Systems Biology of Gastric Cancer: Perspectives on the Omics-Based Diagnosis and Treatment
Review article, 2020

Gastric cancer is the fifth most diagnosed cancer in the world, affecting more than a million people and causing nearly 783,000 deaths each year. The prognosis of advanced gastric cancer remains extremely poor despite the use of surgery and adjuvant therapy. Therefore, understanding the mechanism of gastric cancer development, and the discovery of novel diagnostic biomarkers and therapeutics are major goals in gastric cancer research. Here, we review recent progress in application of omics technologies in gastric cancer research, with special focus on the utilization of systems biology approaches to integrate multi-omics data. In addition, the association between gastrointestinal microbiota and gastric cancer are discussed, which may offer insights in exploring the novel microbiota-targeted therapeutics. Finally, the application of data-driven systems biology and machine learning approaches could provide a predictive understanding of gastric cancer, and pave the way to the development of novel biomarkers and rational design of cancer therapeutics.

data integration

personalized medicine

gastric cancer

systems biology



Xiao Jing Shi

Zhengzhou University

Yongjun Wei

Zhengzhou University

Boyang Ji

Technical University of Denmark (DTU)

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Frontiers in Molecular Biosciences

2296889X (eISSN)

Vol. 7 203

Subject Categories

Urology and Nephrology

Bioinformatics and Systems Biology

Cancer and Oncology



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