Department of Life Technologies, University of Turku, Turku, Finland.
Uro-Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Scand J Gastroenterol. 2022 Jul;57(7):842-855. doi: 10.1080/00365521.2022.2041717. Epub 2022 Mar 16.
Gastric cancer (GC) is a disease with high mortality, poor prognosis and numerous risk factors. GC has an asymptomatic nature in early stages of the diseases, making timely diagnosis complicated using common conventional approaches, namely pathological examinations and imaging tests. Recently, molecular profiling of GC using next generation sequencing (NGS) has opened new doors to efficient prognostic, diagnostic, and therapeutic strategies. The current review aims to thoroughly discuss and compare the current NGS techniques and commercial platforms utilized for GC diagnosis and treatment, highlighting the most recent NGS-based GC studies. Furthermore, this review addresses the challenges of clinical implementation of NGS in GC. This review was conducted according to the eligible studies identified via search of Web of Science, PubMed, Scopus, Embase and the Cochrane Library. In the present study, data on gastric cancer patients and NGS methods used to diagnose the disease were reviewed. Given the ever-rising advancements in NGS technologies, bioinformatics, healthcare guidelines and refined classifications, it is hoped that these technologies can actualize their advantages and optimize GC patients' experience.
胃癌（GC）是一种死亡率高、预后差且具有众多风险因素的疾病。GC 在疾病早期无症状，因此使用常见的常规方法（即病理检查和影像学检查）进行及时诊断变得复杂。最近，使用下一代测序（NGS）对 GC 进行分子分析为高效的预后、诊断和治疗策略开辟了新的途径。本综述旨在深入讨论和比较目前用于 GC 诊断和治疗的 NGS 技术和商业平台，重点介绍最新的基于 NGS 的 GC 研究。此外，本综述还探讨了 NGS 在 GC 中临床实施的挑战。本综述是根据在 Web of Science、PubMed、Scopus、Embase 和 Cochrane Library 中搜索到的合格研究进行的。在本研究中，对胃癌患者的数据和用于诊断该疾病的 NGS 方法进行了回顾。鉴于 NGS 技术、生物信息学、医疗保健指南和精细分类的不断发展，希望这些技术能够发挥其优势并优化 GC 患者的体验。
