Evidence map›Paper›PMID 32580139›Full record

Observational studyEBioMedicine2020

Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity.

Christina S Fjeldbo, Tord Hompland, Tiril Hillestad, Eva-Katrine Aarnes, Clara-Cecilie Günther, Gunnar B Kristensen, Eirik Malinen, Heidi Lyng

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in EBioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  6. A novel lineage-tracing tool reveals that hypoxic tumor cells drive tumor relapse after radiotherapy.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2025
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  14. Pretreatment [Diagnostics (Basel, Switzerland) · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Christina S FjeldboDepartment of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway.
Tord HomplandDepartment of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway; Department of Core Facilities, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway.
Tiril HillestadDepartment of Core Facilities, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway.
Eva-Katrine AarnesDepartment of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway.
Clara-Cecilie GüntherNorwegian Computing Center, Gaustadalléen 23A, 0373 Oslo, Norway.
Gunnar B KristensenDepartment of Gynaecologic Oncology, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway; Institute for Cancer Genetics and Informatics, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway.
Eirik MalinenDepartment of Medical Physics, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway; Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway.
Heidi LyngDepartment of Radiation Biology, Norwegian Radium Hospital, Oslo University Hospital, Ullernchausseen 70, 0379 Oslo, Norway; Department of Physics, University of Oslo, Sem Sælands vei 24, 0371 Oslo, Norway. Electronic address: heidi.lyng@rr-research.no.
Oslo University Hospital · NONorwegian Computing Center · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging biomarkers from medical imaging or molecular characterization of tumour biopsies open up for combining the two and exploiting their synergy in treatment planning of cancer patients. We generated a paired data set of imaging- and gene-based hypoxia biomarkers in cervical cancer, appraised the influence of intratumour heterogeneity in patient classification, and investigated the benefit of combining the methodologies in prediction of chemoradiotherapy failure.

methodsHypoxic fraction from dynamic contrast enhanced (DCE)-MR images and an expression signature of six hypoxia-responsive genes were assessed as imaging- and gene-based biomarker, respectively in 118 patients.

findingsDichotomous biomarker cutoff to yield similar hypoxia status by imaging and genes was defined in 41 patients, and the association was validated in the remaining 77 patients. The two biomarkers classified 75% of 118 patients with the same hypoxia status, and inconsistent classification was not related to imaging-defined intratumour heterogeneity in hypoxia. Gene-based hypoxia was independent on tumour cell fraction in the biopsies and showed minor heterogeneity across multiple samples in 9 tumours. Combining imaging- and gene-based classification gave a significantly better prediction of PFS than one biomarker alone. A combined dichotomous biomarker optimized in 77 patients showed a large separation in PFS between more and less hypoxic tumours, and separated the remaining 41 patients with different PFS. The combined biomarker showed prognostic value together with tumour stage in multivariate analysis.

interpretationCombining imaging- and gene-based biomarkers may enable more precise and informative assessment of hypoxia-related chemoradiotherapy resistance in cervical cancer.

fundingNorwegian Cancer Society, South-Eastern Norway Regional Health Authority, and Norwegian Research Council.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorChemoradiotherapyDiagnostic ImagingFemaleGene Expression ProfilingHumansMiddle AgedNeoplasm ProteinsNorwayPrognosisProgression-Free SurvivalTreatment OutcomeTumor HypoxiaBiomarkers, TumorNeoplasm ProteinsCervical cancerGene expression signatureHypoxiaIntratumour heterogeneityMedical imagingPrognostic biomarker

Identifiers

PMID32580139
PMCPMC7317686
OpenAlexW3036219845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.