Evidence map›Paper›PMID 39485107›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Metabolic Syndrome and Risks of Breast Cancer Outcomes for Luminal, Triple-Negative, and HER2-Overexpressing Subtypes.

Nicole C Loroña, Megan Othus, Kathleen E Malone, Hannah M Linden, Mei-Tzu C Tang, Christopher I Li

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Nicole C LoroñaDepartment of Epidemiology, University of Washington, Seattle, Washington.ORCID 0000-0002-8302-3157
Megan OthusDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0001-8176-6371
Kathleen E MaloneDepartment of Epidemiology, University of Washington, Seattle, Washington.ORCID 0000-0002-5643-6714
Hannah M LindenMedical Oncology, University of Washington, Seattle, Washington.ORCID 0000-0001-5048-2819
Mei-Tzu C TangDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.ORCID 0000-0001-8185-6609
Christopher I LiDepartment of Epidemiology, University of Washington, Seattle, Washington.ORCID 0000-0003-1543-0743

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Developing Data-Driven Cancer ResearchersT32CA009168 · NCI · UNIVERSITY OF WASHINGTON · PI STEPHEN M SCHWARTZ, MICHAEL Chiao-An WU · 1985 to 2026
$10.1M
National Cancer Institute (NCI) 261201000029CNational Cancer Institute (NCI) T32CA009168NCI NIH HHS HHSN261201000029CNCI NIH HHS P30 CA015704NCI NIH HHS T32 CA009168U.S. Department of Defense (DOD) BC112721
6 · The paper itself

Abstract

backgroundWe evaluated the association between metabolic syndrome (MetS; obesity plus two metabolic risk factors) and breast cancer outcomes according to molecular subtype.

methodsThis population-based prospective cohort consisted of 3,267 women ages 20 to 69 years diagnosed with a first primary invasive breast cancer from 2004 to 2015 in the Seattle-Puget Sound region. Breast cancer was categorized into three subtypes based on estrogen receptor (ER), progesterone receptor, and HER2 expression: luminal (ER+), triple-negative (ER-/progesterone receptor negative/HER2-), and HER2-overexpressing (H2E; ER-/HER2+) subtypes. We used time-varying Cox models to assess the association of prevalent and incident MetS with risks of recurrence, breast cancer-specific mortality (BCSM), and all-cause mortality (ACM).

resultsMetS was associated with a greater risk of recurrence [HR, 3.24; 95% confidence interval (CI), 1.13-9.33] and BCSM (HR, 5.34; 95% CI, 2.32-12.31) only for the H2E subtype and greater risks of ACM for luminal (HR, 1.92; 95% CI, 1.37-2.68), H2E (HR, 5.09; 95% CI, 2.51-10.32), and all cases combined (HR, 1.90; 95% CI, 1.42-2.53). We also observed heterogeneity in recurrence and mortality outcomes across specific components of MetS and molecular subtypes.

conclusionsMetS is associated with ACM among women with breast cancer and with BCSM among women with the H2E subtype. IMPACT: These results highlight the importance of managing comorbidities to decrease the risk for adverse outcomes among breast cancer survivors.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesMetabolic SyndromeAdultAgedFemaleHumansMiddle AgedNeoplasm Recurrence, LocalProspective StudiesReceptors, EstrogenReceptors, ProgesteroneRisk FactorsTriple Negative Breast NeoplasmsYoung AdultERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID39485107
PMCPMC11717615

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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.