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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2024.1407001</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A systematic review and meta-analysis on utilizing anti-CD19 chimeric antigen receptor T-cell therapy as a second-line treatment for relapsed and refractory diffuse large B-cell lymphoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Asghar</surname>
<given-names>Kanwal</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zafar</surname>
<given-names>Maryam</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Holland</surname>
<given-names>Eva</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Abduljabbar</surname>
<given-names>Ali Bin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Albagoush</surname>
<given-names>Sara A.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1576469"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Asghar</surname>
<given-names>Noureen</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/2698710"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sood</surname>
<given-names>Akshat</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dufani</surname>
<given-names>Jalal M.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thirumalaredy</surname>
<given-names>Joseph</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>DeVrieze</surname>
<given-names>Bradley</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tauseef</surname>
<given-names>Abubakar</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Husnain</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Medicine, Dow Medical College</institution>, <addr-line>Karachi</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Medicine, Creighton University</institution>, <addr-line>Omaha, NE</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Internal Medicine, Creighton University</institution>, <addr-line>Omaha, NE</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Medicine, University of Arizona</institution>, <addr-line>Tucson, AZ</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Alessandro Isidori, AORMN Hospital, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Lazaros Lekakis, University of Miami, United States</p>
<p>Pooria Safarzadeh Kozani, Tarbiat Modares University, Iran</p>
<p>Pouya Safarzadeh Kozani, Tarbiat Modares University, Iran</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Noureen Asghar, <email xlink:href="mailto:noureenasghar@creighton.edu">noureenasghar@creighton.edu</email>; Eva Holland, <email xlink:href="mailto:emh90000@creighton.edu">emh90000@creighton.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>07</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1407001</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>06</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Asghar, Zafar, Holland, Abduljabbar, Albagoush, Asghar, Sood, Dufani, Thirumalaredy, DeVrieze, Tauseef and Husnain</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Asghar, Zafar, Holland, Abduljabbar, Albagoush, Asghar, Sood, Dufani, Thirumalaredy, DeVrieze, Tauseef and Husnain</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>Introduction</title>
<p>Inconsistent results observed in recent phase III trials assessing chimeric antigenic receptor T (CAR-T) cell therapy as a second-line treatment compared to standard of care (SOC) in patients with relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL) prompted a meta-analysis to assess the effectiveness of CAR-T cell therapy in this setting.</p>
</sec>
<sec>
<title>Methods</title>
<p>Random-effects meta-analysis was conducted to pool effect estimates for comparison between CAR-T cell therapy and SOC. Mixed treatment comparisons were made using a frequentist network meta-analysis approach.</p>
</sec>
<sec>
<title>Results</title>
<p>Meta-analysis of three trials with 865 patients showed significant improvement in event-free survival (EFS: HR: 0.51; 95% CI: 0.27-0.97; I2: 92%), progression-free survival (PFS: HR: 0.47; 95% CI: 0.37-0.60; I2: 0%) with CAR-T cell therapy compared to SOC. Although there was a signal of potential overall survival (OS) improvement with CAR-T cell therapy, the difference was not statistically significant between the two groups (HR 0.76; 95% CI: 0.56 to 1.03; I2: 29%). Mixed treatment comparisons showed significant EFS benefit with liso-cel (HR: 0.37; 95% CI: 0.22-0.61) and axi-cel (HR: 0.42; 95% CI: 0.29-0.61) compared to tisa-cel.</p>
</sec>
<sec>
<title>Discussion</title>
<p>CAR-T cell therapy, as a second-line treatment, appears to be effective in achieving higher response rates and delaying the disease progression compared to SOC in R/R DLBCL.</p>
</sec>
</abstract>
<kwd-group>
<kwd>DLBCL - diffuse large B cell lymphoma</kwd>
<kwd>CAR-T cell therapy</kwd>
<kwd>relapsed and refractory</kwd>
<kwd>second line treatment</kwd>
<kwd>standard of care</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="21"/>
<page-count count="10"/>
<word-count count="5419"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Hematologic Malignancies</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Diffuse large B cell lymphoma (DLBCL), an aggressive subtype of non-Hodgkin lymphoma, is a curable disease, with long term remissions seen in 60-70% of patients treated with the standard first-line rituximab-based chemoimmunotherapy (CIT) (<xref ref-type="bibr" rid="B1">1</xref>). For patients with refractory and/or relapsed disease, the standard of care (SOC) consists of high dose chemotherapy followed by autologous stem cell transplantation (ASCT) in patients with chemosensitive disease. Nearly half of these patients can achieve long term remission with ASCT (<xref ref-type="bibr" rid="B2">2</xref>). In contrast, patients who are refractory to first line treatment or relapse shortly after, have dismal outcomes with median overall survival of 6 months (<xref ref-type="bibr" rid="B1">1</xref>). In current practice, patients who do not respond to salvage chemotherapy (therefore unable to proceed to ASCT) or relapse after ASCT can be treated with an approved anti CD-19 chimeric antigen receptor T cell (CAR-T) therapy such as axicabtagene ciloleucel (axi-cel), lisocabtangene maraleucel (liso-cel), and tisagenlecleucel (tisa-cel) in third line setting or later (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Recently, three randomized controlled trials (RCTs) TRANSFORM (<xref ref-type="bibr" rid="B6">6</xref>), ZUMA-7 (<xref ref-type="bibr" rid="B7">7</xref>), and BELINDA (<xref ref-type="bibr" rid="B8">8</xref>) were conducted in hopes to establish CAR-T as the second line of treatment in DLBCL. These trials compared the outcomes of anti-CD19 CAR-T cell therapy against SOC in patients with either primary refractory DLBCL or relapsing within 12 months after first line CIT. TRANSFORM (<xref ref-type="bibr" rid="B6">6</xref>) and ZUMA-7 (<xref ref-type="bibr" rid="B7">7</xref>) reported positive outcomes of CAR-T cell therapy with respect to event free survival compared to SOC while in BELINDA trial (<xref ref-type="bibr" rid="B8">8</xref>), CAR-T cell therapy failed to improve event free survival compared to SOC. Thus, we performed a meta-analysis to quantify the relative and absolute benefit of CAR-T cell therapy compared to SOC as second line treatment for R/R DLBCL.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<p>This systematic review and meta-analysis is reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement (<xref ref-type="bibr" rid="B9">9</xref>) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>eMethods 1efd</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>PRISMA flowchart outlining the process of study selection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1407001-g001.tif"/>
</fig>
<sec id="s2_1">
<title>Search strategy and selection criteria</title>
<p>Using the Ovid interface, MEDLINE(R) and Epub Ahead of Print, In-Process &amp; Other Non-Indexed Citations, and Daily; EMBASE; Cochrane Central Register of Controlled Trials; Cochrane Database of Systematic Reviews were searched from each database inception through February 11<sup>th</sup>, 2022 to identify full-text or abstract publications of phase III randomized controlled trials (RCTs) assessing the effectiveness of CAR-T cell therapy in patients with previously treated DLBCL as compared to standard of care (SOC) (<xref ref-type="supplementary-material" rid="SM1">
<bold>eMethods 2 in the Supplementary</bold>
</xref>). Additionally, an updated search was conducted on July 1<sup>st</sup> through Google Scholar to identify new trials. Non-randomized clinical trials, phase I/II/IV and observational studies, and articles in non-English language were excluded. Two independent reviewers (MZ and NA) screened relevant trials. Any discrepancy between the two reviewers were resolved by consensus and with input from a third reviewer (MH).</p>
</sec>
<sec id="s2_2">
<title>Data extraction and quality assessment</title>
<p>Data was then extracted from the trials deemed eligible for inclusion using a pre-defined structured data collection instrument. The extracted data included (but was not limited to) baseline trial characteristics (study identification information, year of publication, trial design, number of arms, type of CAR-T cell product, and primary endpoint), population characteristics (age, total number of participants in each arm, histologic types, and disease status at entry), and outcome results. Two reviewers (MZ and NA) independently carried out the process of data extraction and subsequently assessed risk of bias in these studies using Cochrane Risk of Bias tool version 2 (<xref ref-type="bibr" rid="B10">10</xref>). Any disagreement between the reviewers were resolved by consensus and with input from a third reviewer (MH).</p>
</sec>
<sec id="s2_3">
<title>Outcomes of interest</title>
<p>Patient important efficacy endpoints included event-free survival (EFS), progression-free survival (PFS), overall survival (OS), objective response rate (ORR) including complete- and partial- response (CR and PR) while any adverse events, cytokine release syndrome (CRS) and neurological toxicity (NT) was assessed as safety outcomes.</p>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<sec id="s2_4_1">
<title>Pairwise meta-analysis</title>
<p>A DerSimonian-Laird random-effects meta-analysis was used. Precomputed hazard ratios (HR) with their corresponding 95% confidence intervals (95% CI) were pooled using an inverse-variance weighted approach after logarithmic transformation. Raw binary data were pooled using the Mantel-Haenszel weighted approach; treatment effects were expressed as relative risks (RRs) with associated 95% confidence intervals (CI). Trial level incidence rates for CAR-T specific safety outcomes (CRS and NT) were computed, and subsequently meta-analyzed using the Freeman-Tukey transformation method to estimate incidence of events. Clopper-Pearson method was used to estimate the associated 95% CI. Cochran&#x2019;s Q statistical test was used to assess the presence of statistically significant variance not explained by chance, while I<sup>2</sup> statistical test was used to quantify the total observed variability, due to between-study heterogeneity. I<sup>2</sup> values &gt;75% indicated substantial heterogeneity.</p>
<p>Since most patients in the SOC arm in the included trials (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>) did not respond to salvage chemotherapy and were not able to proceed to ASCT, we conducted a posthoc analysis to explore complete response rates in patients who received CAR-T cell therapy compared to those who managed to undergo ASCT.</p>
<p>Pre-specified subgroup analyses were conducted by age (&lt;65 and &gt;65 years), non-Hodgkin lymphoma (NHL) subtype, DLBCL molecular subtype (cell of origin), and prior response status. These analyses were subject to availability of data. A P-value of &lt;0.1 indicated statistically significant effect modification.</p>
</sec>
<sec id="s2_4_2">
<title>Mixed treatment comparisons</title>
<p>Mixed treatment comparisons were made using a network meta-analysis within the frequentist framework to assess comparative effectiveness of different CAR-T cell products; the choice of the meta-analytic model was made based on sparsity of direct evidence and geometric structure of the network; fixed-effect model was used if the direct evidence was sparse with open network as the assessment of between study heterogeneity is not reliable in such networks (<xref ref-type="bibr" rid="B11">11</xref>). Relative treatment rankings were evaluated using P-score and were assessed in congruency with pairwise estimates. Higher ranking indicated better effectiveness of a treatment. Mixed treatment comparisons for each outcome of interest were presented as a color-coded league table. All statistical analyses were conducted in R project for statistical computing (version 4.1.1).</p>
</sec>
</sec>
<sec id="s2_5">
<title>Certainty of evidence</title>
<p>Certainty of evidence for direct comparisons between CAR-T cell therapy and SOC was assessed using Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach (<xref ref-type="bibr" rid="B12">12</xref>). The effect estimates for each outcome were carefully examined for risk of bias, inconsistency, indirectness, imprecision, and publication bias. Corresponding risks with CAR-T cell therapy were estimated using the assumed baseline risk of an event with SOC (as abstracted from included trials) and relative effect estimates (from the results of this meta-analysis). Absolute risk difference was then calculated as the difference between the corresponding intervention risk and assumed risk with SOC.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>Of 1803 studies initially identified (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), three trials (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>) with a total of 865 patients and assessing axi-cel, tisa-cel, liso-cel were included in this systematic review and meta-analysis (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). The overall risk of bias for all studies was low (<xref ref-type="supplementary-material" rid="SM1">
<bold>eFigure&#xa0;1 in the Supplementary</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Description of trial characteristics and outcomes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">&#xa0;</th>
<th valign="top" colspan="2" align="center">ZUMA 7</th>
<th valign="top" colspan="2" align="center">TRANSFORM</th>
<th valign="top" colspan="2" align="center">BELINDA</th>
</tr>
<tr>
<th valign="top" align="center">Axi-cel group</th>
<th valign="top" align="center">SOC group</th>
<th valign="top" align="center">Liso-cel</th>
<th valign="top" align="center">SOC group</th>
<th valign="top" align="center">Tisa-cel</th>
<th valign="top" align="center">SOC group</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="7" align="left">Patient Characteristics</th>
</tr>
<tr>
<td valign="top" align="left">Total patients (N)</td>
<td valign="top" align="left">180</td>
<td valign="top" align="left">179</td>
<td valign="top" align="left">92</td>
<td valign="top" align="left">92</td>
<td valign="top" align="left">162</td>
<td valign="top" align="left">160</td>
</tr>
<tr>
<td valign="top" align="left">Median age (range) &#x2014; year</td>
<td valign="top" align="left">58 (21&#x2013;80)</td>
<td valign="top" align="left">60 (26&#x2013;81)</td>
<td valign="top" align="left">60 (53.5-67.5)</td>
<td valign="top" align="left">58 (42-65)</td>
<td valign="top" align="left">59.5 (19&#x2013;79)</td>
<td valign="top" align="left">58 (19&#x2013;77)</td>
</tr>
<tr>
<td valign="top" align="left">Age &#x2265;65 year &#x2014; no. (%)</td>
<td valign="top" align="left">51 (28)</td>
<td valign="top" align="left">58 (32)</td>
<td valign="top" align="left">36 (39)</td>
<td valign="top" align="left">25 (27)</td>
<td valign="top" align="left">54 (33)</td>
<td valign="top" align="left">46 (29)</td>
</tr>
<tr>
<td valign="top" align="left">Male &#x2014; no. (%)</td>
<td valign="top" align="left">110 (61)</td>
<td valign="top" align="left">127 (71)</td>
<td valign="top" align="left">44 (48)</td>
<td valign="top" align="left">61 (66)</td>
<td valign="top" align="left">103 (64)</td>
<td valign="top" align="left">98 (61)</td>
</tr>
<tr>
<th valign="top" colspan="7" align="left">Disease stage &#x2014; no. (%)&#xa0;</th>
</tr>
<tr>
<td valign="top" align="left">I or II</td>
<td valign="top" align="left">41 (23)</td>
<td valign="top" align="left">33 (18)</td>
<td valign="top" align="left">24 (26)</td>
<td valign="top" align="left">29 (31)</td>
<td valign="top" align="left">55 (34)</td>
<td valign="top" align="left">62 (39)</td>
</tr>
<tr>
<td valign="top" align="left">III or IV</td>
<td valign="top" align="left">139 (77)</td>
<td valign="top" align="left">146 (82)</td>
<td valign="top" align="left">68 (74)</td>
<td valign="top" align="left">63 (68)</td>
<td valign="top" align="left">107 (66)</td>
<td valign="top" align="left">98 (61)</td>
</tr>
<tr>
<th valign="top" colspan="7" align="left">Histological type &#x2014; no. (%)&#xa0;</th>
</tr>
<tr>
<td valign="top" align="left">DLBCL, NOS</td>
<td valign="top" align="left">126 ( 70)</td>
<td valign="top" align="left">120 (67)</td>
<td valign="top" align="left">53 (58)</td>
<td valign="top" align="left">49 (53)</td>
<td valign="top" align="left">101 (62)</td>
<td valign="top" align="left">112 (70)</td>
</tr>
<tr>
<td valign="top" align="left">HGBL, DH</td>
<td valign="top" align="left">31 (17)</td>
<td valign="top" align="left">25(14)</td>
<td valign="top" align="left">22 (24)</td>
<td valign="top" align="left">21 (23)</td>
<td valign="top" align="left">32 (20)</td>
<td valign="top" align="left">19 (12)</td>
</tr>
<tr>
<td valign="top" align="left">HGBL, NOS</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">1 (1)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">7 (4)</td>
<td valign="top" align="left">8 (5)</td>
</tr>
<tr>
<td valign="top" align="left">FL grade 3B</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">1 (1)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">5 (3)</td>
<td valign="top" align="left">1 (1)</td>
</tr>
<tr>
<td valign="top" align="left">PMBL</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">8 (9)</td>
<td valign="top" align="left">10 (11)</td>
<td valign="top" align="left">12 (7)</td>
<td valign="top" align="left">13 (8)</td>
</tr>
<tr>
<td valign="top" align="left">Other or missing</td>
<td valign="top" align="left">23 (13)</td>
<td valign="top" align="left">33 (18)</td>
<td valign="top" align="left">8 (9)</td>
<td valign="top" align="left">12 (13)</td>
<td valign="top" align="left">5 (3)</td>
<td valign="top" align="left">7 (4)</td>
</tr>
<tr>
<th valign="top" colspan="7" align="left">Molecular Subgroup &#x2014; no. (%)</th>
</tr>
<tr>
<td valign="top" align="left">Germinal center B-cell&#x2013;like</td>
<td valign="top" align="left">109 (61)</td>
<td valign="top" align="left">99 (55)</td>
<td valign="top" align="left">45 (49)</td>
<td valign="top" align="left">40 (43)</td>
<td valign="top" align="left">46 (28)</td>
<td valign="top" align="left">63 (39)</td>
</tr>
<tr>
<td valign="top" align="left">Activated B-cell&#x2013;like</td>
<td valign="top" align="left">16 (9)</td>
<td valign="top" align="left">9 (5)</td>
<td valign="top" align="left">21 (23)</td>
<td valign="top" align="left">29 (32)</td>
<td valign="top" align="left">52 (32)</td>
<td valign="top" align="left">42 (26)</td>
</tr>
<tr>
<td valign="top" align="left">Not applicable</td>
<td valign="top" align="left">10 (6)</td>
<td valign="top" align="left">16 (9)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Unclassified</td>
<td valign="top" align="left">17 (9)</td>
<td valign="top" align="left">14 (8)</td>
<td valign="top" align="left">25 (27)</td>
<td valign="top" align="left">23 (25)</td>
<td valign="top" rowspan="2" align="left">3 (2)</td>
<td valign="top" rowspan="2" align="left">7 (4)</td>
</tr>
<tr>
<td valign="top" align="left">Missing data</td>
<td valign="top" align="left">28 (16)</td>
<td valign="top" align="left">41 (23)</td>
<td valign="top" align="left">1 (1)</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<th valign="top" align="left">Second-line age-adjusted IPI of 2 or 3 &#x2014; no. (%)</th>
<th valign="top" align="left">82 (46)</th>
<th valign="top" align="left">79 (44)</th>
<th valign="top" align="left">36 (39)</th>
<th valign="top" align="left">37 (40)</th>
<th valign="top" align="left">NR</th>
<th valign="top" align="left">NR</th>
</tr>
<tr>
<th valign="top" align="left">IPI score <underline>&gt;</underline> 2 &#x2014; no. (%)</th>
<th valign="top" align="left">NR</th>
<th valign="top" align="left">NR</th>
<th valign="top" align="left">NR</th>
<th valign="top" align="left">NR</th>
<th valign="top" align="left">106 (65)</th>
<th valign="top" align="left">92 (58)</th>
</tr>
<tr>
<th valign="top" colspan="7" align="left">Disease status at study entry<sup>a</sup> &#x2014; no. (%)</th>
</tr>
<tr>
<td valign="top" align="left">Refractory to any therapy</td>
<td valign="top" align="left">133 (74)</td>
<td valign="top" align="left">131 (73)</td>
<td valign="top" align="left">67 (73)</td>
<td valign="top" align="left">68 (74)</td>
<td valign="top" align="left">107 (66)</td>
<td valign="top" align="left">107 (67)</td>
</tr>
<tr>
<td valign="top" align="left">Relapsed</td>
<td valign="top" align="left">47 (26)</td>
<td valign="top" align="left">48 (27)</td>
<td valign="top" align="left">25 (27)</td>
<td valign="top" align="left">24 (26)</td>
<td valign="top" align="left">55 (34)</td>
<td valign="top" align="left">53 (33)</td>
</tr>
<tr>
<th valign="top" align="left">Inclusion criteria</th>
<th valign="top" colspan="2" align="left">Refractory or relapsed within 12 months of 1st line</th>
<th valign="top" colspan="2" align="left">Refractory or relapsed within 12 months of 1st line</th>
<th valign="top" colspan="2" align="left">Refractory or relapsed within 12 months of 1st line</th>
</tr>
<tr>
<th valign="top" colspan="7" align="left">CAR-T Therapy</th>
</tr>
<tr>
<td valign="top" align="left">CAR-T product</td>
<td valign="top" colspan="2" align="left">Axi-cel</td>
<td valign="top" colspan="2" align="left">Liso-cel</td>
<td valign="top" colspan="2" align="left">Tisa-cel</td>
</tr>
<tr>
<td valign="top" align="left">CAR-T target</td>
<td valign="top" colspan="2" align="left">CD19</td>
<td valign="top" colspan="2" align="left">CD19</td>
<td valign="top" colspan="2" align="left">CD19</td>
</tr>
<tr>
<td valign="top" align="left">Costimulation</td>
<td valign="top" colspan="2" align="left">CD28/CD3zeta</td>
<td valign="top" colspan="2" align="left">4-1BB/CD3zeta</td>
<td valign="top" colspan="2" align="left">4-1BB/CD3zeta</td>
</tr>
<tr>
<td valign="top" align="left">Vector</td>
<td valign="top" colspan="2" align="left">Gamma retrovirus</td>
<td valign="top" colspan="2" align="left">Lentivirus</td>
<td valign="top" colspan="2" align="left">Lentivirus</td>
</tr>
<tr>
<td valign="top" align="left">T cell selection</td>
<td valign="top" colspan="2" align="left">No</td>
<td valign="top" colspan="2" align="left">Yes</td>
<td valign="top" colspan="2" align="left">Yes</td>
</tr>
<tr>
<td valign="top" align="left">CD4:CD8 selection</td>
<td valign="top" colspan="2" align="left">No</td>
<td valign="top" colspan="2" align="left">CD4:CD8 infused in a 1:1 ratio</td>
<td valign="top" colspan="2" align="left">No</td>
</tr>
<tr>
<td valign="top" align="left">CAR T-cell dose</td>
<td valign="top" colspan="2" align="left">2&#xd7;10<sup>6</sup> cells/kg</td>
<td valign="top" colspan="2" align="left">1 &#xd7; 10<sup>8</sup> cells</td>
<td valign="top" colspan="2" align="left">0.6&#x2013;6 &#xd7;10<sup>8</sup> cells / Median, 2.9&#xd7; 10<sup>8</sup> cells</td>
</tr>
<tr>
<td valign="top" align="left">CAR-T infused &#x2014; no. (%)</td>
<td valign="top" colspan="2" align="left">170 (94)</td>
<td valign="top" colspan="2" align="left">90 (98)</td>
<td valign="top" colspan="2" align="left">155 (96)</td>
</tr>
<tr>
<td valign="top" align="left">Median time from randomization to CAR T-cell infusion &#x2014; days</td>
<td valign="top" colspan="2" align="left">29</td>
<td valign="top" colspan="2" align="left">34</td>
<td valign="top" colspan="2" align="left">NR</td>
</tr>
<tr>
<td valign="top" align="left">Median time from leukapheresis to CAR T-cell release &#x2014; days</td>
<td valign="top" colspan="2" align="left">13</td>
<td valign="top" colspan="2" align="left">36</td>
<td valign="top" colspan="2" align="left">52 23.5 (U.S.); 28 (non-U.S. countries)</td>
</tr>
<tr>
<th valign="top" rowspan="2" align="left">Lymphodepletion</th>
<th valign="top" rowspan="2" colspan="2" align="left">Flu 30 mg/m<sup>2</sup> &#xd7; 3 day; Cy 500 mg/m2 &#xd7; 3 days</th>
<th valign="top" rowspan="2" colspan="2" align="left">Flu 30 mg/m<sup>2</sup> &#xd7; 3 day; Cy 300 mg/m2 &#xd7; 3 days</th>
<th valign="top" rowspan="2" colspan="2" align="left">Flu 25 mg/m<sup>2</sup> &#xd7; 3 day; Cy 250 mg/m2 &#xd7;3 days</th>
</tr>
<tr>
<th valign="top" align="left">Bridging regimen</th>
<th valign="top" rowspan="1" colspan="2" align="left">Steroids only- (no chemotherapy)</th>
<th valign="top" rowspan="1" colspan="2" align="left">Protocol defined SOC regimen to stabiles their disease during Liso-cell manufacturing</th>
<th valign="top" rowspan="1" colspan="2" align="left">Chemotherapy optional 1 cycle = 36%; 2+ cycles = 47%</th>
</tr>
<tr>
<td valign="top" align="left">Received &#x2014; no. (%)</td>
<td valign="top" colspan="2" align="left">65 (36)</td>
<td valign="top" colspan="2" align="left">58 (63)</td>
<td valign="top" colspan="2" align="left">135 (83%)</td>
</tr>
<tr>
<td valign="top" align="left">Salvage regimen</td>
<td valign="top" colspan="2" align="left">2nd line CIT</td>
<td valign="top" colspan="2" align="left">2nd line CIT</td>
<td valign="top" colspan="2" align="left">2nd line CIT; 3rd line</td>
</tr>
<tr>
<td valign="top" align="left">ASCT &#x2014; no. (%)</td>
<td valign="top" colspan="2" align="left">64 (36)</td>
<td valign="top" colspan="2" align="left">42(46)</td>
<td valign="top" colspan="2" align="left">52 (32)</td>
</tr>
<tr>
<td valign="top" align="left">Crossover to CAR-T &#x2014; no. (%)</td>
<td valign="top" colspan="2" align="left">100 (56)</td>
<td valign="top" colspan="2" align="left">47 (55)</td>
<td valign="top" colspan="2" align="left">81 (51)</td>
</tr>
<tr>
<th valign="top" align="left">Primary end point</th>
<th valign="top" colspan="2" align="left">EFS</th>
<th valign="top" colspan="2" align="left">EFS per IRC</th>
<th valign="top" colspan="2" align="left">EFS after 12 W</th>
</tr>
<tr>
<td valign="top" align="left">ORR &#x2014; no. (%)</td>
<td valign="top" align="left">150 (83)</td>
<td valign="top" align="left">90 (50)</td>
<td valign="top" align="left">79 (86)</td>
<td valign="top" align="left">44 (48)</td>
<td valign="top" align="left">75 (46)</td>
<td valign="top" align="left">68 (43)</td>
</tr>
<tr>
<td valign="top" align="left">CR &#x2014; no. (%)</td>
<td valign="top" align="left">117 (65)</td>
<td valign="top" align="left">58 (32)</td>
<td valign="top" align="left">61 (66)</td>
<td valign="top" align="left">36 (39)</td>
<td valign="top" align="left">46 (28)</td>
<td valign="top" align="left">44 (28)</td>
</tr>
<tr>
<td valign="top" align="left">EFS median (months)</td>
<td valign="top" align="left">8.3</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">10.1</td>
<td valign="top" align="left">2.3</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">3</td>
</tr>
<tr>
<td valign="top" align="left">OS median (months)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">35.1</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">16.4</td>
<td valign="top" align="left">16.9</td>
<td valign="top" align="left">15.3</td>
</tr>
<tr>
<td valign="top" align="left">Median follow up</td>
<td valign="top" align="left">24.9</td>
<td valign="top" align="left">24.9</td>
<td valign="top" align="left">6.2</td>
<td valign="top" align="left">6.2</td>
<td valign="top" colspan="2" align="center">10</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk of an event in the comparator group (as abstracted from included trials) and the relative effect of the intervention (and its 95% CI). High certainty: we are very confident that the true effect lies close to that of the estimate of the effect. Moderate certainty: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different. Low certainty: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect. Very low certainty: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect. CI: confidence interval; HR: hazard ratio; RR: risk ratio.</p>
</fn>
<fn>
<p>
<sup>a</sup>Rated down one level due to serious inconsistency due to statistically significant heterogeneity in treatment effects as well as imprecision due to the small overall sample size.</p>
</fn>
<fn>
<p>
<sup>b</sup>Rated down 2 levels for very serious imprecision due to wide confidence intervals and treatment effects indicating both substantial potential benefit and harm, as well as the small sample size and number of events.</p>
</fn>
<fn>
<p>
<sup>c</sup>Rated down one level due to imprecision that relates to overall small sample size.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_1">
<title>Pairwise meta-analysis</title>
<p>A total of 260 EFS events (59.9%) were observed with CAR-T cell therapy as compared to 311 EFS events (72.5%) observed with SOC. The difference was statistically significant (HR: 0.51; 95% CI: 0.27-0.97; I<sup>2</sup>: 92%). In terms of PFS, a total of 125 events (45.9%) were observed with CAR-T cell therapy as compared to 174 events observed with SOC. The difference was statistically significant (HR: 0.47; 95% CI: 0.37-0.60; I<sup>2</sup>: 0%). Although only 137 deaths (31.5%) were observed with CAR-T cell therapy compared to 150 deaths (34.8%) with SOC, the difference was not statistically significant (HR: 0.76; 95% CI: 0.56-1.03; I<sup>2</sup>: 29%). These results are shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>eFigures&#xa0;2</bold>
</xref>-<xref ref-type="supplementary-material" rid="SM1">
<bold>4 in the Supplementary</bold>
</xref>. Similarly, while patients on CAR-T cell therapy were more likely to achieve an objective response (RR: 1.49; 95% CI: 1.13-1.97; I<sup>2</sup>: 81%; <xref ref-type="supplementary-material" rid="SM1">
<bold>eFigure&#xa0;5 in the Supplementary</bold>
</xref>) and CR (RR: 1.55; 95% CI: 1.07-2.24; I<sup>2</sup>: 79%; <xref ref-type="supplementary-material" rid="SM1">
<bold>eFigure&#xa0;6 in the Supplementary</bold>
</xref>), PR was not different between CAR-T cell therapy and SOC (RR: 1.26; 95% CI: 0.86-1.85, I<sup>2</sup>: 33%; <xref ref-type="supplementary-material" rid="SM1">
<bold>eFigure&#xa0;7 in the Supplementary</bold>
</xref>). Lower CR rates with CAR-T cell therapy were observed when the analysis was limited to a comparison between patients who responded to salvage chemotherapy and underwent ASCT (RR: 0.61; 95% CI: 0.44-0.85; I<sup>2</sup>: 88%; <xref ref-type="supplementary-material" rid="SM1">
<bold>eFigure&#xa0;8 in the Supplementary</bold>
</xref>).</p>
<p>The safety profile of CAR-T cell therapy relative to SOC showed no statistically significant difference for all grade and grade &#x2265;3 any AE (RR: 1.01; 95% CI: 0.98-1.05; I<sup>2</sup>: 82%, RR: 1.05; 95% CI: 0.93-1.18; I<sup>2</sup>: 82%, respectively) as shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>eFigures&#xa0;9</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>10 in the Supplementary</bold>
</xref>. The incidence rate of all-grade CRS was 69.8% (95% CI: 39.5-92.9; I<sup>2</sup>: 97%) and for grade &#x2265;3 CRS was 4.19% (95% CI: 1.60-7.80; I<sup>2</sup>: 57%) as shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>eFigures&#xa0;11</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>12 in the Supplementary</bold>
</xref>. Consistent results were observed for all grade NT with an incidence rate of 25.0% (95% CI: 1.87-61.7; I<sup>2</sup>: 98%) and for grade &#x2265;3 NT, 7.57% (95% CI: 0.20-22.6; I<sup>2</sup>: 95%) (<xref ref-type="supplementary-material" rid="SM1">
<bold>eFigures&#xa0;13</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>14 in the Supplementary</bold>
</xref>).</p>
<p>EFS benefit was consistent across prespecified subgroups and no statistically significant effect modification was observed as shown <xref ref-type="supplementary-material" rid="SM1">
<bold>in eFigures&#xa0;15</bold>
</xref>-<xref ref-type="supplementary-material" rid="SM1">
<bold>18 in the Supplementary</bold>
</xref>.</p>
</sec>
<sec id="s3_2">
<title>Mixed treatment comparisons</title>
<p>A detailed geometrical representation of network is shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>eFigure&#xa0;19 in the Supplementary</bold>
</xref>. Results from the fixed effect model are reported here considering the open network geometry which had sparse direct evidence. Mixed treatment comparisons were also made using random-effects model (not reported here) which indicated consistent direction of the results but wider confidence intervals.</p>
<p>Mixed treatment comparisons showed significant EFS benefit with axi-cel (HR: 0.42; 95% CI: 0.29-0.61) and liso-cel (HR: 0.37; 95% CI: 0.22-0.61) compared to tisa-cel. No significant difference was observed between axi-cel and liso-cel (HR: 1.14; 95% CI: 0.70-1.86) with regards to EFS outcome as shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>. In terms of OS, no significant differences were observed among different CAR-T cell products. (axi-cel vs. tisa-cel - HR: 0.74; 95% CI: 0.43-1.26, liso-cel vs. tisa cel &#x2013; HR: 0.51; 95% CI: 0.23-1.15, axi-cel vs. liso-cel &#x2013; HR: 1.43; 95% CI: 0.68-3.04; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Objective response rates were 83.3%, 85.8%, and 46.2% in patients who received axi-cel, liso-cel, and tisa-cel, respectively. Objective response was significantly more likely with axi-cel (83.3%; RR: 1.52; 95% CI: 1.14-2.04), and liso-cel (85.8%; RR: 1.65; 95% CI: 1.18-2.30) when compared to tisa-cel. Similar results were observed for CR with 65% of the patients achieving CR with axi-cel, 66.3% with liso-cel and only 28.3% with tisa-cel. Complete response was significantly more likely to occur with axi-cel (RR: 1.94; 95% CI: 1.27-2.97), and liso-cel (RR: 1.64; 95% CI: 1.04-2.59) when compared to tisa-cel as shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>eFigures&#xa0;20</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>21 in the Supplementary</bold>
</xref>. In terms of grade &#x2265;3 any AE, the safety profiles of different CAR-T products were different and tisa-cel was observed to be the safest among other options (axi-cel vs. tisa-cel - RR: 2.55; 95% CI: 2.06-3.14, liso-cel vs. tisa cel &#x2013; RR: 1.72; 95% CI: 1.45-2.05; <xref ref-type="supplementary-material" rid="SM1">
<bold>eFigure&#xa0;22 in the Supplementary</bold>
</xref>). The results of CAR-T cell specific toxicity are shown in <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>Mixed treatment comparisons for <bold>(A)</bold> event-free survival, and <bold>(B)</bold> overall survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1407001-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Cytokine release syndrome and neurological toxicities <bold>(A)</bold> pooled incidence, and <bold>(B)</bold> incidence across different CAR-T cell products.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1407001-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The results of this systematic review and meta-analysis showed that treatment of DLBCL with CAR-T cell therapy in second line setting achieves significantly higher response rates, longer duration of remission, and delayed disease progression with no statistically significant increase in overall toxicity as compared to SOC. Although, there appears to be a signal of overall survival benefit with CAR-T cell therapy, the difference was not statistically significant at current follow up (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Treatment related mortality was comparable with 4% (18/434) in the CAR-T cell therapy arm versus 3.9% (17/431) in the SOC arm. The incidence rates for all-grade and grade &#x2265;3 CRS were approximately 70%, and 4%, respectively in patients who received CAR-T cell therapy. All-grade and grade &#x2265;3 NT were observed in 25% and 7.5% of the patients who received CAR-T cell therapy. Among different CAR-T cell products, delayed disease progression, and increased objective response were observed with axi-cel and liso-cel as compared to tisa-cel. In terms of OS improvement, no difference was observed among different CAR-T cell products at current follow-up. However, the relative safety of different CAR-T cell products was different, with tisa-cel being the safest among others.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Evidence profile.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Outcomes</th>
<th valign="top" align="center">Number of participants</th>
<th valign="top" align="center">Relative effect</th>
<th valign="top" colspan="2" align="center">Anticipated absolute effects (95% CI)</th>
<th valign="top" align="center">Certainty of the evidence</th>
</tr>
<tr>
<th valign="top" align="center">(studies)</th>
<th valign="top" align="center">(95% CI)</th>
<th valign="top" align="center">Risk with SOC</th>
<th valign="top" align="center">Risk difference with CAR-T</th>
<th valign="top" align="center">(GRADE)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2">
<bold>Event-free survival</bold>
</td>
<td valign="top" align="center" style="background-color:#f2f2f2">865</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>HR 0.51</bold>
</td>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2">720 per 1,000</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>242 fewer per 1,000</bold>
</td>
<td valign="top" rowspan="2" align="center" style="background-color:#a9d08e">Moderate<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#f2f2f2">(3 RCTs)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(0.27 to 0.97)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(from 429 fewer to 11 fewer)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2"><bold>Overall survival</bold>
</td>
<td valign="top" align="center" style="background-color:#f2f2f2">865</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>HR 0.76</bold>
</td>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2">348 per 1,000</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>70 fewer per 1,000</bold>
</td>
<td valign="top" rowspan="2" align="center" style="background-color:#e2efda">Low<sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#f2f2f2">(3 RCTs)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(0.56 to 1.03)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(from 135 fewer to 8 more)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2"><bold>Progression-free survival</bold>
</td>
<td valign="top" align="center" style="background-color:#f2f2f2">543</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>HR 0.47</bold>
</td>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2">642 per 1,000</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>259 fewer per 1,000</bold>
</td>
<td valign="top" rowspan="2" align="center" style="background-color:#a9d08e">Moderate<sup>c</sup>
</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#f2f2f2">(2 RCTs)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(0.37 to 0.60)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(from 326 fewer to 182 fewer)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2"><bold>Objective response rate</bold>
</td>
<td valign="top" align="center" style="background-color:#f2f2f2">865</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>RR 1.49</bold>
</td>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2">701 per 1,000</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>343 more per 1,000</bold>
</td>
<td valign="top" rowspan="2" align="center" style="background-color:#a9d08e">Moderate<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#f2f2f2">(3 RCTs)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(1.13 to 1.97)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(from 91 more to 680 more)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2"><bold>Complete response</bold>
</td>
<td valign="top" align="center" style="background-color:#f2f2f2">865</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>RR 1.55</bold>
</td>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2">320 per 1,000</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>176 more per 1,000</bold>
</td>
<td valign="top" rowspan="2" align="center" style="background-color:#a9d08e">Moderate<sup>a</sup>
</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#f2f2f2">(3 RCTs)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(1.07 to 2.24)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(from 22 more to 397 more)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2"><bold>Partial response</bold>
</td>
<td valign="top" align="center" style="background-color:#f2f2f2">865</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>RR 1.26</bold>
</td>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2">148 per 1,000</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>39 more per 1,000</bold>
</td>
<td valign="top" rowspan="2" align="center" style="background-color:#e2efda">Low<sup>b</sup>
</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#f2f2f2">(3 RCTs)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(0.86 to 1.85)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(from 21 fewer to 126 more)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2">
<bold>All grade any adverse event</bold>
</td>
<td valign="top" align="center" style="background-color:#f2f2f2">843</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>RR 1.01</bold>
</td>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2">981 per 1,000</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>10 more per 1,000</bold>
</td>
<td valign="top" rowspan="2" align="center" style="background-color:#ff7c80">Moderate<sup>c</sup>
</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#f2f2f2">(3 RCTs)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(0.98 to 1.05)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(from 20 fewer to 49 more)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2">
<bold>Grade 3 or higher any adverse event</bold>
</td>
<td valign="top" align="center" style="background-color:#f2f2f2">843</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>RR 1.05</bold>
</td>
<td valign="top" rowspan="2" align="left" style="background-color:#f2f2f2">866 per 1,000</td>
<td valign="top" align="center" style="background-color:#f2f2f2">
<bold>43 more per 1,000</bold>
</td>
<td valign="top" rowspan="2" align="center" style="background-color:#ff7c80">Moderate<sup>c</sup>
</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#f2f2f2">(3 RCTs)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(0.93 to 1.18)</td>
<td valign="top" align="center" style="background-color:#f2f2f2">(from 61 fewer to 156 more)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#548235">
<bold>High certainty benefit</bold>
</td>
<td valign="top" align="center" style="background-color:#a9d08e">
<bold>Moderate certainty benefit</bold>
</td>
<td valign="top" align="center" style="background-color:#e2efda">
<bold>Low certainty benefit</bold>
</td>
<td valign="top" align="center" style="background-color:#ffcccc">
<bold>Low certainty harm</bold>
</td>
<td valign="top" align="center" style="background-color:#ff7c80">
<bold>Moderate certainty harm</bold>
</td>
<td valign="top" align="center" style="background-color:#c00000">
<bold>High certainty harm</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk of an event in the comparator group (as abstracted from included trials) and the relative effect of the intervention (and its 95% CI). High certainty: we are very confident that the true effect lies close to that of the estimate of the effect. Moderate certainty: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different. Low certainty: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect. Very low certainty: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect. CI: confidence interval; HR: hazard ratio; RR: risk ratio.</p>
</fn>
<fn>
<p>
<sup>a</sup>Rated down one level due to serious inconsistency due to statistically significant heterogeneity in treatment effects as well as imprecision due to the small overall sample size.</p>
</fn>
<fn>
<p>
<sup>b</sup>Rated down 2 levels for very serious imprecision due to wide confidence intervals and treatment effects indicating both substantial potential benefit and harm, as well as the small sample size and number of events.</p>
</fn>
<fn>
<p>
<sup>c</sup>Rated down one level due to imprecision that relates to overall small sample size.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The results of this study suggests statistically significant improvement in EFS with liso-cel (<xref ref-type="bibr" rid="B6">6</xref>) and axi-cel (<xref ref-type="bibr" rid="B7">7</xref>) as compared to tisa-cel (<xref ref-type="bibr" rid="B8">8</xref>). However, it is important to view these results in the context of the current evidence and the differences across the included trials. First, there was variability in EFS definitions; more specifically, the BELINDA trial defined EFS as the time from randomization to either progressive or stable disease at or after 12 weeks in addition to death at any time. This suggests that the events occurring prior to week 12 would be counted as events in the ZUMA-7 (<xref ref-type="bibr" rid="B7">7</xref>) and TRANSFORM (<xref ref-type="bibr" rid="B6">6</xref>) trials but not in the BELINDA trial (<xref ref-type="bibr" rid="B8">8</xref>) which could explain this underlying heterogeneity and discrepant EFS observed across these trials (<xref ref-type="supplementary-material" rid="SM1">
<bold>eTable&#xa0;1 in the Supplementary</bold>
</xref>). Considering these differences in EFS across trials, PFS might have been a more optimal endpoint, however, PFS was not reported in the BELINDA trial (<xref ref-type="bibr" rid="B8">8</xref>). Second, longer median time from leukapheresis to CAR-T cell infusion (52 days in BELINDA (<xref ref-type="bibr" rid="B8">8</xref>)) compared to a median time from randomization to infusion of 29- and 34-days in the ZUMA-7 (<xref ref-type="bibr" rid="B7">7</xref>), and TRANSFORM (<xref ref-type="bibr" rid="B6">6</xref>) trials, respectively might explain the disparate outcomes observed in these trials. Third, mixed treatment comparisons showed that the response rates were significantly lower with tisa-cel as compared to axi-cel and liso-cel. This pattern is consistent with the findings from studies assessing CAR-T cell therapy in the third line setting (58% CR with axi-cel from the ZUMA-1 trial (<xref ref-type="bibr" rid="B3">3</xref>), 53% CR with liso-cel from the TRANSCEND trial (<xref ref-type="bibr" rid="B5">5</xref>); and 40% CR with tisa-cel from the JULIET trial (<xref ref-type="bibr" rid="B4">4</xref>)). Interestingly, the complete response to tisa-cel in the second line setting was observed in only 28.3% of the patients in the BELINDA trial which is even lower than the 40% observed in the JUILET trial (<xref ref-type="bibr" rid="B4">4</xref>) in the third line setting. This lower complete response rate with tisa-cel in the second line setting may potentially explain the negative EFS outcome. Fourth, it is also important to highlight that trials were different in their use of bridging therapies prior to CAR-T cell therapy. ZUMA-7 (<xref ref-type="bibr" rid="B7">7</xref>) only allowed the use of glucocorticoids and did not allow the use of bridging chemotherapy prior to CAR-T cell therapy which by design excludes patients with highly aggressive and advanced disease; conversely, approximately 60% of the patients in TRANSFORM trial (<xref ref-type="bibr" rid="B6">6</xref>) and 83% in BELINDA trial (<xref ref-type="bibr" rid="B8">8</xref>) received bridging chemotherapy. However, patients in the trial TRANSFORM trial were only allowed one cycle of bridging chemotherapy while 47% patients in the BELINDA trial received (<xref ref-type="bibr" rid="B3">3</xref>) 2 cycles. Patients who receive bridging chemotherapy are known to harbor worse prognosis than those who do not, and these patients are more reflective of the real-world clinical setting (<xref ref-type="bibr" rid="B13">13</xref>). Fifth, while BELINDA (<xref ref-type="bibr" rid="B8">8</xref>) and TRANSFORM (<xref ref-type="bibr" rid="B6">6</xref>) trials allowed the receipt of two lines of salvage CIT in the control arm, ZUMA-7 trial (<xref ref-type="bibr" rid="B7">7</xref>) only allowed one line of salvage CIT. Sixth, only 66.4% of the patients in the BELINDA trial (<xref ref-type="bibr" rid="B8">8</xref>) had primary refractory disease as compared to 73.5% and 73.3% in ZUMA-7 (<xref ref-type="bibr" rid="B7">7</xref>) and TRANSFORM (<xref ref-type="bibr" rid="B6">6</xref>) trials, respectively. Our subgroup analysis based on limited data showed no potential effect modification by prior response status, i.e., between patients who had primary refractory disease and those who relapsed. (<xref ref-type="supplementary-material" rid="SM1">
<bold>eFigure&#xa0;19 in the Supplementary</bold>
</xref>). Finally, the variable proportions of activated B-cell like (ABC) phenotype and germinal center B-cell (GCB) like lymphoma may have impacted the outcomes in these trials. Patients with ABC phenotype are known to harbor worse prognosis than those with GCB like lymphoma (<xref ref-type="bibr" rid="B14">14</xref>). Proportion of patients with ABC phenotype was greater in the tisa-cel arm compared to the SOC arm in the BELINDA trial (<xref ref-type="bibr" rid="B8">8</xref>). In contrast, approximately 23% and 32% had ABC phenotype in liso-cel and SOC arms, respectively in the TRANSFORM trial (<xref ref-type="bibr" rid="B6">6</xref>) and less than 10% of the patients exhibited the ABC phenotype in the ZUMA-7 trial (<xref ref-type="bibr" rid="B7">7</xref>). However, we did not find statistically significant effect modification by the cell of origin. A subgroup analysis of EFS by age group demonstrated similar efficacy among patients aged over 65 years (<xref ref-type="supplementary-material" rid="SM1">
<bold>eFigure&#xa0;16 in the Supplementary</bold>
</xref>). These findings are supported by several encouraging reports on third-line CAR-T therapy among elderly patients with lymphoma, including pivotal studies and real-world data, which describe comparable outcomes for CAR-T therapy in older patients (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Current evidence suggests a signal of potential OS benefit with CAR-T cell therapy compared to SOC. However, the difference was not statistically significant. Notably, a significant proportion of patients (52%) randomized to SOC arm were able to cross over to CAR-T cell therapy in the TRANSFORM (<xref ref-type="bibr" rid="B6">6</xref>) and BELINDA (<xref ref-type="bibr" rid="B8">8</xref>) trials or received commercial CAR-T cell therapy off study in the ZUMA-7 (<xref ref-type="bibr" rid="B7">7</xref>) trial. Similarly, no statistically significant difference was observed among axi-cel, liso-cel and tisa-cel though the direction of effect indicated potential superiority of axi-cel and liso-cel compared to tisa-cel. The lack of statistical significance in these comparisons could plausibly be explained by the fact that the OS analyses in the ZUMA-7 (<xref ref-type="bibr" rid="B7">7</xref>) and TRANSFORM (<xref ref-type="bibr" rid="B6">6</xref>) trials were interim as per protocol and hence, updated analyses based on mature OS data would provide more meaningful estimates. Toxicity profile of CAR-T cell therapy was consistent with the studies from third line setting. CAR-T cell therapy was not associated with an increased risk of all grade and grade &#x2265;3 any AEs when compared to SOC, however, the type of adverse events were different in both arms (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). The pooled incidences of grade &#x2265; 3 CRS and NT were 4.19% and 7.57% with CAR-T cell therapy which are consistent with the results of other studies. A detailed breakdown of adverse events observed with axi-cel, liso-cel, and tisa-cel is provided as <xref ref-type="supplementary-material" rid="SM1">
<bold>eTable&#xa0;2 in the Supplementary</bold>
</xref>. Quality of life (QoL) is also an important endpoint to consider when opting CAR-T cell therapy. QoL report from the ZUMA-7 trial showed statistically significant improvement in QoL with axi-cel when compared to SOC at day 100. The results were consistent at day 150 (<xref ref-type="bibr" rid="B19">19</xref>). QoL data for CAR-T cell therapy in second line setting is still emerging and results from the TRANSFORM and BELINDA trials will inform further.</p>
<p>Moreover, a closer examination of the included trials revealed that majority of the patients were not able to proceed to ASCT in the SOC arm either because of suboptimal response to salvage chemotherapy or from progression of disease and only around 38.5% (166/431) of the patients underwent ASCT, whereas approximately 95.6% (415/434) of the patients, assigned to CAR-T cell therapy, were able to receive the CAR-T cell infusion (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Acknowledging the limitations of our posthoc exploratory analysis, it is still an important finding that when directly compared, ASCT may be associated with an increased incidence of CR compared to CAR-T cell therapy. Consistent superiority of ASCT in patients who achieve at least a PR after salvage chemotherapy has been observed in a comparative analysis of Center for International Blood and Marrow Transplant Research (CIBMTR) registry by Shadman et&#xa0;al (<xref ref-type="bibr" rid="B21">21</xref>) which showed that ASCT was associated with a lower risk of relapse and an improved survival when compared to CAR-T cell therapy in R/R DLBCL patients. However, it should be noted that the analysis by Shadman et&#xa0;al (<xref ref-type="bibr" rid="B21">21</xref>) was retrospective in nature, and despite adequate adjustment for variable disease burden, different number of prior lines of therapy there could be potential confounding relationships. Also, it included patients who had exhibited chemosensitivity after salvage therapy compared to trials included in our analysis which included patients at the highest risk of chemo-refractory disease. Nevertheless, taken together these findings suggest that ASCT may still be preferrable for a subset of patients who exhibit sensitivity to salvage chemotherapy.</p>
<p>There are several noteworthy strengths of this study. First, we used a systematic approach to investigate the efficacy and safety of CAR-T cell therapy compared to SOC using totality of available evidence. Second, we performed a detailed and thorough review of relevant trials and provided a summary of baseline trial and population characteristics along with the limitations in each trial. Third, we conducted comprehensive pairwise analysis and used the GRADE approach to assess certainty of evidence for each patient important outcome and translated relative effects to absolute effect estimates. Lastly, we also conducted a network meta-analysis to assess comparative effectiveness of different CAR-T cell products using mixed treatment comparisons. However, this study is limited by a small number of included trials. Mixed treatment comparisons were based on an open network with sparse direct evidence which precluded the formal assessment of publication bias and incoherence. Median follow up durations varied across trials, and OS analyses in the ZUMA-7 (<xref ref-type="bibr" rid="B7">7</xref>) and TRANSFORM (<xref ref-type="bibr" rid="B6">6</xref>) trials were interim. Hence, mature OS data at longer follow up might offer different insights. We believe this study is timely as it examines data in totality, provides precise estimates for treatment effects of CAR-T cell therapy compared to SOC across different outcomes and presents a comprehensive assessment of comparative effectiveness of different CAR-T cell products.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>In summary, patients with R/R DLBCL harbor considerable disease heterogeneity and we need to tailor the choice of therapy carefully based on individual patient and associated disease factors. CAR-T cell therapy can be a potential second line treatment option for patients with primary refractory DLBCL or patients relapsing within 12 months of their first line chemoimmunotherapy. While patients relapsing more than 12 months after their first line treatment or those with chemosensitive disease may still benefit from ASCT.</p>
</sec>
<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 authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>KA: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MZ: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. EH: Writing &#x2013; review &amp; editing. AA: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. SA: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. NA: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. AS: Writing &#x2013; review &amp; editing. JD: Writing &#x2013; review &amp; editing. JT: Writing &#x2013; review &amp; editing. BD: Writing &#x2013; review &amp; editing. AT: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MH: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<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 id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="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="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2024.1407001/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2024.1407001/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
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