Yang Richard K, Qing Yun, Jelloul Fatima Zahra, Routbort Mark J, Wang Peng, Shaw Kenna, Zhang Jiexin, Lee Jack, Medeiros L Jeffrey, Kopetz Scott, Tetzlaff Michael T, Broaddus Russell R
Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Oncotarget. 2020 Feb 11;11(6):600-618. doi: 10.18632/oncotarget.27466.
Patients with advanced solid malignancies recurrent or resistant to standard therapy have limited treatment options. The role of molecular biomarkers for predicting immune checkpoint blockade (ICB) efficacy are not well characterized in these patients. Tumor mutational profiles of 490 patients with a variety of advanced solid tumors enrolled in a prospective protocol were analyzed to identify prognostic and predictive biomarkers. ICB therapy was defined as treatment with any CTLA-4, PD-1, and/or PD-L1 monoclonal antibody. ICB treatment was associated with significantly improved overall survival compared to non-ICB therapy. Multivariate regression analysis of tumor mutation burden (TMB) and ICB, and their interaction term, showed favorable survival associated with ICB, unfavorable survival associated with TMB without ICB treatment, and improved outcome with increasing TMB in ICB treated patients. Tumor mutation was associated with worse survival, but these patients still benefitted from ICB. A more comprehensive multivariate analysis including cancer type, specific gene mutations, and TMB revealed that ICB treatment was an independent predictor of improved overall survival. Therefore, ICB-based therapeutic trials are beneficial in patients with advanced solid malignancies, but the most benefit may be restricted to patients with the right combination of TMB and specific tumor histology and genotype.
对标准治疗复发或耐药的晚期实体恶性肿瘤患者的治疗选择有限。在这些患者中,分子生物标志物对预测免疫检查点阻断(ICB)疗效的作用尚未得到充分表征。分析了纳入一项前瞻性方案的490例患有各种晚期实体瘤患者的肿瘤突变谱,以确定预后和预测生物标志物。ICB治疗定义为使用任何CTLA-4、PD-1和/或PD-L1单克隆抗体进行治疗。与非ICB治疗相比,ICB治疗与总体生存率显著提高相关。对肿瘤突变负荷(TMB)和ICB及其交互项进行多变量回归分析,结果显示ICB治疗与良好的生存率相关,在未接受ICB治疗的情况下,TMB与不良生存率相关,而在接受ICB治疗的患者中,随着TMB增加,预后改善。肿瘤突变与较差的生存率相关,但这些患者仍从ICB治疗中获益。一项更全面的多变量分析,包括癌症类型、特定基因突变和TMB,结果显示ICB治疗是总体生存率改善的独立预测因素。因此,基于ICB的治疗试验对晚期实体恶性肿瘤患者有益,但最大的益处可能仅限于TMB与特定肿瘤组织学和基因型正确组合的患者。