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Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysis

Norris, Joseph M., Simpson, Benjamin S., Parry, Marina A., Allen, Clare, Ball, Rhys, Freeman, Alex, Kelly, Daniel, Kirkham, Alex, Kasivisvanathan, Veeru, Whitaker, Hayley C and Emberton, Mark 2020. Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysis. BMJ Open 10 (1) , e034611. 10.1136/bmjopen-2019-034611

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Abstract

Download PDFPDF Urology Protocol Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysis Joseph M Norris1, Benjamin S Simpson1, Marina A Parry2, Clare Allen3, Rhys Ball4, Alex Freeman4, Daniel Kelly5, Alex Kirkham3, Veeru Kasivisvanathan1, Hayley C Whitaker1, Mark Emberton1 Author affiliations Abstract Introduction The introduction of multiparametric MRI (mpMRI) has enabled enhanced risk stratification for men at risk of prostate cancer, through accurate prebiopsy identification of clinically significant disease. However, approximately 10%–20% of significant prostate cancer may be missed on mpMRI. It appears that the genomic basis of lesion visibility or invisibility on mpMRI may have key implications for prognosis and treatment. Here, we describe a protocol for the first systematic review and novel bioinformatic analysis of the genomic basis of prostate cancer conspicuity on mpMRI. Methods and analysis A systematic search of MEDLINE, PubMed, EMBASE and Cochrane databases will be conducted. Screening, data extraction, statistical analysis and reporting will be performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Included papers will be full text articles, written between January 1980 and December 2019, comparing molecular characteristics of mpMRI-visible lesions and mpMRI-invisible lesions at the DNA, DNA-methylation, RNA or protein level. Study bias and quality will be assessed using a modified Newcastle-Ottawa score. Additionally, we will conduct a novel bioinformatic analysis of supplementary material and publicly available data, to combine transcriptomic data and reveal common pathways highlighted across studies. To ensure methodological rigour, this protocol is written in accordance with the PRISMA Protocol 2015 checklist. Ethics and dissemination Ethical approval will not be required, as this is an academic review of published literature. Findings will be disseminated through publications in peer-reviewed journals, and presentations at national and international conferences.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Healthcare Sciences
Publisher: BMJ Publishing Group
ISSN: 2044-6055
Date of First Compliant Deposit: 31 January 2020
Date of Acceptance: 9 January 2020
Last Modified: 31 Jan 2020 11:45
URI: http://orca-mwe.cf.ac.uk/id/eprint/129171

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