مقالات پذیرفته شده در هفتمین کنگره بین المللی زیست پزشکی
Identification of diagnostic biomarkers via Weighted Correlation Network Analysis in colorectal cancer using a system biology approach
Identification of diagnostic biomarkers via Weighted Correlation Network Analysis in colorectal cancer using a system biology approach
Arash Safarzadeh,1,*
1. Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences
Introduction: Colorectal cancer (CRC) is the third most frequent cancer to be diagnosed in both females and males necessitating identification of effective biomarkers. An in-silico system biology approach called weighted gene co-expression network analysis (WGCNA) can be used to examine gene expression in a complicated network of regulatory genes.
Methods: In the current study, the co-expression network of DEGs connected to CRC and their target genes was built using the WGCNA algorithm. GO and KEGG pathway analysis were carried out to learn more about the biological role of the DEmRNAs.
Results: These findings revealed that the genes were mostly enriched in the biological processes that were involved in the regulation of hormone levels, extracellular matrix organization, and extracellular structure organization. The intersection of genes between hub genes and DEmRNAs showed that DKC1, PA2G4, LYAR and NOLC1 were the clinically final hub genes of CRC.
Conclusion: To sum up, the bioinformatics strategy used in the current study revealed important roles of DKC1, PA2G4, NOLC1, LYAR, and E2F1 in the CRC carcinogenesis and potentiates these genes as biomarkers for detection of CRC and therapeutic targets for this cancer.