人工智能与多组学时代基于生物网络的肿瘤精准防治

Network-based cancer precision prevention with artificial intelligence and multi-omics

Cancer is recognized as a leading cause of deaths nowadays,accounting for 10 million annual deaths worldwide and resulting in heavy health and economic burdens[1].Reducing cancer incidence through precision prevention is thus of great scientific and clinical value.Gastric cancer(GC)is one of the most common cancers in China.Pathologically,the onset of GC,especially the intestinal-type ones,would usually suffer a series of premalignant lesions,including atrophic gastritis,intestinal metaplasia,and low-grade dysplasia(LGD),which is known as the process of gastritis-induced tumorigenesis(GIGT)[2].Epidemiological studies have shown that GIGT has exhibited the characteristics of longterm and low-probability,that is,only a small number of gastritis patients would develop into GC after a long period.Therefore,it has become the key challenge for GC precision prevention that how to uncover the biological mechanism underlying GIGT,followed by accurately identifying the critical time point at which effective diagnosis and treatment strategies could be developed to prevent GC.Of note,this is also a common challenge for the precision prevention of other cancer types,such as liver and colon cancers.