Evidence map›Paper›PMID 29100521›Full record

ArticleJournal of translational medicine2017

DCE-MRI of patient-derived xenograft models of uterine cervix carcinoma: associations with parameters of the tumor microenvironment.

Anette Hauge, Catherine S Wegner, Jon-Vidar Gaustad, Trude G Simonsen, Lise Mari K Andersen, Einar K Rofstad

Abstract read
In one paragraph

Article in Journal of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  4. Correlation of KJournal for immunotherapy of cancer · 2024
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  14. Oxygen Sensing, Hypoxia Tracing andFrontiers in chemistry · 2018
    Review
  15. 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.

Anette HaugeGroup of Radiation Biology and Tumor Physiology, Department of Radiation Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, P. O. Box 4953 Nydalen, 0424, Oslo, Norway.
Catherine S WegnerGroup of Radiation Biology and Tumor Physiology, Department of Radiation Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, P. O. Box 4953 Nydalen, 0424, Oslo, Norway.
Jon-Vidar GaustadGroup of Radiation Biology and Tumor Physiology, Department of Radiation Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, P. O. Box 4953 Nydalen, 0424, Oslo, Norway.
Trude G SimonsenGroup of Radiation Biology and Tumor Physiology, Department of Radiation Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, P. O. Box 4953 Nydalen, 0424, Oslo, Norway.
Lise Mari K AndersenGroup of Radiation Biology and Tumor Physiology, Department of Radiation Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, P. O. Box 4953 Nydalen, 0424, Oslo, Norway.
Einar K RofstadGroup of Radiation Biology and Tumor Physiology, Department of Radiation Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, P. O. Box 4953 Nydalen, 0424, Oslo, Norway. einar.k.rofstad@rr-research.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormalities in the tumor microenvironment are associated with resistance to treatment, aggressive growth, and poor clinical outcome in patients with advanced cervical cancer. The potential of dynamic contrast-enhanced (DCE) MRI to assess the microvascular density (MVD), interstitial fluid pressure (IFP), and hypoxic fraction of patient-derived cervical cancer xenografts was investigated in the present study.

methodsFour patient-derived xenograft (PDX) models of squamous cell carcinoma of the uterine cervix (BK-12, ED-15, HL-16, and LA-19) were subjected to Gd-DOTA-based DCE-MRI using a 7.05 T preclinical scanner. Parametric images of the volume transfer constant (K

resultsBoth on the PDX model level and the single tumor level, a significant inverse correlation was found between K

conclusionsDCE-MRI may provide valuable information on the hypoxic fraction of squamous cell carcinoma of the uterine cervix, and thereby facilitate individualized patient management.

Indexed as

Magnetic Resonance ImagingTumor MicroenvironmentAnimalsContrast MediaFemaleHeterocyclic CompoundsHumansMice, Inbred BALB CMice, NudeMicrovesselsOrganometallic CompoundsUterine Cervical NeoplasmsContrast Mediagadolinium 1,4,7,10-tetraazacyclododecane-N,N',N'',N'''-tetraacetateHeterocyclic CompoundsOrganometallic CompoundsCervical carcinomaDCE-MRIHypoxiaPDX modelsTumor microenvironment

Identifiers

PMID29100521
PMCPMC5670634

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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.