Literature DB >> 28212119

The role of prostate cancer biomarkers in undiagnosed men.

Hasan Dani1, Stacy Loeb.   

Abstract

PURPOSE OF REVIEW: This article intends to review biomarkers derived from blood, urine, and tissue that can aid in the diagnosis of prostate cancer (PCa). RECENT
FINDINGS: PCa screening requires tools that complement prostate-specific antigen (PSA) with a higher specificity for clinically significant disease. Novel blood biomarkers, such as the Prostate Health Index (phi) and 4Kscore, utilize isoforms of PSA to more accurately predict high-grade PCa than traditional tools such as PSA and the percentage free-to-total PSA. Several gene products associated with PCa can be detected in the urine through commercially available assays. PCa antigen 3 (PCA3), though approved for repeat biopsy decisions, appears inferior to other biomarkers such as phi for identifying aggressive disease. However, combinations of PCA3 with other urine assays have shown promising results. One tissue-based hypermethylation test, named ConfirmMDx, can also be used to determine the need for repeat biopsy in men with a prior negative biopsy.
SUMMARY: Several biomarkers have been developed to aid in the screening and diagnosis of PCa. Such tests are often indicated in men with moderately elevated PSA or history of a prior negative biopsy. Their use facilitates reduction of unnecessary biopsies without sacrificing the early diagnosis of clinically significant PCa.

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Year:  2017        PMID: 28212119      PMCID: PMC5515291          DOI: 10.1097/MOU.0000000000000384

Source DB:  PubMed          Journal:  Curr Opin Urol        ISSN: 0963-0643            Impact factor:   2.309


  72 in total

Review 1.  Comparative effectiveness review: prostate cancer antigen 3 testing for the diagnosis and management of prostate cancer.

Authors:  Linda A Bradley; Glenn E Palomaki; Steven Gutman; David Samson; Naomi Aronson
Journal:  J Urol       Date:  2013-03-29       Impact factor: 7.450

2.  PCA3 molecular urine test as a predictor of repeat prostate biopsy outcome in men with previous negative biopsies: a prospective multicenter clinical study.

Authors:  Marc C Gittelman; Bernard Hertzman; James Bailen; Thomas Williams; Isaac Koziol; Ralph Jonathan Henderson; Mitchell Efros; Mohamed Bidair; John F Ward
Journal:  J Urol       Date:  2013-02-14       Impact factor: 7.450

3.  Clinical performance of prostate health index in men with tPSA>10ng/ml: Results from a multicentric European study.

Authors:  Massimo Lazzeri; Giovanni Lughezzani; Alexander Haese; Thomas McNicholas; Alexandre de la Taille; Nicolò Maria Buffi; Pasquale Cardone; Rodolfo Hurle; Paolo Casale; Vittorio Bini; Joan Palou Redorta; Markus Graefen; Giorgio Guazzoni
Journal:  Urol Oncol       Date:  2016-05-10       Impact factor: 3.498

4.  PCA3 molecular urine test for predicting repeat prostate biopsy outcome in populations at risk: validation in the placebo arm of the dutasteride REDUCE trial.

Authors:  Sheila M J Aubin; Jennifer Reid; Mark J Sarno; Amy Blase; Jacqueline Aussie; Harry Rittenhouse; Roger Rittmaster; Gerald L Andriole; Jack Groskopf
Journal:  J Urol       Date:  2010-09-17       Impact factor: 7.450

5.  The prostate health index selectively identifies clinically significant prostate cancer.

Authors:  Stacy Loeb; Martin G Sanda; Dennis L Broyles; Sanghyuk S Shin; Chris H Bangma; John T Wei; Alan W Partin; George G Klee; Kevin M Slawin; Leonard S Marks; Ron H N van Schaik; Daniel W Chan; Lori J Sokoll; Amabelle B Cruz; Isaac A Mizrahi; William J Catalona
Journal:  J Urol       Date:  2014-11-15       Impact factor: 7.450

6.  Development and internal validation of a Prostate Health Index based nomogram for predicting prostate cancer at extended biopsy.

Authors:  Giovanni Lughezzani; Massimo Lazzeri; Alessandro Larcher; Giuliana Lista; Vincenzo Scattoni; Andrea Cestari; Nicoló Maria Buffi; Vittorio Bini; Giorgio Guazzoni
Journal:  J Urol       Date:  2012-08-15       Impact factor: 7.450

7.  European Randomised Study of Screening for Prostate Cancer (ERSPC) risk calculators significantly outperform the Prostate Cancer Prevention Trial (PCPT) 2.0 in the prediction of prostate cancer: a multi-institutional study.

Authors:  Robert W Foley; Robert M Maweni; Laura Gorman; Keefe Murphy; Dara J Lundon; Garrett Durkan; Richard Power; Frank O'Brien; Kieran J O'Malley; David J Galvin; T Brendan Murphy; R William Watson
Journal:  BJU Int       Date:  2016-02-29       Impact factor: 5.588

8.  Prevalence of prostate cancer among men with a prostate-specific antigen level < or =4.0 ng per milliliter.

Authors:  Ian M Thompson; Donna K Pauler; Phyllis J Goodman; Catherine M Tangen; M Scott Lucia; Howard L Parnes; Lori M Minasian; Leslie G Ford; Scott M Lippman; E David Crawford; John J Crowley; Charles A Coltman
Journal:  N Engl J Med       Date:  2004-05-27       Impact factor: 91.245

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.  A panel of kallikrein markers can reduce unnecessary biopsy for prostate cancer: data from the European Randomized Study of Prostate Cancer Screening in Göteborg, Sweden.

Authors:  Andrew J Vickers; Angel M Cronin; Gunnar Aus; Carl-Gustav Pihl; Charlotte Becker; Kim Pettersson; Peter T Scardino; Jonas Hugosson; Hans Lilja
Journal:  BMC Med       Date:  2008-07-08       Impact factor: 8.775

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  8 in total

1.  Relationship of Total and Free 25-Hydroxyvitamin D to Biomarkers and Metabolic Indices in Healthy Children.

Authors:  Christine A Simpson; Jane H Zhang; Dirk Vanderschueren; Lei Fu; Teresita C Pennestri; Roger Bouillon; David E C Cole; Thomas O Carpenter
Journal:  J Clin Endocrinol Metab       Date:  2020-04-01       Impact factor: 5.958

Review 2.  Future Perspectives and Challenges of Prostate MR Imaging.

Authors:  Baris Turkbey; Peter L Choyke
Journal:  Radiol Clin North Am       Date:  2017-12-09       Impact factor: 2.303

3.  Proteomic Tissue-Based Classifier for Early Prediction of Prostate Cancer Progression.

Authors:  Yuqian Gao; Yi-Ting Wang; Yongmei Chen; Hui Wang; Denise Young; Tujin Shi; Yingjie Song; Athena A Schepmoes; Claire Kuo; Thomas L Fillmore; Wei-Jun Qian; Richard D Smith; Sudhir Srivastava; Jacob Kagan; Albert Dobi; Isabell A Sesterhenn; Inger L Rosner; Gyorgy Petrovics; Karin D Rodland; Shiv Srivastava; Jennifer Cullen; Tao Liu
Journal:  Cancers (Basel)       Date:  2020-05-17       Impact factor: 6.639

4.  Advances in Biomarkers for PCa Diagnostics and Prognostics-A Way towards Personalized Medicine.

Authors:  Carsten Stephan; Klaus Jung
Journal:  Int J Mol Sci       Date:  2017-10-20       Impact factor: 5.923

5.  Can the predictive value of multiparametric MRI for prostate cancer be improved by a liquid biopsy with SelectMDx?

Authors:  Mohammad Sajjad Rahnama'i; Christian Bach; Maximilian Schulze-Hagen; Christiane K Kuhl; Thomas Alexander Vögeli
Journal:  Cancer Rep (Hoboken)       Date:  2021-05-01

Review 6.  Exosomes as A Next-Generation Diagnostic and Therapeutic Tool in Prostate Cancer.

Authors:  Simita Gaglani; Edgar Gonzalez-Kozlova; Dara J Lundon; Ashutosh K Tewari; Navneet Dogra; Natasha Kyprianou
Journal:  Int J Mol Sci       Date:  2021-09-20       Impact factor: 5.923

Review 7.  Cancer diagnostics based on plasma protein biomarkers: hard times but great expectations.

Authors:  Ulf Landegren; Maria Hammond
Journal:  Mol Oncol       Date:  2020-11-17       Impact factor: 6.603

8.  Magnetic Resonance Imaging (MRI)-Targeted Biopsy in Patients with Prostate-Specific Antigen (PSA) Levels <20 ng/mL: A Single-Center Study in Northeastern China.

Authors:  Zhihong Dai; Yangyang Liu; Zhao Huangfu; Liang Wang; Zhiyu Liu
Journal:  Med Sci Monit       Date:  2021-08-08
  8 in total

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