Evidence map›Paper›PMID 25631659›Full record

ArticleGenome biology2015

Pancancer analysis of DNA methylation-driven genes using MethylMix.

Olivier Gevaert, Robert Tibshirani, Sylvia K Plevritis

Open access · hybridAbstract read
In one paragraph

Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 1 synthesis or guideline pooled it, 118 citations in OpenAlex.

  1. Pooled it
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  5. Review
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  8. Article
  9. CpG Island Methylator Phenotype-A Hope for the Future or a Road to Nowhere?International journal of molecular sciences · 2022
    Review
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12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Olivier GevaertBiomedical Informatics Research, Department of Medicine, Stanford University, 1265 Welch Road, Stanford, CA, 94305, USA. ogevaert@stanford.edu.
Robert TibshiraniDepartments of Health Research & Policy, and Statistics, Stanford University, Stanford, CA, 94305, USA. tibs@stanford.edu.
Sylvia K PlevritisDepartment of Radiology, Stanford University, Stanford, CA, 94305, USA. sylvia.plevritis@stanford.edu.
Stanford University · US

Funding

Functional Analysis of Oncogenic Networks in Primary OrganoidsU01CA176299 · NCI · STANFORD UNIVERSITY · PI JI, HANLEE P, KUO, CALVIN J · 2013 to 2016
$3.6M
Tools for Linking and Mining image and Genomic Data in Non-Small Cell Lung CancerR01CA160251 · NCI · STANFORD UNIVERSITY · PI NAPEL, SANDY A., PLEVRITIS, SYLVIA KATINA · 2011 to 2015
$2.9M
(PQD2)New Biomarkers and Pathways to Enhance Cure in Ovarian CancersR01CA184968 · NCI · STANFORD UNIVERSITY · PI FANTL, WENDY JANE, SIKIC, BRANIMIR I · 2014 to 2017
$2.0M
NCI NIH HHS R01 CA160251NCI NIH HHS R01CA160251NCI NIH HHS R01 CA184968NCI NIH HHS U01 CA176299
6 · The paper itself

Abstract

Aberrant DNA methylation is an important mechanism that contributes to oncogenesis. Yet, few algorithms exist that exploit this vast dataset to identify hypo- and hypermethylated genes in cancer. We developed a novel computational algorithm called MethylMix to identify differentially methylated genes that are also predictive of transcription. We apply MethylMix to 12 individual cancer sites, and additionally combine all cancer sites in a pancancer analysis. We discover pancancer hypo- and hypermethylated genes and identify novel methylation-driven subgroups with clinical implications. MethylMix analysis on combined cancer sites reveals 10 pancancer clusters reflecting new similarities across malignantly transformed tissues.

Indexed as

Genes, NeoplasmSoftwareCluster AnalysisDNA MethylationGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasmsTranscription, Genetic

Identifiers

PMID25631659
PMCPMC4365533
OpenAlexW2125939156

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.