Atezolizumab versus chemotherapy in advanced or metastatic NSCLC with high blood-based tumor mutational burden: primary analysis of BFAST cohort C randomized phase 3 trial

阿替唑单抗 医学 肿瘤科 内科学 危险系数 肺癌 临床终点 人口 队列 生物标志物 随机对照试验 置信区间 癌症 彭布罗利珠单抗 免疫疗法 化学 环境卫生 生物化学
作者
Solange Peters,Rafał Dziadziuszko,Alessandro Morabito,Enriqueta Felip,Shirish M. Gadgeel,Parneet Cheema,Manuel Cobo,Zoran Andrić,Carlos H. Barrios,Masafumi Yamaguchi,Éric Dansin,Pongwut Danchaivijitr,Melissa L. Johnson,Silvia Novello,Michael Mathisen,Sarah M. Shagan,Erica Schleifman,Jin Wang,Mark Yan,Simonetta Mocci
出处
期刊:Nature Medicine [Nature Portfolio]
卷期号:28 (9): 1831-1839 被引量:73
标识
DOI:10.1038/s41591-022-01933-w
摘要

Tumor mutational burden (TMB) is being explored as a predictive biomarker for cancer immunotherapy outcomes in non-small cell lung cancer. BFAST (NCT03178552)-an open-label, global, multicohort trial-evaluated the safety and efficacy of first-line targeted therapies or immunotherapy in patients with unresectable Stage IIIB or IV advanced or metastatic non-small cell lung cancer who were selected for biomarker status using blood-based targeted next-generation sequencing. In the Phase 3 cohort C evaluating blood-based (b)TMB as a biomarker of atezolizumab efficacy, patients with bTMB of ≥10 (N = 471) were randomized 1:1 to receive atezolizumab or platinum-based chemotherapy per local standard of care. Cohort C did not meet its primary endpoint of investigator-assessed progression-free survival in the population with bTMB of ≥16 (hazard ratio, 0.77; 95% confidence interval: 0.59, 1.00; P = 0.053). Adverse events leading to treatment withdrawal occurred in 10% of patients in the atezolizumab arm and 20% in the chemotherapy arm. Adverse events of special interest occurred in 42% of patients in the atezolizumab arm and 26% in the chemotherapy arm. A prespecified exploratory analysis compared the bTMB clinical trial assay with the FoundationOne Liquid Companion Diagnostic assay and showed high concordance between assays. Additional exploration of bTMB to identify optimal cutoffs, confounding factors, assay improvements or cooperative biomarkers is warranted.
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