Evidence map›Paper›PMID 31067262›Full record

ArticlePloS one2019

Mammographic breast density and its association with urinary estrogens and the fecal microbiota in postmenopausal women.

Gieira S Jones, Heather Spencer Feigelson, Roni T Falk, Xing Hua, Jacques Ravel, Guoqin Yu, Roberto Flores, Mitchell H Gail, Jianxin Shi, Xia Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. 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
1.7field-weighted citation impact, top 15% 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, 18 citations in OpenAlex.

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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

11 authors at 5 institutions in 1 country.

Gieira S JonesDepartment of Epidemiology, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0001-9537-6470
Heather Spencer FeigelsonInstitute for Health Research, Kaiser Permanente Colorado, Denver, Colorado, United States of America.
Roni T FalkDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0001-5398-761X
Xing HuaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Jacques RavelInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Guoqin YuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Roberto FloresDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0002-9856-8010
Mitchell H GailDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
Xia XuCancer Research Technology Program, Leidos Biomedical Research Incorporated, Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States of America.
James J GoedertDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.
National Cancer Institute · USKaiser Permanente · USLeidos (United States) · USUniversity of Maryland, Baltimore · USUniversity of North Carolina at Chapel Hill · US

Funding

STUDIES OF OCCUPATIONAL CANCER--MOLECULAR EPIDEMIOLOGYZ01CP010121 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ROTHMAN, NATHANIEL · 1997 to 2008
$4.4M
Cancer Control Education ProgramT32CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa B Gilkey, Melissa A. Troester · 2017 to 2026
$3.7M
NCI NIH HHS T32 CA057726NCI NIH HHS Z01 CP010121
6 · The paper itself

Abstract

backgroundBreast density, as estimated by mammography, is a strong risk factor for breast cancer in pre- and postmenopausal women, but the determinants of breast density have not yet been established. The aim of this study was to assess if urinary estrogens or gut microbiota alterations are associated with mammographic density in postmenopausal women.

methodsAmong 54 cancer-free, postmenopausal controls in the Breast and Colon Health study, we classified low- versus high-density women with Breast Imaging Reporting and Data System (BI-RADS, 5th edition) mammographic screening data, then assessed associations with urinary estrogens and estrogen metabolites (determined by liquid chromatography/tandem mass spectrometry), and fecal microbiota alpha and beta diversity (using Illumina sequencing of 16S rRNA amplicons).

resultsMultiple logistic regression revealed no significant association between breast density and fecal microbiota metrics (PD_tree P-value = 0.82; un-weighted and weighted UniFrac P = 0.92 and 0.83, respectively, both by MiRKAT). In contrast, total urinary estrogens (and all 15 estrogens/estrogen metabolites) were strongly and inversely associated with breast density (P = 0.01) after adjustment for age and body mass index.

conclusionMammographic density was not associated with the gut microbiota, but it was inversely associated with urinary estrogen levels. IMPACT: The finding of an inverse association between urinary estrogens and breast density in cancer-free women adds to the growing breast cancer literature on understanding the relationship between endogenous estrogens and mammographic density.

Indexed as

Breast DensityGastrointestinal MicrobiomeEstrogensFecesFemaleHumansLogistic ModelsMiddle AgedPostmenopauseRNA, Ribosomal, 16SEstrogensRNA, Ribosomal, 16S

Identifiers

PMID31067262
PMCPMC6505928
OpenAlexW2944217428

What OpenQuestion holds

Textmetadata
LicenceCC0
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.