Evidence map›Paper›PMID 27634881›Full record

ArticleOncotarget2016

Tissue and imaging biomarkers for hypoxia predict poor outcome in endometrial cancer.

Anna Berg, Kristine E Fasmer, Karen K Mauland, Sigmund Ytre-Hauge, Erling A Hoivik, Jenny A Husby, Ingvild L Tangen, Jone Trovik, Mari K Halle, Kathrine Woie and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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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

16 authors at 3 institutions in 1 country.

Anna BergCenter for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway.
Kristine E FasmerDepartment of Radiology, Haukeland University Hospital, Norway.
Karen K MaulandCenter for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway.
Sigmund Ytre-HaugeDepartment of Radiology, Haukeland University Hospital, Norway.
Erling A HoivikCenter for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway.
Jenny A HusbyDepartment of Radiology, Haukeland University Hospital, Norway.
Ingvild L TangenCenter for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway.
Jone TrovikCenter for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway.
Mari K HalleCenter for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway.
Kathrine WoieDepartment of Gynecology and Obstetrics, Haukeland University Hospital, Norway.
Line BjørgeCenter for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway.
Atle BjørnerudDepartment of Physics, University of Oslo, Norway.
Helga B SalvesenCenter for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway.
Henrica M J WernerCenter for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway.
Camilla KrakstadDepartment of Gynecology and Obstetrics, Haukeland University Hospital, Norway.
Ingfrid S HaldorsenDepartment of Radiology, Haukeland University Hospital, Norway.
University of Bergen · NOHaukeland University Hospital · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypoxia is frequent in solid tumors and linked to aggressive phenotypes and therapy resistance. We explored expression patterns of the proposed hypoxia marker HIF-1α in endometrial cancer (EC) and investigate whether preoperative functional imaging parameters are associated with tumor hypoxia. Expression of HIF-1α was explored both in the epithelial and the stromal tumor component. We found that low epithelial HIF-1α and high stromal HIF-1α expression were significantly associated with reduced disease specific survival in EC. Only stromal HIF-1α had independent prognostic value in Cox regression analysis. High stromal HIF-1α protein expression was rare in the premalignant lesions of complex atypical hyperplasia but increased significantly to invasive cancer. High stromal HIF-1α expression was correlated with overexpression of important genes downstream from HIF-1α, i.e. VEGFA and SLC2A1 (GLUT1). Detecting hypoxic tumors with preoperative functional imaging might have therapeutic benefits. We found that high stromal HIF-1α expression associated with high total lesion glycolysis (TLG) at PET/CT. High expression of a gene signature linked to hypoxia also correlated with low tumor blood flow at DCE-MRI and increased metabolism measured by FDG-PET. PI3K pathway inhibitors were identified as potential therapeutic compounds in patients with lesions overexpressing this gene signature. In conclusion, we show that high stromal HIF-1α expression predicts reduced survival in EC and is associated with increased tumor metabolism at FDG-PET/CT. Importantly; we demonstrate a correlation between tissue and imaging biomarkers reflecting hypoxia, and also possible treatment targets for selected patients.

Indexed as

BiomarkersCancer-Associated FibroblastsCell CycleCell HypoxiaEndometrial NeoplasmsFemaleFluorodeoxyglucose F18HumansHypoxia-Inducible Factor 1, alpha SubunitMiddle AgedPositron Emission Tomography Computed TomographyBiomarkersFluorodeoxyglucose F18Hypoxia-Inducible Factor 1, alpha Subunitendometrial carcinomaendometrial hyperplasiaFDG-PET/CTHIF-1αMRI

Identifiers

PMID27634881
PMCPMC5342519
OpenAlexW2518797427

What OpenQuestion holds

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LicenceCC BY
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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.