Evidence map›Paper›PMID 32749195›Full record

ArticleEpigenetics2021

The influence of obesity on folate status, DNA methylation and cancer-related gene expression in normal breast tissues from premenopausal women.

Armina-Lyn M Frederick, Chi Guo, Ann Meyer, Liying Yan, Sallie S Schneider, Zhenhua Liu

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. [Performance of Plasma Multigene Methylation Testing in Early Diagnosis of Colorectal Cancer].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  3. Review
  4. Review
  5. 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

6 authors at 4 institutions in 2 countries.

Armina-Lyn M FrederickDepartment of Nutrition, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA.
Chi GuoDepartment of Nutrition, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA.
Ann MeyerDivision of Pyrosequencing, EpigenDx, Hopkinton, MA, USA.
Liying YanDivision of Pyrosequencing, EpigenDx, Hopkinton, MA, USA.
Sallie S SchneiderPioneer Valley Life Sciences Institute, Baystate Medical Center, Springfield, MA, USA.
Zhenhua LiuDepartment of Nutrition, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA.
Baystate Medical Center · USDartmouth College · USHunan University · CNJean Mayer Human Nutrition Research Center on Aging · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies have established obesity as a critical risk factor for postmenopausal breast cancer (post-BC), whereas a reverse association holds prior to menopause. A significant scientific gap exists in understanding the mechanism(s) underpinning this epidemiological phenomenon, particularly the reverse association between obesity and premenopausal breast cancer (pre-BC). This study aimed to understand how folate metabolism and DNA methylation inform the association between obesity and pre-BC. Fifty normal breast tissue samples were collected from premenopausal women who underwent reduction mammoplasty. We modified the

Indexed as

Breast NeoplasmsDNA MethylationBody Mass IndexFemaleFolic AcidGene ExpressionHumansObesityFolic AcidDNA methylationfolateObesitypremenopausal breast cancer

Identifiers

PMID32749195
PMCPMC7993144
OpenAlexW3047123329

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.