Transcriptomics-Based Systems Biology Analysis Suggests New Potential Biomarkers for Colorectal Cancer

Colorectal cancer (CRC) is the second most common cancer worldwide which is associatedwith significant morbidity and mortality. while, colonoscopy is the most accurate screening test fordetecting CRC, it is somewhat invasive, inconvenient, and expensive [۱]. The incidence rate of sporadicearly-onset colon cancer (EOCC) has been surprisingly increasing worldwide, and its molecularmechanisms occurrence and development remain unclear [۲]. The global burden of CRC and the annualincrease in young patients highlight an essential understanding of the underlying mechanisms to identifynovel diagnostic and prognostic biomarkers or therapeutic targets [۳]. System biology is a biologybasedcomputing science that focuses on the complex interactions in biological systems. In this regard,transcriptomic data analysis is a powerful approach to linking genotype to phenotype of a cell.Furthermore, it provides valuable insights to identify gene expression patterns in cancer cells [۴]. Tounderstand the expression relationships between genes to find a therapeutic target, the bulk RNA-seqdataset (GSE۲۴۰۶۲۳) was obtained from NCBI Gene Expression Omnibus (GEO). Then, ۱۳ EOCCsamples and ۱۳ healthy control samples were analyzed by GEO۲R to identify differential expressiongenes (DEGs). Next, the most significant genes were selected for further analysis. In the next step, theSTRING database was used to construct significant protein-protein interactions by DEGs gene list.ESCO۲ was suggested as a new target for treating CRC. Further expression analysis was validated byGEPIA and analysis of possible mRNA-miRNA interactions was performed by miRWalk. The targetgene analyses showed that hsa-miR-۱۴۵-۵p specifically targets the ESCO۲ gene. In conclusion, theseresults showed that ESCO۲ and hsa-miR-۱۴۵-۵p could be suggested as potential biomarkers associatedwith colorectal cancer.

کلیدواژه ها:

Transcriptomic ، Colorectal cancer ، DEG