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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1267763</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2024.1267763</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A meta-analysis of the efficacy of programmed cell death 1/its ligand inhibitors plus cytotoxic T-lymphocyte-associated antigen 4 inhibitors in non-small cell lung cancer</article-title>
<alt-title alt-title-type="left-running-head">Lin et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2024.1267763">10.3389/fphar.2024.1267763</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Lin</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2311825/overview"/>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Xiao</surname>
<given-names>Lu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Chen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1480430/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Haorong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Changyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Lanfang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wei</surname>
<given-names>Anhua</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Oncology</institution>, <institution>Wuhan Asia General Hospital</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Rehabilitation</institution>, <institution>Tongji Hospital</institution>, <institution>Tongji Medical College</institution>, <institution>Huazhong University of Science and Technology</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Pharmacy</institution>, <institution>Tongji Hospital</institution>, <institution>Tongji Medical College</institution>, <institution>Huazhong University of Science and Technology</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/675069/overview">Andrea Messori</ext-link>, Regione Toscana, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/675126/overview">Daniele Mengato</ext-link>, University Hospital of Padua, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2627587/overview">Sabrina Trippoli</ext-link>, Regional Health Agency of Tuscany, Italy</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Anhua Wei, <email>ahwei0716@163.com</email>; Wei Li, <email>isliwei_tiao@163.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1267763</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Lin, Xiao, Li, Chen, Zhang, Yu, Zhang, Wei and Li.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Lin, Xiao, Li, Chen, Zhang, Yu, Zhang, Wei and Li</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>
<p>
<bold>Background:</bold> Immune checkpoint inhibitors (ICIs), either as monotherapy or in combination with chemotherapy, have improved the therapeutic outcome for non-small cell lung cancer (NSCLC). However, the efficacy of combination therapies, such as programmed cell death 1(PD-1)/its ligand (PD-L1) and cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) inhibitors, in targeting different pathways remains unclear. We performed a meta-analysis to determine whether the addition of a CTLA-4 inhibitor to PD-1/PD-L1 therapy improves the efficacy of PD-1/PD-L1 monotherapy in NSCLC.</p>
<p>
<bold>Methods:</bold> We systematically searched various electronic databases for suitable trials. Only randomized controlled trials (RCTs) comparing the clinical efficacy of PD-1/PD-L1 with and without CTLA-4 were included in the analyses. The meta-analysis software RevMan 5.3 was used for statistical analyses.</p>
<p>
<bold>Results:</bold> A total of seven RCTs were retrieved. The results suggested that the combination of CTLA-4 and PD-1/PDL-1 inhibitors did not show enhanced efficacy over PD1/PDL-1 inhibitor monotherapy as determined by overall survival (OS) (HR &#x3d; 0.98, 95% CI &#x3d; 0.84&#x2013;1.14, <italic>p</italic> &#x3d; 0.79), progression-free survival (PFS) (HR &#x3d; 0.92, 95% CI &#x3d; 0.81&#x2013;1.06, <italic>p</italic> &#x3d; 0.25), and objective response rate (ORR) (HR &#x3d; 1.08, 95% CI &#x3d; 0.96&#x2013;1.21, <italic>p</italic> &#x3d; 0.19). Furthermore, the combination immunotherapy was associated increased toxicity as evidenced by increased incidence of any type adverse events (AEs) (RR &#x3d; 1.06, 95% CI &#x3d; 1.00&#x2013;1.13, <italic>p</italic> &#x3d; 0.03), grade &#x2265;3 immune-mediated AEs (RR &#x3d; 1.58, 95% CI &#x3d; 1.36&#x2013;1.82, <italic>p</italic> &#x3c; 0.05), and treatment discontinuation (RR &#x3d; 1.83, 95% CI &#x3d; 1.46&#x2013;2.28, <italic>p</italic> &#x3c; 0.05).</p>
<p>
<bold>Conclusion:</bold> Combining anti-CTLA-4 with anti-PD-1/PD-L1 therapy did not improve the therapeutic efficacy, and was associated with greater toxicity than anti-PD-1/PD-L1 monotherapy in patients with advanced NSCLC. Further investigation of the combination immunotherapy in specific subsets of patients is warranted to identify and define the patient-specific benefits of this combination.</p>
<p>
<bold>Systematic Review Registration:</bold> <ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/prospero/">https://www.crd.york.ac.uk/prospero/</ext-link>, identifier CRD42023435399</p>
</abstract>
<kwd-group>
<kwd>CTLA-4 inhibitor</kwd>
<kwd>PD-1/PD-L1 inhibitor</kwd>
<kwd>non-small cell lung cancer</kwd>
<kwd>meta-analysis</kwd>
<kwd>NSCLC</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pharmacology of Anti-Cancer Drugs</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Background</title>
<p>In recent years, monoclonal antibodies (mAbs) have revolutionized cancer therapy. Immunotherapy with monoclonal antibodies targeting programmed cell death 1 (PD-1) or its ligand (PD-L1) have become the standard salvage therapy approved for the treatment of advanced non-small cell lung cancer (NSCLC), either as a monotherapy or in combination with chemotherapy (<xref ref-type="bibr" rid="B7">Gandhi et al., 2018</xref>; <xref ref-type="bibr" rid="B17">Paz-Ares et al., 2018</xref>; <xref ref-type="bibr" rid="B25">Socinski et al., 2018</xref>).</p>
<p>Because of the limitations of treatment-related toxicities and PD-L1 tumor proportion score, only a minority of patients demonstrate notable anti-tumor effects (<xref ref-type="bibr" rid="B3">Camidge et al., 2019</xref>), and the efficacy of ICI combinations over that of PD-1/PD-L1 monotherapy remains under detable. Some meta-analyses had been done previously. A meta-analysis by Shen et al.reported that the PD-1/PD-L1suppressors in combination with conventional chemotherapy have promising ORR rate and survival efficacy (<xref ref-type="bibr" rid="B24">Shen et al., 2023</xref>). Another recent research by Chen et al.demonstrated that PD-1/PD-L1 inhibitors plus anti-angiogenic agents obviously enhance the efficacy and safety as second or later-line therapy in NSCLC (<xref ref-type="bibr" rid="B6">Chen et al., 2023</xref>).</p>
<p>Monoclonal immunoglobulin G2 antibodies targeting cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) prevent normal downregulation of T cells and prolong T-cell action, thereby enhancing immune function (<xref ref-type="bibr" rid="B26">Tarhini and Kirkwood, 2008</xref>). Previous studies have shown an additive or synergistic antitumor activity of simultaneous blockade of the PD-1/PD-L1 and CTLA-4 pathways, and support the combination as a therapeutic option for patients with low/negative PD-L1 expression (<xref ref-type="bibr" rid="B1">Antonia et al., 2016</xref>; <xref ref-type="bibr" rid="B10">Hellmann et al., 2017</xref>; <xref ref-type="bibr" rid="B9">Hellmann et al., 2018</xref>).</p>
<p>However, there are still conflicting reports on the benefits of the combination therapies because of toxicity, lack of therapeutic efficacy, or because of differences in response arising from variations in tumor mutational burden (TMB) and PD-1 expression levels (<xref ref-type="bibr" rid="B16">Liu et al., 2021</xref>). Therefore, more evidence is needed to demonstrate that the addition of CTLA-4 to PD-1/PD-L1 therapy is superior to PD-1/PD-L1 monotherapy in NSCLC.</p>
<p>We conducted a meta-analysis to determine whether the addition of a CTLA-4 inhibitor to PD-1/PD-L1 therapy improves the efficacy of PD-1/PD-L1 alone in NSCLC.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Search strategy</title>
<p>A literature search of studies published until June 2023 in the PubMed, Embase, and Cochrane databases was performed by two independent reviewers. The keywords and relevant Medical Subject Heading (MeSH) terms used for the searches included the following: &#x201c;Pembrolizumab,&#x201d; &#x201c;Nivolumab,&#x201d; &#x201c;Atezolizumab,&#x201d; &#x201c;Cemiplimab,&#x201d; &#x201c;Avelumab,&#x201d; &#x201c;Durvalumab&#x201d; and &#x201c;Ipilimumab,&#x201d; &#x201c;Tremelimumab&#x201d; and &#x201c;Non-small cell lung cancer.&#x201d; Reference lists and materials were manually retrieved to identify potentially eligible articles.</p>
</sec>
<sec id="s2-2">
<title>Eligibility criteria</title>
<p>Inclusion criteria were as follows: (<xref ref-type="bibr" rid="B7">Gandhi et al., 2018</xref>): participants: studies that enrolled patients diagnosed with NSCLC; (<xref ref-type="bibr" rid="B25">Socinski et al., 2018</xref>); interventions: comparing the clinical efficacy of PD-1/PD-L1 with or without CTLA-4; (<xref ref-type="bibr" rid="B17">Paz-Ares et al., 2018</xref>); outcomes: overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and adverse events (AEs); and (<xref ref-type="bibr" rid="B3">Camidge et al., 2019</xref>) study design: randomized controlled trials (RCTs).</p>
</sec>
<sec id="s2-3">
<title>Quality assessment</title>
<p>All the cohort articles were assessed for risk of bias using the Cochrane Collaboration&#x2019;s &#x201c;risk of bias&#x201d; tool for the RCTs (<xref ref-type="bibr" rid="B11">Higgins et al., 2011</xref>). The process was conducted in two separate studies, and disagreements were resolved by discussion.</p>
</sec>
<sec id="s2-4">
<title>Data extraction</title>
<p>Two reviewers independently extracted the following information: author&#x2019;s name, year of publication, trial, therapy arm, follow-up period, number of patients, mean patient age, and relevant outcome data. Disagreements were resolved through discussion. Publication bias was evaluated using funnel plots.</p>
</sec>
<sec id="s2-5">
<title>Data synthesis and analysis</title>
<p>The experimental group was defined as the one receiving the combination immunotherapy and the control group as that receiving anti-PD-1/PD-L1 monotherapy. Heterogeneity of the articles were assessed using the <italic>I</italic>
<sup>2</sup> statistic and Chi-square test (<xref ref-type="bibr" rid="B12">Higgins and Thompson, 2002</xref>). <italic>I</italic>
<sup>2</sup> &#x2265; 50% was considered to indicate high heterogeneity, whereas <italic>I</italic>
<sup>2</sup> &#x3c; 50% was suggested to indicate low heterogeneity (<xref ref-type="bibr" rid="B13">Higgins et al., 2003</xref>). The fixed-effects model was used when there was a low degree of heterogeneity among the studies; otherwise, the random-effects model was used. Statistical significance was set at <italic>p</italic> &#x3c; 0.05. Review Manager version 5.3 software (RevMan; The Cochrane Collaboration, Oxford, United Kingdom) was used for statistical analysis. The results are shown as forest plots.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Study selection</title>
<p>A total of 527 publications were retrieved. Following a review of the titles and abstracts, 11 studies were evaluated by reading the complete article. However, four of these were excluded based on the inclusion criteria. Finally, seven RCTs were included in the analyses (<xref ref-type="bibr" rid="B19">Planchard et al., 2020a</xref>; <xref ref-type="bibr" rid="B23">Rizvi et al., 2020</xref>; <xref ref-type="bibr" rid="B2">Boyer et al., 2021</xref>; <xref ref-type="bibr" rid="B5">Cascone et al., 2021</xref>; <xref ref-type="bibr" rid="B8">Gettinger et al., 2021</xref>; <xref ref-type="bibr" rid="B18">Paz-Ares et al., 2022</xref>; <xref ref-type="bibr" rid="B15">Johnson et al., 2023</xref>). <xref ref-type="fig" rid="F1">Figure 1</xref> illustrates the search process in detail. <xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref> summarize the quality assessment process.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>PRISMA flow chart of selection process to identify studies eligible for pooling Reason 1.</p>
</caption>
<graphic xlink:href="fphar-15-1267763-g001.tif"/>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Methodological quality assessment for each included study.</p>
</caption>
<graphic xlink:href="fphar-15-1267763-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Quality assessment summary for included studies.</p>
</caption>
<graphic xlink:href="fphar-15-1267763-g003.tif"/>
</fig>
<p>All included publications were based on moderate-quality evidence. <xref ref-type="table" rid="T1">Table 1</xref> describes the primary characteristics of the eligible studies in detail.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Characteristics of the include studies.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Author</th>
<th colspan="2" align="center">Boyer M</th>
<th colspan="2" align="center">Planchard D</th>
<th colspan="2" align="center">Naiyer NA</th>
<th colspan="2" align="center">Gettinger SN</th>
<th colspan="2" align="center">Paz-Ares LG</th>
<th colspan="2" align="center">Cascone T</th>
<th colspan="2" align="center">Johnson ML</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">Year</td>
<td colspan="2" align="center">2021</td>
<td colspan="2" align="center">2020</td>
<td colspan="2" align="center">2020</td>
<td colspan="2" align="center">2021</td>
<td colspan="2" align="center">2022</td>
<td colspan="2" align="center">2021</td>
<td colspan="2" align="center">2023</td>
</tr>
<tr>
<td align="center">trial</td>
<td colspan="2" align="center">NCT03302234</td>
<td colspan="2" align="center">NCT02352948</td>
<td colspan="2" align="center">NCT02453282</td>
<td colspan="2" align="center">NCT02785952</td>
<td colspan="2" align="center">NCT02477826</td>
<td colspan="2" align="center">NCT03158129</td>
<td colspan="2" align="center">NCT03164616</td>
</tr>
<tr>
<td align="center">follow-up period</td>
<td colspan="2" align="center">2018.1.12&#x2013;2019.8.12</td>
<td colspan="2" align="center">2015.1.13&#x2013;2016.9.13</td>
<td colspan="2" align="center">2015.7.21&#x2013;2018.10.30</td>
<td colspan="2" align="center">2015.12&#x2013;2018.4</td>
<td colspan="2" align="center">2015.8.5&#x2013;2016.11.30</td>
<td colspan="2" align="center">2017.6&#x2013;2018.11</td>
<td colspan="2" align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">therapeutic regimen</td>
<td align="center">P &#x2b; I</td>
<td align="center">P</td>
<td align="center">D &#x2b; T</td>
<td align="center">D</td>
<td align="center">D &#x2b; T</td>
<td align="center">D</td>
<td align="center">N &#x2b; I</td>
<td align="center">N</td>
<td align="center">N &#x2b; I</td>
<td align="center">N</td>
<td align="center">N &#x2b; I</td>
<td align="center">N</td>
<td align="center">D &#x2b; T &#x2b; CT</td>
<td align="center">D &#x2b; CT</td>
</tr>
<tr>
<td align="left"/>
<td align="center">P:200<font color="#FE0191">&#xa0;</font>mg, q3w &#x2b; I:1<font color="#FE0191">&#xa0;</font>mg/kg, q6w</td>
<td align="center">P:200<font color="#FE0191">&#xa0;</font>mg, q3w &#x2b; placebo</td>
<td align="center">D: 20<font color="#FE0191">&#xa0;</font>mg/kg q4w &#x2b; T: 1<font color="#FE0191">&#xa0;</font>mg/kg q4w</td>
<td align="center">D:10<font color="#FE0191">&#xa0;</font>mg/kg q2w</td>
<td align="center">D: 20<font color="#FE0191">&#xa0;</font>mg/kg q4w &#x2b; T: 1<font color="#FE0191">&#xa0;</font>mg/kg q4w</td>
<td align="center">D:20<font color="#FE0191">&#xa0;</font>mg/kg q4w</td>
<td align="center">N:3<font color="#FE0191">&#xa0;</font>mg/kg q2w &#x2b; I:1<font color="#FE0191">&#xa0;</font>mg/kg q6w</td>
<td align="center">N:3<font color="#FE0191">&#xa0;</font>mg/kg q2w</td>
<td align="center">N:3<font color="#FE0191">&#xa0;</font>mg/kg q2w &#x2b; I:1<font color="#FE0191">&#xa0;</font>mg/kg q6w</td>
<td align="center">N:240&#xa0;mg q2w</td>
<td align="center">N:3<font color="#FE0191">&#xa0;</font>mg/kg q2w &#x2b; I:1<font color="#FE0191">&#xa0;</font>mg/kg q6w</td>
<td align="center">N:3<font color="#FE0191">&#xa0;</font>mg/kg q2w</td>
<td align="center">T; 75&#xa0;mg D:1500&#xa0;mg q3w 4curcles &#x2b; D:1500&#xa0;mg q4w</td>
<td align="center">D:1500&#xa0;mg q3w 4curcles &#x2b; D:1500&#xa0;mg q4w</td>
</tr>
<tr>
<td align="center">Patients</td>
<td align="center">284</td>
<td align="center">284</td>
<td align="center">174</td>
<td align="center">117</td>
<td align="center">372</td>
<td align="center">374</td>
<td align="center">138</td>
<td align="center">137</td>
<td align="center">396</td>
<td align="center">396</td>
<td align="center">21</td>
<td align="center">23</td>
<td align="center">338</td>
<td align="center">338</td>
</tr>
<tr>
<td align="center">Median Age</td>
<td align="center">64</td>
<td align="center">65</td>
<td align="center">62.5</td>
<td align="center">63</td>
<td align="center">65</td>
<td align="center">64</td>
<td align="center">67.5</td>
<td align="center">68.1</td>
<td align="center">64</td>
<td align="center">64</td>
<td align="center">65</td>
<td align="center">66.1</td>
<td align="center">63</td>
<td align="center">64.5</td>
</tr>
<tr>
<td rowspan="4" align="center">Outcomes</td>
<td colspan="2" align="center">OS:HR:1.08 (0.85&#x2013;1.37)</td>
<td colspan="2" align="center">OS:HR:0.98 (0.74&#x2013;1.30)</td>
<td colspan="2" align="center">AEs:RR:1.12 (0.99&#x2013;1.27)</td>
<td colspan="2" align="center">OS:HR:0.87 (0.66&#x2013;1.15)</td>
<td colspan="2" align="center">OS:HR:0.19 (0.01&#x2013;4.58)</td>
<td colspan="2" align="center">ORR:RR:0.88 (0.27&#x2013;2.83)</td>
<td colspan="2" align="center">ORR:RR:0.93 (0.74&#x2013;1.18)</td>
</tr>
<tr>
<td colspan="2" align="center">PFS:HR:1.06 (0.86&#x2013;1.31)</td>
<td colspan="2" align="center">PFS:HR:0.87 (0.68&#x2013;1.11)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td colspan="2" align="center">PFS:HR:0.80 (0.61&#x2013;1.05)</td>
<td colspan="2" align="center">PFS:HR:0.52 (0.11&#x2013;2.46)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td colspan="2" align="center">AEs:RR:1.05 (1.00&#x2013;1.10)</td>
</tr>
<tr>
<td colspan="2" align="center">ORR:RR:1.00 (0.84&#x2013;1.20)</td>
<td colspan="2" align="center">ORR:RR:0.97 (0.56&#x2013;1.69)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td colspan="2" align="center">ORR:RR:1.08 (0.65&#x2013;1.81)</td>
<td colspan="2" align="center">ORR:RR:1.32 (1.07&#x2013;1.62)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td colspan="2" align="center">AEs:RR:1.03 (0.99&#x2013;1.08)</td>
<td colspan="2" align="center">AEs:RR:0.99 (0.92&#x2013;1.05)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td colspan="2" align="center">AEs:RR:1.12 (0.91&#x2013;1.37)</td>
<td colspan="2" align="center">AEs:RR:1.17 (1.07&#x2013;1.27)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>P, pembrolizumab; I, ipilimumab; D, durvalumab; T, tremelimumab; N, nivolumab; CT, Chemotherapy; HR, hazard ratio; RR, risk ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Clinical and methodological heterogeneity</title>
<sec id="s3-2-1">
<title>OS</title>
<p>Because there was no heterogeneity among the studies, we applied a fixed-effects model to the relevant analysis. The pooled result for OS showed no significant benefit of the combination immunotherapy over anti-PD-1/PD-L1 monotherapy (HR &#x3d; 0.98, 95% CI &#x3d; 0.84&#x2013;1.14, <italic>p</italic> &#x3d; 0.79) (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Pooled analysis of OS.</p>
</caption>
<graphic xlink:href="fphar-15-1267763-g004.tif"/>
</fig>
</sec>
<sec id="s3-2-2">
<title>PFS</title>
<p>A fixed-effects model was used to analyze the pooled PFS data because heterogeneity across the included studies was low. The pooled data for PFS did not show any significant effect of the combination immunotherapy over anti-PD-1/PD-L1 monotherapy (HR &#x3d; 0.92, 95% CI &#x3d; 0.81&#x2013;1.06, <italic>p</italic> &#x3d; 0.25) (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Pooled analysis of PFS.</p>
</caption>
<graphic xlink:href="fphar-15-1267763-g005.tif"/>
</fig>
</sec>
<sec id="s3-2-3">
<title>ORR</title>
<p>The ORR showed no significant difference between the two treatment regimens in the fixed-effects model (HR &#x3d; 1.08, 95% CI &#x3d; 0.96&#x2013;1.21, <italic>p</italic> &#x3d; 0.19) (<xref ref-type="fig" rid="F6">Figure 6</xref>). The addition of CTLA-4 to PD-1/PD-L1 therapy did not improve the ORR compared to PD-1/PD-L1 alone in NSCLC.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Pooled analysis of objective response rates (ORR).</p>
</caption>
<graphic xlink:href="fphar-15-1267763-g006.tif"/>
</fig>
</sec>
<sec id="s3-2-4">
<title>AE</title>
<p>The combination immunotherapy arm was associated with increased rates of any type AEs (RR &#x3d; 1.06, 95% CI &#x3d; 1.00&#x2013;1.13, <italic>p</italic> &#x3d; 0.03) (<xref ref-type="fig" rid="F7">Figure 7</xref>), higher grade 3 AEs (RR &#x3d; 1.58, 95% CI &#x3d; 1.36&#x2013;1.82, <italic>p</italic> &#x3c; 0.05), and AEs leading to treatment discontinuation (RR &#x3d; 1.83, 95% CI &#x3d; 1.46&#x2013;2.28, <italic>p</italic> &#x3c; 0.05) compared with the antiPD-1/PD-L1 monotherapy arm. Whereas, the pooled data showed that the rate of AEs leading to death (RR &#x3d; 1.93, 95% CI &#x3d; 1.00&#x2013;3.71, <italic>p</italic> &#x3d; 0.05) was not significantly different between the two treatment regimens (<xref ref-type="fig" rid="F8">Figure 8</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Pooled analysis of adverse effects (AEs).</p>
</caption>
<graphic xlink:href="fphar-15-1267763-g007.tif"/>
</fig>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Pooled analysis of sub-group adverse effects.</p>
</caption>
<graphic xlink:href="fphar-15-1267763-g008.tif"/>
</fig>
</sec>
<sec id="s3-2-5">
<title>Publication Bias</title>
<p>Forest plots were used to present publication bias. <xref ref-type="fig" rid="F9">Figure 9</xref> shows funnel plots of the OS (<xref ref-type="fig" rid="F9">Figure 9A</xref>), PFS (<xref ref-type="fig" rid="F9">Figure 9B</xref>), ORR (<xref ref-type="fig" rid="F9">Figure 9C</xref>), and any type of AEs (<xref ref-type="fig" rid="F9">Figure 9D</xref>).</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>The funnel plots of the OS <bold>(A)</bold>, PFS <bold>(B)</bold>, ORR <bold>(C)</bold>, and any type of AEs <bold>(D)</bold>.</p>
</caption>
<graphic xlink:href="fphar-15-1267763-g009.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The combination of anti-PD-1/PD-L1 therapy with anti-CTLA-4 is considered to amplify the anti-tumor T-cell responses through non-redundant immune checkpoint blockade, and provide additive or synergistic antitumor activity. However, previous trials suggest that this combination does not provide any additional benefits beyond that of PD-1 inhibition alone (<xref ref-type="bibr" rid="B8">Gettinger et al., 2021</xref>).</p>
<p>To determine the efficacy of PD-1/PD-L1, with or without CTLA-4, we performed a comprehensive meta-analysis, and evaluated the benefits and risks of the combination immunotherapy <italic>versus</italic> PD-1/PDL-1 inhibitor monotherapy.</p>
<p>From a biological perspective, the combination immunotherapy should provide superior efficacy compared to PD-1/PDL-1monotherapy. The results of the Lung-MAP S1400I trial (<xref ref-type="bibr" rid="B8">Gettinger et al., 2021</xref>) and the CheckMate 227 trial (<xref ref-type="bibr" rid="B18">Paz-Ares et al., 2022</xref>) have supported this view. However, we found that adding CTLA-4 inhibitors to PD-1/PD-L1 therapy did not significantly improve the antitumor efficacy indices (survival outcomes including PFS and OS and drug response including ORR) compared to those of PD-1/PD-L1 inhibitors alone.</p>
<p>These findings may be explained by the influence of differences in PD-L1 expression levels and TMB, which have been mentioned in previous trials (<xref ref-type="bibr" rid="B20">Planchard et al., 2020b</xref>). PD-L1 expression, measured by immunohistochemistry, is currently the most widely used decision-making tool in clinical practice for selecting patients who will derive the greatest benefit from ICIs, at least in a first-line setting (<xref ref-type="bibr" rid="B22">Reck et al., 2016</xref>).</p>
<p>PD-L1 negative tumors do not respond to ICIs. Some reports have indicated a trend toward a better response rate associated with increased PD-L1 expression levels. The analysis of the POSEIDON (<xref ref-type="bibr" rid="B15">Johnson et al., 2023</xref>) has demonstrated that patients with PD-L1&#x2013;low/negative are more likely to show primary resistance to anti&#x2013;PD-(L)1 therapy. Paz-Ares LG (<xref ref-type="bibr" rid="B18">Paz-Ares et al., 2022</xref>) shown that efficacy benefit with nivolumab plus ipilimumab <italic>versus</italic> nivolumab monotherapy for both PD-L1 expression greater than or equal to 1% and 50%. These findings suggest the existence of inherent differences in the immune milieu associated with PD-L1 expression levels, and the complex relationship between tumors and the immune system. However, the optimal cut-off value of PD-L1 expression has not yet been defined.</p>
<p>TMB has recently emerged as a biomarker, independent of PD-L1 expression, for identifying patients who may clinically benefits from ICI therapies (<xref ref-type="bibr" rid="B4">Carbone et al., 2017</xref>; <xref ref-type="bibr" rid="B9">Hellmann et al., 2018</xref>; <xref ref-type="bibr" rid="B21">Ready et al., 2019</xref>). Previous NSCLC trials revealed that PD-1/CTLA-4 combination blockade improved PFS in patients with high TMB, independent of PD-L1 expression (<xref ref-type="bibr" rid="B9">Hellmann et al., 2018</xref>; <xref ref-type="bibr" rid="B21">Ready et al., 2019</xref>). However, the OS was similar regardless of the TMB level (<xref ref-type="bibr" rid="B14">Jiang et al., 2018</xref>). In our opinion, the cut-off point for TMB may provide a reasonable explanation for this observation. In their study, <xref ref-type="bibr" rid="B8">Gettinger et al. (2021)</xref> reported that a high TMB (defined as a cut-off of 10&#xa0;mut/Mb) did not result in a superior outcome with combination therapy. However, <xref ref-type="bibr" rid="B23">Rizvi et al. (2020)</xref> reported that a high TMB was associated with a significant favorable contribution of CTLA-4 in combination therapy vs. that of PD-1 monotherapy. They defined high TMB as a cut-off value of 20&#xa0;mut/Mb. Because the optimal cut-off for TMB differed across the studies included in our analysis, the predictive effect of TMB on survival outcomes could not be established in our study. Therefore, standardization of TMB calculation and reporting as well as a universal threshold for defining high TMB remain challenges that need to be investigated further.</p>
<p>In terms of AEs, we consistently found that the combination therapy increased the incidence of grade 3 AEs and AEs that lead to discontinuation. This finding indicates that the AEs associated with the combination therapy worsened in patients on treatment, thereby providing minimal benefits from the drugs. We expect that the risk of immune-related AEs can be reduced by carefully selecting patients for treatment with ICI combinations.</p>
<p>The limitations of our study include its retrospective nature and the various ICIs used in the studies included in our analysis, resulting in an imbalance between the two groups. Analyses of subgroups based on the ICIs are warranted to answer these questions. In addition, we could not draw any conclusions regarding the influence of PD-L1 expression level and TMB on ICIs because of the limited data on the covariates available for analysis. Further high-quality studies with additional data are required to clarify this issue.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In summary, our analysis suggests that addition of CTLA-4 to PD-1 therapy failed to improve the survival efficacy, but also increased the incidence of grade 3 AEs and AEs leading to discontinuation when compared with PD-1/PD-L1 monotherapy. The predictive values of TMB and PD-L1 expression need to be addressed in future studies.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>LiL: Software, Writing&#x2013;original draft. LX: Formal Analysis, Writing&#x2013;original draft. LeL: Conceptualization, Investigation, Writing&#x2013;review and editing. CC: Data curation, Investigation, Writing&#x2013;review and editing. HZ: Conceptualization, Investigation, Writing&#x2013;review and editing. CY: Conceptualization, Investigation, Writing&#x2013;review and editing. LZ: Conceptualization, Investigation, Writing&#x2013;review and editing. AW: Project administration, Writing&#x2013;review and editing. WL: Formal Analysis, Project administration, Writing&#x2013;review and editing, Software.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<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 sec-type="disclaimer" id="s10">
<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="s11">
<title>Abbreviations</title>
<p>NSCLC, Non-small cell lung cancer; PD-1, Programmed cell death 1.</p>
</sec>
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