北京大学学报（医学版）2025，Vol.57Issue(5)：864-867,4.DOI:10.19723/j.issn.1671-167X.2025.05.009
胃癌精准诊疗技术的创建与推广
Development and dissemination of precision medicine approaches in gastric cancer management
摘要
Abstract
Gastric cancer is a high-incidence malignancy that poses a serious threat to public health in China,ranking among the top three cancers in both incidence and mortality.The majority of patients are diagnosed at an advanced stage,resulting in limited treatment options and poor prognosis.To address key challenges in gastric cancer diagnosis and treatment,a research team led by Professor Jiafu Ji at Peking University Cancer Hospital has focused on the project"Development and Dissemination of Precision Medi-cine Approaches in Gastric Cancer Management".Through a series of high-quality multicenter clinical studies,the team established a set of new international standards in perioperative treatment,individua-lized drug selection,intelligent noninvasive diagnostics,and novel immunotherapy strategies.These ad-vances have significantly improved treatment efficacy and reduced surgical trauma,achieving key techno-logical breakthroughs in diagnosis,therapy,and mechanistic understanding,and systematically enhan-cing outcomes for gastric cancer patients.The project's findings had a broad international impact,inclu-ding hosting China's first International Gastric Cancer Congress.Through nationwide dissemination,they have promoted the development of precision diagnosis and treatment of gastric cancer as a discipline,and led the formulation of the National Health Commission's guidelines for gastric cancer diagnosis and treat-ment.In recognition of its achievements,the project was awarded the First Prize of the 2024 Chinese Medical Science and Technology Award.关键词
胃癌/新辅助化疗/腹腔镜手术/人工智能/免疫疗法Key words
Gastric cancer/Neoadjuvant chemotherapy/Laparoscopic surgery/Artificial intelligence/Immunotherapy分类
医药卫生引用本文复制引用
李浙民,贾淑芹,郭婷,张连海,陕飞,季鑫,王安强,季加孚,李国新,李子禹,步召德,高翔宇,董迪,唐磊,邢晓芳..胃癌精准诊疗技术的创建与推广[J].北京大学学报（医学版）,2025,57(5):864-867,4.基金项目
国家自然科学基金(92259302、31870805、U20A20371)、北京市医院管理中心人才计划(DFL20181103、SML20151001)、北京市科技计划课题(D171100006517000、D171100006517004)Supported by the National Natural Science Foundation(92259302,31870805,U20A20371),the Beijing Hospitals Authority Talent Plan(DFL20181103,SML20151001),and the Beijing Municipal Science and Technology Plan Projects(D171100006517000,D171100006517004) （92259302、31870805、U20A20371）
