Systems Biology of Gastric Cancer: Perspectives on the Omics-Based Diagnosis and Treatment

Xiao Jing Shi, Yongjun Wei*, Boyang Ji

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

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.
Original languageEnglish
Article number203
JournalFrontiers in Molecular Biosciences
Volume7
Number of pages8
ISSN2296-889X
DOIs
Publication statusPublished - 2020

Keywords

  • Gastric cancer
  • Omics
  • Systems biology
  • Data integration
  • Personalized medicine

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