PEOPLE: PatiEnt prOstate samPLes for rEsearch, a tissue collection pathway utilizing magnetic resonance imaging data to target tumor and benign tissue in fresh radical prostatectomy specimens.


Journal

The Prostate
ISSN: 1097-0045
Titre abrégé: Prostate
Pays: United States
ID NLM: 8101368

Informations de publication

Date de publication:
05 2019
Historique:
received: 16 11 2018
accepted: 07 02 2019
pubmed: 27 2 2019
medline: 14 1 2020
entrez: 27 2 2019
Statut: ppublish

Résumé

Over 1 million men are diagnosed with prostate cancer each year worldwide, with a wide range of research programs requiring access to patient tissue samples for development of improved diagnoses and treatments. A random sampling of prostate tissue is sufficient for certain research studies; however, there is growing research need to target areas of the aggressive tumor as fresh tissue. Here we set out to develop a new pathway "PEOPLE: PatiEnt prOstate samPLes for rEsearch" to collect high-quality fresh tissue for research use, using magnetic resonance imaging (MRI) to target areas of tumor and benign tissue. Prostate tissue was sampled following robotic radical prostatectomy, using MRI data to target areas of benign and tumor tissue. Initially, 25 cases were sampled using MRI information from clinical notes. A further 59 cases were sampled using an optimized method that included specific MRI measurements of tumor location along with additional exclusion criteria. All cases were reviewed in batches with detailed clinical and histopathological data recorded. For one subset of samples, DNA was extracted and underwent quality control. Ex vivo culture was carried out using the gelatin sponge method for an additional subset. Tumor was successfully fully or partially targeted in 64% of the initial cohort and 70% of the optimized cohort. DNA of high quality and concentration was isolated from 39 tumor samples, and ex vivo culture was successfully carried out in three cases with tissue morphology, proliferation, and apoptosis remaining comparable before and after 72 hours culture. Here we report initial data from the PEOPLE pathway; using a method for targeting areas of tumor within prostate samples using MRI. This method operates alongside the standard clinical pathway and minimizes additional input from surgical, radiological, and pathological teams, while preserving surgical margins and diagnostic tissue.

Sections du résumé

BACKGROUND
Over 1 million men are diagnosed with prostate cancer each year worldwide, with a wide range of research programs requiring access to patient tissue samples for development of improved diagnoses and treatments. A random sampling of prostate tissue is sufficient for certain research studies; however, there is growing research need to target areas of the aggressive tumor as fresh tissue. Here we set out to develop a new pathway "PEOPLE: PatiEnt prOstate samPLes for rEsearch" to collect high-quality fresh tissue for research use, using magnetic resonance imaging (MRI) to target areas of tumor and benign tissue.
METHODS
Prostate tissue was sampled following robotic radical prostatectomy, using MRI data to target areas of benign and tumor tissue. Initially, 25 cases were sampled using MRI information from clinical notes. A further 59 cases were sampled using an optimized method that included specific MRI measurements of tumor location along with additional exclusion criteria. All cases were reviewed in batches with detailed clinical and histopathological data recorded. For one subset of samples, DNA was extracted and underwent quality control. Ex vivo culture was carried out using the gelatin sponge method for an additional subset.
RESULTS
Tumor was successfully fully or partially targeted in 64% of the initial cohort and 70% of the optimized cohort. DNA of high quality and concentration was isolated from 39 tumor samples, and ex vivo culture was successfully carried out in three cases with tissue morphology, proliferation, and apoptosis remaining comparable before and after 72 hours culture.
CONCLUSION
Here we report initial data from the PEOPLE pathway; using a method for targeting areas of tumor within prostate samples using MRI. This method operates alongside the standard clinical pathway and minimizes additional input from surgical, radiological, and pathological teams, while preserving surgical margins and diagnostic tissue.

Identifiants

pubmed: 30807665
doi: 10.1002/pros.23782
pmc: PMC6618051
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

768-777

Subventions

Organisme : Prostate Cancer UK
ID : PG14-018-TR2
Pays : United Kingdom
Organisme : Prostate Cancer UK
ID : Centre of Excellence
Pays : United Kingdom
Organisme : Department of Health
ID : Biomedical Research Centre
Pays : United Kingdom
Organisme : Prostate Cancer UK
ID : TLD-PF16-004
Pays : United Kingdom

Informations de copyright

© 2019 Wiley Periodicals, Inc.

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Auteurs

Susan Heavey (S)

Molecular Diagnostics and Therapeutics Group, University College London, London, UK.

Helena Costa (H)

Research Department of Pathology, University College London, London, UK.

Hayley Pye (H)

Molecular Diagnostics and Therapeutics Group, University College London, London, UK.

Emma C Burt (EC)

Department of Molecular Haematology, Barts Health NHS Trust, The Royal London Hospital, London, UK.

Sophia Jenkinson (S)

Research Department of Pathology, University College London, London, UK.

Georgina-Rose Lewis (GR)

Research Department of Pathology, University College London, London, UK.

Leticia Bosshard-Carter (L)

Research Department of Pathology, University College London, London, UK.

Fran Watson (F)

Research Department of Pathology, University College London, London, UK.

Charles Jameson (C)

Research Department of Pathology, University College London, London, UK.

Marzena Ratynska (M)

Research Department of Pathology, University College London, London, UK.

Imen Ben-Salha (I)

Research Department of Pathology, University College London, London, UK.

Aiman Haider (A)

Research Department of Pathology, University College London, London, UK.

Edward W Johnston (EW)

Centre for Medical Imaging, University College London, London, UK.

Andrew Feber (A)

Divison of Surgery and Interventional Sciences, University College London, London, UK.

Greg Shaw (G)

Department of Uro-Oncology, UCLH NHS Foundation Trust, London, UK.

Ashwin Sridhar (A)

Department of Uro-Oncology, UCLH NHS Foundation Trust, London, UK.

Senthil Nathan (S)

Department of Uro-Oncology, UCLH NHS Foundation Trust, London, UK.

Prabhakar Rajan (P)

Department of Uro-Oncology, UCLH NHS Foundation Trust, London, UK.

Timothy P Briggs (TP)

Department of Uro-Oncology, UCLH NHS Foundation Trust, London, UK.
Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, London, UK.

Prasanna Sooriakumaran (P)

Department of Uro-Oncology, UCLH NHS Foundation Trust, London, UK.

John D Kelly (JD)

Department of Uro-Oncology, UCLH NHS Foundation Trust, London, UK.

Alex Freeman (A)

Research Department of Pathology, University College London, London, UK.

Hayley C Whitaker (HC)

Molecular Diagnostics and Therapeutics Group, University College London, London, UK.

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Classifications MeSH