Evidence map›Paper›PMID 28566330›Full record

ArticleCancer research2017

Monitoring the Vascular Response and Resistance to Sunitinib in Renal Cell Carcinoma

Simon P Robinson, Jessica K R Boult, Naveen S Vasudev, Andrew R Reynolds

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 3 countries.

Simon P RobinsonCancer Research UK Cancer Imaging Centre, Division of Radiotherapy & Imaging, The Institute of Cancer Research, London, United Kingdom. Simon.Robinson@icr.ac.uk.
Jessica K R BoultCancer Research UK Cancer Imaging Centre, Division of Radiotherapy & Imaging, The Institute of Cancer Research, London, United Kingdom.
Naveen S VasudevTumour Biology Team, The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, United Kingdom.
Andrew R ReynoldsTumour Biology Team, The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, United Kingdom.
Breast Cancer Now · GBInstitute of Cancer Research · GB

Funding

Cancer Research UK 16464Cancer Research UK C1090/A16464Department of Health
6 · The paper itself

Abstract

Antiangiogenic therapy is efficacious in metastatic renal cell carcinoma (mRCC). However, the ability of antiangiogenic drugs to delay tumor progression and extend survival is limited, due to either innate or acquired drug resistance. Furthermore, there are currently no validated biomarkers that predict which mRCC patients will benefit from antiangiogenic therapy. Here, we exploit susceptibility contrast MRI (SC-MRI) using intravascular ultrasmall superparamagnetic iron oxide particles to quantify and evaluate tumor fractional blood volume (fBV) as a noninvasive imaging biomarker of response to the antiangiogenic drug sunitinib. We also interrogate the vascular phenotype of RCC xenografts exhibiting acquired resistance to sunitinib. SC-MRI of 786-0 xenografts prior to and 2 weeks after daily treatment with 40 mg/kg sunitinib revealed a 71% (

Indexed as

Angiogenesis InhibitorsAnimalsAntineoplastic AgentsCarcinoma, Renal CellCell Line, TumorContrast MediaDextransDrug Resistance, NeoplasmFemaleHumansImage Processing, Computer-AssistedImmunohistochemistryIndolesKidney NeoplasmsMagnetic Resonance ImagingMagnetite NanoparticlesAngiogenesis InhibitorsAntineoplastic AgentsContrast MediaDextransferumoxtran-10IndolesMagnetite NanoparticlesPyrrolesSunitinib

Identifiers

PMID28566330
PMCPMC6175052
OpenAlexW2620195912

What OpenQuestion holds

Textmetadata
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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.