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The ReIMAGINE prostate cancer risk study protocol: A prospective cohort study in men with a suspicion of prostate cancer who are referred onto an MRI-based diagnostic pathway with donation of tissue, blood and urine for biomarker analyses.
- Source :
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PloS one [PLoS One] 2022 Feb 24; Vol. 17 (2), pp. e0259672. Date of Electronic Publication: 2022 Feb 24 (Print Publication: 2022). - Publication Year :
- 2022
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Abstract
- Introduction: The ReIMAGINE Consortium was conceived to develop risk-stratification models that might incorporate the full range of novel prostate cancer (PCa) diagnostics (both commercial and academic).<br />Methods: ReIMAGINE Risk is an ethics approved (19/LO/1128) multicentre, prospective, observational cohort study which will recruit 1000 treatment-naive men undergoing a multi-parametric MRI (mpMRI) due to an elevated PSA (≤20ng/ml) or abnormal prostate examination who subsequently had a suspicious mpMRI (score≥3, stage ≤T3bN0M0). Primary outcomes include the detection of ≥Gleason 7 PCa at baseline and time to clinical progression, metastasis and death. Baseline blood, urine, and biopsy cores for fresh prostate tissue samples (2 targeted and 1 non-targeted) will be biobanked for future analysis. High-resolution scanning of pathology whole-slide imaging and MRI-DICOM images will be collected. Consortium partners will be granted access to data and biobanks to develop and validate biomarkers using correlation to mpMRI, biopsy-based disease status and long-term clinical outcomes.<br />Results: Recruitment began in September 2019(n = 533). A first site opened in September 2019 (n = 296), a second in November 2019 (n = 210) and a third in December 2020 (n = 27). Acceptance to the study has been 65% and a mean of 36.5ml(SD+/-10.0), 12.9ml(SD+/-3.7) and 2.8ml(SD+/-0.7) urine, plasma and serum donated for research, respectively. There are currently 4 academic and 15 commercial partners spanning imaging (~9 radiomics, artificial intelligence/machine learning), fluidic (~3 blood-based and ~2urine-based) and tissue-based (~1) biomarkers.<br />Conclusion: The consortium will develop, or adjust, risk models for PCa, and provide a platform for evaluating the role of novel diagnostics in the era of pre-biopsy MRI and targeted biopsy.<br />Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: Hashim U Ahmed receives grant funding from Sonacare Inc., Sophiris Biocorp and Boston commercial entities. Hashim U Ahmed is awarded academic funds from the MRC, CRUK, The Wellcome Trust, The British Medical Association (BMA), The Urology Foundaiton (TUF), Prostate Cancer U.K. (PCUK) and Imperial Health. Mark Emberton serves as a consultant/educator/trainer to Sonacare Inc., Exact Imaging, Angiodynamics Inc and Profound Medical. Acknowledgements - Mark Emberton receives research support from the United Kingdom’s National Institute of Health Research (NIHR) UCLH/UCL Biomedical Research Centre. Caroline M Moore receives funding from the Prostate Cancer UK, Movember, the Medical Research Council, Cancer Research UK and the NIHR. She receives fees for HIFU proctoring from SonaCare. She has received speaker fees from Astellas, and Jannsen. She carries out research into photodyanamic therapy supported by Spectracure. Shonit Punwani receives research support from the United Kingdom’s National Institute of Health Research (NIHR) UCLH/UCL Biomedical Research Centre Ton Coolen receives funding from Cancer Research UK and is Director of Saddle Point Science Ltd. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
- Subjects :
- Aged
Biomarkers, Tumor blood
Biomarkers, Tumor urine
Humans
Image-Guided Biopsy
Male
Middle Aged
Neoplasm Grading
Prostate pathology
Prostatic Neoplasms blood
Prostatic Neoplasms pathology
Prostatic Neoplasms urine
Risk Factors
Ultrasonography, Interventional
Artificial Intelligence
Multiparametric Magnetic Resonance Imaging
Prostate diagnostic imaging
Prostatic Neoplasms diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1932-6203
- Volume :
- 17
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- PloS one
- Publication Type :
- Academic Journal
- Accession number :
- 35202397
- Full Text :
- https://doi.org/10.1371/journal.pone.0259672