精准医学视角下胃癌早期诊断的研究现状与进展
Journal: Basic Medical Theory Research DOI: 10.32629/bmtr.v8i3.20451
Abstract
胃癌是全球高发病率和高死亡率的恶性肿瘤之一，早期诊断率低是预后不佳的主要原因。本文系统综述了循环肿瘤DNA（ctDNA）、微小RNA（miRNA）及多蛋白联合标志物在胃癌早期筛查中的研究进展，并重点探讨了机器学习算法在生物标志物筛选、内镜图像智能分析及病理影像自动分类中的应用价值。研究表明，ctDNA甲基化检测与miRNA联合面板可显著提升早期诊断效能；基于深度学习的内镜辅助系统在微小病灶识别方面已达专家级水平。未来应推动多中心研究与标准化体系建设，以期实现胃癌精准早筛与个性化干预。
Keywords
胃癌；早期诊断；精准医学；生物标志物；人工智能
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[22] Chen H, Zhang Z, Ma Y, et al. Natural language processing in EHR for early gastric cancer risk assessment: A machine learning approach[J]. J Am Med Inform Assoc, 2022, 29(4): 573-582.
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