Roh Whijae, Chen Pei-Ling, Reuben Alexandre, Spencer Christine N, Prieto Peter A, Miller John P, Gopalakrishnan Vancheswaran, Wang Feng, Cooper Zachary A, Reddy Sangeetha M, Gumbs Curtis, Little Latasha, Chang Qing, Chen Wei-Shen, Wani Khalida, De Macedo Mariana Petaccia, Chen Eveline, Austin-Breneman Jacob L, Jiang Hong, Roszik Jason, Tetzlaff Michael T, Davies Michael A, Gershenwald Jeffrey E, Tawbi Hussein, Lazar Alexander J, Hwu Patrick, Hwu Wen-Jen, Diab Adi, Glitza Isabella C, Patel Sapna P, Woodman Scott E, Amaria Rodabe N, Prieto Victor G, Hu Jianhua, Sharma Padmanee, Allison James P, Chin Lynda, Zhang Jianhua, Wargo Jennifer A, Futreal P Andrew
Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Cancer Biology Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at Houston, Houston, TX 77030, USA.
Sci Transl Med. 2017 Mar 1;9(379). doi: 10.1126/scitranslmed.aah3560.
Immune checkpoint blockade produces clinical benefit in many patients. However, better biomarkers of response are still needed, and mechanisms of resistance remain incompletely understood. To address this, we recently studied a cohort of melanoma patients treated with sequential checkpoint blockade against cytotoxic T lymphocyte antigen-4 (CTLA-4) followed by programmed death receptor-1 (PD-1) and identified immune markers of response and resistance. Building on these studies, we performed deep molecular profiling including T cell receptor sequencing and whole-exome sequencing within the same cohort and demonstrated that a more clonal T cell repertoire was predictive of response to PD-1 but not CTLA-4 blockade. Analysis of CNAs identified a higher burden of copy number loss in nonresponders to CTLA-4 and PD-1 blockade and found that it was associated with decreased expression of genes in immune-related pathways. The effect of mutational load and burden of copy number loss on response was nonredundant, suggesting the potential utility of a combinatorial biomarker to optimize patient care with checkpoint blockade therapy.
免疫检查点阻断在许多患者中产生了临床益处。然而,仍需要更好的反应生物标志物,并且耐药机制仍未完全了解。为了解决这个问题,我们最近研究了一组黑色素瘤患者,他们接受了针对细胞毒性T淋巴细胞抗原4(CTLA-4)的序贯检查点阻断治疗,随后接受程序性死亡受体1(PD-1)治疗,并确定了反应和耐药的免疫标志物。基于这些研究,我们在同一队列中进行了深度分子分析,包括T细胞受体测序和全外显子测序,并证明更克隆性的T细胞库可预测对PD-1的反应,但不能预测对CTLA-4阻断的反应。对拷贝数变异的分析发现,对CTLA-4和PD-1阻断无反应者的拷贝数丢失负担更高,并发现其与免疫相关途径中基因表达的降低有关。突变负荷和拷贝数丢失负担对反应的影响并非多余,这表明组合生物标志物在优化检查点阻断治疗的患者护理方面具有潜在效用。