Evidence map›Paper›PMID 24853948›Full record

ArticleGenetic epidemiology2014

Genome-wide investigation of regional blood-based DNA methylation adjusted for complete blood counts implicates BNC2 in ovarian cancer.

Stacey J Winham, Sebastian M Armasu, Mine S Cicek, Melissa C Larson, Julie M Cunningham, Kimberly R Kalli, Brooke L Fridley, Ellen L Goode

Open access · greenAbstract read
In one paragraph

Article in Genetic epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Stacey J WinhamDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America.
Sebastian M Armasu
Mine S Cicek
Melissa C Larson
Julie M Cunningham
Kimberly R Kalli
Brooke L Fridley
Ellen L Goode
Mayo Clinic in Florida · USMayo Clinic · USUniversity of Kansas · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Douglas E Wright · 2012 to 2026
$63.0M
Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI NICOLE L NOLLEN · 2012 to 2026
$40.1M
Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI Zhenkun Lou · 2009 to 2026
$37.0M
Ovarian cancer GWAS discovery, expansion and replication (N2 - Project #1)U19CA148112 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI SELLERS, THOMAS A · 2010 to 2014
$10.2M
Mayo Clinic Interdisciplinary Women's Health Research ProgramK12HD065987 · NICHD · MAYO CLINIC ROCHESTER · PI KANTARCI, KEJAL · 2010 to 2023
$6.7M
Genetic Variation in the NF-kappaB Pathway and Ovarian Cancer EtiologyR01CA122443 · NCI · MAYO CLINIC ROCHESTER · PI GOODE, ELLEN L. · 2007 to 2012
$2.7M
Bayesian hierarchical nonlinear models for pharmacogenomic cytotoxicity studiesR21GM086689 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI FRIDLEY, BROOKE L · 2011 to 2012
$232k
NCI NIH HHS P30 CA015083NCI NIH HHS P30 CA168524NCI NIH HHS P50 CA136393NCI NIH HHS R01 CA122443NCI NIH HHS R01CA122443NCI NIH HHS U19 CA148112NCI NIH HHS U19-CA148112NICHD NIH HHS K12 HD065987NICHD NIH HHS K12HD65987NIGMS NIH HHS P20 GM103418NIGMS NIH HHS P20GM103418NIGMS NIH HHS R21 GM086689NIGMS NIH HHS R21GM86689PHS HHS P50 136393
6 · The paper itself

Abstract

Due to its potential as a biomarker for early cancer detection, blood-based DNA methylation (DNAm) is of interest in cancer research. Specifically, highly predictive mechanisms for early detection of epithelial ovarian cancer (EOC) are desired, so previous studies have compared DNAm between EOC cases and controls. However, case-control studies are confounded by the distribution of white blood cell types through an immune response induced by the cancer. Rather than determining the distribution of the cell types manually or investigating isolated cell types, an alternative approach involves the use of complete blood count (CBC), which is routinely collected. In the analysis of an EOC case-control study of DNAm, we incorporate CBC measures to adjust for this confounding and compare DNAm between 242 EOC cases and 181 age-matched controls (assayed on the Illumina Infinium HumanMethylation27 or HumanMethylation450 Beadchips), at both the individual CpG and CpG island levels. We found that adjustment for leukocyte distribution using CBC measurements dramatically reduced confounding, with 62 single CpG sites found to be associated with EOC status after adjustment (P < 5E-8). Additionally, regional DNAm was assessed by applying principal components analysis to CpG islands. The top associated CpG island (P = 7E-6) was located in the promoter/transcription start site of the human basonuclin 2 gene (BNC2), a known susceptibility gene for EOC risk identified through GWAS. Follow-up studies are necessary to establish the role of BNC2 in blood-based DNA and EOC, including prospective studies to validate this region as a potential biomarker and predictor of EOC susceptibility.

Indexed as

AdolescentAdultBlood Cell CountCarcinoma, Ovarian EpithelialCase-Control StudiesCpG IslandsDNADNA-Binding ProteinsDNA MethylationEpigenesis, GeneticFemaleGenome, HumanHumansMaternal AgeMiddle AgedNeoplasms, Glandular and EpithelialBNC2 protein, humanDNADNA-Binding Proteinscomplete blood countCpG islandepigeneticsetiologyprincipal components

Identifiers

PMID24853948
PMCPMC4071957
OpenAlexW2114534059

What OpenQuestion holds

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Registered trials

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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.