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Medical Oncology

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01.01.2021 | Original Paper

Integration of gene expression data identifies key genes and pathways in colorectal cancer

verfasst von: Hossein Hozhabri, Ali Lashkari, Seyed-Morteza Razavi, Ali Mohammadian

Erschienen in: Medical Oncology | Ausgabe 1/2021

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Abstract

Colorectal cancer (CRC) is one of the most common malignant tumor and prevalent cause of cancer-related death worldwide. In this study, we analyzed the gene expression profiles of patients with CRC with the aim of better understanding the molecular mechanism and key genes in CRC. Four gene expression profiles including, GSE9348, GSE41328, GSE41657, and GSE113513 were downloaded from GEO database. The data were processed using R programming language, in which 319 common differentially expressed genes including 94 up-regulated and 225 down-regulated were identified. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were conducted to find the most significant enriched pathways in CRC. Based on the GO and KEGG pathway analysis, the most important dysregulated pathways were regulation of cell proliferation, biocarbonate transport, Wnt, and IL-17 signaling pathways, and nitrogen metabolism. The protein–protein interaction (PPI) network of the DEGs was constructed using Cytoscape software and hub genes including MYC, CXCL1, CD44, MMP1, and CXCL12 were identified as the most critical hub genes. The present study enhances our understanding of the molecular mechanisms of the CRC, which might potentially be applied in the treatment strategies of CRC as molecular targets and diagnostic biomarkers.

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Titel: Integration of gene expression data identifies key genes and pathways in colorectal cancer
verfasst von: Hossein Hozhabri
Ali Lashkari
Seyed-Morteza Razavi
Ali Mohammadian
Publikationsdatum: 01.01.2021
Verlag: Springer US
Erschienen in: Medical Oncology / Ausgabe 1/2021
Print ISSN: 1357-0560
Elektronische ISSN: 1559-131X
DOI: https://doi.org/10.1007/s12032-020-01448-9

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