align="center">mTNBC (36)</td>
<td valign="middle" align="center">6.2 (95% CI: 3.1&#x2013;NR)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="left">The confirmed ORR was 25%, median DOR was 6.2 months (95% CI: 3.1&#x2013;NR).<break/>Median PFS was 5.6 months (95% CI: 3.9&#x2013;NR), median OS was not reached at the time of this analysis.</td>
</tr>
<tr>
<td valign="middle" align="center">Tagawa (<xref ref-type="bibr" rid="B23">23</xref>) <sup>l</sup>
</td>
<td valign="middle" rowspan="2" align="center">TROPHY-U-01/<break/>NCT03547973</td>
<td valign="middle" rowspan="2" align="center">2</td>
<td valign="middle" align="center">Urothelial cancer (113)</td>
<td valign="middle" align="center">7.2 (95% CI: 4.7-8.6)</td>
<td valign="middle" align="center">3 (1-8)</td>
<td valign="middle" align="left">The ORR was 27%, the CBR was 37.2%, median DOR was 7.2 months (95% CI: 4.7&#x2013;8.6).<break/>Median PFS and OS were 5.4 months (95% CI: 3.5-7.2) and 10.9 months (95% CI: 9.0-13.8).</td>
</tr>
<tr>
<td valign="middle" align="center">Petrylak (<xref ref-type="bibr" rid="B24">24</xref>) <sup>m</sup>
</td>
<td valign="middle" align="center">Urothelial cancer (38)</td>
<td valign="middle" align="center">5.6 (95% CI: 2.8-13.3)</td>
<td valign="middle" align="center">2 (1-5)</td>
<td valign="middle" align="left">The ORR was 32%, the CBR was 42%, the median DOR was 5.6 months (95% CI: 2.8-13.3).<break/>Median PFS was 5.6 months (95% CI: 4.1-8.3), and median OS was 13.5 months (95% CI: 7.6-15.6).</td>
</tr>
<tr>
<td valign="middle" align="left">Santin (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="middle" rowspan="2" align="left">TROPiCS-03 (IMMU-132-11)/NCT03964727</td>
<td valign="middle" rowspan="2" align="center">2</td>
<td valign="middle" align="center">Endometrial cancer (41)</td>
<td valign="middle" align="center">8.8 (95% CI: 2.8-NE)</td>
<td valign="middle" align="center">3 (1-6)</td>
<td valign="middle" align="left">The ORR was 22%, the CBR was 32%, median DOR was 8.8 months (95% CI: 2.8-NE).<break/>Median PFS was 4.8 months (95% CI: 2.8-9.8), the OS data were not mature at the time of data extraction.</td>
</tr>
<tr>
<td valign="middle" align="left">Dowlati (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="middle" align="center">Extensive-stage-SCLC (43)</td>
<td valign="middle" align="center">12.3 (range: 8.1&#x2013;20.1)</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="left">The ORR was 41.9% (95% CI: 27.0%&#x2013;57.9%), The median DOR was 4.73 months (95% CI: 3.52&#x2013;6.70), the DCR was 83.7%, and the CBR was 48.8%.<break/>Median PFS and OS were 4.40 (95% CI: 3.81&#x2013;6.11) and 13.60 (95% CI: 6.57&#x2013;14.78) months.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>mTNBC, metastatic triple-negative breast cancer; HR, hormone receptor; HER2, human epidermal growth factor receptor 2; SCLC, small cell lung cancer; NSCLC non-small cell lung cancer; NA, not available; NE, not estimable; NC, not calculable; NP, not provided; CI, confidence interval; ORR, overall response rate; DCR, disease control rate; PFS, progression-free survival; OS, overall survival; CBR, clinical benefit rate.</p>
</fn>
<fn>
<p>
<sup>a,b,c,d,e,f,g,h,i,j</sup> Belong to different cohorts of the same clinical study.</p>
</fn>
<fn>
<p>
<sup>k</sup>Only the result of the mTNBC cohort in phase 2 were analyzed.</p>
</fn>
<fn>
<p>
<sup>l,m</sup> Belong to different cohorts of the same clinical study.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>PFS, OS and DOR</title>
<p>The pooled median PFS, calculated using a random-effects model (I<sup>2</sup> = 56.6%, P = 0.006), was 4.40 months (95% CI: 3.68&#x2013;5.11 months). Subgroup analyses showed median PFS values of 5.50 months (95% CI: 4.54&#x2013;6.46 months) for BC, 5.71 months (95% CI: 4.45&#x2013;6.98 months) for UC, and 3.67 months (95% CI: 2.98&#x2013;4.36 months) for other tumor types. The pooled median OS, also estimated using a random-effects model (I<sup>2</sup> = 88.4%, P &lt; 0.001), was 10.58 months (95% CI: 8.16&#x2013;13.00 months). Median OS was 12.93 months (95% CI: 11.72&#x2013;14.14 months) in the BC subgroup and 12.76 months (95% CI: 9.74&#x2013;15.78months) in the UC subgroup. DOR was analyzed using a fixed-effects model (I<sup>2</sup> = 17.7%, P = 0.290), resulting in a pooled median DOR of 6.23 months (95% CI: 5.17&#x2013;7.28 months). The longest median DOR was observed in the BC subgroup at 8.00 months (95% CI: 5.53&#x2013;10.47 months). Forest plots for these outcomes are presented in <xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A&#x2013;C</bold>
</xref>.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The forest plot of related single-arm trials for treating solid tumors with SG. <bold>(A)</bold> PFS, <bold>(B)</bold> OS, <bold>(C)</bold> DOR, <bold>(D)</bold> ORR, <bold>(E)</bold> DCR, <bold>(F)</bold> CBR.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1624386-g006.tif">
<alt-text content-type="machine-generated">Forest plot illustrating meta-analysis results from various studies. It shows relative risk (RR) with 95% confidence intervals for individual studies, grouped into two categories. Diamonds represent summary estimates for each group, with overall RR of 1.29. Weights are from random effects analysis.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>ORR, DCR and CBR</title>
<p>Marked heterogeneity was observed for ORR, DCR, and CBR, as indicated by I<sup>2</sup> values greater than 50% and Q-test p-values less than 0.01. The ORR ranged from 0.00% to 41.86%, with a pooled estimate of 22% (95% CI: 17&#x2013;29%). Subgroup analysis revealed the highest ORR in BC at 33% (95% CI: 28&#x2013;39%), followed by UC at 28% (95% CI: 22&#x2013;35%), and other tumor types at 14% (95% CI: 7&#x2013;24%) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>). The DCR ranged from 40.32% to 83.72%, with a pooled rate of 64% (95% CI: 57&#x2013;71%). Among subgroups, DCR was highest in BC at 75% (95% CI: 67&#x2013;83%), followed by UC at 63% (95% CI: 56&#x2013;70%), and other cancers at 57% (95% CI: 46&#x2013;68%) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6E</bold>
</xref>). The CBR ranged from 0.00% to 48.84%, with a pooled estimate of 34% (95% CI: 27&#x2013;40%). The BC subgroup had the highest CBR at 45% (95% CI: 38&#x2013;51%), followed by UC at 40% (95% CI: 33&#x2013;47%), and other tumor types at 26% (95% CI: 17&#x2013;36%) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6F</bold>
</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>ADCs are currently under investigation for their efficacy and safety in the treatment of solid tumors, both as monotherapy and in combination with other therapeutic agents. Among these, SG has shown particular promise, especially in BC and UC, where it has attracted considerable clinical interest (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Although SG has been evaluated across a broad spectrum of solid malignancies, several recent trials have reported variable outcomes, with some indicating limited therapeutic benefit (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). These heterogeneous findings underscore the need to delineate the tumor types most likely to derive substantial benefit from SG. To address this, we conducted a comprehensive meta-analysis to evaluate the efficacy and safety of SG across multiple solid tumor types.</p>
<p>Our analysis, which included five RCTs comparing SG to standard chemotherapy across various malignancies, demonstrated significant improvements in OS, PFS and DCR. Subgroup analyses revealed that patients with BC derived the greatest clinical benefit, exhibiting both superior short-term response rates and enhanced long-term survival outcomes. In a previous meta-analysis, Qureshi et&#xa0;al. assessed the efficacy of SG in patients with HR+/HER2- advanced BC. Two studies were eligible for inclusion, and the results showed a significant improvement in PFS and DOR, although no significant difference in OS was observed between the SG and control groups (<xref ref-type="bibr" rid="B12">12</xref>). To further explore the therapeutic potential of SG across different malignancies, Sultana et&#xa0;al. evaluated its clinical efficacy in a range of solid tumors, including BC, UC, NSCLC, SCLC, colorectal cancer, pancreatic ductal adenocarcinoma, esophageal cancer, castration-resistant prostate cancer, endometrial cancer, and other epithelial malignancies. The pooled median PFS and OS were 4.9 months (95% CI: 4.0&#x2013;5.8 months) and 9.6 months (95% CI: 7.6&#x2013;11.6 months), respectively (<xref ref-type="bibr" rid="B27">27</xref>). However, only two of the ten studies included in their analysis were RCTs; the remainder comprised cohort studies and one real-world evidence report. While our meta-analysis incorporated only five studies, all were phase 3 RCTs with large sample size, enhancing the robustness and generalizability of our findings. This provides a higher level of evidence and may offer more definitive guidance for clinical decision-making regarding the use of SG in solid tumors.</p>
<p>Given the limited number of RCTs, relevant single-arm studies were also included to supplement the analysis. These studies further supported the observed trends, showing more favorable outcomes with SG in BC and UC compared to other tumor types. However, the inherent limitations of single-arm trials&#x2014;such as the absence of a control group, small sample sizes, and susceptibility to various confounding factors&#x2014;reduce their scientific rigor and confirmatory value relative to RCTs.</p>
<p>Although ADCs are generally perceived as less toxic than traditional chemotherapy, our meta-analysis revealed a higher incidence of AEs associated with SG. The most frequently reported AEs included neutropenia, leukopenia, diarrhea, and anemia. Subgroup analyses suggested differential toxicity profiles among tumor types. In particular, patients with BC appeared more prone to developing diarrhea, whereas those with UC exhibited a higher risk of neutropenia and lymphopenia, warranting heightened clinical vigilance in these populations. Notably, the TROPiCS-04 trial (<xref ref-type="bibr" rid="B9">9</xref>) reported 25 deaths in the SG treatment group, 16 of which were infection-related and occurred in the setting of neutropenia. Fourteen of these deaths occurred within the first month of treatment. All 16 patients had multiple risk factors that would typically warrant primary prophylaxis with granulocyte colony-stimulating factor (G-CSF), including age &#x2265;65 years, prior anticancer therapies, and the presence of multiple comorbidities. Despite this, only two of these patients received primary G-CSF prophylaxis, while nine received it as treatment after neutropenia had developed. These findings underscore the critical importance of early neutrophil monitoring and proactive management of neutropenia during SG therapy, particularly in patients with identifiable risk factors. Efforts have also been made to identify high-risk populations for treatment-related AEs. Given the central role of uridine diphosphate-glucuronosyltransferase family 1 member A1 (UGT1A1) in the metabolism of SN-38, the active metabolite of SG, this enzyme has been the focus of considerable investigation. Several studies have reported that patients homozygous for the UGT1A1<italic>28</italic> allele experience a higher incidence of severe neutropenia compared to non-carriers (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>). The ASCENT trial further suggested the relevance of genotype-directed dosing, as treatment<italic>-</italic>related AEs were more frequent in patients with the UGT1A128/*28 genotype compared to heterozygous or wild-type individuals (<xref ref-type="bibr" rid="B7">7</xref>), indicating that UGT1A1 genotyping may help predict SG-related toxicities. However, a meta-analysis evaluating the association between SG toxicity and UGT1A1 genotype across 11 clinical studies involving various solid tumors found no significant difference in AEs between genotypes. This result may be attributable to the lack of genotype data in more than 50% of the included studies (<xref ref-type="bibr" rid="B28">28</xref>). Therefore, larger, well-designed, genotype-informed studies are necessary to clarify the clinical utility of UGT1A1 testing in predicting SG-related toxicities.</p>
<p>Given the limitations of SG monotherapy in certain tumor types, combination strategies are currently under investigation. These include regimens integrating SG with immune checkpoint inhibitors, other ADCs (<xref ref-type="bibr" rid="B28">28</xref>), and radiotherapy (<xref ref-type="bibr" rid="B29">29</xref>). The results of these ongoing large-scale trials are eagerly anticipated and may provide new avenues to enhance therapeutic efficacy and broaden the clinical applicability of SG.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This systematic review demonstrates that SG provides superior OS, PFS, and DCR compared to standard chemotherapy in patients with solid tumors. To address the limited availability of RCT data, relevant single-arm studies were also included to enhance clinical insight. The findings suggest that patients with BC and UC derive the most substantial benefit from SG treatment. However, the methodological limitations of single-arm trials&#x2014;such as lack of a control group and potential bias&#x2014;must be carefully considered when interpreting these results. Moreover, SG is associated with a higher incidence of TEAEs, highlighting the importance of vigilant toxicity monitoring and management. Further research, particularly well-designed, large-scale RCTs, is essential to more definitively establish the clinical efficacy and safety profile of SG across diverse tumor types.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YZ: Data curation, Writing &#x2013; review &amp; editing, Conceptualization, Writing &#x2013; original draft. HF: Writing &#x2013; original draft, Visualization, Supervision, Writing &#x2013; review &amp; editing. JC: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Data curation. XW: Data curation, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. HW: Writing &#x2013; review &amp; editing. XC: Writing &#x2013; review &amp; editing. JH: Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank all the researchers who contributed to this study.</p>
</ack>
<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>
</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.2025.1624386/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2025.1624386/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="SupplementaryFile1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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