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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.2021.756214</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Efficacy and Safety of Systemic Treatments Among Colorectal Cancer Patients: A Network Meta-Analysis of Randomized Controlled Trials</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hoang</surname>
<given-names>Tung</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1309708"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sohn</surname>
<given-names>Dae Kyung</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Byung Chang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cha</surname>
<given-names>Yongjun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1447811"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kim</surname>
<given-names>Jeongseon</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1063287"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy</institution>, <addr-line>Goyang</addr-line>, <country>South Korea</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Center for Colorectal Cancer, Research Institute and Hospital, National Cancer Center</institution>, <addr-line>Goyang</addr-line>, <country>South Korea</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Aditi Banerjee, University of Maryland, Baltimore, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Timothy Price, The Queen Elizabeth Hospital (TQEH), Australia; Barbara Geerinckx, TQEH, Adelaide, Australia, in collaboration with reviewer TP; Chitta Ranjan Sahu, University of Kalyani, India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jeongseon Kim, <email xlink:href="mailto:jskim@ncc.re.kr">jskim@ncc.re.kr</email> </p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Gastrointestinal Cancers: Colorectal Cancer, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>02</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>756214</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Hoang, Sohn, Kim, Cha and Kim</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Hoang, Sohn, Kim, Cha and Kim</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>Systemic treatments, namely, either monotherapy or combination therapy, are commonly administered to patients with advanced or metastatic colorectal cancer (CRC). This study aimed to provide the complete efficacy and safety profiles and ranking of systemic therapies for the treatment of unresectable advanced or metastatic CRC.</p>
</sec>
<sec>
<title>Methods</title>
<p>We searched PubMed, Embase, the Cochrane Library, and ClinicalTrials.gov from inception until June 30, 2021, and also the bibliographies of relevant studies. Randomized controlled trials comparing two or more treatments, namely, at least capecitabine, 5-fluorouracil, leucovorin, irinotecan, bevacizumab, cetuximab, oxaliplatin, or panitumumab were investigated. A network meta-analysis using the Bayesian approach was performed to compare the efficacy and safety of treatments. The surface under the cumulative ranking curve (SUCRA) was calculated for the probability of each treatment as the most effective. The overall response rate (ORR), disease control rate (DCR), overall survival (OS), progression-free survival (PFS), adverse events (AEs) grade &#x2265;3, and serious adverse events (SAEs) were evaluated.</p>
</sec>
<sec>
<title>Results</title>
<p>One hundred two publications with 36,147 participants were assigned to 39 different treatments. Among 11 treatments with full information on six outcomes, FOLFIRI/FOLFOX/FOLFOXIRI + bevacizumab significantly improved both the ORR and DCR, compared to FOLFIRI. Although FOLFOX and FOLFIRI/FOLFOX + cetuximab significantly prolonged both OS and PFS, treatments were comparable in terms of AEs grade &#x2265;3 and SAEs. The top highest SUCRA values were observed in the FOLFOXIRI + panitumumab group for ORR (96%) and DCR (99%), FOLFIRI + bevacizumab + panitumumab group for OS (62%) and PFS (54%), and FOLFOXIRI + bevacizumab group for AEs grade &#x2265;3 (59%) and SAEs (59%) outcomes.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>These findings suggest an available range of systemic treatment therapies with different efficacy and safety profiles with patients. Further investigations of the side effects and mutation status are required to confirm our findings.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p><uri xlink:href="https://www.crd.york.ac.uk/prospero/">https://www.crd.york.ac.uk/prospero/</uri>, identifier CRD42019127772</p>
</sec>
</abstract>
<kwd-group>
<kwd>network meta-analysis</kwd>
<kwd>colorectal cancer</kwd>
<kwd>metastasis</kwd>
<kwd>chemotherapy</kwd>
<kwd>targeted therapy</kwd>
</kwd-group>
<contract-num rid="cn001">1710882, 2210990</contract-num>
<contract-sponsor id="cn001">National Cancer Center<named-content content-type="fundref-id">10.13039/501100003645</named-content>
</contract-sponsor>
<counts>
<fig-count count="9"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="129"/>
<page-count count="19"/>
<word-count count="4965"/>
</counts>
</article-meta>
</front>
<body>
<fig position="float">
<label>Graphical Abstract</label>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-756214-g009.tif"/>
</fig>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>According to the most recent update in 2018, colorectal cancer (CRC) is still the third most common type of cancer and the second leading cause of cancer-related deaths worldwide (<xref ref-type="bibr" rid="B1">1</xref>). Currently, tumor resection is recommended for individuals with stage I, II, and III CRC (<xref ref-type="bibr" rid="B2">2</xref>). Additionally, adjuvant therapy is normally administered after completing surgery in an attempt to eliminate residual micrometastatic disease, which leads to decreased tumor recurrence and improved prolonged survival rate (<xref ref-type="bibr" rid="B3">3</xref>). When surgery is rarely indicated for unresectable metastatic CRC, several chemotherapy regimens are accepted for treatment (<xref ref-type="bibr" rid="B4">4</xref>). Among patients who are appropriate for intensive therapy with RAS mutations, 5-fluorouracil (5-FU) + leucovorin, 5-FU/leucovorin/oxaliplatin (FOLFOX), 5-FU/leucovorin/oxaliplatin/irinotecan (FOLFOXIRI), and capecitabine/oxaliplatin (XELOX) can be used alone or in combination with bevacizumab (Bmab) (<xref ref-type="bibr" rid="B4">4</xref>). For patients with a wild-type RAS genotype, cetuximab or panitumumab is combined with FOLFOX or 5-FU/leucovorin/irinotecan (FOLFIRI) (<xref ref-type="bibr" rid="B4">4</xref>). Infusions of 5-FU + leucovorin &#xb1; bevacizumab, and cetuximab (Cmab) or panitumumab (Pmab) are indicated for individuals for whom intensive therapy is not recommended and present with mutated and RAS wild-type genotypes, respectively (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>A network meta-analysis (NMA) has been used to simultaneously compare multiple treatments by combining direct evidence from head-to-head or controlled trials and indirect results within a net-like relation to provide network evidence (<xref ref-type="bibr" rid="B5">5</xref>). Recently, an NMA focused on the efficacy of 17 regimens that do not differentiate the specific chemotherapies, especially capecitabine, 5-FU, leucovorin, irinotecan, and oxaliplatin, in each treatment comparison (<xref ref-type="bibr" rid="B6">6</xref>). Another study evaluated the efficacy of 10 regimens for first-line chemotherapy in patients with advanced CRC; however, their safety profiles have not been investigated (<xref ref-type="bibr" rid="B7">7</xref>). Therefore, by performing an NMA of randomized controlled trials (RCTs), we aimed to investigate the comparative efficacy and safety of several treatment regimens in patients with advanced or metastatic CRC. The results of the study are expected to provide reliable guidance for the selection of drugs in the treatment of CRC.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Search Strategy</title>
<p>This systematic search was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (<xref ref-type="bibr" rid="B8">8</xref>). We searched the PubMed, Embase, the Cochrane Library, and ClinicalTrials.gov databases from inception until June 30, 2021. The search was limited to human subjects and clinical trials. We also reviewed the bibliographies of relevant articles to identify additional studies related to the topic.</p>
</sec>
<sec id="s2_2">
<title>Study Selection</title>
<p>The keywords used for the literature search were as follows: treatment (&#x2018;capecitabine&#x2019;, &#x2018;5-fluorouracil&#x2019;, &#x2018;leucovorin&#x2019;, &#x2018;irinotecan&#x2019;, &#x2018;bevacizumab&#x2019;, &#x2018;cetuximab&#x2019;, &#x2018;oxaliplatin&#x2019;, and &#x2018;panitumumab&#x2019;) and CRC (&#x2018;colon cancer&#x2019;, &#x2018;rectal cancer&#x2019;, and &#x2018;colorectal cancer&#x2019;). We included RCTs that (1) recruited patients with advanced or metastatic CRC; (2) investigated the efficacy and/or safety of combination therapies containing at least one regimen from the search; and (3) measured outcomes such as the hazard ratio (HR) for overall survival (OS) and progression-free survival (PFS), the overall response rate (ORR), the disease control rate (DCR), adverse events (AEs) grade &#x2265;3, and serious adverse events (SAEs). Duplicate publications from the same study population were excluded.</p>
<p>Two authors independently reviewed the studies, discussed any controversies related to study selection, and extracted the information from the selected studies.</p>
</sec>
<sec id="s2_3">
<title>Quality Assessment</title>
<p>The risk of bias for eligible studies was independently evaluated by two investigators in accordance with the Cochrane Handbook for Systematic Reviews of Intervention (<xref ref-type="bibr" rid="B9">9</xref>). Any discrepancies were discussed and resolved by consulting with other coauthors.</p>
</sec>
<sec id="s2_4">
<title>Statistical Analysis</title>
<p>The pooled HRs for OS and PFS, the odds ratios (ORs) for the ORR, the DCR, AEs grade &#x2265;3, and SAEs and their 95% credible intervals (CrIs) were calculated to evaluate the differences among regimens.</p>
<p>The node-splitting statistic was applied to assess the inconsistency assumption between direct pairwise meta-analyses and indirect estimates (<xref ref-type="bibr" rid="B10">10</xref>). The <italic>I<sup>2</sup>
</italic> value was calcualated to test the heterogeneity among studies (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>We applied the generalized linear model for Bayesian NMA, and the results of the random effects model were compared with those of the fixed effects model to compute the pooled estimates of outcomes (<xref ref-type="bibr" rid="B11">11</xref>). The treatment line was additionally considered as a covariate in the meta-regression model of the sensitivity analysis (<xref ref-type="bibr" rid="B12">12</xref>). Additionally, the convergence diagnosis of the Markov chain Monte Carlo (MCMC) with 50,000 burn-in iterations and 3 chains was used to obtain robust results. Detailed descriptions of the method are provided in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Appendix</bold>
</xref>. MCMC simulation analyses were performed using WinBUGS 1.4.3 software (MRC Biostatistics Unit, UK) with the Bayesian framework.</p>
<p>We determined the probabilities of being primary and secondary therapies for each treatment and the surface under the cumulative ranking curve (SUCRA), which ranges between 0 and 100%, for each outcome to calculate the probability of each treatment being the most effective (<xref ref-type="bibr" rid="B13">13</xref>). A higher SUCRA value indicates a greater likelihood that the treatment is closer to the top rank; in contrast, a lower SUCRA value indicates a greater likelihood that the treatment is closer to the bottom rank (<xref ref-type="bibr" rid="B14">14</xref>). The Spearman method was applied to calculate the pairwise correlation of outcomes, using the &#x2018;psych&#x2019; R package (<xref ref-type="bibr" rid="B15">15</xref>). Enhanced k-means cluster analyses were used to group similar treatments with the &#x2018;factoextra&#x2019; R package (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Detailed descriptions of the methodology are presented in the <italic>eMethods</italic>. The study methodology and progress were registered and approved by the National Institute for Health Research&#x2014;International Prospective Register of Systematic Reviews (PROSPERO registration number: CRD42019127772).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Selection of Eligible Studies</title>
<p>
<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> illustrates the PRISMA flowchart for the literature search and screening results. By searching four electronic databases and reviewing the bibliographies of five relevant cost-effectiveness analyses and NMAs, we identified 9,699 candidate reports. After screening the abstracts and titles, 469 articles remained and the full texts were assessed. Ultimately, 102 citations (92 main RCTs and 10 subgroup publications for additional outcome results) were included in the NMA (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B118">118</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>PRISMA flowchart for study selection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-756214-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Characteristics of the Included Studies</title>
<p>Of all 94 main phase II/III RCTs, three were three-arm studies. The number of males was higher than the number of females in each research population, and the median age ranged between 60 and 70 years (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>). Thirty-nine different regimens containing at least capecitabine, 5-FU, leucovorin, irinotecan, oxaliplatin, Bmab, Cmab, and Pmab were identified, and 39 treatments with 36,147 patients were included in the final analysis after excluding treatments not connected to the network (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>Cochrane Risk of Bias Assessment</title>
<p>In the Cochrane risk of bias assessment, most of the RCTs originated from multicenter trials in which randomization was stratified by different baseline factors, thus minimizing selection bias. In contrast, an open-label design led to a high or unclear risk of performance bias in all the RCTs (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>3</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Risk of bias summary for each included study.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-756214-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Risk of bias graph across all the included studies.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-756214-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Network Geometry of Available Evidence</title>
<p>
<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;S1</bold>
</xref> shows the network geometry of all the available comparisons of treatments to explore their relationships and contributions. Among them, treatments for which data on specific outcomes were not available or did not contribute to the main network were excluded (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>). As a result, pairwise comparisons of 39, 35, 22, 23, 19, and 16 systemic therapies regarding the ORR, the DCR, OS, PFS, AEs grade &#x2265;3, and SAEs, respectively, were eligible for the final analysis (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Network geometry of treatments included in the final analysis. ORR, overall response rate; DCR, disease control rate; OS, overall survival; PFS, progression-free survival; AEs, adverse events; SAEs, serious adverse events; X, capecitabine; B, bevacizumab; C, cetuximab; F, 5-fluorouracil; I, irinotecan; L, leucovorin; O, oxaliplatin; P, panitumumab. The network plots are based on treatments in a connected network according to different types of outcomes. The size of the node indicates the number of participants receiving each treatment, and the thickness of the line illustrates the number of studies included each comparison.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-756214-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Forest Plots of the Pooled Estimates of 11 Regimens</title>
<p>The comparative treatment effects of 11 regimens for which the results were available on six outcomes relative to the FOLFIRI combination are shown in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>. Regarding the ORR, FOLFIRI + Bmab/Cmab/Pmab, FOLFOX, FOLFOX + Bmab/Cmab/Pmab, and FOLFOXIXI + Bmab resulted in a significant improvement, with ORs (95% CrIs) of 1.49 (1.11&#x2013;1.96), 1.80 (1.24&#x2013;2.56), 2.94 (1.91&#x2013;4.36), 1.31 (1.04&#x2013;1.65), 1.54 (1.08&#x2013;2.14), 2.68 (1.81&#x2013;3.86), 1.86 (1.19&#x2013;2.83), and 2.66 (1.67&#x2013;4.05), respectively. Regarding the DCR, the ORs (95% CrIs) of FOLFIRI/FOLFOX/FOLFOXIRI + Bmab compared to FOLFIRI were 3.28 (1.87&#x2013;5.56), 2.97 (1.39&#x2013;5.77), and 5.15 (1.66&#x2013;12.6), respectively. Regarding survival outcomes, FOLFIRI + Cmab (HR = 0.75, 95% CrI = 0.57&#x2013;0.93 for OS and HR = 0.69, 95% CrI = 0.50&#x2013;0.93 for PFS), FOLFOX (HR = 0.80, 95% CrI = 0.67&#x2013;0.96 for OS and HR = 0.68, 95% CrI = 0.53&#x2013;0.89 for PFS), FOLFOX + Cmab (HR = 0.66, 95% CrI = 0.49&#x2013;0.87 for OS and HR = 0.60, 95% CrI = 0.44&#x2013;0.82 for PFS), and FOLFOX + Pmab (HR = 0.77, 95% CrI = 0.59&#x2013;0.99 for OS and HR = 0.67, 95% CrI = 0.48&#x2013;0.93 for PFS) prolonged both OS and PFS compared with FOLFIRI. PFS was significantly longer in patients treated with the FOLFIRI + Bmab, FOLFOX + Bmab, and FOLFOXIRI + Bmab regimens (36, 30, and 37%, respectively) than in patients treated with the FOLFIRI regimen. In terms of safety endpoints, including AEs grade &#x2265;3 and SAEs, the treatment effects were comparable between the 11 treatments and FOLFIRI; however, a 47% lower probability of SAEs was observed in the FOLFOX treatment group relative to the FOLFIRI treatment group (OR = 0.53, 95% CrI = 0.27&#x2013;0.97). The complete results for pairwise comparisons of all the six outcomes are available in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables S4&#x2013;S6</bold>
</xref>.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Scatter plot showing differences in estimates obtained from fixed-effects, random-effects, and meta-regression models. ORR, overall response rate; DCR, disease control rate; OS, overall survival; PFS, progression-free survival; AEs, adverse events; SAEs, serious adverse events; FOLFIRI, 5-fluorouracil/leucovorin/irinotecan; FOLFOX, 5-fluorouracil/leucovorin/oxaliplatin; FOLFOFIRI, 5-fluorouracil/leucovorin/oxaliplatin/irinotecan; XELOX, capecitabine/oxaliplatin; XELIRI, capecitabine/irinotecan; Bmab, bevacizumab; Cmab, cetuximab; Pmab, panitumumab.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-756214-g005.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>Inconsistency and Heterogeneity Assumption</title>
<p>In the inconsistency analysis, no significant differences were observed between direct and indirect estimates of PFS, AEs grade &#x2265;3, and SAEs outcomes (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S7</bold>
</xref>). The statistical inconsistency between direct and indirect estimates of the ORR for FOLFIRI + Pmab vs FOLFIRI + Bmab (p = 0.01) and FOLFOX + Pmab vs FOLFIRI + Pmab (p <italic>=</italic> 0.01); the DCR for FOLFOX + Pmab vs. FOLFOX (p = 0.04), XELOX + Cmab vs. XELOX (p = 0.01), XELOX + Bmab + Cmab vs. XELOX + Bmab (p = 0.01), and XELOX + Bmab + Cmab vs. XELOX + Cmab (p = 0.004), and the OS for FOLFOXIRI + Bmab vs. FOLFIRI + Bmab (p <italic>=</italic> 0.01) and FOLFOXIRI + Bmab vs. FOLFOX + Bmab (p <italic>=</italic> 0.01) was observed in the node-splitting model. The between-trial variance is reported as the global <italic>I<sup>2</sup>
</italic> value in both pairwise and consistency estimates, and the substantial heterogeneity is reported as a measure of ORR (<italic>I<sup>2</sup> =</italic> 39%), DCR (<italic>I<sup>2</sup> =</italic> 32%), OS (<italic>I<sup>2</sup> =</italic> 30%), PFS (<italic>I<sup>2</sup> =</italic> 69%), and AEs grade &#x2265;3 (<italic>I<sup>2</sup> =</italic> 84%) for pairwise <italic>I<sup>2</sup>
</italic> and ORR (<italic>I<sup>2</sup> =</italic> 38%), DCR (<italic>I<sup>2</sup> =</italic> 49%), OS (<italic>I<sup>2</sup>
</italic> = 53%), PFS (<italic>I<sup>2</sup>
</italic> = 70%), and AEs grade &#x2265;3 (<italic>I<sup>2</sup>
</italic> = 81%) for consistent <italic>I<sup>2</sup>
</italic> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S8</bold>
</xref>).</p>
</sec>
<sec id="s3_7">
<title>Sensitivity Analysis</title>
<p>The pooled ORs/HRs for all the effect sizes from the random effects model were compared with the those of the fixed effects model and the meta-regression of treatment line covariates in a scatter plot with the slope of the straight line equal to one. The results were similar among the three models, except for some estimates of ORR and DCR outcomes for the comparison of the random-effects model with both fixed-effects and meta-regression models (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Thus, the estimates obtained after including the treatment line in the meta-regression model did not differ substantially from those in the random-effects model.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Treatment efficacy and safety compared with FOLFIRI. ORR, overall response rate; DCR, disease control rate; OS, overall survival; PFS, progression-free survival; AEs, adverse events; SAEs, serious adverse events.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-756214-g006.tif"/>
</fig>
<p>Parameters for the comparison of model performance of fixed-effects, random-effects, and meta-regression models are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Overall, the deviance information criteria values in the random effects models were relatively lower than those in the fixed effects and meta-regression models, which suggested better model performance.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Parameters used for model selection.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Outcome</th>
<th valign="top" align="center">Parameter</th>
<th valign="top" align="center">Fixed effects</th>
<th valign="top" align="center">Random effects</th>
<th valign="top" align="center">Meta-regression</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="5" align="left">Overall response rate</td>
<td valign="top" align="left">Posterior mean residual deviance, <inline-formula>
<mml:math display="inline" id="im1">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">253</td>
<td valign="top" align="center">203</td>
<td valign="top" align="center">202.1</td>
</tr>
<tr>
<td valign="top" align="left">Posterior mean deviances, <inline-formula>
<mml:math display="inline" id="im2">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>m</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>l</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">1,179.01</td>
<td valign="top" align="center">1,128.59</td>
<td valign="top" align="center">1,128.44</td>
</tr>
<tr>
<td valign="top" align="left">Effective number of parameters, <italic>p<sub>D</sub>
</italic>
</td>
<td valign="top" align="center">133.36</td>
<td valign="top" align="center">160.774</td>
<td valign="top" align="center">161.692</td>
</tr>
<tr>
<td valign="top" align="left">Between-study standard deviation, &#x3c3;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.283</td>
<td valign="top" align="center">0.286</td>
</tr>
<tr>
<td valign="top" align="left">Deviance information criteria, <italic>DIC</italic>
</td>
<td valign="top" align="center">1,312.37</td>
<td valign="top" align="center">1,289.36</td>
<td valign="top" align="center">1,290.13</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Disease control rate</td>
<td valign="top" align="left">Posterior mean residual deviance, <inline-formula>
<mml:math display="inline" id="im3">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">203.4</td>
<td valign="top" align="center"/>
<td valign="top" align="center">160.2</td>
</tr>
<tr>
<td valign="top" align="left">Posterior mean deviances, <inline-formula>
<mml:math display="inline" id="im4">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>m</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>l</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">860.277</td>
<td valign="top" align="center">811.14</td>
<td valign="top" align="center">816.581</td>
</tr>
<tr>
<td valign="top" align="left">Effective number of parameters, <italic>p<sub>D</sub>
</italic>
</td>
<td valign="top" align="center">104.06</td>
<td valign="top" align="center">126.235</td>
<td valign="top" align="center">123.259</td>
</tr>
<tr>
<td valign="top" align="left">Between-study standard deviation, &#x3c3;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.409</td>
<td valign="top" align="center">0.316</td>
</tr>
<tr>
<td valign="top" align="left">Deviance information criteria, <italic>DIC</italic>
</td>
<td valign="top" align="center">964.337</td>
<td valign="top" align="center">937.374</td>
<td valign="top" align="center">939.84</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Overall survival</td>
<td valign="top" align="left">Posterior mean residual deviance, <inline-formula>
<mml:math display="inline" id="im5">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">69.15</td>
<td valign="top" align="center">50.93</td>
<td valign="top" align="center">51.3</td>
</tr>
<tr>
<td valign="top" align="left">Posterior mean deviances, <inline-formula>
<mml:math display="inline" id="im6">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>m</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>l</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">&#x2212;21.076</td>
<td valign="top" align="center">&#x2212;39.326</td>
<td valign="top" align="center">&#x2212;38.918</td>
</tr>
<tr>
<td valign="top" align="left">Effective number of parameters, <italic>p<sub>D</sub>
</italic>
</td>
<td valign="top" align="center">20.992</td>
<td valign="top" align="center">32.378</td>
<td valign="top" align="center">32.296</td>
</tr>
<tr>
<td valign="top" align="left">Between-study standard deviation, &#x3c3;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">0.026</td>
</tr>
<tr>
<td valign="top" align="left">Deviance information criteria, <italic>DIC</italic>
</td>
<td valign="top" align="center">&#x2212;0.084</td>
<td valign="top" align="center">&#x2212;6.948</td>
<td valign="top" align="center">&#x2212;6.622</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Progression-free survival</td>
<td valign="top" align="left">Posterior mean residual deviance, <inline-formula>
<mml:math display="inline" id="im7">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">109.2</td>
<td valign="top" align="center">51.25</td>
<td valign="top" align="center">51.22</td>
</tr>
<tr>
<td valign="top" align="left">Posterior mean deviances, <inline-formula>
<mml:math display="inline" id="im8">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>m</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>l</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">1.442</td>
<td valign="top" align="center">&#x2212;56.466</td>
<td valign="top" align="center">&#x2212;56.488</td>
</tr>
<tr>
<td valign="top" align="left">Effective number of parameters, <italic>p<sub>D</sub>
</italic>
</td>
<td valign="top" align="center">21.982</td>
<td valign="top" align="center">40.924</td>
<td valign="top" align="center">40.944</td>
</tr>
<tr>
<td valign="top" align="left">Between-study standard deviation, &#x3c3;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.193</td>
<td valign="top" align="center">0.193</td>
</tr>
<tr>
<td valign="top" align="left">Deviance information criteria, <italic>DIC</italic>
</td>
<td valign="top" align="center">23.424</td>
<td valign="top" align="center">&#x2212;15.542</td>
<td valign="top" align="center">&#x2212;15.544</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Adverse events grade &#x2265;3</td>
<td valign="top" align="left">Posterior mean residual deviance, <inline-formula>
<mml:math display="inline" id="im9">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">186.3</td>
<td valign="top" align="center">71.62</td>
<td valign="top" align="center">71.53</td>
</tr>
<tr>
<td valign="top" align="left">Posterior mean deviances, <inline-formula>
<mml:math display="inline" id="im10">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>m</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>l</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">537.81</td>
<td valign="top" align="center">423.174</td>
<td valign="top" align="center">423.094</td>
</tr>
<tr>
<td valign="top" align="left">Effective number of parameters, <italic>p<sub>D</sub>
</italic>
</td>
<td valign="top" align="center">52.067</td>
<td valign="top" align="center">68.344</td>
<td valign="top" align="center">68.582</td>
</tr>
<tr>
<td valign="top" align="left">Between-study standard deviation, &#x3c3;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.742</td>
<td valign="top" align="center">0.768</td>
</tr>
<tr>
<td valign="top" align="left">Deviance information criteria, <italic>DIC</italic>
</td>
<td valign="top" align="center">589.877</td>
<td valign="top" align="center">491.519</td>
<td valign="top" align="center">491.676</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Serious adverse events</td>
<td valign="top" align="left">Posterior mean residual deviance, <inline-formula>
<mml:math display="inline" id="im11">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>s</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">39.09</td>
<td valign="top" align="center">39.65</td>
<td valign="top" align="center">39.44</td>
</tr>
<tr>
<td valign="top" align="left">Posterior mean deviances, <inline-formula>
<mml:math display="inline" id="im12">
<mml:mrow>
<mml:msub>
<mml:mover accent="true">
<mml:mi>D</mml:mi>
<mml:mo>&#xaf;</mml:mo>
</mml:mover>
<mml:mrow>
<mml:mi>m</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>d</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>l</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="center">250.384</td>
<td valign="top" align="center">250.95</td>
<td valign="top" align="center">250.741</td>
</tr>
<tr>
<td valign="top" align="left">Effective number of parameters, <italic>p<sub>D</sub>
</italic>
</td>
<td valign="top" align="center">36.036</td>
<td valign="top" align="center">37.597</td>
<td valign="top" align="center">38.364</td>
</tr>
<tr>
<td valign="top" align="left">Between-study standard deviation, &#x3c3;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.136</td>
<td valign="top" align="center">0.159</td>
</tr>
<tr>
<td valign="top" align="left">Deviance information criteria, <italic>DIC</italic>
</td>
<td valign="top" align="center">286.42</td>
<td valign="top" align="center">288.547</td>
<td valign="top" align="center">289.106</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_8">
<title>Treatment Ranking Probability and SUCRA Clustering Analysis</title>
<p>
<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S9</bold>
</xref> show the probabilities of each regimen being used as primary and secondary options for the treatment of advanced or metastatic CRC. Compared to the other regimens, FOLFOXIRI + Pmab had the highest probability of becoming a first-line candidate that improved both the ORR (43%) and the DCR (86%). In addition, XELOX + Cmab and FOLFOXIRI + Bmab were most likely to be second-line therapies in terms of improving the ORR (26%) and DCR (47%), respectively. When considering OS and PFS, capecitabine + Bmab had the highest probability of becoming a first-line candidate, with ranking probabilities of 56% for OS and 39% for PFS. Furthermore, capecitabine and FOLFIRI + Bmab + Pmab were considered to be the second-line candidates for prolonging OS (36%) and PFS (19%), respectively, and had the highest probability of becoming a first-line candidate for prolonging OS (56%) and PFS (39%). A similar trend was observed for AEs grade &#x2265;3, with a value of 29% for oxaliplatin followed by 21% for leucovorin + 5-FU as a first-line therapy and 26% for leucovorin + 5-FU and 16% for oxaliplatin as a second-line therapy. Although XELOX + Bmab had the greatest probability of decreasing the number of SAEs when used as a primary treatment (62%), XELOX + Bmab + Cmab was suggested as a secondary therapy (36%).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>First-line and second-line treatment ranking probabilities. ORR, overall response rate; DCR, disease control rate; OS, overall survival; PFS, progression-free survival; AEs, adverse events; SAEs, serious adverse events; X, capecitabine; B, bevacizumab; C, cetuximab; F, 5-fluorouracil; I, irinotecan; L, leucovorin; O, oxaliplatin; P, panitumumab.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-756214-g007.tif"/>
</fig>
<p>The SUCRA value, which summarizes the cumulative ranking of the treatment line, was calculated for each treatment (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The highest SUCRA values were observed for ORR (96%) and DCR (99%) in patients treated with FOLFOXI + Pmab, OS (62%) and PFS (54%) in patients treated with FOLFIRI + Bmab + Pmab, and AEs grade &#x2265;3 (59%) and SAEs (59%) in patients treated with FOLFOXIRI + Bmab. <xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref> displays the association between the SUCRA value and each pair of outcomes. Substantial Spearman&#x2019;s correlations were observed between the SUCRA values for ORR and DCR (0.61), ORR and OS (0.67), and AEs grade &#x2265;3 and SAEs (0.61). The enhanced k-means cluster analysis showed that the groups of treatments exerted a similar pairwise effect on the outcomes. Overall, treatments with higher SUCRA values were located in the upper right quadrant of the plot; in contrast, those with lower SUCRA values were located in the lower left quadrant of the plot.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>SUCRA rankings for colorectal cancer treatments.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Treatment</th>
<th valign="top" align="center">ORR</th>
<th valign="top" align="center">DCR</th>
<th valign="top" align="center">OS</th>
<th valign="top" align="center">PFS</th>
<th valign="top" align="center">AEs grade &#x2265;3</th>
<th valign="top" align="center">SAEs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">LFI</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">LFIB</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.23</td>
</tr>
<tr>
<td valign="top" align="left">LFIC</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">LFIP</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">0.42</td>
</tr>
<tr>
<td valign="top" align="left">LFIBP</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LFO</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">0.48</td>
</tr>
<tr>
<td valign="top" align="left">LFOB</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">LFOC</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left">LFOP</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">LFOI</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LFOIB</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left">LFOIC</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LFOIP</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LF</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LFB</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LFC</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LFBC</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left">LFP</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left">CB</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CI</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CIB</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">IO</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">IOB</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">IP</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">FI</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">XB</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left">XC</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">XI</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">XIB</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left">XIC</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">XO</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">XOB</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.58</td>
</tr>
<tr>
<td valign="top" align="left">XOC</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">XOBC</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="left">X</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left">C</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">I</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">O</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">P</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ORR, overall response rate; DCR, disease control rate; OS, overall survival; PFS, progression-free survival; AEs, adverse events; SAEs, serious adverse events; X, capecitabine; B, bevacizumab; C, cetuximab; F, 5-fluorouracil; I, irinotecan; L, leucovorin; O, oxaliplatin; P, panitumumab.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>SUCRA ranking plot and cluster analysis. ORR, overall response rate; DCR, disease control rate; OS, overall survival; PFS, progression-free survival; AEs, adverse events; SAEs, serious adverse events; X, capecitabine; B, bevacizumab; C, cetuximab; F, 5-fluorouracil; I, irinotecan; L, leucovorin; O, oxaliplatin; P, panitumumab.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-756214-g008.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>This study investigated the comparative efficacy and safety of different regimens used to treat advanced or metastatic CRC. The pairwise treatment effects of 39, 35, 22, 23, 19, and 16 systemic therapies on the ORR, DCR, OS, PFS, AEs grade &#x2265;3, and SAEs were compared using a comprehensive NMA. Compared with the FOLFIRI regimen, which was administered to the greatest number of participants, the other 9 treatments, namely, FOLFIRI + (Bmab or Cmab or Pmab), FOLFOX &#xb1; Bmab/Cmab/Pmab, and XELIRI/XELOX + Bmab, significantly improved at least one outcome. The highest probabilities of being used as a first-line treatment to improve ORR, DCR, OS, PFS, AEs grade &#x2265;3, and SAEs were reported for FOLFOXIRI + Pmab, FOLFOXIRI + Pmab, capecitabine + Bmab, capecitabine + Bmab, oxaliplatin, and XELOX + Bmab, respectively.</p>
<p>In this study, the replacement of irinotecan in the FOLFIRI regimen by oxaliplatin in the FOLFOX combination resulted in a higher efficacy of prolonging OS and PFS but a lower safety profile of SAEs. Although the efficacy and safety of XELIRI vs. XELOX, XELIRI + Bmab vs. XELOX + Cmab, and irinotecan vs. oxaliplatin were not evaluated, the treatment effects of other irinotecan-based vs. oxaliplatin-based regimens, such as FOLFIRI + Bmab/Cmab/Pmab vs. FOLFOX + Bmab/Cmab/Pmab, were comparable. The ORR, DCR, and AEs grade &#x2265;3 were not significantly different between all the irinotecan-based and oxaliplatin-based treatments (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;4&#x2013;6</bold>
</xref>).</p>
<p>Compared with the common regimens, namely, FOLFOX, FOLFIRI, and FOLFOXIRI, the addition of Bmab and/or Cmab and/or Pmab to these regimens resulted in a significant improvement in some treatment outcomes. Compared with FOLFIRI, FOLFIRI + Bmab/Cmab/Pmab increased the ORR, FOLFIRI + Bmab increased the DCR, and FOLFIRI + Cmab and FOLFIRI + Bmab + Pmab prolonged both OS and PFS, whereas FOLFIRI + Bmab prolonged PFS only, but safety outcomes were not significantly different. In addition, FOLFOX + Pmab was associated with a greater number of SAEs than FOLFOX. The ORR and the DCR of the FOLFOXIRI + Bmab group were better than those of the FOLFIRI group, and FOLFOXIRI + Pmab exerted better effects on the ORR and the DCR than did FOLFIRI, FOLFOX, and FOLFOXIRI (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;4&#x2013;6</bold>
</xref>). The greater the number of drugs in the combination regimen, the higher the potential efficacy; however, the safety profile might remain similar.</p>
<p>Ba-Sang et&#xa0;al. reported the comparative response of patients to 17 regimens using an NMA and suggested the potential effect of Bmab + chemotherapy and Pmab + chemotherapy regimens compared with other targeted therapies (<xref ref-type="bibr" rid="B6">6</xref>). Another NMA of 10 regimens recommended considering FOLFIRI and FOLFOX as first-line therapies for short-term and long-term advanced CRC treatments (<xref ref-type="bibr" rid="B7">7</xref>). According to the US Food and Drug Administration, FOLFOX is indicated for the treatment of adjuvant stage III or advanced CRC, whereas FOLFIRI is approved as a first-line treatment for metastatic CRC (<xref ref-type="bibr" rid="B119">119</xref>, <xref ref-type="bibr" rid="B120">120</xref>). However, in the current NMA, the prolongation of OS and PFS by FOLFOX relative to FOLFIRI suggests a possible indication of FOLFOX for metastatic CRC. Furthermore, by implementing different approaches and selecting regimens using the NMA, the current study focused on the commonly used drugs in clinical practice and suggested that not only FOLFIRI and FOLFOX but also their combination with Bmab or Cmab or Pmab into these regimens might result in superior efficacy or safety. Consistent with our findings, Bmab, which is a vascular endothelial growth factor (VEGF) monoclonal antibody, is also indicated as a second-line treatment for metastatic CRC in combination with 5-FU + irinotecan-based or 5-FU + oxaliplatin-based chemotherapy (<xref ref-type="bibr" rid="B121">121</xref>). Other epidermal growth factor receptor (EGFR) inhibitors, namely, Cmab and Pmab, can be administered as single agents after the failure of irinotecan-based and oxaliplatin-based regimens (<xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B123">123</xref>). Similar findings were observed upon comparing the ORR and the DCR of Cmab or Pmab vs FOLFIRI or FOLFOX, Cmab vs. FOLFIRI + Cmab or FOLFOX + Cmab, and Pmab vs. FOLFIRI + Pmab or FOLFOX + Pmab regimens. Although data for survival and safety outcomes of patients treated with Cmab or Pmab are available, they do not contribute to the connection to the main network; thus, these treatment effects were not evaluated.</p>
<p>Given the systemic toxicity and unpredictable resistance to chemotherapy, Xie et&#xa0;al. recently conducted a comprehensive review of targeted therapy for patients with CRC (<xref ref-type="bibr" rid="B124">124</xref>). Most currently approved agents for patients with advanced-stage metastatic disease target EGFR- and VEGF-related pathways, namely, Cmab and Pmab as EGFR inhibitors, vemurafenib as a BRAF inhibitor, dabrafenib + trametinib and encorafenib + binimetinib as MEK inhibitors, and Bmab, regorafenib, ziv-aflibercept, and ramucirumab as treatments targeting angiogenesis (<xref ref-type="bibr" rid="B124">124</xref>). Among them, anti-EGFR agents are recommended for patients with left-side metastatic CRC with the wild-type RAS genotype only, whereas anti-VEGF agents can be used regardless of the RAS mutation status (<xref ref-type="bibr" rid="B124">124</xref>). Furthermore, a 10% of BRAF (with common V600E substitution) mutation rate was reported in metastatic CRC (<xref ref-type="bibr" rid="B125">125</xref>). For these BRAF-mutated patients, chemotherapy + Bmab and FOLFOXIRI + Bmab showed good performance as a first-line treatment (<xref ref-type="bibr" rid="B125">125</xref>). However, regardless of the side and mutation status, our study determined the high efficacy of FOLFOXIRI + Pmab in terms of response and FOLFIRI + Bmab + Pmab in terms of survival outcomes. We also reported FOLFOXIRI + Bmab as a treatment with high safety.</p>
<p>To the knowledge of the authors, this study is the first to investigate both the efficacy and safety of common drugs used to treat advanced or metastatic CRC. The individual studies were derived from a large number of RCTs and participants. Efficacy and safety were investigated through different surrogates to yield consistent findings. The statistical analysis was conducted using the Bayesian approach, with the appropriate prior distribution of variables, which produced reliable results. Bayesian assumptions, such as consistency and heterogeneity, were checked and reported. A sensitivity analysis among three core models was also performed to obtain robust estimates.</p>
<p>Despite these advantages, the current NMA has some limitations. First, due to a lack of head-to-head trials, several treatments were excluded from the network of different outcomes. Second, the combination of treatments with different dosage forms and the treatment plan might have affected the final estimates. Third, the limitation of the meta-analysis in considering differences across studies due to patient characteristics must be addressed. Recent methods have been proposed to account the heterogeneity between trial results in meta-analyses (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B127">127</xref>); however, the application of NMA requires further investigation. Fourth, the current study did not yield an ideal index for both efficacy and safety from six evaluated endpoints to select the ideal regimen for the treatment of advanced or metastatic CRC. Additional research data and an optimized algorithm are required to correct this deviation (<xref ref-type="bibr" rid="B128">128</xref>, <xref ref-type="bibr" rid="B129">129</xref>).</p>
<p>In summary, we performed an NMA of available RCTs to investigate the efficacy and safety of various therapies for advanced or metastatic CRC. We observed good efficacy of FOLFOXIRI + Pmab in terms of response and FOLFIRI + Bmab + Pmab in terms of survival outcomes and good safety profile for FOLFOXIRI + Bmab. We propose that this overview provides the most appropriate evidence for a range of efficient therapies and may inform clinical practice and decision making and aid in the planning for future research. Further studies may develop a novel endpoint that considers both the efficacy and safety of regimens and consider the side and mutation status to confirm our findings.</p>
</sec>
<sec id="s5" 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="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>We greatly appreciate the efforts of those individuals who contributed to this study. The authors&#x2019; responsibilities were as follows: TH and JK designed the research. TH, DS, BK, YC, and JK conducted the research. TH analyzed the data. TH and JK wrote the paper and are primarily responsible for the final content. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by grants from the National Cancer Center (Nos. 1710882 and 2210990).</p>
</sec>
<sec id="s8" 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="s9" 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>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The author, TH, expresses appreciation for the support from the &#x201c;Global Leadership&#x201d; program of the Korea Safety Health Environment Foundation. We thank Tho Thi Anh Tran, from Nghe An Oncology Hospital, for her useful comments on this study.</p>
</ack>
<sec id="s10" 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.2021.756214/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2021.756214/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
<supplementary-material xlink:href="DataSheet_2.pdf" id="SM2" mimetype="application/pdf"/>
</sec>
<sec id="s11">
<title>Abbreviations</title>
<p>CRC, colorectal cancer; NMA, network meta-analysis; OR, odds ratio; HR, hazard ratio; CrI, credible interval; ORR, overall response rate; DCR, disease control rate; OS, overall survival; PFS, progression-free survival; AEs, adverse events; SAEs, serious adverse events; FOLFIRI, 5-fluorouracil/leucovorin/irinotecan; FOLFOX, 5-fluorouracil/leucovorin/oxaliplatin; FOLFOFIRI, 5-fluorouracil/leucovorin/oxaliplatin/irinotecan; XELOX, capecitabine/oxaliplatin; XELIRI, capecitabine/irinotecan; 5-FU, 5-fluorouracil; Bmab, bevacizumab; Cmab, cetuximab; Pmab, panitumumab.</p>
</sec>
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