Literature DB >> 30237023

A Prospective Adaptive Utility Trial to Validate Performance of a Novel Urine Exosome Gene Expression Assay to Predict High-grade Prostate Cancer in Patients with Prostate-specific Antigen 2-10ng/ml at Initial Biopsy.

James McKiernan1, Michael J Donovan2, Eric Margolis3, Alan Partin4, Ballentine Carter4, Gordon Brown5, Phillipp Torkler6, Mikkel Noerholm6, Johan Skog7, Neal Shore8, Gerry Andriole9, Ian Thompson10, Peter Carroll11.   

Abstract

BACKGROUND: Discriminating indolent from clinically significant prostate cancer (PCa) in the initial biopsy setting remains an important issue. Prospectively evaluated diagnostic assays are necessary to ensure efficacy and clinical adoption.
OBJECTIVE: Performance and utility assessment of ExoDx Prostate (IntelliScore) (EPI) urine exosome gene expression assay versus standard clinical parameters for discriminating Grade Group (GG) ≥2 PCa from GG1 PCa and benign disease on initial biopsy. DESIGN, SETTING, AND PARTICIPANTS: A two-phase adaptive clinical utility study (NCT03031418) comparing EPI results with biopsy outcomes in men, with age ≥50 yr and prostate-specific antigen (PSA) 2-10ng/ml, scheduled for initial prostate biopsy. After EPI performance assessment during phase I, a clinical implementation document (ie, CarePath) was developed for utilizing the EPI test in phase II, where the biopsy decision is uncertain. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Performance evaluation of the EPI test in patients enrolled in phase I and publication of a consensus CarePath for phase II. RESULTS AND LIMITATIONS: In a total of 503 patients, with median age of 64 yr, median PSA 5.4ng/ml, 14% African American, 70% Caucasian, 53% positive biopsy rate (22% GG1, 17% GG2, and 15% ≥ GG3), EPI was superior to an optimized model of standard clinical parameters with an area under the curve (AUC) 0.70 versus 0.62, respectively, comparable with previously published results (n=519 patients, EPI AUC 0.71). Validated cut-point 15.6 would avoid 26% of unnecessary prostate biopsies and 20% of total biopsies, with negative predictive value (NPV) 89% and missing 7% of ≥GG2 PCa. Alternative cut-point 20 would avoid 40% of unnecessary biopsies and 31% of total biopsies, with NPV 89% and missing 11% of ≥GG2 PCa. The clinical investigators reached consensus recommending use of the 15.6 cut-point for phase II. Outcome of the decision impact cohort in phase II will be reported separately.
CONCLUSIONS: EPI is a noninvasive, easy-to-use, gene expression urine assay, which has now been successfully validated in over 1000 patients across two prospective validation trials to stratify risk of ≥GG2 from GG1 cancer and benign disease. The test improves identification of patients with higher grade disease and would reduce the total number of unnecessary biopsies. PATIENT
SUMMARY: It is challenging to predict which men are likely to have high-grade prostate cancer (PCa) at initial biopsy with prostate-specific antigen 2-10ng/ml. This study further demonstrates that the ExoDx Prostate (IntelliScore) test can predict ≥GG2 PCa at initial biopsy and defer unnecessary biopsies better than existing risk calculator's and standard clinical data.
Copyright © 2018 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Exosomes; Extended validation study; High grade prostate cancer; Initial biopsy; Prostate cancer; Risk assessment tools

Mesh:

Substances:

Year:  2018        PMID: 30237023     DOI: 10.1016/j.eururo.2018.08.019

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  64 in total

Review 1.  Extracellular vesicles as cancer liquid biopsies: from discovery, validation, to clinical application.

Authors:  Zhen Zhao; Jia Fan; Yen-Michael S Hsu; Christopher J Lyon; Bo Ning; Tony Y Hu
Journal:  Lab Chip       Date:  2019-03-27       Impact factor: 6.799

2.  Assessment of separation methods for extracellular vesicles from human and mouse brain tissues and human cerebrospinal fluids.

Authors:  Satoshi Muraoka; Weiwei Lin; Mei Chen; Samuel W Hersh; Andrew Emili; Weiming Xia; Tsuneya Ikezu
Journal:  Methods       Date:  2020-02-05       Impact factor: 3.608

3.  Urine Extracellular Vesicle GATA2 mRNA Discriminates Biopsy Result in Men with Suspicion of Prostate Cancer.

Authors:  J Woo; S Santasusagna; J Banks; S Pastor-Lopez; K Yadav; M Carceles-Cordon; A Dominguez-Andres; R B Den; L R Languino; R Pippa; C D Lallas; G Lu-Yao; W K Kelly; K E Knudsen; V Rodriguez-Bravo; A K Tewari; J M Prats; B E Leiby; L G Gomella; Josep Domingo-Domenech
Journal:  J Urol       Date:  2020-04-06       Impact factor: 7.450

Review 4.  From laboratory to clinic: Translation of extracellular vesicle based cancer biomarkers.

Authors:  Anudeep Yekula; Koushik Muralidharan; Keiko M Kang; Lan Wang; Leonora Balaj; Bob S Carter
Journal:  Methods       Date:  2020-02-12       Impact factor: 3.608

Review 5.  Liquid Biopsy Strategies to Distinguish Progression from Pseudoprogression and Radiation Necrosis in Glioblastomas.

Authors:  Anudeep Yekula; Koushik Muralidharan; Zachary S Rosh; Anna E Youngkin; Keiko M Kang; Leonora Balaj; Bob S Carter
Journal:  Adv Biosyst       Date:  2020-06-02

Review 6.  All change in the prostate cancer diagnostic pathway.

Authors:  Derek J Lomas; Hashim U Ahmed
Journal:  Nat Rev Clin Oncol       Date:  2020-02-28       Impact factor: 66.675

Review 7.  Extracellular vesicles in urological malignancies: an update.

Authors:  Johannes Linxweiler; Kerstin Junker
Journal:  Nat Rev Urol       Date:  2019-12-11       Impact factor: 14.432

Review 8.  How should radiologists incorporate non-imaging prostate cancer biomarkers into daily practice?

Authors:  Pawel Rajwa; Jamil Syed; Michael S Leapman
Journal:  Abdom Radiol (NY)       Date:  2020-12

Review 9.  Advances in the selection of patients with prostate cancer for active surveillance.

Authors:  James L Liu; Hiten D Patel; Nora M Haney; Jonathan I Epstein; Alan W Partin
Journal:  Nat Rev Urol       Date:  2021-02-23       Impact factor: 14.432

10.  Discovery and Validation of a Urinary Exosome mRNA Signature for the Diagnosis of Human Kidney Transplant Rejection.

Authors:  Rania El Fekih; James Hurley; Vasisht Tadigotla; Areej Alghamdi; Anand Srivastava; Christine Coticchia; John Choi; Hazim Allos; Karim Yatim; Juliano Alhaddad; Siawosh Eskandari; Philip Chu; Albana B Mihali; Isadora T Lape; Mauricio P Lima Filho; Bruno T Aoyama; Anil Chandraker; Kassem Safa; James F Markmann; Leonardo V Riella; Richard N Formica; Johan Skog; Jamil R Azzi
Journal:  J Am Soc Nephrol       Date:  2021-03-03       Impact factor: 10.121

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