Zhang Qian, Yang Mingran, Zhang Peng, Wu Bowen, Wei Xiaosen, Li Shao
Institute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China.
Cancer Biol Med. 2023 Aug 17;21(4):312-30. doi: 10.20892/j.issn.2095-3941.2023.0129.
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.
胃癌(GC)是全球第五大常见癌症,仍是全球癌症死亡的主要原因。炎症诱导的肿瘤发生是GC发展的主要过程;因此,该领域的系统研究应有助于增进对启动GC发展和促进癌症特征的生物学机制的理解。在这里,我们总结了关于胃炎症诱导肿瘤发生的生物学知识,并描述了用于研究GC发展的多组学数据和系统生物学方法。值得注意的是,我们重点介绍了多组学数据方面的开创性研究以及用于剖析胃炎症诱导肿瘤发生特征的基于网络的最新算法,并提出了在早期GC预警生物标志物和精确治疗策略方面的转化应用。本综述为GC研究提供了综合见解,旨在为GC精准肿瘤学和预防的新范式铺平道路。