BGN (biglycan) as a Potential Prognostic Biomarker in Colon Adenocarcinoma (COAD): The Cancer Genome Atlas Transcriptomic Analysis

Colorectal Cancer (CRC) is the second lethal cancer worldwide. Most of the CRCs start with polyps and some types of polyps can turn into cancer. Colon Adenocarcinoma (COAD) is the most frequent type of CRC and the high mortality of this disease led us to identify a practical and potential factor for early diagnosis in order to prevent from the death of those patients suffering from this disease. Methods: Initially, the TCGA-COAD dataset was downloaded from The Cancer Genome Atlas (TCGA) database using TCGAbiolinks package. Acquired dataset was normalized through limma and edgeR (TMM method) packages. the criteria of |log۲FC|>۲ and P.value< ۰.۰۵ were defined and genes meeting the criteria were selected as Deferentially Expressed Genes (DEGs). Furthermore, DEGs were utilized to carry out Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis in Enrichr framework. Protein-Protein Interaction (PPI) network was designed using STRING website and visualized with the CytoHubba plug-in in Cytoscape software and as a result, top-scoring genes were recognized and eventually validated in the light of survival analysis utilizing the Gene Expression Profiling Interactive Analysis (GEPIA) website. Results: A total number of ۷۵۰ DEGs including ۱۵۵ up-regulated and ۵۹۵ down-regulated genes were obtained. GO analysis suggested significant enrichment of Collagen-Containing Extracellular Matrix (GO:۰۰۶۲۰۲۳), Myelination (GO:۰۰۴۲۵۵۲) and Serine-type Endopeptidase Activity (GO:۰۰۰۴۲۵۲) in Cellular Component, Biological Process and Molecular Function, respectively. The results of the KEGG pathway enrichment analysis showed that target genes were mainly enriched in Bile secretion. Based on Maximal Clique Centrality (MCC) algorithm in Cytoscape’s CytuHubba plug-in, COL۱A۱, COL۱۱A۱, BGN, DCN, SPP۱, MMP۱, MMP۳, BMP۲, COMP and ACAN were identified as our hub genes. In addition, through the survival analysis, overexpression of biglycan (BGN) was significantly correlated with poor prognosis of this lethal disease. Conclusion: In conclusion, our bioinformatics analysis revealed that among the ۱۰ hub genes we identified, up-regulation of BGN was strongly associated with Colon Adenocarcinoma progression and poor patient prognosis.

کلیدواژه ها:

Colorectal Cancer ، Survival Analysis ، Colon ، TCGA ، Biomarker