PT  - JOURNAL ARTICLE
AU  - Qian Zhang
AU  - Mingran Yang
AU  - Peng Zhang
AU  - Bowen Wu
AU  - Xiaosen Wei
AU  - Shao Li
TI  - Deciphering gastric inflammation-induced tumorigenesis through multi-omics data and AI methods
AID  - 10.20892/j.issn.2095-3941.2023.0129
DP  - 2023 Aug 17
TA  - Cancer Biology & Medicine
PG  - 20230129
4099  - http://www.cancerbiomed.org/content/early/2023/08/16/j.issn.2095-3941.2023.0129.short
4100  - http://www.cancerbiomed.org/content/early/2023/08/16/j.issn.2095-3941.2023.0129.full
AB  - Gastric cancer (GC), the fifth most common cancer globally, remains the leading cause of cancer deaths worldwide. Inflammation-induced tumorigenesis is the predominant process in GC development; therefore, systematic research in this area should improve understanding of the biological mechanisms that initiate GC development and promote cancer hallmarks. Here, we summarize biological knowledge regarding gastric inflammation-induced tumorigenesis, and characterize the multi-omics data and systems biology methods for investigating GC development. Of note, we highlight pioneering studies in multi-omics data and state-of-the-art network-based algorithms used for dissecting the features of gastric inflammation-induced tumorigenesis, and we propose translational applications in early GC warning biomarkers and precise treatment strategies. This review offers integrative insights for GC research, with the goal of paving the way to novel paradigms for GC precision oncology and prevention.