Evidence map›Paper›PMID 29333472›Full record

ArticleAIMS public health2017

Black-White Disparities in Breast Cancer Subtype: The Intersection of Socially Patterned Stress and Genetic Expression.

Erin Linnenbringer, Sarah Gehlert, Arline T Geronimus

Open access · goldAbstract read
In one paragraph

Article in AIMS public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  12. Response to: Comment on Genetic Ancestry-Specific Molecular and Survival Differences in Admixed Breast Cancer Patients.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
  13. Review
  14. A Multiscale Spatiotemporal Epidemiological Analysis of Neighborhood Correlates of Triple-Negative Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    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

3 authors at 2 institutions in 1 country.

Erin LinnenbringerDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110-1093, USA.
Sarah GehlertCollege of Social Work, University of South Carolina, Columbia, SC 29208, USA.
Arline T GeronimusPopulation Studies Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48106-1248, USA.
Washington University in St. Louis · USUniversity of South Carolina · US

Funding

TRAINING IN THE DEMOGRAPHY OF AGINGT32AG000221 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 1992 to 2026
$15.3M
Population Studies Center Infrastructure GrantR24HD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMOCK, PAMELA J. · 2001 to 2016
$13.2M
Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
INTEGRATION OF GENOMIC AND SOCIAL SCIENCE IN BREAST CANCER DISPARITIES RESEARCHK07CA212032 · NCI · WASHINGTON UNIVERSITY · PI LINNENBRINGER, ERIN LYNN · 2016 to 2019
$543k
NCI NIH HHS K07 CA212032NIA NIH HHS T32 AG000221NICHD NIH HHS P2C HD041028NICHD NIH HHS R24 HD041028
6 · The paper itself

Abstract

Hormone receptor negative (HR-) breast cancer subtypes are etiologically distinct from the more common, less aggressive, and more treatable form of estrogen receptor positive (ER+) breast cancer. Numerous population-based studies have found that, in the United States, Black women are 2 to 3 times more likely to develop HR- breast cancer than White women. Much of the existing research on racial disparities in breast cancer subtype has focused on identifying predisposing genetic factors associated with African ancestry. This approach fails to acknowledge that racial stratification shapes a wide range of environmental and social exposures over the life course. Human stress genomics considers the role of individual stress perceptions on gene expression. Yet, the role of structurally rooted biopsychosocial processes that may be activated by the social patterning of stressors in an historically unequal society, whether perceived by individual black women or not, could also impact cellular physiology and gene expression patterns relevant to HR- breast cancer etiology. Using the weathering hypothesis as our conceptual framework, we develop a structural perspective for examining racial disparities in breast cancer subtypes, integrating important findings from the stress biology, breast cancer epidemiology, and health disparities literatures. After integrating key findings from these largely independent literatures, we develop a theoretically and empirically guided framework for assessing potential multilevel factors relevant to the development of HR- breast cancer disproportionately among Black women in the US. We hypothesize that a dynamic interplay among socially patterned psychosocial stressors, physiological & behavioral responses, and genomic pathways contribute to the increased risk of HR- breast cancer among Black women. This work provides a basis for exploring potential alternative pathways linking the lived experience of race to the risk of HR- breast cancer, and suggests new avenues for research and public health action.

Indexed as

breast cancerhealth disparitiessocial environmentsocial genomicsweathering

Identifiers

PMID29333472
PMCPMC5764177
OpenAlexW2769775826

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.