Evidence map›Paper›PMID 27490804›Full record

ArticleBritish journal of cancer2016

Genome-wide measures of DNA methylation in peripheral blood and the risk of urothelial cell carcinoma: a prospective nested case-control study.

Pierre-Antoine Dugué, Maree T Brinkman, Roger L Milne, Ee Ming Wong, Liesel M FitzGerald, Julie K Bassett, Jihoon E Joo, Chol-Hee Jung, Enes Makalic, Daniel F Schmidt and 12 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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  14. Genome-wide average DNA methylation is determined in utero.International journal of epidemiology · 2018
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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

22 authors at 6 institutions in 2 countries.

Pierre-Antoine DuguéCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3004, Australia.
Maree T BrinkmanCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3004, Australia.
Roger L MilneCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3004, Australia.
Ee Ming WongGenetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC 3052, Australia.
Liesel M FitzGeraldCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3004, Australia.
Julie K BassettCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3004, Australia.
Jihoon E JooGenetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC 3052, Australia.
Chol-Hee JungVLSCI Life Sciences Computation Centre, University of Melbourne, Carlton, VIC 3053, Australia.
Enes MakalicCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC 3052, Australia.
Daniel F SchmidtCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC 3052, Australia.
Daniel J ParkGenetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC 3052, Australia.
Jessica ChungMenzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia.
Anthony D TaDepartment of Surgery, University of Melbourne, Melbourne, VIC 3004, Australia.
Damien M BoltonDepartment of Surgery, University of Melbourne, Melbourne, VIC 3004, Australia.
Andrew LonieVLSCI Life Sciences Computation Centre, University of Melbourne, Carlton, VIC 3053, Australia.
Anthony LonganoDepartment of Anatomical Pathology, Monash Medical Centre, Clayton, VIC 3800, Australia.
John L HopperCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC 3052, Australia.
Gianluca SeveriCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3004, Australia.
Richard SafferyDepartment of Paediatrics, University of Melbourne, Melbourne, VIC, Australia.
Dallas R EnglishCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3004, Australia.
Melissa C SoutheyGenetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC 3052, Australia.
Graham G GilesCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC 3004, Australia.
University of Melbourne · AUCancer Council Victoria · AUUniversity of Tasmania · AUMelbourne Bioinformatics · AUMonash Medical Centre · AUUniversité de Versailles Saint-Quentin-en-Yvelines · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobal DNA methylation has been reported to be associated with urothelial cell carcinoma (UCC) by studies using blood samples collected at diagnosis. Using the Illumina HumanMethylation450 assay, we derived genome-wide measures of blood DNA methylation and assessed them for their prospective association with UCC risk.

methodsWe used 439 case-control pairs from the Melbourne Collaborative Cohort Study matched on age, sex, country of birth, DNA sample type, and collection period. Conditional logistic regression was used to compute odds ratios (OR) of UCC risk per s.d. of each genome-wide measure of DNA methylation and 95% confidence intervals (CIs), adjusted for potential confounders. We also investigated associations by disease subtype, sex, smoking, and time since blood collection.

resultsThe risk of superficial UCC was decreased for individuals with higher levels of our genome-wide DNA methylation measure (OR=0.71, 95% CI: 0.54-0.94; P=0.02). This association was particularly strong for current smokers at sample collection (OR=0.47, 95% CI: 0.27-0.83). Intermediate levels of our genome-wide measure were associated with decreased risk of invasive UCC. Some variation was observed between UCC subtypes and the location and regulatory function of the CpGs included in the genome-wide measures of methylation.

conclusionsHigher levels of our genome-wide DNA methylation measure were associated with decreased risk of superficial UCC and intermediate levels were associated with reduced risk of invasive disease. These findings require replication by other prospective studies.

Indexed as

DNA MethylationAdultAgedBlood Specimen CollectionCarcinoma, Transitional CellCase-Control StudiesCpG IslandsDietDNAFemaleFollow-Up StudiesGenome-Wide Association StudyHumansIncidenceMaleMiddle AgedDNA

Identifiers

PMID27490804
PMCPMC5023776
OpenAlexW2504183714

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.