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05 July 2018 : Laboratory Research  

Identification of Critical Genes and Five Prognostic Biomarkers Associated with Colorectal Cancer

Zuoliang Huang1BCDEF, Qin Yang1BF, Zezhi Huang1AEG*

DOI: 10.12659/MSM.907224

Med Sci Monit 2018; 24: LBR4625-4633

Abstract

BACKGROUND: Colorectal cancer (CRC) is a common malignant tumor with high incidence and mortality worldwide. The aim of this study was to evaluate the association between differentially expressed genes (DEGs), which may function as biomarkers for CRC prognosis and therapies, and the clinical outcome in patients with CRC.

MATERIAL AND METHODS: A total of 116 normal mucous tissue and 930 CRC tissue datasets were downloaded from the Gene Expression Omnibus database (GEO) and The Cancer Genome Atlas (TCGA). After screening DEGs based on limma package in R. Gene Ontology (GO) and KEGG enrichment analysis as well as the protein-protein interaction (PPI) networks were performed to predict the function of these DEGs. Meanwhile, Cox proportional hazards regression was used to build a prognostic model of these DEGs. Then, Kaplan-Meier risk analysis was used to test the model in TCGA datasets and validation datasets.

RESULTS: In the present study, 300 DEGs with 100 upregulated genes and 200 downregulated genes were identified. The PPI networks including 162 DEGs and 256 nodes were constructed and 2 modules with high degree were selected. Moreover, 5 genes (MMP1, ACSL6, SMPD1, PPARGC1A, and HEPACAM2) were identified using the Cox proportional hazards stepwise regression. Kaplan-Meier risk curve in the TCGA and validation cohorts showed that high-risk group had significantly poor overall survival than the low-risk group.

CONCLUSIONS: Our study provided insights into the mechanisms of CRC formation and found 5 prognostic genes, which could potentially inform further studies and clinical therapies.

Keywords: Biological Markers, Colorectal Neoplasms, Databases, Genetic, Protein Interaction Maps, Survival Analysis

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Editorial

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Dinah V. Parums
Scientific Editor, Medical Science Monitor, International Scientific Information, Inc., Melville, NY, USA

DOI: 10.12659/MSM.935299

Med Sci Monit 2022; 28:e935299

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750