Abstract
Objective
MSI has a better prognosis than MSS in colorectal cancer patients, and the main objective of this study was to screen MSI/MSS primary colorectal cancer differentially expressed molecules by bioinformatics.
Material and methods
Two gene expression datasets (GSE13294 and GSE13067) were downloaded from GEO, and differential expressed genes (DEGs) were analyzed using GEO2R. Gene Ontology and Kyoto Encyclopedia of Genomes and Gene Set Enrichment Analysis were achieved using the differentially expressed genes. Furthermore, a Protein-Protein Interaction Networks (PPI) was constructed to screen for significant modules and identify hub genes. The hub genes were analyzed using GEPIA in colorectal cancer. Expression of hub genes in clinical samples was visualized by the online Human Protein Atlas (HPA).
Results
A total of 266 common DEGs were identified in MSS primary colorectal cancer compared with MSI primary colorectal cancer. Among these, 178 DEGs were upregulated and 87 DEGs were downregulated. Enrichment analysis showed that set enrichment was associated with response to response to mechanical stimulus, regulation of cellular response to stress, g protein coupled receptor binding, and other processes. A total of 5 hub genes was identified by cytoHubba: HNRNPL, RBM39, HNRNPH1, TRA2A, SRSF6. GEPIA software online analysis, 5 hub gene expression in colorectal cancer survival curve did not have significant differences. The expression of RBM39 was significantly different in different stages of colorectal cancer. Then, HPA online database of results show that the five hub protein expression varied widely in CRC patients.
Conclusion
The hub genes, such as HNRNPH1and RBM39, and the spliceosome resulting from DEGs, which may provide novel insights and evidence for the future diagnosis and targeted therapy of MSS/MSI PCRC.