Evidence map›Paper›PMID 25421674›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2015

Epigenetics in breast and prostate cancer.

Yanyuan Wu, Marianna Sarkissyan, Jaydutt V Vadgama

Open access · greenAbstract readReview
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 4% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 116 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Clinical progress and functional modalities of HDAC inhibitor-based combination therapies in cancer treatment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  6. Article
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  10. Differential DNA Methylation in the Benign and Cancerous Prostate Tissue of African American and European American Men.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
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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

3 authors at 2 institutions in 1 country.

Yanyuan WuDivision of Cancer Research and Training, Department of Internal Medicine, Center to Eliminate Cancer Health Disparities, Charles R. Drew University of Medicine and Science, 1731 East 120th Street, Los Angeles, CA, 90059, USA.
Marianna Sarkissyan
Jaydutt V Vadgama
Charles R. Drew University of Medicine and Science · USUniversity of California, Los Angeles · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
Workshop for Junior Biostatisticians in Health ResearchU54MD007598 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI Jaydutt V. Vadgama · 2012 to 2026
$60.0M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Supporting African American Churches to Promote Cancer ScreeningU54CA143931 · NCI · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI VADGAMA, JAYDUTT V. · 2009 to 2022
$19.7M
The CDU-Clinical Research Education and Career Development ProgramR25MD007610 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI Roberto Balbino Vargas · 2012 to 2026
$7.8M
Training and Mentoring ProgramsU54CA143930 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PIETRAS, RICHARD JOSEPH · 2009 to 2020
$7.5M
Drew/UCLA Cancer Partnership ProgramU56CA101599 · NCI · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI VADGAMA, JAYDUTT V. · 2003 to 2009
$1.3M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NCI NIH HHS CA15083-25S3NCI NIH HHS N01 CA015083NCI NIH HHS P30 CA015083NCI NIH HHS U54CA14393NCI NIH HHS U54 CA143930NCI NIH HHS U54 CA143931NCI NIH HHS U56 CA101599NCI NIH HHS U56CA101599-01NIMHD NIH HHS 5MD007610NIMHD NIH HHS R25 MD007610NIMHD NIH HHS U54 MD007598NIMHD NIH HHS U54MD007598
6 · The paper itself

Abstract

Most recent investigations into cancer etiology have identified a key role played by epigenetics. Specifically, aberrant DNA and histone modifications which silence tumor suppressor genes or promote oncogenes have been demonstrated in multiple cancer models. While the role of epigenetics in several solid tumor cancers such as colorectal cancer are well established, there is emerging evidence that epigenetics also plays a critical role in breast and prostate cancer. In breast cancer, DNA methylation profiles have been linked to hormone receptor status and tumor progression. Similarly in prostate cancer, epigenetic patterns have been associated with androgen receptor status and response to therapy. The regulation of key receptor pathways and activities which affect clinical therapy treatment options by epigenetics renders this field high priority for elucidating mechanisms and potential targets. A new set of methylation arrays are now available to screen epigenetic changes and provide the cutting-edge tools needed to perform such investigations. The role of nutritional interventions affecting epigenetic changes particularly holds promise. Ultimately, determining the causes and outcomes from epigenetic changes will inform translational applications for utilization as biomarkers for risk and prognosis as well as candidates for therapy.

Indexed as

Epigenesis, GeneticAnimalsBreast NeoplasmsEpigenomicsGene-Environment InteractionHumansMaleProstatic Neoplasms

Identifiers

PMID25421674
PMCPMC4364390
OpenAlexW2311441091

What OpenQuestion holds

Textmetadata
LicenceTDM
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.