南方医科大学学报

南方医科大学学报 ›› 2026, Vol. 46 ›› Issue (9): 2276-2284.doi: 10.12122/j.issn.1673-4254.2026.09.25

• • 上一篇    

从临床数据整合视角解析胃癌的发病机制与异质性

黄亚芳1,2(), 杨思邈1,2, 丁霞3, 褚福浩4, 陈润花2()   

  1. 1.北京中医药大学，北京 100029
    2.北京中医药大学东方医院消化科，北京 100078
    3.北京中医药大学中医学院，北京 100029
    4.北京中医药大学中药学院，北京 102488
  • 收稿日期:2025-12-03 出版日期:2026-09-20 发布日期:2026-09-30
  • 通讯作者: 陈润花 E-mail:wind_1016@qq.com;excellentcrh@126.com
  • 作者简介:黄亚芳，在读博士研究生，E-mail: wind_1016@qq.com
  • 基金资助:
    2025年国家“四大慢病重大专项”(2025ZD0545100);2025年国家“四大慢病重大专项”(2025ZD0545102);北京中医药大学揭榜挂帅项目基金(2023-JYB-JBQN-015);中央高水 平中医医院临床科研业务费资助(2025XZYJ12)

Insights into the occurrence and heterogeneity of gastric cancer from the perspective of clinical data integration

Yafang HUANG1,2(), Simiao YANG1,2, Xia DING3, Fuhao CHU4, Runhua CHEN2()   

  1. 1.Beijing University of Chinese Medicine, Beijing 100029, China
    2.Department of Gastroenterology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China
    3.School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
    4.School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China
  • Received:2025-12-03 Online:2026-09-20 Published:2026-09-30
  • Contact: Runhua CHEN E-mail:wind_1016@qq.com;excellentcrh@126.com

RichHTML

2

PDF

15

摘要：

本研究基于临床数据整合视角，系统梳理了近年来基于多组学技术与临床数据整合的胃癌研究进展。针对胃癌发病率高、死亡率高及异质性显著的特点，通过整合基因组、转录组、蛋白质组等多组学信息与临床资料，系统解析了胃癌的分子分型体系及其驱动基因，并深入探讨了肿瘤微环境中癌细胞与基质细胞等的作用机制。在此基础上，进一步归纳了不同亚型胃癌的临床与分子关联规律，构建了临床数据、多组学网络与肿瘤微环境相结合的全景研究框架，实现从癌前病变到肿瘤进展的全程机制关联。该框架为胃癌的早期预防、筛查及精准诊疗提供了系统的理论支持与转化路径，有助于推动胃癌诊疗向精准化方向发展。

关键词: 胃癌, 异质性, 基因组技术, 蛋白组, 转录组

Abstract:

From the perspective of clinical data integration, the authors systematically review recent advances in gastric cancer researches that integrate multi-omics technologies with clinical data. Gastric cancer is characterized by high incidence, high mortality, and significant heterogeneity, and this review analyzes the molecular classification system of gastric cancer and its driver genes by integrating multi-omics information-including genomics, transcriptomics, and proteomics-with clinical data, and further explores the mechanisms of interaction between cancer cells and stromal cells in the tumor microenvironment. On this basis, this review summarizes the clinical and molecular correlation patterns of different gastric cancer subtypes and constructs a comprehensive research framework that integrates clinical data, multi-omics networks, and the tumor microenvironment, thereby linking the mechanisms that drive the entire course of cancer progression from precancerous lesions to tumor advancement. This framework provides systematic theoretical support and a translational pathway for early prevention, screening, and precision diagnosis and treatment of gastric cancer, and contributes to the advancement of precision medicine in gastric cancer management.

Key words: gastric cancer, heterogeneity, genomic technology, proteome, transcriptome