Evidence map›Paper›PMID 39150154›Full record

ArticleMolecular carcinogenesis2024

Oscillatory hypoxia induced gene expression predicts low survival in human breast cancer patients.

Yasir Suhail, Yamin Liu, Wenqiang Du, Junaid Afzal, Xihua Qiu, Amina Atiq, Paola Vera-Licona, Eran Agmon, Kshitiz

Abstract read
In one paragraph

Article in Molecular carcinogenesis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yasir SuhailDepartment of Biomedical Engineering, University of Connecticut Health, Farmington, Connecticut, USA.
Yamin LiuDepartment of Biomedical Engineering, University of Connecticut Health, Farmington, Connecticut, USA.
Wenqiang DuDepartment of Biomedical Engineering, University of Connecticut Health, Farmington, Connecticut, USA.
Junaid AfzalDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Xihua QiuDepartment of Biomedical Engineering, University of Connecticut Health, Farmington, Connecticut, USA.
Amina AtiqDepartment of Biomedical Engineering, University of Connecticut, Storrs, Connecticut, USA.
Paola Vera-LiconaCenter for Cell Analysis and Modeling, University of Connecticut Health, Farmington, Connecticut, USA.
Eran AgmonCenter for Cell Analysis and Modeling, University of Connecticut Health, Farmington, Connecticut, USA.
KshitizDepartment of Biomedical Engineering, University of Connecticut Health, Farmington, Connecticut, USA.ORCID 0000-0003-4241-9427

Funding

Investigating the Role of Emergent Oscillations of Hypoxia Inducible Factor-1 alpha Activity in Cancer Growth and ProgressionR37CA248161 · NCI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KSHITIZ, . · 2020 to 2025
$2.5M
Mapping inter-cellular trophoblast-decidual signaling to its effects on invasion related maternal-fetal diseasesK99HD105973 · NICHD · UNIVERSITY OF CONNECTICUT STORRS · PI SUHAIL, YASIR · 2022 to 2024
$311k
NCI NIH HHS R37 CA248161NICHD NIH HHS K99 HD105973
6 · The paper itself

Abstract

Hypoxia is one of the key factors in the tumor microenvironment regulating nearly all steps in the metastatic cascade in many cancers, including in breast cancer. The hypoxic regions can however be dynamic with the availability of oxygen fluctuating or oscillating. The canonical response to hypoxia is relayed by transcription factor Hypoxia-Inducible Factor 1 (HIF-1), which is stabilized in hypoxia and acts as the master regulator of a large number of downstream genes. However, HIF-1 transcriptional activity can also fluctuate either due to unstable hypoxia, or by lactate mediated noncanonical degradation of HIF-1. Our understanding of how oscillatory hypoxia or HIF-1 activity specifically influences cancer malignancy is very limited. Here, using MDA-MB-231 cells as a model of triple negative breast cancer characterized by severe hypoxia, we measured the gene expression changes induced specifically by oscillatory hypoxia. We found that oscillatory hypoxia can specifically regulate gene expression differently, and at times opposite to stable hypoxia. Using the Cancer Genome Atlas RNAseq data of human cancer samples, we show that the oscillatory specific gene expression signature in MDA-MB-231 is enriched in most human cancers, and prognosticates low survival in breast cancer patients. In particular, we found that oscillatory hypoxia, unlike stable hypoxia, induces unfolded protein folding response in cells resulting in gene expression predicting reduced survival.

Indexed as

Breast NeoplasmsGene Expression Regulation, NeoplasticBiomarkers, TumorCell HypoxiaCell Line, TumorFemaleHumansHypoxiaHypoxia-Inducible Factor 1, alpha SubunitPrognosisTriple Negative Breast NeoplasmsTumor MicroenvironmentBiomarkers, TumorHypoxia-Inducible Factor 1, alpha Subunitcancer hypoxiaHIF‐1 dynamicshypoxiaoscillatory hypoxiaunfolded protein folding response

Identifiers

PMID39150154
PMCPMC11905232

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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.