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

Autor: Zongyou Chen, Yi Yang, Yiwen Zang, Yiming Zhou, Jianbin Xiang
Rok vydání: 2019
Předmět:
Adult
Male
0301 basic medicine
Oncology
Cancer Research
medicine.medical_specialty
Candidate gene
Colorectal cancer
lcsh:RC254-282
Metastasis
Pathogenesis
03 medical and health sciences
0302 clinical medicine
Internal medicine
Protein Interaction Mapping
Gene expression
Biomarkers
Tumor
Humans
metastasis
Medicine
Radiology
Nuclear Medicine and imaging
Protein Interaction Maps
KEGG
Survival analysis
Original Research
Cancer Biology
Aged
Neoplasm Staging
Proportional Hazards Models
business.industry
Gene Expression Profiling
Computational Biology
REG1B
Middle Aged
TCGA
Prognosis
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
medicine.disease
bioinformatic analysis
Gene Expression Regulation
Neoplastic
030104 developmental biology
ROC Curve
colon cancer
030220 oncology & carcinogenesis
Colonic Neoplasms
Female
Transcriptome
business
Zdroj: Cancer Medicine, Vol 8, Iss 5, Pp 2338-2347 (2019)
Cancer Medicine
ISSN: 2045-7634
DOI: 10.1002/cam4.2071
Popis: 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.
Databáze: OpenAIRE
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