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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1635056</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Do age and performance status matter? A systematic review and network meta-analysis of immunotherapy studies in untreated advanced/metastatic non-oncogene addicted NSCLC</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Siciliano</surname>
<given-names>Maria Anna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1101091/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>d&#x2019;Apolito</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1101058/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Del Giudice</surname>
<given-names>Teresa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2582533/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Carid&#xe0;</surname>
<given-names>Giulio</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2644382/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Grillone</surname>
<given-names>Francesco</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/378448/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Porzio</surname>
<given-names>Giampiero</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1820864/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Giusti</surname>
<given-names>Raffaele</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/273918/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tassone</surname>
<given-names>Pierfrancesco</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/232134/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Barbieri</surname>
<given-names>Vito</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1021147/overvie/w"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tagliaferri</surname>
<given-names>Pierosandro</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/809130/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Oncology Unit, Oncology Department, &#x201c;Azienda Ospedaliero Universitaria (AOU) Dulbecco&#x201d; Hospital</institution>, <addr-line>Catanzaro</addr-line>,&#xa0;<country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Oncology Unit, Tiberio Evoli Hospital, Melito di Porto Salvo</institution>, <addr-line>Reggio Calabria</addr-line>,&#xa0;<country>Italy</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Experimental and Clinical Medicine, Magna Gr&#xe6;cia University</institution>, <addr-line>Catanzaro</addr-line>,&#xa0;<country>Italy</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Tuscany Tumor Association, Oncological Home Care Service</institution>, <addr-line>Florence</addr-line>,&#xa0;<country>Italy</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Oncology Unit, Azienda Ospedaliera-Universitaria Sant&#x2019;Andrea</institution>, <addr-line>Rome</addr-line>,&#xa0;<country>Italy</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Michael R&#xfc;ckert, Universit&#xe4;tsklinikum Erlangen, Germany</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2529268/overview">Zsuzsanna Orosz</ext-link>, University of Debrecen, Hungary</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3125698/overview">Daisuke Morinaga</ext-link>, Hokkaido University Hospital, Japan</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3152297/overview">Mathias Sonnhoff</ext-link>, Hannover Medical School, Germany</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Pierosandro Tagliaferri, <email xlink:href="mailto:tagliaferri@unicz.it">tagliaferri@unicz.it</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1635056</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Siciliano, d&#x2019;Apolito, Del Giudice, Carid&#xe0;, Grillone, Porzio, Giusti, Tassone, Barbieri and Tagliaferri.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Siciliano, d&#x2019;Apolito, Del Giudice, Carid&#xe0;, Grillone, Porzio, Giusti, Tassone, Barbieri and Tagliaferri</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>Immune checkpoint inhibitors (ICIs) redefined the treatment of non-small cell lung cancer (NSCLC) but their efficacy in elderly and frail patients remains unclear due to immune-senescence and the underrepresentation of these populations in clinical trials. This systematic review and meta-analysis aimed to evaluate and rank first-line ICI-based therapies in NSCLC, stratified by age and performance status (PS).</p>
</sec>
<sec>
<title>Methods</title>
<p>A comprehensive search for randomized controlled trials (RCTs) of ICI regimens, pairwise and network meta-analyses (NMA) based on age (&lt;65, &#x2265;65, &#x2265;75 years) and PS (0 vs. 1) were conducted. Endpoints were overall survival (OS) and progression-free survival (PFS).</p>
</sec>
<sec>
<title>Results</title>
<p>ICIs significantly improved OS and PFS versus chemotherapy (CT) in most subgroups. No OS benefit was observed in patients over 75 years. In younger patients, ICI+CT combinations (e.g. pembrolizumab+CT, cemiplimab+CT, camrelizumab+CT) ranked highest for OS and PFS. Among &#x2265;65y patients, cemiplimab ranked first reaching statistical significance in most comparisons, while pembrolizumab was the most effective option for PFS. Stratified by PS, cemiplimab+CT ranked highest for OS in PS 0 patients, whereas cemiplimab was preferred in PS 1 patients. Overall, combination regimens were more effective in younger/fit patients, while monotherapy was more effective in older/PS 1 patients, suggesting a different benefit-risk balance. Anti-PD-1 therapies (alone or in combination) outperformed anti-PD-L1 and anti-CTLA-4 therapies in OS.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This meta-analysis highlights how the efficacy of ICIs in advanced NSCLC varies by age and PS. These findings support a tailored approach to immunotherapy and emphasize the need for trials specifically targeting frail and elderly populations.</p>
</sec>
</abstract>
<kwd-group>
<kwd>non-small cell lung cancer</kwd>
<kwd>checkpoint inhibitors</kwd>
<kwd>network meta-analysis</kwd>
<kwd>systematic review</kwd>
<kwd>frail</kwd>
<kwd>older</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="49"/>
<page-count count="11"/>
<word-count count="4621"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The introduction of immune checkpoint inhibitors (ICIs) has paved the way for radical changes in the treatment of advanced/metastatic non-small cell lung cancer (NSCLC). The superiority of ICIs over standard chemotherapy (CT) has been widely demonstrated; however, there is now a rising need to identify which patients are most likely to benefit from immunotherapy (IT). In this challenging scenario, ICIs-based therapy in elderly/frail patients is still a relevant point of discussion that requires further investigation. In clinical practice, more than half of all patients with NSCLC are aged over 70 years, and nearly 10% are 80 years or older (<xref ref-type="bibr" rid="B1">1</xref>). Due to immune-senescence, there is a hypothetical risk of reduced efficacy and increased toxicity with ICIs. However, some data from clinical trials suggest that older patients might benefit from IT similarly to younger patients, with an acceptable safety profile (<xref ref-type="bibr" rid="B2">2</xref>). However, clinical trials mostly include patients with a performance status (PS) of 0&#x2013;1 and median age at trial enrollment was about 10 years younger than the median age of NSCLC diagnosis. For this reason, data on &#x2265;75 years or those with PS 2 patients are mostly derived from <italic>post-hoc</italic> analyses of small subgroups with limited statistical power and high risk of selection bias. Unlike CT, ICIs treatment is often given until disease progression or unacceptable toxicity, and the impact of this long-term treatment remains unclear. Additionally, the combination of IT and CT has become the standard of care in first-line NSCLC improving efficacy as compared to CT alone but also leading to a higher rate of adverse events. Therefore, there is a rising medical need to identify the most appropriated treatment strategy for frail and elderly populations to avoid over- or under-treatment and preventing useless toxicity. Indeed, this requires the design of pragmatic clinical trials that enroll populations as more similar to those observed in the real-life setting.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.2</label>
<title>Systematic literature review</title>
<p>According to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, we conducted a systematic review using PubMed, Embase, Cochrane Library and relevant abstracts and presentations from major meeting databases (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>) (<xref ref-type="bibr" rid="B3">3</xref>). Timeframe was set from January 2010 to September 2024.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data extraction and quality assessment</title>
<p>Data were independently extracted by two investigators (MAS and GC) performing the database searches and record selection, following a predefined protocol. Any disagreements were resolved through consensus. Both investigators assessed the risk of bias of the included studies using Cochrane risk of bias tool (<xref ref-type="bibr" rid="B4">4</xref>). The risk of bias was evaluated using the modified Cochrane Collaboration tool for randomized controlled trials (RCTs), evaluating the following domains: random sequence generation (selection bias), allocation concealment (selection bias), blinding of participants and investigators, blinding of outcome assessment (detection bias), incomplete outcome data (attrition bias), and selective reporting (reporting bias) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S2</bold>
</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Study selection</title>
<p>Inclusion criteria: (1) phase 2 or 3 RCTs; (2) advanced/metastatic non-oncogene-addicted NSCLC; (3) comparison of two or more first-line treatments, including ICIs; (4) detailed outcomes including progression free survival (PFS) and overall survival (OS), stratified by age and/or PS. Studies that did not meet these criteria were excluded from the meta-analysis. Trials focusing on targeted therapy, radiotherapy, immune cells or cytokines, maintenance strategies or health-related quality of life were also excluded.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Endpoints</title>
<p>The primary endpoints of the meta-analysis were OS and PFS, analyzed in the overall population and stratified by age and PS. Specifically, subgroup analyses were conducted based on age (&lt;65 years, &#x2265; 65 years, &#x2265;75 years) and PS (0, &#x2265;1). For both OS and PFS, hazard ratios (HRs) and corresponding confidence intervals (CIs) were extracted.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Pairwise meta-analysis</title>
<p>Pairwise meta-analyses were performed to compare IT-based therapy versus CT using Review Manager version 5.4 (Cochrane). For each pairwise meta-analysis, Cochrane&#x2019;s Q test was used to assess statistical significance, with significance defined as a p-value &#x2264; 0.05. The presence of publication bias was excluded by visual inspection of funnel plots.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Network meta-analysis</title>
<p>Due to the heterogeneity of therapeutic strategies and the lack of direct comparisons, a Bayesian Network Meta-Analysis (NMA) was conducted. This analysis was performed using STATA (StataCorp, version 17) with a graphical interface and the mvmeta package. A Bayesian NMA was carried out for each outcome of interest using a Markov Chain Monte Carlo simulation with up to 30,000 iterations. Trials missing specific outcome data (e.g., HR for OS) were excluded from the corresponding NMA. The outcomes are reported with corresponding 95% credible intervals (CrIs). To identify the most credible treatment in the outcome of interest, we ranked the treatments using the surface under the cumulative ranking curve (SUCRA), derived by using command <italic>sucra</italic>. The closer the SUCRA value is to 1, the more probable the treatment is to rank as the best for the outcome of interest.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Systematic literature review and description of eligible trials</title>
<p>A total of 289 of 3939 reports were screened by title and abstract. Further 257 articles were excluded from the qualitative evaluation. Thirty-two were selected by full text screening and were finally included in this analysis, involving 19.461 patients and 23 treatment regimens (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3</bold>
</xref>). Of these, only studies reporting the necessary outcome data were included in the subsequent analyses. In the pairwise meta-analysis, 24 articles were included for OS and 20 for PFS. In the NMA, 26 articles were included in the analysis for OS and 22 for PFS. The experimental arm featured 6 ICI-monotherapy regimens [Keynote(KN)-024 (<xref ref-type="bibr" rid="B5">5</xref>), KN-042 (<xref ref-type="bibr" rid="B6">6</xref>), CheckMate(CM)-026 (<xref ref-type="bibr" rid="B7">7</xref>), IMpower(IM)-110 (<xref ref-type="bibr" rid="B8">8</xref>), Empower-lung 1 (<xref ref-type="bibr" rid="B9">9</xref>), IM-132 (<xref ref-type="bibr" rid="B10">10</xref>), Javelin Lung-100 (<xref ref-type="bibr" rid="B11">11</xref>), Mystic trial (<xref ref-type="bibr" rid="B12">12</xref>)], 3 dual-ICI strategy [CM-227 part I (<xref ref-type="bibr" rid="B13">13</xref>), KN-598 (<xref ref-type="bibr" rid="B14">14</xref>), Neptune (<xref ref-type="bibr" rid="B15">15</xref>)], 12 ICI/CT-regimens [KN-189 (<xref ref-type="bibr" rid="B16">16</xref>), NCT01285609 (<xref ref-type="bibr" rid="B17">17</xref>), KN-407 (<xref ref-type="bibr" rid="B18">18</xref>), CameL (<xref ref-type="bibr" rid="B19">19</xref>), CameL-Sq (<xref ref-type="bibr" rid="B20">20</xref>), Choice-01 (<xref ref-type="bibr" rid="B21">21</xref>), Empower-lung 3 (<xref ref-type="bibr" rid="B22">22</xref>), Gemstone-302 (<xref ref-type="bibr" rid="B23">23</xref>), IM-130 (<xref ref-type="bibr" rid="B24">24</xref>), IM-131 (<xref ref-type="bibr" rid="B25">25</xref>), CM-227 part II (<xref ref-type="bibr" rid="B26">26</xref>),Poseidon part I (<xref ref-type="bibr" rid="B27">27</xref>), Rationale-304 (<xref ref-type="bibr" rid="B28">28</xref>), Rationale-307 (<xref ref-type="bibr" rid="B29">29</xref>), Astrum-004 (<xref ref-type="bibr" rid="B30">30</xref>), Nippon (<xref ref-type="bibr" rid="B31">31</xref>), Orient-11 (<xref ref-type="bibr" rid="B32">32</xref>), Orient-12 (<xref ref-type="bibr" rid="B33">33</xref>), Innovent (<xref ref-type="bibr" rid="B34">34</xref>)], and 2 dual ICI/CT combinations [CM-9LA (<xref ref-type="bibr" rid="B35">35</xref>), Poseidon part II (<xref ref-type="bibr" rid="B27">27</xref>), CCTBG34 (<xref ref-type="bibr" rid="B36">36</xref>)]. Among them, 7 RCTs included only squamous (SQ) histology, 4 RCTs included only NSQ histology while the remaining studies included mixed histology. Regarding PD-L1 expression, 4 trials enrolled only patients with PD-L1 &gt;50%, 1 trial included only patients with PD-L1&gt;25% and 4 trials only patients with PD-L1 &gt;1%. All other studies included patients with mixed PD-L1 expression levels. Details of included trials were provided in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of included trials.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">RCT</th>
<th valign="middle" rowspan="2" align="center">Type of trial</th>
<th valign="middle" rowspan="2" align="center">Year</th>
<th valign="middle" rowspan="2" align="center">Histology</th>
<th valign="middle" rowspan="2" align="center">PD-L1</th>
<th valign="middle" colspan="2" align="center">Treatment comparison</th>
<th valign="middle" rowspan="2" align="center">Randomization</th>
<th valign="middle" rowspan="2" align="center">N&#xb0; patients</th>
<th valign="middle" rowspan="2" align="center">Median FU (mo)</th>
<th valign="middle" colspan="3" align="center">N&#xb0; of patients for age</th>
<th valign="middle" colspan="3" align="center">N&#xb0; of patients for PS</th>
<th valign="middle" rowspan="2" align="center">Outcome</th>
</tr>
<tr>
<th valign="middle" align="center">Arm 1</th>
<th valign="middle" align="center">Arm 2</th>
<th valign="middle" align="center">&lt;65y</th>
<th valign="middle" align="center">&#x2265;65 y</th>
<th valign="middle" align="center">&gt;75y</th>
<th valign="middle" align="center">0</th>
<th valign="middle" align="center">1</th>
<th valign="middle" align="center">2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Astrum-004</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">SQ</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">serplu+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">2:1</td>
<td valign="middle" align="center">537</td>
<td valign="middle" align="center">16.9</td>
<td valign="middle" align="center">310</td>
<td valign="middle" align="center">227</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">92</td>
<td valign="middle" align="center">445</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">PFS</td>
</tr>
<tr>
<td valign="middle" align="center">CameL</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">NSQ</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">camre+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">412</td>
<td valign="middle" align="center">65.2</td>
<td valign="middle" align="center">314</td>
<td valign="middle" align="center">98</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">84</td>
<td valign="middle" align="center">328</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">CameL-Sq</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">SQ</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">camre+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">389</td>
<td valign="middle" align="center">53.5</td>
<td valign="middle" align="center">234</td>
<td valign="middle" align="center">155</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">81</td>
<td valign="middle" align="center">308</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">CCTG-BR34</td>
<td valign="middle" align="center">Phase 2</td>
<td valign="middle" align="center">2022</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">durva+treme+ct</td>
<td valign="middle" align="center">durva+treme</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">301</td>
<td valign="middle" align="center">16.6</td>
<td valign="middle" align="center">155</td>
<td valign="middle" align="center">146</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">92</td>
<td valign="middle" align="center">209</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">Choice-01</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2023</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">toripa+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">2:1</td>
<td valign="middle" align="center">465</td>
<td valign="middle" align="center">16.2</td>
<td valign="middle" align="center">280</td>
<td valign="middle" align="center">185</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">102</td>
<td valign="middle" align="center">363</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">CM 9LA</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">nivo+ipi+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">719</td>
<td valign="middle" align="center">64.5</td>
<td valign="middle" align="center">354</td>
<td valign="middle" align="center">295</td>
<td valign="middle" align="center">70</td>
<td valign="middle" align="center">227</td>
<td valign="middle" align="center">492</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">CM 026</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2017</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">&#x2265;1%</td>
<td valign="middle" align="center">nivo</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">541</td>
<td valign="middle" align="center">13.5</td>
<td valign="middle" align="center">281</td>
<td valign="middle" align="center">198</td>
<td valign="middle" align="center">62</td>
<td valign="middle" align="center">178</td>
<td valign="middle" align="center">357</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">CM227 part 1</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2021</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">nivo+ipi</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">1739</td>
<td valign="middle" align="center">29.3</td>
<td valign="middle" align="center">912</td>
<td valign="middle" align="center">642</td>
<td valign="middle" align="center">185</td>
<td valign="middle" align="center">596</td>
<td valign="middle" align="center">1131</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">OS</td>
</tr>
<tr>
<td valign="middle" align="center">CM227 part 2</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2023</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">nivo+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">755</td>
<td valign="middle" align="center">19.5</td>
<td valign="middle" align="center">410</td>
<td valign="middle" align="center">274</td>
<td valign="middle" align="center">71</td>
<td valign="middle" align="center">239</td>
<td valign="middle" align="center">510</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">OS</td>
</tr>
<tr>
<td valign="middle" align="center">EmpowerLung 1</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">&#x2265;50%</td>
<td valign="middle" align="center">cemi</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">710</td>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">390</td>
<td valign="middle" align="center">320</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">192</td>
<td valign="middle" align="center">518</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">EmpowerLung 3</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2023</td>
<td valign="middle" align="center">Any</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">Cemi+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">2:1</td>
<td valign="middle" align="center">466</td>
<td valign="middle" align="center">28.4</td>
<td valign="middle" align="center">278</td>
<td valign="middle" align="center">188</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">69</td>
<td valign="middle" align="center">393</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">GEMSTONE</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2023</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">Suge+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">2:1</td>
<td valign="middle" align="center">479</td>
<td valign="middle" align="center">25.4</td>
<td valign="middle" align="center">293</td>
<td valign="middle" align="center">186</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">84</td>
<td valign="middle" align="center">395</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">NCT01285609</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2017</td>
<td valign="middle" align="center">SQ</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">ipi+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">749</td>
<td valign="middle" align="center">12.5</td>
<td valign="middle" align="center">380</td>
<td valign="middle" align="center">298</td>
<td valign="middle" align="center">71</td>
<td valign="middle" align="center">259</td>
<td valign="middle" align="center">485</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">OS</td>
</tr>
<tr>
<td valign="middle" align="center">IM 110</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2021</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">&#x2265;50%</td>
<td valign="middle" align="center">atezo</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">205</td>
<td valign="middle" align="center">31.3</td>
<td valign="middle" align="center">102</td>
<td valign="middle" align="center">80</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">74</td>
<td valign="middle" align="center">132</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS</td>
</tr>
<tr>
<td valign="middle" align="center">IM130</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2019</td>
<td valign="middle" align="center">NSQ</td>
<td valign="middle" align="center">Any</td>
<td valign="middle" align="center">atezo+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">2:1</td>
<td valign="middle" align="center">723</td>
<td valign="middle" align="center">18.5</td>
<td valign="middle" align="center">362</td>
<td valign="middle" align="center">276</td>
<td valign="middle" align="center">85</td>
<td valign="middle" align="center">297</td>
<td valign="middle" align="center">424</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">IM 131</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">SQ</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">atezo+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">678</td>
<td valign="middle" align="center">26.8</td>
<td valign="middle" align="center">306</td>
<td valign="middle" align="center">293</td>
<td valign="middle" align="center">77</td>
<td valign="middle" align="center">219</td>
<td valign="middle" align="center">458</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">IM 132</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">NSQ</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">atezo+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">578</td>
<td valign="middle" align="center">28.4</td>
<td valign="middle" align="center">320</td>
<td valign="middle" align="center">257</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">240</td>
<td valign="middle" align="center">336</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">Innovent</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">NSQ</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">sinti+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">2:1</td>
<td valign="middle" align="center">397</td>
<td valign="middle" align="center">8.9</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">110</td>
<td valign="middle" align="center">287</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">PFS</td>
</tr>
<tr>
<td valign="middle" align="center">Javelin lung 100</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">&#x2265;1%</td>
<td valign="middle" align="center">avelumab</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">892</td>
<td valign="middle" align="center">48.8</td>
<td valign="middle" align="center">198</td>
<td valign="middle" align="center">169</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">314</td>
<td valign="middle" align="center">575</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">KN 024</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">&#x2265;50%</td>
<td valign="middle" align="center">Pembro</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">305</td>
<td valign="middle" align="center">59.9</td>
<td valign="middle" align="center">164</td>
<td valign="middle" align="center">141</td>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">108</td>
<td valign="middle" align="center">197</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">KN 042</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2022</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">&#x2265;1%</td>
<td valign="middle" align="center">Pembro</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">1274</td>
<td valign="middle" align="center">61.1</td>
<td valign="middle" align="center">707</td>
<td valign="middle" align="center">567</td>
<td valign="middle" align="center">129</td>
<td valign="middle" align="center">390</td>
<td valign="middle" align="center">884</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS</td>
</tr>
<tr>
<td valign="middle" align="center">KN 189</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2021</td>
<td valign="middle" align="center">NSQ</td>
<td valign="middle" align="center">Any</td>
<td valign="middle" align="center">pembro+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">2:1</td>
<td valign="middle" align="center">616</td>
<td valign="middle" align="center">31.0</td>
<td valign="middle" align="center">312</td>
<td valign="middle" align="center">304</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">266</td>
<td valign="middle" align="center">346</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">KN 407</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">SQ</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">pembro+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">559</td>
<td valign="middle" align="center">14.3</td>
<td valign="middle" align="center">254</td>
<td valign="middle" align="center">305</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">163</td>
<td valign="middle" align="center">396</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">KN 598</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">&#x2265;50%</td>
<td valign="middle" align="center">pembro+ipi</td>
<td valign="middle" align="center">pembro</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">568</td>
<td valign="middle" align="center">20.6</td>
<td valign="middle" align="center">281</td>
<td valign="middle" align="center">287</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">205</td>
<td valign="middle" align="center">363</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">Mystic trial</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2020</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">&#x2265;25%</td>
<td valign="middle" align="center">durva</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">488</td>
<td valign="middle" align="center">30.2</td>
<td valign="middle" align="center">163</td>
<td valign="middle" align="center">162</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">127</td>
<td valign="middle" align="center">196</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">OS</td>
</tr>
<tr>
<td valign="middle" align="center">Neptune</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2023</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">durva+treme</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1;1</td>
<td valign="middle" align="center">823</td>
<td valign="middle" align="center">32.9</td>
<td valign="middle" align="center">436</td>
<td valign="middle" align="center">387</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">314</td>
<td valign="middle" align="center">507</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS</td>
</tr>
<tr>
<td valign="middle" align="center">Nippon</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">pembro+ct</td>
<td valign="middle" align="center">nivo+ipi+ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">295</td>
<td valign="middle" align="center">15.3</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">47</td>
<td valign="middle" align="center">136</td>
<td valign="middle" align="center">159</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">Orient-11</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2021</td>
<td valign="middle" align="center">NSQ</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">sinti+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">2:1</td>
<td valign="middle" align="center">397</td>
<td valign="middle" align="center">22.9</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">108</td>
<td valign="middle" align="center">289</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS, PFS</td>
</tr>
<tr>
<td valign="middle" align="center">Orient-12</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2021</td>
<td valign="middle" align="center">SQ</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">sinti+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">357</td>
<td valign="middle" align="center">12.9</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">52</td>
<td valign="middle" align="center">305</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">PFS</td>
</tr>
<tr>
<td valign="middle" align="center">Poseidon part 1</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">durva+treme+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">675</td>
<td valign="middle" align="center">63.4</td>
<td valign="middle" align="center">367</td>
<td valign="middle" align="center">308</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">229</td>
<td valign="middle" align="center">446</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS</td>
</tr>
<tr>
<td valign="middle" align="center">Poseidon part 2</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2024</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">durva+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">675</td>
<td valign="middle" align="center">63.4</td>
<td valign="middle" align="center">345</td>
<td valign="middle" align="center">330</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">228</td>
<td valign="middle" align="center">447</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">OS</td>
</tr>
<tr>
<td valign="middle" align="center">Rationale 304</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2021</td>
<td valign="middle" align="center">NSQ</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">tisle+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">2:1</td>
<td valign="middle" align="center">334</td>
<td valign="middle" align="center">9.8</td>
<td valign="middle" align="center">237</td>
<td valign="middle" align="center">97</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">78</td>
<td valign="middle" align="center">256</td>
<td valign="middle" align="center">/</td>
<td valign="middle" align="center">PFS</td>
</tr>
<tr>
<td valign="middle" align="center">Rationale 307</td>
<td valign="middle" align="center">Phase 3</td>
<td valign="middle" align="center">2021</td>
<td valign="middle" align="center">SQ</td>
<td valign="middle" align="center">any</td>
<td valign="middle" align="center">tisle+ct</td>
<td valign="middle" align="center">ct</td>
<td valign="middle" align="center">1:1</td>
<td valign="middle" align="center">360</td>
<td valign="middle" align="center">8.6</td>
<td valign="middle" align="center">166</td>
<td valign="middle" align="center">75</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">63</td>
<td valign="middle" align="center">178</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">PFS</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The table summarizes key features of each trial included in the analysis. Missing data are indicated as not available (NA), reflecting information not reported in the original publications. RCT, randomized clinical trial; PD-L1, programmed death-ligand 1; PS, performance status; SQ, squamous; NSQ, non squamous; serplu, serplulimab; ct, chemotherapy; camre, camrelizumab; durva, durvalumab; treme, tremelimumab; toripa, toripalimab; nivo, nivolumab; ipi, ipilimumab; cemi, cemiplimab; suge, sugemalimab; atezo, atezolizumab; sinti, sintilimab; pembro, pembrolizumab; tisle, tislelizumab; OS, overall survival; PFS, progression-free survival.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Pairwise meta-analysis</title>
<p>To compare ICIs-based therapy with CT, a pairwise analysis stratified by patient age and PS was carried out. ICIs-based regimens were associated with a statistically significant reduction in the risk of death (&lt;65 years: HR vs CT 0,75; 95% CI 0.68-0.82; &#x2265;65 years: HR Vs CT 0.80; 95% CI 0.76-0.85; PS 0: HR Vs CT 0.87; 95% CI 0.68-0.80; PS 1: HR Vs CT 0.77; 95% CI 0.72-0.83) and disease progression (&lt;65y: HR vs CT 0.58; 95% CI 0.51-0.65; &#x2265;65y: HR Vs CT 0.63; 95% CI 0.57-0.70; PS 0: HR Vs CT 0.62; 95% CI 0.51-0.75; PS 1: HR Vs CT 0.59; 95% CI 0.54-0.65) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S4</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S5</bold>
</xref>). Across all subgroups, the impact of ICIs-based therapy on reducing the risk of disease progression was greater than its effect on OS. ICI monotherapy appeared to perform better in OS in patients with &#x2265;65 years (HR 0.76; 95% CI 0.65-0.88), whereas in patients &lt;65 years ICI plus CT were more effective. In younger patients, ICI/CT demonstrated a 58% reduction in the risk of death, compared to 16% for single ICI and 27% for dual ICI/CT. The combination of dual ICIs without CT did not improve OS compared to CT alone, although this finding is based on two studies only. Instead, for older patients, ICI monotherapy showed a slight advantage. In the &lt;65 years subgroup, ICI/CT was also superior for PFS, as for OS (HR 0.54). Notably, in the &#x2265;75 years population, ICI-based regimens were not associated with a statistically significant OS benefit compared to CT alone, though this data is based on few studies and patients (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5</bold>
</xref>), resulting in low statistical power and limiting the certainty of this finding. PFS could not be analyzed in this subgroup due to insufficient data. Regarding PS, OS differences were minimal between groups, whereas for PFS, ICI/CT performed slightly better in both PS 0 and PS 1 patients (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S6</bold>
</xref>). Finally, breaking down the studies by ICIs type, anti-PD-1 therapy whether alone or in combination, performed better in OS than anti-PDL1 or anti-CTLA4 regimens (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S6</bold>
</xref>). A graphical summary of the pairwise meta-analysis results was shown 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>Graphical summary of pairwise meta-analysis results. Overall effect and results grouped by therapeutic regimen for OS and PFS.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1635056-g001.tif">
<alt-text content-type="machine-generated">A table presenting hazard ratios (HR) and p-values for overall survival (OS) and progression-free survival (PFS) across different treatment approaches in various age groups and performance status. Data are presented as an overall effect of immunotherapy based-regimen and the stratified by treatment type: single ICI, dual ICI, ICI combined with chemotherapy (ICI+CT), and dual ICI with chemotherapy (Dual ICI+CT).  Data is categorized by age groups (&lt;65y, &gt;65y, &gt;75y) and performance status (PS 0, PS 1). Each subgroup has specific HR values with confidence intervals and accompanying p-values for both OS and PFS.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>NMA age analysis: OS and PFS</title>
<p>In the NMA analysis, pembrolizumab+CT (HR Vs CT 0.20; 95% CrI 0.09-0.45; SUCRA 94,1%), cemiplimab+CT (HR Vs CT 0.22; 95% CrI 0.09-0.56; SUCRA 89%) and camrelizumab+CT (HR Vs CT 0.28; 95% CrI 0.12-0.62; SUCRA 81,3%) ranked highest for OS in patients with &lt;65 years. For patients &#x2265;65 years, cemiplimab monotherapy ranked first in OS (HR 0.27; 95% CrI 0.17-0.41; SUCRA 99,5%) reaching statistical significance in most comparisons. Similar to the pairwise meta-analysis and facing the same statistical limitations, the NMA confirmed that in patients aged &#x2265;75 years, ICIs-based therapy did not improve OS compared to CT (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S7</bold>
</xref>). For PFS analysis, camrelizumab+CT (HR 0.14; 95% CrI 0.05-0.38; SUCRA 86,4%) and pembrolizumab+CT (HR 0.15; 95% CrI 0.05-0.43; SUCRA 81.3%) ranked highest for patients &lt;65 years. In contrast, pembrolizumab monotherapy had the highest probability of being the best treatment for reducing the risk of progression in patients &#x2265;65 years (HR 0.14; 95% CrI 0.10-0.19; SUCRA 90%) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8</bold>
</xref>). Treatments with available data for both OS and PFS were compared using SUCRA rankings, visualized in a grouped heatmap and sorted by mean SUCRA value. Notably, in patients with &lt;65 years, ICI/CT combinations had the highest probability of being the most effective in reducing the risk of death, while in patients with &#x2265;65 years, ICI monotherapy ranked first (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Hazard ratios and 95% CrI for OS of the NMA in age cohorts. The results are presented as column-defined treatment versus row-defined treatment.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1635056-g002.tif">
<alt-text content-type="machine-generated">A comparative chart displays treatment efficacy across different age groups: 65 and older, under 65, and 75 and older. Rows and columns list treatments like &#x201c;nivo&#x201d;, &#x201c;ipi+ct&#x201d;, and &#x201c;pembro&#x201d;. Each cell includes a hazard ratio (HR) and credible interval (CrI) indicating comparative outcomes for treatment combinations. The results are presented as column-defined treatment Vs row defined-treatment. The chart uses orange, blue, and green shading for visual separation among age categories.</alt-text>
</graphic>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Ranking of treatments based on NMA across age and PS subgroups. All of the SUCRA values for each regimen with regard to PFS and OS. An average SUCRA and the average ranking are provided.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1635056-g003.tif">
<alt-text content-type="machine-generated">Heatmap showing SUCRA values for age groups under and over 65 years, and performance status PS 0 and PS 1. Treatments are listed on the left, with columns for Overall Survival (OS), Progression-Free Survival (PFS), and Mean scores. Values range from low red to high green, indicating treatment effectiveness. Color gradient on the right scales from 0 to 100.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>NMA PS analysis: OS and PFS</title>
<p>In terms of reducing the risk of death in patients with PS 0, cemiplimab/CT ranked first in NMA with a statistically significant advantage over all other treatments (HR Vs CT 0.05; 95% CrI 0.02-0.12; SUCRA 100%). In contrast, pembrolizumab/CT ranked second (HR Vs CT 0.22; 95% CrI 0.10-0.49; SUCRA 87,4%) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S9</bold>
</xref>). Instead, for patients with PS 1, cemiplimab ranked first in OS. However, both pembrolizumab/CT and cemiplimab/CT performed worse in PS 1 patients compared to those with PS 0. Conversely, pembrolizumab monotherapy ranked higher in the PS 0 subgroup. For PFS, camrelizumab/CT and cemiplimab/CT ranked first. Notably, all ICIs-based treatments outperformed CT (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S9</bold>
</xref>). A grouped heatmap for PS is shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>, highlighting that in PS 0 patients ICI/CT combinations had the highest probability of being the best treatment for both OS and PFS. Meanwhile, in PS 1 patients, cemiplimab monotherapy ranked first.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Network plot of direct (right) and indirect (left) comparison of the studies included in the analysis for OS <bold>(A)</bold> and PFS <bold>(B)</bold> in the PS cohort. Each circular node represents a treatment type. The thickness of the lines is proportional to the number of patients in head-to-head comparisons.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1635056-g004.tif">
<alt-text content-type="machine-generated">Two network diagrams labeled A and B display network plots of the studies included in the Performance Status (PS) analysis for Overall Survival (OS) and Progression Free Survival (PFS). Diagram A shows network plot for OS, while Diagram B shows network plot for PFS. Both diagrams feature similar treatment abbreviations like &#x201c;durva,&#x201d; &#x201c;nivo,&#x201d; and &#x201c;pembro,&#x201d; with varying node sizes and line thicknesses indicating the strength or frequency of connections. The layout is circular and mirrored in each panel, highlighting differences in treatment relationships.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>IT with ICIs has become a cornerstone in the treatment of advanced/metastatic NSCLC. There is growing interest in defining the efficacy and safety of this approach in older and frail patients, identifying the most effective treatments in this setting. Due to the poorly characterized immune-senescence phenomenon, it remains unclear whether ICIs-based treatments are less effective in older patients. Aging-related changes in the immune system, collectively known as immune-senescence, may contribute to resistance to IT (<xref ref-type="bibr" rid="B37">37</xref>). Thymic involution and chronic antigenic stimulation cause naive T cells to convert into virtual memory cells, potentially impairing immune responses to pathogens and tumors. Additionally, the reduced number of naive CD8+ T cells, along with an increase in antigen-experienced CD4+ and CD8+ T cells, leads to a diminished capacity to respond to newly encountered antigens. Furthermore, decrease of costimulatory signals (like CD28 and CD27 on T cell) or the upregulation of Tim-3 and CD57 were described in the elderly and have been linked to reduced response to ICIs (<xref ref-type="bibr" rid="B38">38</xref>). Immune-senescence phenomenon involves also B cells and innate immune response (<xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>Despite this, individual clinical trials have shown a similar survival benefit of ICIs compared to CT across younger and older patients with an acceptable safety profile, based however on underpowered <italic>post-hoc</italic> analyses unable to definitely address this crucial point. At this aim, this systematic review and meta-analysis were carried out to summarize and rank the efficacy of first line ICIs-based treatments in advanced/metastatic NSCLC, considering age and PS. Our findings confirmed that ICIs-based regimens significantly improved OS and PFS compared to CT in all subgroups, with a greater impact on PFS. A previous meta-analysis by Zhou et&#xa0;al. found that PFS benefits were more pronounced than OS benefit in the first-line setting, whereas the opposite was observed in later treatments lines (<xref ref-type="bibr" rid="B40">40</xref>). For patients over 75 years, our analysis did not demonstrate a statistically significant OS benefit of ICIs over CT. This finding may be due to limited data and small sample size of this subgroup, thereby limiting the confidence in the observed outcome. PFS could not be analyzed due to insufficient data (only 3 studies). Notably, only IM-131 (<xref ref-type="bibr" rid="B25">25</xref>) reported a statistical significant PFS (77 patients), whereas CM-9LA (70 patients) and NIPPON (47 patients) showed negative outcomes (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Caution is required in interpreting these results, and validation in larger cohorts of elderly patients is needed.</p>
<p>In older patients, ICI monotherapy seems to perform better in the pairwise as well as NMA, while ICI+CT was the best strategy in younger patients. In patients aged over 65 years ICI+CT (pembrolizumab+CT, cemiplimab+CT and camrelizumab+CT) ranked highest in OS, though without statistical significance in all comparisons. In patients over 65 years cemiplimab monotherapy ranked first in OS with statistical significance for most comparisons. For PFS, camrelizumab+CT and pembrolizumab+CT ranked highest in &lt;65 years (with a statistical significance only over nivolumab, CT, durvalumab+tremelimumab, avelumab, and atezolizumab+CT) whereas pembrolizumab monotherapy had the highest probability of reducing disease progression in &#x2265;65 years (non-statistically significant comparisons: pembrolizumab+ipilimumab, camrelizumab+CT, cemiplimab, toripalimab+CT, serplulimab+CT). When stratified by PS, OS differences between PS 0 and PS 1 were minimal whereas for PFS ICI/CT performed slightly better in both PS 0 and PS 1. In PS 0 patients, cemiplimab+CT ranked first in OS (statistically significant vs. all treatments) with pembrolizumab+CT ranked second. In PS 1, cemiplimab monotherapy performed best in OS, while cemiplimab+CT and pembrolizumab+CT performed worse than in PS 0.</p>
<p>These rankings led us to conclude that: i) combination therapies appear more effective in younger and fit patients, potentially due to a stronger immune response and/or better treatment tolerance; ii) mono immune-therapy appeared more effective in older and PS 1 patients, likely reflecting a different benefit-risk balance and reduced treatment tolerance. Furthermore, our analysis of ICIs type demonstrated that anti-PD1 therapy (alone or in combination), outperformed anti-PD-L1 and anti-CTLA-4 regimens in OS.</p>
<p>Unlike previous meta-analyses investigating this field, our study provides a more comprehensive comparison of available treatment strategies in this setting, including the largest number of RCTs and the most recent data updates. Moreover, at the best of our knowledge this is the first NMA considering both age and PS to investigate the frailty scenario.</p>
<p>Our results should be evaluated in the current landscape of studies focused on the relevance of age and PS. Landre et&#xa0;al. performed a NMA considering only patients over 65 years, demonstrating OS and PFS benefit of the anti-PD-1/PD-L1 plus CT, but with no consistent evidence in patients aged over 75 years (<xref ref-type="bibr" rid="B41">41</xref>). In a NMA focused only on older patients with PDL-1 &#x2265;50%, cemiplimab monotherapy emerged as the preferred treatment strategy, consistent with our previous findings (<xref ref-type="bibr" rid="B42">42</xref>). Instead, Sun et&#xa0;al. found similar OS efficacy across age groups but no PFS benefit in either young and older patients (though their analysis included only 8 trials) (<xref ref-type="bibr" rid="B43">43</xref>). Regarding PS, an interesting meta-analysis in real-world advanced NSCLC patients with PS &#x2265;2 reported detrimental effects of ICIs therapy on OS, PFS and ORR, raising concerns about treatment suitability in frail patients (<xref ref-type="bibr" rid="B42">42</xref>). All together these studies support our finding of relevant role of age and PS in predicting effectiveness of immune-oncology strategies. However, it should be emphasized the under-representation of frail patients in clinical trials, limiting the applicability of trials data in real-world clinical practice. Chronological age and PS alone do not fully capture a patient&#x2019;s condition; a comprehensive, multidisciplinary evaluation is necessary to assess overall PS and health. PS deterioration may result from various factors, including disease burden, comorbidities, age, and the overall frailty, making it critical to differentiate between cancer-related PS decline and other underlying conditions. Comprehensive Geriatric Assessment (CGA) represents a well-established, multidimensional approach for evaluating older patients. Initially developed within geriatrics, CGA has been increasingly applied in oncology to guide treatment decisions in elderly cancer patients and to better characterize frailty (<xref ref-type="bibr" rid="B44">44</xref>). Recent prospective data in elderly NSCLC patients undergoing CGA suggest that frailty, comorbidities, and low albumin levels are associated with worse survival outcomes and higher toxicity, highlighting the importance of CGA-guided treatment decisions (<xref ref-type="bibr" rid="B45">45</xref>). Among elderly patients, safety concerns remain a key consideration due to impaired renal and/or cardiac function, increased comorbidities, declining organ function and cognitive impairment (<xref ref-type="bibr" rid="B46">46</xref>). Studies suggest that ICIs safety profile is comparable between older/frail and fit patients, though CT-based combinations inevitably increase toxicity (<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). Therefore, adequate geriatric screening is essential to prevent both over- or under-treatment in this population.</p>
<p>Several limitations of this meta-analysis should be acknowledged. Firstly, data were extrapolated from published RCTs rather than individual patient data. Heterogeneity was evident when pooling data across different ICIs or CT backbone, trial design, histology and PD-L1 expression. Formal analyses of safety and toxicity stratified by age/PS could not be performed because data were not reported in clinical trials. Additionally, several data points relied on <italic>post-hoc</italic> analyses and ongoing trials have yet to report survival outcomes, introducing potential bias. Longer follow-up is needed to fully assess the long-term impact of ICIs on OS. Furthermore, in older patients (&#x2265;75 years), non-cancer-related mortality may significantly interfere with OS outcomes in phase III trials.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>This systematic review and meta-analysis confirmed that ICI-based therapy significantly improved OS and PFS compared to CT across all subgroups, except for patients with &#x2265;75 years. The best treatment strategy seems to vary by age and PS, with ICI monotherapy being most effective in older/PS 1 patients, while ICI+CT combinations performed better in younger/PS 0 patients. In conclusion, there is an urgent need to design future RCTs focusing on the use of IT in frail populations as a whole, improving patients stratification using geriatric tools. Considering that the rate of end-of-life IT is increasing, this could guide the clinicians in discriminating situations of over- or under-treatment, providing recommendations for clinical practice in selecting optimal strategies in these patients.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>MAS: Conceptualization, Writing &#x2013; original draft, Formal Analysis. Md&#x2019;A: Writing &#x2013; review &amp; editing. TD: Writing &#x2013; review &amp; editing. GC: Writing &#x2013; original draft, Formal Analysis. FG: Writing &#x2013; review &amp; editing.  GP: Writing &#x2013; review &amp; editing. RG:Writing &#x2013; review &amp; editing. PTas: Writing &#x2013; review &amp; editing, Supervision. VB: Writing &#x2013; review &amp; editing. PTag: Writing &#x2013; review &amp; editing, Supervision.</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>This manuscript has been supported by Institutional funds.</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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2025.1635056/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1635056/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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