Journal
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
Volume 8, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fbioe.2020.00805
Keywords
gene signature; gastric cancer; overall survival; prognostic biomarker; TCGA; GEO
Funding
- National Natural Science Foundation of China [81801569]
- Program for Innovative Talents of Science and Technology in Henan Province [18HASTIT048]
- China Postdoctoral Science Foundation [2017M62237]
- Henan Postdoctoral Foundation [001702052]
- Program for Science and Technology Development in Henan Province [162102310391, 172102210187, 202102310205]
- Program for Scientific and Technological Research of Henan Education Department [14B520022]
- Kaifeng Science and Technology Major Project [18ZD008]
- Bioinformatics Center of Henan University [2018YLJC01]
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Gastric cancer (GC) is the second leading cause of cancer mortality and remains the fourth common cancer worldwide. The effective and feasible methods for predicting the possible outcomes for GC patients are still lacking. While genetic profiling might be suitable in some way, the application of gene expression signatures has been show to be a robust tool. Here, by performing a comprehensive search in PubMed, we provided an up-to-date summary of 39 prognostic gene signatures for GC patients, and described the processing procedure of the selection, calculation and construction of gene signature. We also reviewed current web tools including PROGgene and SurvExpress that can be used to analyze the prognostic value of multiple genes for GC. This review will aid in comprehensive understanding of the current prognostic gene signatures to accurately predict the outcome of GC patients, and may guide the future clinical management when the reliability of these signatures is validated in clinics.
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