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Identification of Potential Key Genes for Colorectal Cancer Based on Bioinformatics Analysis by Chongyang Li; Shengqin Cao; Mingxiao Guo; Aihong Guo; Xuedi Sun is a Medicine article available to read on EtoBox.

What is Identification of Potential Key Genes for Colorectal Cancer Based on Bioinformatics Analysis about?

This study aimed to explore key genes as potential biomarkers for colorectal cancer (CRC) diagnosis and prognosis in order to improve their clinical utility. To identify and screen candidate genes involved in CRC carcinogenesis and disease progression, we downloaded the microarray datasets GSE143939, GSE196006, and GSE200427 from the GEO database and applied the GEO2R tool to obtain differentially expressed genes (DEGs) between colorectal cancer tissue samples and normal tissue samples. Differentially expressed genes were analyzed using the DAVID online database for gene ontology and Kyoto encyclopedia of genes and genomes pathway enrichment analyses. Protein-protein interaction network was constructed and related module analysis was performed using STRING and Cytoscape. In total, 241 DEGs were identified, including 127 downregulated and 114 upregulated genes. DEGs enriched functions and pathways included cellular response to chemical stimulus, extracellular region, carbonate dehydratase activity, cell division, spindle, and cell division. The abundant functions and pathways of DEGs included cellular response to chemical stimulus, extracellular region, carbonate dehydratase activit

Who reads Identification of Potential Key Genes for Colorectal Cancer Based on Bioinformatics Analysis?

Author

Chongyang Li; Shengqin Cao; Mingxiao Guo; Aihong Guo; Xuedi Sun

Publisher

Lippincott Williams & Wilkins

Published

2023

Language

EN

Field

Medicine (Health Sciences)