Evidence map›Paper›PMID 42124639›Full record

ArticlebioRxiv : the preprint server for biology2026

Exploring the Influence of Chemical Exposures in Breast Cancer Disparities: High-Throughput Transcriptomic Analysis in Normal Breast Cells from Diverse Donors.

Neil Zhao, Peiyao Zhao, Anagha Tapaswi, Katelyn Polemi, Tasha Thong, Jonathan Sexton, Simone Charles, Max S Wicha, Laurie Svoboda, Xiang Zhou and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Neil ZhaoDepartment of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA.ORCID 0009-0007-6787-4959
Peiyao ZhaoDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0002-5844-3248
Anagha TapaswiDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0001-5051-8623
Katelyn PolemiDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0002-1093-9631
Tasha ThongDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0001-5086-4358
Jonathan SextonDepartment of Internal Medicine, University of Michigan College of Pharmacy, Ann Arbor, MI, USA.ORCID 0000-0002-9244-5888
Simone CharlesDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0009-0006-1831-8801
Max S WichaDepartment of Internal Medicine, University of Michigan College of Pharmacy, Ann Arbor, MI, USA.ORCID 0000-0003-4180-7727
Laurie SvobodaDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0002-0003-4513
Xiang ZhouDepartment of Statistics and Data Science, Yale University, New Haven, CT, USA.ORCID 0000-0002-4331-7599
Justin A ColacinoDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0002-5882-4569

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Eric R. Fearon · 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
MI-CARES: The Michigan Cancer and Research on the Environment StudyUH3CA267907 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy, Bhramar Mukherjee · 2024 to 2026
$6.0M
Diversity SupplementR01ES028802 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin Adam Colacino · 2018 to 2026
$4.8M
Biomedical Informatics and Data Science Training Program (BIDS-TP)T32GM141746 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ivo D Dinov, RYAN E MILLS · 2021 to 2026
$2.6M
NCI NIH HHS P30 CA046592NCI NIH HHS UH3 CA267907NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES028802NIGMS NIH HHS T32 GM141746
6 · The paper itself

Abstract

Racial disparities in the incidence of, and mortality from, aggressive breast cancers are a pressing public health issue. Many factors have been investigated in these inequities; however, the role of toxicant exposures is not well characterized. We and others have identified substantial inequities in chemical biomarker concentrations by race. The goal of this study was to test the hypothesis that exposure to these chemicals is linked to biological changes relevant to aggressive breast cancers, such as dysregulation of the Hallmarks of Cancer. We used high throughput transcriptomic profiling of normal primary human breast epithelial cells from diverse donors (

Identifiers

PMID42124639
PMCPMC13160138

What OpenQuestion holds

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Registered trials

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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.