Abstract
e15088 Background: MicroRNAs (miRNAs) have been related to prognostic indicators (such as stage and survival) in colorectal cancer. This study aimed to identify differentially expressed miRNAs and their target genes associated with biological significance and prognosis in colorectal cancer. Methods: The colorectal cancer, colorectal adenoma, and normal samples were obtained from the gene expression profile of GSE71187. A union of differentially expressed genes (DEGs) in the three groups was identified. The significantly different modules with highly interconnected DEGs were identified using weighted correlation network analysis (WGCNA) and were enriched to the KEGG pathway and GO function. Subsequently, the protein-protein interaction (PPI) network for DEGs in the module and the integrated regulatory network of miRNA-DEGs were constructed. In addition, the relationship of target DEGs and prognostic information was analyzed. Results: Three significantly different modules were identified, such as the brown, turquoise, and grey modules. The turquoise module including LTC4S, KLRK1, UNC5C, etc., which was mainly enriched to cell adhesion, cytokine−cytokine receptor interaction, and chemokine signaling pathway, inhibited the development of colorectal cancer. Subsequently, PPI network was constructed with the 678 DEGs in the three modules. Moreover, the miRNA-DEGs network was constructed with the 17 target DEGs (CXCR1, LTC4S, BTK, IGF1, etc.) and 14 miRNA (hsa-miR-335-5p, etc.). Finally, the overexpressed LTC4S was a good prognostic biomarker for colorectal cancer. Conclusions: The hsa-miR-335-5p might have potential prognosis value by targeting LTC4S and CXCR1 in colorectal cancer.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.