Evidence map›Paper›PMID 42228744›Full record

ArticlePloS one2026

Tumor hypoxia is associated with global copy-number alteration burden and subtype-dependent overall survival in breast cancer: Evidence from TCGA and METABRIC.

Wenhan Yang

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

1 author.

Wenhan YangCollege of Arts and Sciences, Georgia State University, Atlanta, Georgia, United States of America.ORCID https://orcid.org/0009-0006-0894-0445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor hypoxia is biologically important in breast cancer, but its prognostic value may be distorted by intrinsic molecular subtype composition. This study evaluated whether hypoxia-related prognosis was subtype-dependent and whether hypoxia was associated with genome-wide copy-number alteration (CNA) burden. Transcriptome-derived hypoxia scores, CNA burden, and overall survival data were analyzed from TCGA and METABRIC. Survival differences between hypoxia groups were assessed using Kaplan-Meier analysis and log-rank tests. Multivariable Cox models were used to evaluate hypoxia-related prognosis after adjustment for subtype and eligible clinical covariates. Proportional hazards diagnostics and Weibull accelerated failure time models were further applied to address potential model-assumption violations. In TCGA, the cohort-wide survival association was no longer evident after adjustment for subtype and clinical covariates. The clearest subtype-specific signal was observed in Luminal B tumors. Within this subtype, low hypoxia was associated with better survival after adjustment for age, stage, and CNA burden. In METABRIC, high hypoxia remained associated with poorer survival in Weibull accelerated failure time models. Higher hypoxia was also consistently associated with greater CNA burden across both cohorts. These findings support subtype-aware interpretation of hypoxia biomarkers and suggest a reproducible link between hypoxia and genomic instability in breast cancer.

Indexed as

Breast NeoplasmsDNA Copy Number VariationsTumor HypoxiaFemaleHumansKaplan-Meier EstimatePrognosisProportional Hazards Models

Identifiers

PMID42228744
PMCPMC13229377

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.