Identification and verification of key cancer genes associated with prognosis of colorectal cancer based on bioinformatics analysis / 中南大学学报(医学版)
Journal of Central South University(Medical Sciences)
;
(12): 1063-1070, 2021.
Article
in English
| WPRIM
| ID: wpr-922585
ABSTRACT
OBJECTIVES@#The biomarkers targeting colorectal cancer (CRC) prognosis are short of high accuracy and sensitivity in clinic. Through bioinformatics analysis, we aim to identify and confirm a series of key genes referred to the diagnosis and prognosis of CRC.@*METHODS@#GSE31905, GSE35279, and GSE41657 were selected as complete RNA sequencing data sets of CRC and colorectal mucosa (CRM) tissues from the NCBI-GEO database, and the differentially expressed genes (DEGs) were analyzed. The common DEGs in these 3 data sets were obtained by Venn map, and enriched by STRING network system and Cytoscape software. The Kaplan-Meier plotter website was used to verify the correlation between the enriched genes and the prognosis of CRC.@*RESULTS@#For the whole RNA sequencing data sets of CRC and normal intestinal mucosa samples, the DEGs of CRC and CRM in the 3 data sets (|log@*CONCLUSIONS@#The above 11 genes verified by bioinformatics retrieval and analysis can predict the poor prognosis of CRC to a certain extent, and they provide a possible target for the diagnosis and treatment of CRC.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Oncogenes
/
Prognosis
/
Glycoproteins
/
Colorectal Neoplasms
/
Biomarkers, Tumor
/
Gene Expression Regulation, Neoplastic
/
Computational Biology
/
Gene Expression Profiling
/
Intercellular Signaling Peptides and Proteins
/
Protein Interaction Maps
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Journal of Central South University(Medical Sciences)
Year:
2021
Type:
Article
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