Evidence map›Paper›PMID 30908519›Full record

ArticlePloS one2019

Estrogenic activity, race/ethnicity, and Indigenous American ancestry among San Francisco Bay Area women.

Sylvia S Sanchez, Phum Tachachartvanich, Frank Z Stanczyk, Scarlett L Gomez, Esther M John, Martyn T Smith, Laura Fejerman

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Estrogenic Activity and Risk of Invasive Breast Cancer Among Postmenopausal Women in the Nurses' Health Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  3. COVID-19 in Africa: an ovarian victory?Journal of ovarian research · 2021
    Review
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

7 authors at 4 institutions in 1 country.

Sylvia S SanchezDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0002-3649-778X
Phum TachachartvanichDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California, United States of America.
Frank Z StanczykDepartment of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Scarlett L GomezDepartment of Medicine, Division of Oncology and Stanford Cancer Institute, Stanford School of Medicine, Stanford, California, United States of America.
Esther M JohnDepartment of Medicine, Division of Oncology and Stanford Cancer Institute, Stanford School of Medicine, Stanford, California, United States of America.
Martyn T SmithDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California, United States of America.
Laura FejermanDivision of General Internal Medicine, Institute of Human Genetics, Helen Diller Comprehensive Cancer Center and Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America.ORCID 0000-0003-3179-1151
University of California, Berkeley · USUniversity of California, San Francisco · USStanford Cancer InstituteUniversity of Southern California · US

Funding

Exposomic approach to understand the effect of immigration and genetic ancestry on breast cancer risk in U.S. LatinasR21CA210023 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FEJERMAN, LAURA · 2016 to 2017
$386k
BREAST CANCER RISK FACTORS IN HISPANIC WOMENR01CA063446 · NCI · NORTHERN CALIFORNIA CANCER CENTER · PI JOHN, ESTHER M · 1995 to 1998
–
NCI NIH HHS R01 CA063446NCI NIH HHS R21 CA210023
6 · The paper itself

Abstract

Estrogens play a significant role in breast cancer development and are not only produced endogenously, but are also mimicked by estrogen-like compounds from environmental exposures. We evaluated associations between estrogenic (E) activity, demographic factors and breast cancer risk factors in Non-Latina Black (NLB), Non-Latina White (NLW), and Latina women. We examined the association between E activity and Indigenous American (IA) ancestry in Latina women. Total E activity was measured with a bioassay in plasma samples of 503 women who served as controls in the San Francisco Bay Area Breast Cancer Study. In the univariate model that included all women with race/ethnicity as the independent predictor, Latinas had 13% lower E activity (p = 0.239) and NLBs had 35% higher activity (p = 0.04) compared to NLWs. In the multivariable model that adjusted for demographic factors, Latinas continued to show lower E activity levels (26%, p = 0.026), but the difference between NLBs and NLWs was no longer statistically significant (p = 0.431). An inverse association was observed between E activity and IA ancestry among Latina women (50% lower in 0% vs. 100% European ancestry, p = 0.027) consistent with our previously reported association between IA ancestry and breast cancer risk. These findings suggest that endogenous estrogens and exogenous estrogen-like compounds that act on the estrogen receptor and modulate E activity may partially explain racial/ethnic differences in breast cancer risk.

Indexed as

AdultAgedBreast NeoplasmsCase-Control StudiesEstrogensEthnicityFemaleGenetic Predisposition to DiseaseHumansMiddle AgedPopulation GroupsSan FranciscoYoung AdultEstrogens

Identifiers

PMID30908519
PMCPMC6433244
OpenAlexW2938796677

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.