Evidence map›Paper›PMID 33000006›Full record

ReviewEuropean urology open science2020

Genetic Landscape of Prostate Cancer Conspicuity on Multiparametric Magnetic Resonance Imaging: A Systematic Review and Bioinformatic Analysis.

Joseph M Norris, Benjamin S Simpson, Marina A Parry, Clare Allen, Rhys Ball, Alex Freeman, Daniel Kelly, Hyung L Kim, Alex Kirkham, Sungyong You and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in European urology open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 43 citations in OpenAlex.

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  15. The Role of [Cancers · 2022
    Review
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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

13 authors at 5 institutions in 2 countries.

Joseph M NorrisUCL Division of Surgery & Interventional Science, University College London, London, UK.
Benjamin S SimpsonUCL Division of Surgery & Interventional Science, University College London, London, UK.
Marina A ParryUCL Cancer Institute, University College London, London, UK.
Clare AllenDepartment of Radiology, University College London Hospitals NHS Foundation Trust, London, UK.
Rhys BallDepartment of Pathology, University College London Hospitals NHS Foundation Trust, London, UK.
Alex FreemanDepartment of Pathology, University College London Hospitals NHS Foundation Trust, London, UK.
Daniel KellySchool of Healthcare Sciences, Cardiff University, Wales, UK.
Hyung L KimDepartment of Urology, Cedars-Sinai Medical Center, West Hollywood, CA, USA.
Alex KirkhamDepartment of Radiology, University College London Hospitals NHS Foundation Trust, London, UK.
Sungyong YouDepartment of Urology, Cedars-Sinai Medical Center, West Hollywood, CA, USA.
Veeru KasivisvanathanUCL Division of Surgery & Interventional Science, University College London, London, UK.
Hayley C WhitakerUCL Division of Surgery & Interventional Science, University College London, London, UK.
Mark EmbertonUCL Division of Surgery & Interventional Science, University College London, London, UK.
University College London · GBCedars-Sinai Medical Center · USUniversity College London Hospitals NHS Foundation Trust · GBCardiff University · GBLondon Postgraduate Medical and Dental Education · GB

Funding

Medical Research Council MR/S00680X/1
6 · The paper itself

Abstract

contextMultiparametric magnetic resonance imaging (mpMRI) detects most, but not all, clinically significant prostate cancer. The genetic basis of prostate cancer visibility and invisibility on mpMRI remains uncertain.

objectiveTo systematically review the literature on differential gene expression between mpMRI-visible and mpMRI-invisible prostate cancer, and to use bioinformatic analysis to identify enriched processes or cellular components in genes validated in more than one study. EVIDENCE ACQUISITION: We performed a systematic literature search of the Medline, EMBASE, PubMed, and Cochrane databases up to January 2020 in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. The primary endpoint was differential genetic features between mpMRI-visible and mpMRI-invisible tumours. Secondary endpoints were explanatory links between gene function and mpMRI conspicuity, and the prognostic value of differential gene enrichment. EVIDENCE SYNTHESIS: We retrieved 445 articles, of which 32 met the criteria for inclusion. Thematic synthesis from the included studies showed that mpMRI-visible cancer tended towards enrichment of molecular features associated with increased disease aggressivity, including phosphatase and tensin homologue (

conclusionsProstate cancer that is visible on mpMRI is generally enriched with molecular features of tumour development and aggressivity, including activation of proliferative signalling, DNA damage, and inflammatory processes. Additionally, there appears to be concordant cellular components and biological processes associated with mpMRI conspicuity, as highlighted by bioinformatic analysis of large genetic datasets. PATIENT SUMMARY: Prostate cancer that is detected by magnetic resonance imaging (MRI) tends to have genetic features that are associated with more aggressive disease. This suggests that MRI can be used to assess the likelihood of aggressive prostate cancer, based on tumour visibility.

Indexed as

Bioinformatic analysisGeneticsGenomicsMultiparametric magnetic resonance imagingProstate cancerSystematic review

Identifiers

PMID33000006
PMCPMC7497895
OpenAlexW3048873723

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.