MethSurv: a web tool to perform multivariable survival analysis using DNA methylation data

To develop a web tool for survival analysis based on CpG methylation patterns. We utilized methylome data from 'The Cancer Genome Atlas' and used the Cox proportional-hazards model to develop an interactive web interface for survival analysis. MethSurv enables survival analysis for a CpG l...

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Bibliographic Details
Published in:Epigenomics 2018-03, Vol.10 (3), p.277-288
Main Authors: Modhukur, Vijayachitra, Iljasenko, Tatjana, Metsalu, Tauno, Lokk, Kaie, Laisk-Podar, Triin, Vilo, Jaak
Format: Article
Language:English
Subjects:
Annotations
Atlases as Topic
Bioinformatics
Biomarkers
Breast cancer
Browsing
Cancer
cancer survival analysis
Cluster Analysis
clustering
Computational Biology - methods
Consortia
Cox Proportional-Hazards
CpG Islands
Data Mining
Deoxyribonucleic acid
DNA
DNA Methylation
DNA, Neoplasm - genetics
DNA, Neoplasm - metabolism
Epigenesis, Genetic
Epigenetics
Esophagus
Gene expression
Genome, Human
Genomes
Hazards
Humans
Illumina 450 K
Kaplan-Meier
Kaplan-Meier Estimate
Kidney cancer
Medical diagnosis
Medical prognosis
Methods
Molecular Sequence Annotation
Morphogenesis
Neoplasms - diagnosis
Neoplasms - genetics
Neoplasms - metabolism
Neoplasms - mortality
Ontology
Patients
Principal components analysis
prognosis
Proportional Hazards Models
Software
Survival
Survival analysis
Systematic review
TCGA
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Description
Summary:To develop a web tool for survival analysis based on CpG methylation patterns. We utilized methylome data from 'The Cancer Genome Atlas' and used the Cox proportional-hazards model to develop an interactive web interface for survival analysis. MethSurv enables survival analysis for a CpG located in or around the proximity of a query gene. For further mining, cluster analysis for a query gene to associate methylation patterns with clinical characteristics and browsing of top biomarkers for each cancer type are provided. MethSurv includes 7358 methylomes from 25 different human cancers. The MethSurv tool is a valuable platform for the researchers without programming skills to perform the initial assessment of methylation-based cancer biomarkers.
ISSN:1750-1911
1750-192X
DOI:10.2217/epi-2017-0118