MethSurv: a Web Tool to Perform Multivariable Survival Analysis Using DNA Methylation Data

Overview

Journal Epigenomics

Specialty Genetics

Date 2017 Dec 22

PMID 29264942

Citations 333

Authors

Vijayachitra Modhukur

Tatjana Iljasenko

Tauno Metsalu

Kaie Lokk

Triin Laisk-Podar

Jaak Vilo

Affiliations

Soon will be listed here.

Abstract

Aim: To develop a web tool for survival analysis based on CpG methylation patterns.

Materials & Methods: 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.

Results: 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.

Conclusion: The MethSurv tool is a valuable platform for the researchers without programming skills to perform the initial assessment of methylation-based cancer biomarkers.

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