RT Journal Article
SR Electronic
T1 Deciphering gastric inflammation-induced tumorigenesis through multi-omics data and AI methods
JF Cancer Biology & Medicine
JO Cancer Biology & Medicine
FD China Anti-Cancer Association
SP 20230129
DO 10.20892/j.issn.2095-3941.2023.0129
A1 Qian Zhang
A1 Mingran Yang
A1 Peng Zhang
A1 Bowen Wu
A1 Xiaosen Wei
A1 Shao Li
YR 2023
UL http://www.cancerbiomed.org/content/early/2023/08/16/j.issn.2095-3941.2023.0129.abstract
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.