Galuppini Francesca, Dal Pozzo Carlo Alberto, Deckert Jutta, Loupakis Fotios, Fassan Matteo, Baffa Raffaele
1Department of Medicine, Surgical Pathology Unit, University of Padua, Via Aristide Gabelli, 61, 35121 Padua, Italy.
Servier Pharmaceuticals, Boston, MA USA.
Cancer Cell Int. 2019 Aug 7;19:209. doi: 10.1186/s12935-019-0929-4. eCollection 2019.
The recent advent of immunomodulatory therapies into the clinic has demanded the identification of innovative predictive biomarkers to identify patients most likely to respond to immunotherapy and support the design of tailored clinical trials. Current molecular testing for selection of patients with gastrointestinal or pulmonary carcinomas relies on the prevalence of PD-L1 expression in tumor as well as immune cells by immunohistochemistry and/or on the evaluation of the microsatellite status. Tumor Mutational Burden (TMB) has emerged as a promising novel biomarker in this setting to further aid in patient selection. This has been facilitated by the increasing implementation of molecular pathology laboratories with comprehensive next generation sequencing (NGS) technologies. However, the significant overall costs and expertise required for the interpretation of NGS data has limited TMB evaluation in routine diagnostics, so far. This review focuses on the current use of TMB analysis in the clinical setting in the context of immune checkpoint inhibitor therapies.
免疫调节疗法最近进入临床,这就需要识别创新的预测性生物标志物,以确定最有可能对免疫疗法产生反应的患者,并支持量身定制的临床试验设计。目前用于选择胃肠道或肺癌患者的分子检测依赖于通过免疫组织化学检测肿瘤以及免疫细胞中PD-L1表达的普遍性和/或微卫星状态的评估。在这种情况下,肿瘤突变负荷(TMB)已成为一种有前景的新型生物标志物,可进一步辅助患者选择。随着配备全面的下一代测序(NGS)技术的分子病理学实验室越来越多,这一情况得到了推动。然而,目前NGS数据解读所需的高昂总体成本和专业知识限制了TMB在常规诊断中的评估。本综述重点关注免疫检查点抑制剂疗法背景下TMB分析在临床环境中的当前应用。