Candidate genes involved in metastasis of colon cancer identified by integrated analysis

Colon cancer is one of the most malignant cancers worldwide. Nearly 20% of all colon cancer patients are diagnosed at stage IV (metastasis). However, further study of colon cancer is difficult due to a lack of understanding of its pathogenesis. In this study, we acquired high–throughput sequence dat...

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Bibliographic Details
Published in:Cancer medicine (Malden, MA) MA), 2019-05, Vol.8 (5), p.2338-2347
Main Authors: Zhou, Yiming, Zang, Yiwen, Yang, Yi, Xiang, Jianbin, Chen, Zongyou
Format: Article
Language:English
Subjects:
Adult
Aged
Apoptosis
bioinformatic analysis
Biomarkers, Tumor
Cancer Biology
Cancer therapies
Cell division
Colon cancer
Colonic Neoplasms - genetics
Colonic Neoplasms - metabolism
Colonic Neoplasms - mortality
Colonic Neoplasms - pathology
Colorectal cancer
Computational Biology - methods
Female
Gene expression
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Male
Medical diagnosis
Medical prognosis
Melanoma
Metastases
Metastasis
Middle Aged
Neoplasm Staging
Ontology
Original Research
Prognosis
Proportional Hazards Models
Protein Interaction Mapping
Protein Interaction Maps
Proteins
RNA polymerase
ROC Curve
Software
Survival analysis
TCGA
Transcription factors
Transcriptome
Tumors
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Summary:Colon cancer is one of the most malignant cancers worldwide. Nearly 20% of all colon cancer patients are diagnosed at stage IV (metastasis). However, further study of colon cancer is difficult due to a lack of understanding of its pathogenesis. In this study, we acquired high–throughput sequence data from TCGA datasets and performed integrated bioinformatic analysis including differential gene expression analysis, gene ontology and KEGG pathways analysis, protein–protein analysis, survival analysis, and multivariate Cox proportional hazards regression analysis in order to identify a panel of key candidate genes involved in the metastasis of colon cancer. We then constructed a prognostic signature based on the expression of REG1B, TGM6, NTF4, PNMA5, and HOXC13 which could provide significant prognostic value for colon cancer. In this study, we constructed a prognostic signature based on the expression of REG1B, TGM6, NTF4, PNMA5, and HOXC13 which could provide significant prognostic value for colon cancer.
ISSN:2045-7634
2045-7634
DOI:10.1002/cam4.2071