Evidence map›Paper›PMID 27245195›Full record

ArticleEpigenetics2016

DNA methylation and breast tumor clinicopathological features: The Western New York Exposures and Breast Cancer (WEB) study.

Catherine L Callahan, Youjin Wang, Catalin Marian, Daniel Y Weng, Kevin H Eng, Meng-Hua Tao, Christine B Ambrosone, Jing Nie, Maurizio Trevisan, Dominic Smiraglia and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Cancers · 2024
    Article
  7. Article
  8. Article
  9. Use of Palpation Imaging in Diagnosis of Breast Diseases: A Way to Improve the Detection Rate.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  10. Review
  11. Article
  12. Article
  13. Observational
  14. Article
  15. 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 6 institutions in 2 countries.

Catherine L Callahana Department of Epidemiology and Environmental Health , School of Public Health and Health Professions, University at Buffalo , Buffalo , NY , USA.
Youjin Wanga Department of Epidemiology and Environmental Health , School of Public Health and Health Professions, University at Buffalo , Buffalo , NY , USA.
Catalin Marianb Division of Cancer Prevention and Control , College of Medicine and The Ohio State University Comprehensive Cancer Center , Columbus , OH , USA.
Daniel Y Wengb Division of Cancer Prevention and Control , College of Medicine and The Ohio State University Comprehensive Cancer Center , Columbus , OH , USA.
Kevin H Engd Department of Biostatistics and Bioinformatics , Roswell Park Cancer Institute , Buffalo , NY , USA.
Meng-Hua Taoe Department of Biostatistics and Epidemiology , University of North Texas Health Science Center , Fort Worth , TX , USA.
Christine B Ambrosonef Department of Cancer Prevention and Control , Roswell Park Cancer Institute , Buffalo , NY , USA.
Jing Niea Department of Epidemiology and Environmental Health , School of Public Health and Health Professions, University at Buffalo , Buffalo , NY , USA.
Maurizio Trevisang City College of New York , New York , NY , USA.
Dominic Smiragliah Department of Cancer Genetics , Roswell Park Cancer Institute , Buffalo , NY , USA.
Stephen B Edgei Department of Healthcare Outcomes and Policy , Roswell Park Cancer Institute , Buffalo , NY , USA.
Peter G Shieldsb Division of Cancer Prevention and Control , College of Medicine and The Ohio State University Comprehensive Cancer Center , Columbus , OH , USA.
Jo L Freudenheima Department of Epidemiology and Environmental Health , School of Public Health and Health Professions, University at Buffalo , Buffalo , NY , USA.
Roswell Park Comprehensive Cancer Center · USUniversity at Buffalo, State University of New York · USThe Ohio State University · USCity College of New York · USUniversity of North Texas Health Science Center · USWest University of Timişoara · RO

Funding

Interdisciplinary Training in Cancer Epidemiology at UBR25CA113951 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI FREUDENHEIM, JO L., MOYSICH, KIRSTEN B. · 2007 to 2016
$2.5M
Informatic Methods for Differential Signaling and Immune Co-Regulatory ExpressionK01LM012100 · NLM · ROSWELL PARK CANCER INSTITUTE CORP · PI ENG, KEVIN HASEGAWA · 2015 to 2017
$502k
NCI NIH HHS R25 CA113951NLM NIH HHS K01 LM012100
6 · The paper itself

Abstract

We evaluated the association between methylation of 9 genes, SCGB3A1, GSTP1, RARB, SYK, FHIT, CDKN2A, CCND2, BRCA1, and SFN in tumor samples from 720 breast cancer cases with clinicopathological features of the tumors and survival. Logistic regression was used to estimate odds ratios (OR) of methylation and Cox proportional hazards models to estimate hazard ratios (HR) between methylation and breast cancer related mortality. Estrogen receptor (ER) and progesterone receptor (PR) positivity were associated with increased SCGB3A1 methylation among pre- and post-menopausal cases. Among premenopausal women, compared with Stage 0 cases, cases of invasive cancer were more likely to have increased methylation of RARB (Stage I OR = 4.7, 95% CI: 1.1-19.0; Stage IIA/IIB OR = 9.7, 95% CI: 2.4-39.9; Stage III/IV OR = 5.6, 95% CI: 1.1-29.4) and lower methylation of FHIT (Stage I OR = 0.2, 95% CI: 0.1-0.9; Stage IIA/IIB OR = 0.2, 95% CI: 0.1-0.8; Stage III/IV OR = 0.6, 95% CI: 0.1-3.4). Among postmenopausal women, methylation of SYK was associated with increased tumor size (OR = 1.7, 95% CI: 1.0-2.7) and higher nuclear grade (OR = 2.0, 95% CI 1.2-3.6). Associations between methylation and breast cancer related mortality were observed among pre- but not post-menopausal women. Methylation of SCGB3A1 was associated with reduced risk of death from breast cancer (HR = 0.41, 95% CI: 0.17-0.99) as was BRCA1 (HR = 0.41, 95% CI: 0.16-0.97). CCND2 methylation was associated with increased risk of breast cancer mortality (HR = 3.4, 95% CI: 1.1-10.5). We observed differences in methylation associated with tumor characteristics; methylation of these genes was also associated with breast cancer survival among premenopausal cases. Understanding of the associations of DNA methylation with other clinicopathological features may have implications for prevention and treatment.

Indexed as

DNA Methylation14-3-3 ProteinsAcid Anhydride HydrolasesAdultAgedAge FactorsBiomarkers, TumorBis(5'-adenosyl)triphosphataseBRCA1 ProteinBreast NeoplasmsCyclin D2Cyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18CytokinesExoribonucleasesFemale14-3-3 ProteinsAcid Anhydride HydrolasesBiomarkers, TumorBis(5'-adenosyl)triphosphataseBRCA1 ProteinBRCA1 protein, humanCCND2 protein, humanCDKN2A protein, humanCyclin D2Cyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18CytokinesExoribonucleasesGlutathione S-Transferase piGSTP1 protein, humanNeoplasm ProteinsReceptors, Retinoic Acidretinoic acid receptor betaSCGB3A1 protein, humanSFN protein, humanSyk KinaseSYK protein, humanTumor Suppressor ProteinsBreast cancerbreast cancer survivalDNA methylationtumor characteristicstumor suppressor genes

Identifiers

PMID27245195
PMCPMC5048718
OpenAlexW2472684298

What OpenQuestion holds

Textmetadata
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.