Identification of biomarkers related to Tumor-Infiltrating Lymphocytes (TILs) infiltration with gene co-expression network in colorectal cancer.
Rong LiaoQi-Zhi MaCong-Ya ZhouJun-Jun LiNing-Na WengYang YangQing ZhuPublished in: Bioengineered (2021)
Colorectal cancer (CRC) is one of the most common tumors, ranking second in the global cause of death from cancer. The prognosis of advanced patients is still very poor. In this study, hub modules with the highest association with tumor-infiltrating immune cells were identified by weighted gene co-expression network analysis based on CRC expression data from the Gene Expression Omnibus database. Next, three hub genes (ADAM8, IL-1A, VAV3) related to infiltrating immune cells were identified by co-expression network and prognostic analysis. After analysis and verification of the TIMER database, ADAM8 was selected as a prognostic biomarker. Finally, the result of functional test showed that ADAM8 gene expression down-regulation partially reversed the immune tolerance of CRC cells to TILs. By bioinformatics analysis methods and the experimental techniques, we identified ADAM8 as a prognostic biomarker and clinical therapeutic target related to tumor-infiltrating immune cells in CRC.
Keyphrases
- bioinformatics analysis
- network analysis
- gene expression
- poor prognosis
- dna methylation
- genome wide
- binding protein
- end stage renal disease
- long non coding rna
- induced apoptosis
- ejection fraction
- genome wide identification
- electronic health record
- magnetic resonance imaging
- patient reported outcomes
- young adults
- cell cycle arrest
- peripheral blood
- oxidative stress
- deep learning
- data analysis