Literature DB >> 33922626

SelectMDx and Multiparametric Magnetic Resonance Imaging of the Prostate for Men Undergoing Primary Prostate Biopsy: A Prospective Assessment in a Multi-Institutional Study.

Martina Maggi1, Francesco Del Giudice1, Ugo G Falagario2, Andrea Cocci3, Giorgio Ivan Russo4, Marina Di Mauro4, Giuseppe Salvatore Sepe5, Fabio Galasso6, Rosario Leonardi7, Gabriele Iacona8, Peter R Carroll9, Matthew R Cooperberg9, Angelo Porreca10, Matteo Ferro11, Giuseppe Lucarelli12, Daniela Terracciano13, Luigi Cormio2, Giuseppe Carrieri2, Ettore De Berardinis1, Alessandro Sciarra1, Gian Maria Busetto2.   

Abstract

Prostate-specific antigen (PSA) testing as the sole indication for prostate biopsy lacks specificity, resulting in overdiagnosis of indolent prostate cancer (PCa) and missing clinically significant PCa (csPCa). SelectMDx is a biomarker-based risk score to assess urinary HOXC6 and DLX1 mRNA expression combined with traditional clinical risk factors. The aim of this prospective multi-institutional study was to evaluate the diagnostic accuracy of SelectMDx and its association with multiparametric magnetic resonance (mpMRI) when predicting PCa in prostate biopsies. Overall, 310 consecutive subjects were included. All patients underwent mpMRI and SelectMDx prior to prostate biopsy. SelectMDx and mpMRI showed sensitivity and specificity of 86.5% vs. 51.9%, and 73.8% vs. 88.3%, respectively, in predicting PCa at biopsy, and 87.1% vs. 61.3%, and 63.7% vs. 83.9%, respectively, in predicting csPCa at biopsy. SelectMDx was revealed to be a good predictor of PCa, while with regards to csPCa detection, it was demonstrated to be less effective, showing results similar to mpMRI. With analysis of strategies assessed to define the best diagnostic strategy to avoid unnecessary biopsy, SelectMDx appeared to be a reliable pathway after an initial negative mpMRI. Thus, biopsy could be proposed for all cases of mpMRI PI-RADS 4-5 score, and to those with Prostate Imaging-Reporting and Data System (PI-RADS) 1-3 score followed by a positive SelectMDx.

Entities:  

Keywords:  PSA; early detection; mpMRI; prostate biopsy; prostate neoplasm; urinary biomarker

Year:  2021        PMID: 33922626     DOI: 10.3390/cancers13092047

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  51 in total

1.  A comparative performance analysis of total prostate-specific antigen, percentage free prostate-specific antigen, prostate-specific antigen velocity and urinary prostate cancer gene 3 in the first, second and third repeat prostate biopsy.

Authors:  Marco Auprich; Herbert Augustin; Lars Budäus; Luis Kluth; Sebastian Mannweiler; Shahrokh F Shariat; Margit Fisch; Markus Graefen; Karl Pummer; Felix K-H Chun
Journal:  BJU Int       Date:  2011-09-21       Impact factor: 5.588

2.  Development and validation of a 24-gene predictor of response to postoperative radiotherapy in prostate cancer: a matched, retrospective analysis.

Authors:  Shuang G Zhao; S Laura Chang; Daniel E Spratt; Nicholas Erho; Menggang Yu; Hussam Al-Deen Ashab; Mohammed Alshalalfa; Corey Speers; Scott A Tomlins; Elai Davicioni; Adam P Dicker; Peter R Carroll; Matthew R Cooperberg; Stephen J Freedland; R Jeffrey Karnes; Ashley E Ross; Edward M Schaeffer; Robert B Den; Paul L Nguyen; Felix Y Feng
Journal:  Lancet Oncol       Date:  2016-10-12       Impact factor: 41.316

3.  Multicenter Optimization and Validation of a 2-Gene mRNA Urine Test for Detection of Clinically Significant Prostate Cancer before Initial Prostate Biopsy.

Authors:  Alexander Haese; Geert Trooskens; Sandra Steyaert; Daphne Hessels; Michael Brawer; Virginie Vlaeminck-Guillem; Alain Ruffion; Derya Tilki; Jack Schalken; Jack Groskopf; Wim Van Criekinge
Journal:  J Urol       Date:  2019-07-08       Impact factor: 7.450

4.  Clinical utility of an epigenetic assay to detect occult prostate cancer in histopathologically negative biopsies: results of the MATLOC study.

Authors:  Grant D Stewart; Leander Van Neste; Philippe Delvenne; Paul Delrée; Agnès Delga; S Alan McNeill; Marie O'Donnell; James Clark; Wim Van Criekinge; Joseph Bigley; David J Harrison
Journal:  J Urol       Date:  2012-10-08       Impact factor: 7.450

5.  A urinary biomarker-based risk score correlates with multiparametric MRI for prostate cancer detection.

Authors:  Rianne J Hendriks; Marloes M G van der Leest; Siebren Dijkstra; Jelle O Barentsz; Wim Van Criekinge; Christina A Hulsbergen-van de Kaa; Jack A Schalken; Peter F A Mulders; Inge M van Oort
Journal:  Prostate       Date:  2017-08-29       Impact factor: 4.104

6.  Prospective multicentre evaluation of PCA3 and TMPRSS2-ERG gene fusions as diagnostic and prognostic urinary biomarkers for prostate cancer.

Authors:  Gisele H J M Leyten; Daphne Hessels; Sander A Jannink; Frank P Smit; Hans de Jong; Erik B Cornel; Theo M de Reijke; Henk Vergunst; Paul Kil; Ben C Knipscheer; Inge M van Oort; Peter F A Mulders; Christina A Hulsbergen-van de Kaa; Jack A Schalken
Journal:  Eur Urol       Date:  2012-11-15       Impact factor: 20.096

Review 7.  Clinical Utility of Biomarkers in Localized Prostate Cancer.

Authors:  Michael S Leapman; Hao G Nguyen; Matthew R Cooperberg
Journal:  Curr Oncol Rep       Date:  2016-05       Impact factor: 5.075

8.  Clinical utility of the PCA3 urine assay in European men scheduled for repeat biopsy.

Authors:  Alexander Haese; Alexandre de la Taille; Hendrik van Poppel; Michael Marberger; Arnulf Stenzl; Peter F A Mulders; Hartwig Huland; Clément-Claude Abbou; Mesut Remzi; Martina Tinzl; Susan Feyerabend; Alexander B Stillebroer; Martijn P M Q van Gils; Jack A Schalken
Journal:  Eur Urol       Date:  2008-06-26       Impact factor: 20.096

9.  A 17-gene assay to predict prostate cancer aggressiveness in the context of Gleason grade heterogeneity, tumor multifocality, and biopsy undersampling.

Authors:  Eric A Klein; Matthew R Cooperberg; Cristina Magi-Galluzzi; Jeffry P Simko; Sara M Falzarano; Tara Maddala; June M Chan; Jianbo Li; Janet E Cowan; Athanasios C Tsiatis; Diana B Cherbavaz; Robert J Pelham; Imelda Tenggara-Hunter; Frederick L Baehner; Dejan Knezevic; Phillip G Febbo; Steven Shak; Michael W Kattan; Mark Lee; Peter R Carroll
Journal:  Eur Urol       Date:  2014-05-16       Impact factor: 20.096

10.  Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) significantly improve prostate cancer detection at initial biopsy in a total PSA range of 2-10 ng/ml.

Authors:  Matteo Ferro; Dario Bruzzese; Sisto Perdonà; Ada Marino; Claudia Mazzarella; Giuseppe Perruolo; Vittoria D'Esposito; Vincenzo Cosimato; Carlo Buonerba; Giuseppe Di Lorenzo; Gennaro Musi; Ottavio De Cobelli; Felix K Chun; Daniela Terracciano
Journal:  PLoS One       Date:  2013-07-04       Impact factor: 3.240

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  15 in total

1.  The Application of Biopsy Density in Transperineal Templated-Guided Biopsy Patients With PI-RADS<3.

Authors:  Hai Zhu; Xue-Fei Ding; Sheng-Ming Lu; Ning Ding; Shi-Yi Pi; Zhen Liu; Qin Xiao; Liang-Yong Zhu; Yang Luan; Yue-Xing Han; Hao-Peng Chen; Zhong Liu
Journal:  Front Oncol       Date:  2022-06-08       Impact factor: 5.738

2.  Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion.

Authors:  Ling Yang; Zhengyan Li; Xu Liang; Jingxu Xu; Yusen Cai; Chencui Huang; Mengni Zhang; Jin Yao; Bin Song
Journal:  Front Oncol       Date:  2022-06-28       Impact factor: 5.738

3.  Comparison of a Personalized Prostate Biopsy Pattern With Traditional Transrectal Prostate Biopsy: Different Cancer Detection Rate.

Authors:  Xin Jiang; Sifeng Qu; Yaofeng Zhu; Shuo Wang; Haoyu Sun; Hu Guo; Benkang Shi; Shouzhen Chen
Journal:  Front Cell Dev Biol       Date:  2022-05-04

4.  Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy.

Authors:  Juan Morote; Angel Borque-Fernando; Marina Triquell; Anna Celma; Lucas Regis; Richard Mast; Inés M de Torres; María E Semidey; José M Abascal; Pol Servian; Anna Santamaría; Jacques Planas; Luis M Esteban; Enrique Trilla
Journal:  Cancers (Basel)       Date:  2022-05-11       Impact factor: 6.575

5.  Influence of operative time and blood loss on surgical margins and functional outcomes for laparoscopic versus robotic-assisted radical prostatectomy: a prospective analysis.

Authors:  Stefano Salciccia; Davide Rosati; Pietro Viscuso; Vittorio Canale; Emiliano Scarrone; Marco Frisenda; Roberta Catuzzi; Martina Moriconi; Vincenzo Asero; Stefano Signore; Mauro De Dominicis; Paolo Emiliozzi; Antonio Carbone; Antonio Luigi Pastore; Andrea Fuschi; Giovanni Battista Di Pierro; Alessandro Gentilucci; Susanna Cattarino; Gianna Mariotti; Gian Maria Busetto; Matteo Ferro; Ettore De Berardinis; Gian Piero Ricciuti; Valeria Panebianco; Fabio Massimo Magliocca; Francesco Del Giudice; Martina Maggi; Alessandro Sciarra
Journal:  Cent European J Urol       Date:  2021-11-29

6.  Improving the Early Detection of Clinically Significant Prostate Cancer in Men in the Challenging Prostate Imaging-Reporting and Data System 3 Category.

Authors:  Juan Morote; Miriam Campistol; Marina Triquell; Anna Celma; Lucas Regis; Inés de Torres; Maria E Semidey; Richard Mast; Anna Santamaria; Jacques Planas; Enrique Trilla
Journal:  Eur Urol Open Sci       Date:  2022-01-23

7.  The Efficacy of Proclarix to Select Appropriate Candidates for Magnetic Resonance Imaging and Derived Prostate Biopsies in Men with Suspected Prostate Cancer.

Authors:  Juan Morote; Miriam Campistol; Anna Celma; Lucas Regis; Inés de Torres; María E Semidey; Sarai Roche; Richard Mast; Anna Santamaría; Jacques Planas; Enrique Trilla
Journal:  World J Mens Health       Date:  2021-12-27       Impact factor: 5.400

8.  Construction and Validation of a Clinical Predictive Nomogram for Improving the Cancer Detection of Prostate Naive Biopsy Based on Chinese Multicenter Clinical Data.

Authors:  Tao Tao; Changming Wang; Weiyong Liu; Lei Yuan; Qingyu Ge; Lang Zhang; Biming He; Lei Wang; Ling Wang; Caiping Xiang; Haifeng Wang; Shuqiu Chen; Jun Xiao
Journal:  Front Oncol       Date:  2022-01-21       Impact factor: 6.244

9.  Untargeted Metabolomics Study of Three Matrices: Seminal Fluid, Urine, and Serum to Search the Potential Indicators of Prostate Cancer.

Authors:  Magdalena Buszewska-Forajta; Joanna Raczak-Gutknecht; Wiktoria Struck-Lewicka; Magdalena Nizioł; Małgorzata Artymowicz; Marcin Markuszewski; Marta Kordalewska; Marcin Matuszewski; Michał J Markuszewski
Journal:  Front Mol Biosci       Date:  2022-03-04

10.  Clinical use of the mRNA urinary biomarker SelectMDx test for prostate cancer.

Authors:  Wieke C H Visser; Hans de Jong; Sandra Steyaert; Willem J G Melchers; Peter F A Mulders; Jack A Schalken
Journal:  Prostate Cancer Prostatic Dis       Date:  2022-07-09       Impact factor: 5.455

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