The Development of Three-DNA Methylation Signature as a Novel Prognostic Biomarker in Patients with Colorectal Cancer

Aims. The prognosis of colorectal cancer (CRC) remains poor. This study aimed to develop and validate DNA methylation-based signature model to predict overall survival of CRC patients. Methods. The methylation array data of CRC patients were retrieved from The Cancer Genome Atlas (TCGA) database. Th...

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Bibliographic Details
Published in:BioMed research international 2020, Vol.2020 (2020), p.1-11
Main Authors: Jian, Shaofen, Liu, Tiankai, Ye, Weijian, Gong, Shu, Liu, Wenhua
Format: Article
Language:English
Subjects:
Age groups
Biomarkers
Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
Cancer
Care and treatment
Cohort Studies
Colorectal cancer
Colorectal carcinoma
Colorectal Neoplasms - genetics
Databases, Genetic
Datasets
Deoxyribonucleic acid
Diagnosis
DNA
DNA methylation
DNA Methylation - genetics
Female
Gender
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Genetic aspects
Genomes
Health aspects
Humans
Kaplan-Meier Estimate
Male
Medical prognosis
Methylation
Patients
Prognosis
Regression analysis
Reproducibility of Results
Risk Factors
ROC Curve
Statistical analysis
Subgroups
Survival
Survival analysis
Training
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Summary:Aims. The prognosis of colorectal cancer (CRC) remains poor. This study aimed to develop and validate DNA methylation-based signature model to predict overall survival of CRC patients. Methods. The methylation array data of CRC patients were retrieved from The Cancer Genome Atlas (TCGA) database. These patients were divided into training and validation datasets. A risk score model was established based on Kaplan-Meier and multivariate Cox regression analysis of training cohort and tested in validation cohort. Results. Among total 14,626 DNA methylation candidate markers, we found that a three-DNA methylation signature (NR1H2, SCRIB, and UACA) was significantly associated with overall survival of CRC patients. Subgroup analysis indicated that this signature could predict overall survival of CRC patients regardless of age and gender. Conclusions. We established a prognostic model consisted of 3-DNA methylation sites, which could be used as potential biomarker to evaluate the prognosis of CRC patients.
ISSN:2314-6133
2314-6141
DOI:10.1155/2020/3497810