Evidence map›Paper›PMID 28463958›Full record

ArticleBritish journal of cancer2017

Prospective study of DNA methylation at chromosome 8q24 in peripheral blood and prostate cancer risk.

Kathryn Hughes Barry, Lee E Moore, Joshua N Sampson, Stella Koutros, Liying Yan, Ann Meyer, Mahitha Reddy, Andrew J Oler, Michael B Cook, Joseph F Fraumeni and 3 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Genes · 2020
    Article
  9. Interactions ofCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  10. Molecular mechanisms involving prostate cancer racial disparity.American journal of clinical and experimental urology · 2017
    Review
  11. Article
  12. Article
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

13 authors at 4 institutions in 1 country.

Kathryn Hughes BarryDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Lee E MooreOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Joshua N SampsonBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Stella KoutrosOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Liying YanEpigenDx, Inc., Hopkinton, MA 01748, USA.
Ann MeyerEpigenDx, Inc., Hopkinton, MA 01748, USA.
Mahitha ReddyEpigenDx, Inc., Hopkinton, MA 01748, USA.
Andrew J OlerBioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, Bethesda, MD 20892, USA.
Michael B CookMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Joseph F FraumeniOffice of the Director, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Meredith YeagerFrederick National Laboratory for Cancer Research, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Laufey T AmundadottirLaboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Sonja I BerndtOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
National Cancer Institute · USDivision of Cancer Epidemiology and GeneticsNational Institute of Allergy and Infectious Diseases · USUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChromosome 8q24 has emerged as an important genetic susceptibility region for several cancers, including prostate cancer; however, little is known about the contribution of DNA methylation in this region to risk.

methodsWe prospectively evaluated DNA methylation at 8q24 in relation to prostate cancer using pre-diagnostic blood samples from 694 prostate cancer cases (including 172 aggressive cases) and 703 controls in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. We used logistic regression to estimate odds ratios and 95% confidence intervals.

resultsAlthough none remained significant after adjustment for multiple testing (q>0.05), of the 50 CpG sites meeting quality control, we identified 8 sites that were nominally associated with prostate cancer (P

conclusionsAlthough requiring replication, our findings provide some evidence that 8q24 DNA methylation levels may be associated with prostate cancer risk.

Indexed as

Chromosomes, Human, Pair 8DNA MethylationGenes, mycAgedCase-Control StudiesCpG IslandsDNAHomeodomain ProteinsHumansMaleMiddle AgedPolymorphism, Single NucleotideProspective StudiesProstate-Specific AntigenProstatic NeoplasmsRandomized Controlled Trials as TopicDNAHomeodomain ProteinsPOU5F1B protein, humanProstate-Specific Antigen

Identifiers

PMID28463958
PMCPMC5520085
OpenAlexW2611770801

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.