Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysis
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....
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| Format: | Article |
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BMJ Publishing Group
2020-01-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/10/1/e034611.full |
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| author | Clare Allen Alex Freeman Mark Emberton Daniel Kelly Joseph M Norris Benjamin S Simpson Marina A Parry Rhys Ball Alex Kirkham Veeru Kasivisvanathan Hayley C Whitaker |
| author_facet | Clare Allen Alex Freeman Mark Emberton Daniel Kelly Joseph M Norris Benjamin S Simpson Marina A Parry Rhys Ball Alex Kirkham Veeru Kasivisvanathan Hayley C Whitaker |
| author_sort | Clare Allen |
| collection | DOAJ |
| description | 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.PROSPERO registration number CRD42019147423. |
| format | Article |
| id | doaj-art-48536d29c32b4a57866b57f5fa29ee51 |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-48536d29c32b4a57866b57f5fa29ee512024-12-06T18:35:09ZengBMJ Publishing GroupBMJ Open2044-60552020-01-0110110.1136/bmjopen-2019-034611Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysisClare Allen0Alex Freeman1Mark Emberton2Daniel Kelly3Joseph M Norris4Benjamin S Simpson5Marina A Parry6Rhys Ball7Alex Kirkham8Veeru Kasivisvanathan9Hayley C Whitaker10Department of Radiology, University College London Hospitals NHS Foundation Trust, London, UKDepartment of Pathology, University College London Hospitals NHS Foundation Trust, London, UKDepartment of Urology, University College London Hospitals NHS Foundation Trust, London, UKSchool of Healthcare Sciences, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UKDepartment of Urology, University College London Hospitals NHS Foundation Trust, London, UKUCL Cancer Institute, University College London, London, UKUCL Cancer Institute, University College London, London, UKDepartment of Pathology, University College London Hospitals NHS Foundation Trust, London, London, UKDepartment of Radiology, University College London Hospitals NHS Foundation Trust, London, UKDivision Of Surgery and Interventional Sciences, University College London, London, UKUCL Division of Surgery and Interventional Science, University College London, London, UKIntroduction 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.PROSPERO registration number CRD42019147423.https://bmjopen.bmj.com/content/10/1/e034611.full |
| spellingShingle | Clare Allen Alex Freeman Mark Emberton Daniel Kelly Joseph M Norris Benjamin S Simpson Marina A Parry Rhys Ball Alex Kirkham Veeru Kasivisvanathan Hayley C Whitaker Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysis BMJ Open |
| title | Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysis |
| title_full | Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysis |
| title_fullStr | Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysis |
| title_full_unstemmed | Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysis |
| title_short | Genetic landscape of prostate cancer conspicuity on multiparametric MRI: a protocol for a systematic review and bioinformatic analysis |
| title_sort | genetic landscape of prostate cancer conspicuity on multiparametric mri a protocol for a systematic review and bioinformatic analysis |
| url | https://bmjopen.bmj.com/content/10/1/e034611.full |
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