Evidence map›Paper›PMID 34600088›Full record

ArticleToxicology2021

Identifying the link between chemical exposures and breast cancer in African American women via integrated in vitro and exposure biomarker data.

Katelyn M Polemi, Vy K Nguyen, Julien Heidt, Adam Kahana, Olivier Jolliet, Justin A Colacino

Open access · greenAbstract read
In one paragraph

Article in Toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 22 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

6 authors at 1 institution in 1 country.

Katelyn M PolemiDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA.
Vy K NguyenDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Julien HeidtDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA.
Adam KahanaDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA.
Olivier JollietDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Justin A ColacinoDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA; Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI, USA. Electronic address: colacino@umich.edu.
University of Michigan · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007499 · NIGMS · YALE UNIVERSITY · PI CARLSON, JOHN R, REINKE, VALERIE J · 1985 to 2022
$13.9M
ENVIRONMENTAL TOXICOLOGY PRE/POST DOCTORAL RES.TRAININGT32ES007062 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin Adam Colacino · 1985 to 2026
$10.5M
Diversity SupplementR01ES028802 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin Adam Colacino · 2018 to 2026
$4.8M
NCI NIH HHS P30 CA046592NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES028802NIEHS NIH HHS T32 ES007062NIGMS NIH HHS T32 GM007499
6 · The paper itself

Abstract

Among women, breast cancer is the most prevalent form of cancer worldwide and has the second highest mortality rate of any cancer in the United States. The breast cancer related death rate is 40 % higher in non-Hispanic Black women compared to non-Hispanic White women. The incidence of triple negative breast cancer (TNBC), an aggressive subtype of breast cancer for which there is no targeted therapy, is also approximately three times higher for Black, relative to, White women. The drivers of these differences are poorly understood. Here, we aimed to identify chemical exposures which play a role in breast cancer disparities. Using chemical biomonitoring data from the National Health and Nutrition Examination Survey (NHANES) and biological activity data from the EPA's ToxCast program, we assessed the toxicological profiles of chemicals to which US Black women are disproportionately exposed. We conducted a literature search to identify breast cancer targets in ToxCast to analyze the response of chemicals with exposure disparities in these assays. Forty-three chemical biomarkers are significantly higher in Black women. Investigation of these chemicals in ToxCast resulted in 32,683 assays for analysis, 5172 of which contained nonzero values for the concentration at which the dose-response fitted model reaches the cutoff considered "active". Of these chemicals BPA, PFOS, and thiram are most comprehensively assayed. 2,5-dichlorophenol, 1,4-dichlorobenzene, and methyl and propyl parabens had higher biomarker concentrations in Black women and moderate testing and activity in ToxCast. The distribution of active concentrations for these chemicals in ToxCast assays are comparable to biomarker concentrations in Black women NHANES participants. Through this integrated analysis, we identify that multiple chemicals, including thiram, propylparaben, and p,p' DDE, have disproportionate exposures in Black women and have breast cancer associated biological activity at human exposure relevant doses.

Indexed as

Health Status DisparitiesBiomarkersBlack or African AmericanBreast NeoplasmsEnvironmental ExposureFemaleHazardous SubstancesHumansNutrition SurveysTriple Negative Breast NeoplasmsUnited StatesWhite PeopleBiomarkersHazardous SubstancesBreast cancerCarcinogenesisChemical prioritizationRacial disparitiesToxCast

Identifiers

PMID34600088
PMCPMC8593892
OpenAlexW3203500591

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.