MethSurv: a web tool to perform multivariable survival analysis using DNA methylation data. (March 2018)

• Record Type: Journal Article
• Authors: Modhukur, Vijayachitra; Iljasenko, Tatjana; Metsalu, Tauno; Lokk, Kaie; Laisk-Podar, Triin; Vilo, Jaak
• Is Part Of: Epigenomics. Volume 10:Number 3(2018)
• Page Start: 277
• Page End: 288
• Publication Date: 2018-03
• Subjects: biomarkers -- cancer survival analysis -- clustering -- Cox Proportional-Hazards -- DNA methylation -- epigenetics -- Illumina 450 K -- Kaplan–Meier -- prognosis -- TCGA; Epigenesis -- Periodicals; Genomics -- Periodicals; Chromatin -- Periodicals; DNA -- Periodicals; 572.87
• DOI: 10.2217/epi-2017-0118
• Languages: English
• ISSNs: 1750-1911

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.