Individual Patient Data Meta-Analysis of Consensus Molecular Subtypes as Biomarkers of First-Line Treatment in RAS Wild-Type Metastatic Colorectal Cancer

医学 结直肠癌 肿瘤科 内科学 危险系数 比例危险模型 患者数据 总体生存率 优势比 临床试验 分子生物标志物 癌症 荟萃分析 病态的 生存分析 广义估计方程 逻辑回归 生物标志物 梅德林 风险因素
作者
Arndt Stahler,Dominik Paul Modest,Sebastian Stintzing,Beatrice Borelli,Theresa Keller,Swantje Held,Ludwig Fischer von Weikersthal,Lothar Müller,Ullrich Graeven,Thomas Decker,Tobias Heintges,Christoph Kahl,Beeke Hoppe,Alexander Kiani,Florian Kaiser,Ingo Schwaner,Stefan Fruehauf,Meinolf Karthaus,Tanja Trarbach,Frederick Klauschen
出处
期刊:Journal of Clinical Oncology [American Society of Clinical Oncology]
卷期号:: JCO2500596-JCO2500596
标识
DOI:10.1200/jco-25-00596
摘要

PURPOSE Consensus molecular subtypes (CMSs) of metastatic colorectal cancer (mCRC) are debatable biomarkers. An individual patient data (IPD) meta-analysis was performed to test for impact on objective response rates (ORRs), progression-free survival (PFS) and overall survival (OS), and treatment interaction. METHODS IPD ( RAS wild-type [WT] tumors treated per protocol [fluorouracil/capecitabine, irinotecan/oxaliplatin, anti–vascular endothelial growth factor {VEGF}/anti–epidermal growth factor receptor {EGFR} antibodies] and with evaluable CMSs) were collected from five trials identified in PubMed, Embase, Medline, Cochrane Library, and proceedings of ASCO/European Society for Medical Oncology: FIRE1 (no identifier), FIRE3 (ClinicalTrials.gov identifier: NCT00433927 ), XELAVIRI (ClinicalTrials.gov identifier: NCT01249638 ), PanaMa (ClinicalTrials.gov identifier: NCT01991873 ), and TRIBE2 (ClinicalTrials.gov identifier: NCT02339116 ). The one-step IPD meta-analysis approach assessed data taking the clustering of patients in the studies into account (ORR: generalized estimating equations models; PFS/OS: Cox models). RESULTS Seven hundred ninety patients were included: CMS1, n = 77 (9.7%); CMS2, n = 345 (43.7%); CMS3, n = 74 (9.4%); and CMS4, n = 294 (37.2%). Between-study heterogeneity was negligible (variance < 1 × 10 −6 ). Compared with CMS1, CMS2 and CMS4 tumors had numerically higher odds ratios (OR) for ORR (CMS2: OR, 1.668 [95% CI, 0.982 to 2.836]; P = .059; CMS4: OR, 1.369 [95% CI, 0.874 to 2.146]; P = .170), and longer PFS (CMS2: hazard ratios [HR], 0.64 [95% CI, 0.48 to 0.85]; P = .002; CMS4: HR, 0.67 [95% CI, 0.50 to 0.91]; P = .009) and OS (CMS2: HR, 0.59 [95% CI, 0.43 to 0.80]; P < .001; CMS4: HR, 0.67 [95% CI, 0.49 to 0.92]; P = .01). The use of anti-EGFR versus anti-VEGF antibodies meaningfully improved PFS (HR, 0.67 [95% CI, 0.46 to 0.97]; P = .03) and OS (HR, 0.49 [95% CI, 0.33 to 0.72]; P < .001) in CMS4 tumors and was consistently observed for CMS4 RAS / BRAF WT (HR, 0.55 [95% CI, 0.37 to 0.83]; P = .004) or microsatellite stable status (HR, 0.52 [95% CI, 0.32 to 0.86]; P = .01). The interaction test of antibody treatment with CMSs was significant for PFS ( P < .001) and OS ( P < .001) in all patients and for OS in patients with RAS / BRAF WT tumors ( P = .02). CONCLUSION CMS4 might be an additional biomarker of anti-EGFR treatment efficacy in RAS (and BRAF ) WT mCRC.
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