MMP7 as a potential biomarker of colon cancer and its prognostic value by bioinformatics analysis

Li Chen, Xueying Ke, Mahesh Kathania

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Colon cancer is one of the most common cancers in the world. To identify the candidate genes in the carcinogenesis and progression of colon cancer, the microarray datasets GSE10950, GSE44861 and GSE74602 were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and functional enrichment analyses were performed. A total of 176 DEGs were identified, consisting of 55 genes upregulated and 121 genes downregulated in colon cancer tissues compared to non-cancerous tissues. The DEGs were mainly enriched in mineral absorption, nitrogen metabolism and complement and coagulation cascades. By using STRING database analysis, we constructed a coexpression network composed of 140 nodes and 280 edges for the DEGs with a combined score >0.4 and a significant interaction relation. Thirteen hub genes were identified, and poor OS of patients was only associated with high expression of Matrix Metallopeptidase 7 (MMP7), which may be involved in the carcinogenesis, invasion or recurrence of colon cancer. In conclusion, we propose that the DEGs and hub genes identified in the present study may be regarded as diagnostic biomarkers for colon cancer. Moreover, the overexpression of MMP7 may correlate with poor prognosis.

Original languageEnglish (US)
Pages (from-to)E24953
JournalMedicine (United States)
Volume100
Issue number9
DOIs
StatePublished - Mar 5 2021
Externally publishedYes

Keywords

  • colon cancer
  • differentially expressed genes
  • function and pathway analysis
  • interaction network

ASJC Scopus subject areas

  • General Medicine

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