Literature DB >> 35719272

Biomarkers for prostate cancer detection and risk stratification.

Mark W Farha1, Simpa S Salami2.   

Abstract

Although prostate cancer (PCa) is the most commonly diagnosed cancer in men, most patients do not die from the disease. Prostate specific antigen (PSA), the most widely used oncologic biomarker, has revolutionized screening and early detection, resulting in reduced proportion of patients presenting with advanced disease. However, given the inherent limitations of PSA, additional diagnostic and prognostic tools are needed to facilitate early detection and accurate risk stratification of disease. Serum, urine, and tissue-based biomarkers are increasingly being incorporated into the clinical care paradigm, but there is still a limited understanding of how to use them most effectively. In the current article, we review test characteristics and clinical performance data for both serum [4 K score, prostate health index (phi)] and urine [SelectMDx, ExoDx Prostate Intelliscore, MyProstateScore (MPS), and PCa antigen 3 (PCA3)] biomarkers to aid decisions regarding initial or repeat biopsies as well as tissue-based biomarkers (Confirm MDx, Decipher, Oncotype Dx, and Polaris) aimed at risk stratifying patients and identifying those patients most likely to benefit from treatment versus surveillance or monotherapy versus multi-modal therapy.
© The Author(s), 2022.

Entities:  

Keywords:  biomarkers; early detection; prostate cancer; risk stratification

Year:  2022        PMID: 35719272      PMCID: PMC9201356          DOI: 10.1177/17562872221103988

Source DB:  PubMed          Journal:  Ther Adv Urol        ISSN: 1756-2872


  107 in total

1.  Prostate cancers in men with low PSA levels--must we find them?

Authors:  H Ballentine Carter
Journal:  N Engl J Med       Date:  2004-05-27       Impact factor: 91.245

Review 2.  Receiver operating characteristic curve in diagnostic test assessment.

Authors:  Jayawant N Mandrekar
Journal:  J Thorac Oncol       Date:  2010-09       Impact factor: 15.609

3.  PCA3: a molecular urine assay for predicting prostate biopsy outcome.

Authors:  Ina L Deras; Sheila M J Aubin; Amy Blase; John R Day; Seongjoon Koo; Alan W Partin; William J Ellis; Leonard S Marks; Yves Fradet; Harry Rittenhouse; Jack Groskopf
Journal:  J Urol       Date:  2008-03-04       Impact factor: 7.450

4.  Development and Validation of a Novel Integrated Clinical-Genomic Risk Group Classification for Localized Prostate Cancer.

Authors:  Daniel E Spratt; Jingbin Zhang; María Santiago-Jiménez; Robert T Dess; John W Davis; Robert B Den; Adam P Dicker; Christopher J Kane; Alan Pollack; Radka Stoyanova; Firas Abdollah; Ashley E Ross; Adam Cole; Edward Uchio; Josh M Randall; Hao Nguyen; Shuang G Zhao; Rohit Mehra; Andrew G Glass; Lucia L C Lam; Jijumon Chelliserry; Marguerite du Plessis; Voleak Choeurng; Maria Aranes; Tyler Kolisnik; Jennifer Margrave; Jason Alter; Jennifer Jordan; Christine Buerki; Kasra Yousefi; Zaid Haddad; Elai Davicioni; Edouard J Trabulsi; Stacy Loeb; Ashutosh Tewari; Peter R Carroll; Sheila Weinmann; Edward M Schaeffer; Eric A Klein; R Jeffrey Karnes; Felix Y Feng; Paul L Nguyen
Journal:  J Clin Oncol       Date:  2017-11-29       Impact factor: 44.544

5.  A multi-institutional prospective trial in the USA confirms that the 4Kscore accurately identifies men with high-grade prostate cancer.

Authors:  Dipen J Parekh; Sanoj Punnen; Daniel D Sjoberg; Scott W Asroff; James L Bailen; James S Cochran; Raoul Concepcion; Richard D David; Kenneth B Deck; Igor Dumbadze; Michael Gambla; Michael S Grable; Ralph J Henderson; Lawrence Karsh; Evan B Krisch; Timothy D Langford; Daniel W Lin; Shawn M McGee; John J Munoz; Christopher M Pieczonka; Kimberley Rieger-Christ; Daniel R Saltzstein; John W Scott; Neal D Shore; Paul R Sieber; Todd M Waldmann; Fredrick N Wolk; Stephen M Zappala
Journal:  Eur Urol       Date:  2014-10-27       Impact factor: 20.096

6.  Health Economic Impact and Prospective Clinical Utility of Oncotype DX® Genomic Prostate Score.

Authors:  David Albala; Michael J Kemeter; Phillip G Febbo; Ruixiao Lu; Vincy John; Dylan Stoy; Bela Denes; Marybeth McCall; Alan W Shindel; Frank Dubeck
Journal:  Rev Urol       Date:  2016

7.  Increasing hospital admission rates for urological complications after transrectal ultrasound guided prostate biopsy.

Authors:  Robert K Nam; Refik Saskin; Yuna Lee; Ying Liu; Calvin Law; Laurence H Klotz; D Andrew Loblaw; John Trachtenberg; Aleksandra Stanimirovic; Andrew E Simor; Arun Seth; David R Urbach; Steven A Narod
Journal:  J Urol       Date:  2010-01-20       Impact factor: 7.450

8.  A Novel Urine Exosome Gene Expression Assay to Predict High-grade Prostate Cancer at Initial Biopsy.

Authors:  James McKiernan; Michael J Donovan; Vince O'Neill; Stefan Bentink; Mikkel Noerholm; Susan Belzer; Johan Skog; Michael W Kattan; Alan Partin; Gerald Andriole; Gordon Brown; John T Wei; Ian M Thompson; Peter Carroll
Journal:  JAMA Oncol       Date:  2016-07-01       Impact factor: 31.777

9.  Multicenter Evaluation of the Prostate Health Index to Detect Aggressive Prostate Cancer in Biopsy Naïve Men.

Authors:  Claire de la Calle; Dattatraya Patil; John T Wei; Douglas S Scherr; Lori Sokoll; Daniel W Chan; Javed Siddiqui; Juan Miguel Mosquera; Mark A Rubin; Martin G Sanda
Journal:  J Urol       Date:  2015-01-28       Impact factor: 7.450

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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