Shang Yun, Yang Longfeng, Hu Pengtao, Zhao Sihui, Xu Jianbiao, Zhao Yanwei, Ren Xing, Zhang Ding, He Qingzhong, Liu Xuefei
Department of Gastrointestinal and Bariatric Metabolic Surgery, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Department of Pulmonary and Critical Care Medicine, Heyuan People's Hospital, Guangdong Provincial People's Hospital Heyuan Hospital, Heyuan, Guangdong, China.
NPJ Precis Oncol. 2025 Aug 28;9(1):303. doi: 10.1038/s41698-025-01096-0.
Microsatellite instability (MSI) serves as an important therapeutic and prognostic marker. Immunohistochemistry (IHC) and polymerase chain reaction (PCR) have long been regarded as the "gold standard" for MSI detection. In recent years, next-generation sequencing (NGS)-based methods, offering expanded target coverage of microsatellite (MS) loci and improved analytical performance, have gained widespread acceptance. However, discrepancies between NGS and traditional methods have been occasionally reported. In this study, we conducted a large-scale retrospective analysis of MSI results of 35,563 Chinese pan-cancer cases which underwent a NGS test in a central clinical laboratory. Our work introduced a novel algorithm for NGS-based MSI detection, examined MSI-H prevalence and value distribution across cancer types, identifies MSI-associated genes and variants, evaluates the MSI detection discordance between PCR and NGS in a pan-cancer context, and distilled 7 MS loci suitable for pan-cancer MSI detection.
微卫星不稳定性(MSI)是一种重要的治疗和预后标志物。长期以来,免疫组织化学(IHC)和聚合酶链反应(PCR)一直被视为MSI检测的“金标准”。近年来,基于二代测序(NGS)的方法由于能够扩大微卫星(MS)位点的目标覆盖范围并提高分析性能,已得到广泛认可。然而,NGS与传统方法之间的差异偶尔也有报道。在本研究中,我们对在一家中心临床实验室接受NGS检测的35563例中国泛癌病例的MSI结果进行了大规模回顾性分析。我们的工作引入了一种基于NGS的MSI检测新算法,研究了MSI-H在各癌症类型中的患病率和值分布,鉴定了与MSI相关的基因和变异,评估了PCR和NGS在泛癌背景下MSI检测的不一致性,并筛选出7个适用于泛癌MSI检测的MS位点。