Bonneville Russell, Krook Melanie A, Chen Hui-Zi, Smith Amy, Samorodnitsky Eric, Wing Michele R, Reeser Julie W, Roychowdhury Sameek
Division of Medical Oncology, Department of Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Biomedical Sciences Graduate Program, The Ohio State University, Columbus, OH, USA.
Methods Mol Biol. 2020;2055:119-132. doi: 10.1007/978-1-4939-9773-2_5.
A high level of microsatellite instability (MSI-H+) is an emerging predictive and prognostic biomarker for immunotherapy response in cancer. Recently, MSI-H+ has been detected in a variety of cancer types, in addition to the classical cancers associated with Lynch Syndrome. Clinical testing for MSI-H+ is currently performed primarily through traditional polymerase chain reaction (PCR) or immunohistochemistry (IHC) assays. However, next-generation sequencing (NGS)-based approaches have been developed which have multiple advantages over traditional assays. For instance, NGS has the ability to interrogate thousands of microsatellite loci compared with just 5-7 loci that are detected by PCR. In this chapter, we detail the biochemical and computational steps to detect MSI-H+ from analysis of paired tumor and normal samples through NGS. We begin with DNA extraction, describe sequencing library preparation and quality control (QC), and outline the bioinformatics steps necessary for sequence alignment, preprocessing, and MSI-H+ detection using the software tool MANTIS. This workflow is intended to facilitate more widespread usage and adaptation of NGS-powered MSI detection, which can be eventually standardized for routine clinical testing.
高度微卫星不稳定(MSI-H+)是一种新兴的癌症免疫治疗反应预测和预后生物标志物。最近,除了与林奇综合征相关的经典癌症外,在多种癌症类型中都检测到了MSI-H+。目前,MSI-H+的临床检测主要通过传统聚合酶链反应(PCR)或免疫组织化学(IHC)检测进行。然而,基于新一代测序(NGS)的方法已经开发出来,与传统检测方法相比具有多个优势。例如,与PCR只能检测5-7个位点相比,NGS能够检测数千个微卫星位点。在本章中,我们详细介绍了通过NGS分析配对肿瘤和正常样本以检测MSI-H+的生化和计算步骤。我们从DNA提取开始,描述测序文库制备和质量控制(QC),并概述使用软件工具MANTIS进行序列比对、预处理和MSI-H+检测所需的生物信息学步骤。此工作流程旨在促进更广泛地使用和采用NGS驱动的MSI检测,最终可将其标准化用于常规临床检测。