Literature DB >> 29423762

Clinical and Novel Biomarkers in the Management of Prostate Cancer.

Cristóbal Sanhueza1,2, Manish Kohli3.   

Abstract

OPINION STATEMENT: Clinical outcomes in prostate cancer after initial screening and treatment for organ-confined disease and in advanced stage after drug intervention can be heterogeneous. Serum prostate-specific antigen which has a modest value as a screening biomarker while widely used in practice in all subsequent stages has limitations for prognostication or prediction of drug efficacy. Recent advances in genomic sciences and the identification of the mutational landscape of organ-confined and advanced-stage disease have contributed to the development of molecular biomarker profiling in addition to serum prostate-specific antigen. Genomic biomarkers are in development for application to screening for lethal disease subtypes, monitoring of disease recurrence after initial treatments, prognostication, as well as for prediction of drug efficacy. The application of translational molecular profiling in prostate cancer has the potential to enhance clinical management and outcomes in the future. Molecular biomarkers in development in organ-confined disease include both DNA- and RNA-based candidate and pathway-based biomarkers. In advanced-stage disease, molecular biomarker profiling has emerged for identifying therapeutic targets, prediction of drug efficacy, and for prognostication of survival that includes germline single nucleotide profiling and somatic aberrations including copy number variation and mutations and RNA-based profiling. This review summarizes the current state of clinical biomarkers used in practice, their limitations, and novel molecular biomarkers being developed for several clinical endpoints in early- and late-stage cancer.

Entities:  

Keywords:  Biomarker; Genomics; Predictive; Prognostic; Prostate

Mesh:

Substances:

Year:  2018        PMID: 29423762     DOI: 10.1007/s11864-018-0527-z

Source DB:  PubMed          Journal:  Curr Treat Options Oncol        ISSN: 1534-6277


  97 in total

1.  APTIMA PCA3 molecular urine test: development of a method to aid in the diagnosis of prostate cancer.

Authors:  Jack Groskopf; Sheila M J Aubin; Ina Lim Deras; Amy Blase; Sharon Bodrug; Craig Clark; Steven Brentano; Jeannette Mathis; Jimmykim Pham; Troels Meyer; Michelle Cass; Petrea Hodge; Maria Luz Macairan; Leonard S Marks; Harry Rittenhouse
Journal:  Clin Chem       Date:  2006-04-20       Impact factor: 8.327

2.  Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: a retrospective study.

Authors:  Jack Cuzick; Gregory P Swanson; Gabrielle Fisher; Arthur R Brothman; Daniel M Berney; Julia E Reid; David Mesher; V O Speights; Elzbieta Stankiewicz; Christopher S Foster; Henrik Møller; Peter Scardino; Jorja D Warren; Jimmy Park; Adib Younus; Darl D Flake; Susanne Wagner; Alexander Gutin; Jerry S Lanchbury; Steven Stone
Journal:  Lancet Oncol       Date:  2011-03       Impact factor: 41.316

3.  Genomic deletion of PTEN is associated with tumor progression and early PSA recurrence in ERG fusion-positive and fusion-negative prostate cancer.

Authors:  Antje Krohn; Tobias Diedler; Lia Burkhardt; Pascale-Sophie Mayer; Colin De Silva; Marie Meyer-Kornblum; Darja Kötschau; Pierre Tennstedt; Joseph Huang; Clarissa Gerhäuser; Malte Mader; Stefan Kurtz; Hüseyin Sirma; Fred Saad; Thomas Steuber; Markus Graefen; Christoph Plass; Guido Sauter; Ronald Simon; Sarah Minner; Thorsten Schlomm
Journal:  Am J Pathol       Date:  2012-06-13       Impact factor: 4.307

Review 4.  Genomic Predictors of Outcome in Prostate Cancer.

Authors:  Peter J Boström; Anders S Bjartell; James W F Catto; Scott E Eggener; Hans Lilja; Stacy Loeb; Jack Schalken; Thorsten Schlomm; Matthew R Cooperberg
Journal:  Eur Urol       Date:  2015-04-23       Impact factor: 20.096

5.  Docetaxel plus prednisone or mitoxantrone plus prednisone for advanced prostate cancer.

Authors:  Ian F Tannock; Ronald de Wit; William R Berry; Jozsef Horti; Anna Pluzanska; Kim N Chi; Stephane Oudard; Christine Théodore; Nicholas D James; Ingela Turesson; Mark A Rosenthal; Mario A Eisenberger
Journal:  N Engl J Med       Date:  2004-10-07       Impact factor: 91.245

6.  Absence of TMPRSS2:ERG fusions and PTEN losses in prostate cancer is associated with a favorable outcome.

Authors:  Maisa Yoshimoto; Anthony M Joshua; Isabela W Cunha; Renata A Coudry; Francisco P Fonseca; Olga Ludkovski; Maria Zielenska; Fernando A Soares; Jeremy A Squire
Journal:  Mod Pathol       Date:  2008-05-23       Impact factor: 7.842

7.  Validation of a cell-cycle progression gene panel to improve risk stratification in a contemporary prostatectomy cohort.

Authors:  Matthew R Cooperberg; Jeffry P Simko; Janet E Cowan; Julia E Reid; Azita Djalilvand; Satish Bhatnagar; Alexander Gutin; Jerry S Lanchbury; Gregory P Swanson; Steven Stone; Peter R Carroll
Journal:  J Clin Oncol       Date:  2013-03-04       Impact factor: 44.544

8.  Association Between Combined TMPRSS2:ERG and PCA3 RNA Urinary Testing and Detection of Aggressive Prostate Cancer.

Authors:  Martin G Sanda; Ziding Feng; David H Howard; Scott A Tomlins; Lori J Sokoll; Daniel W Chan; Meredith M Regan; Jack Groskopf; Jonathan Chipman; Dattatraya H Patil; Simpa S Salami; Douglas S Scherr; Jacob Kagan; Sudhir Srivastava; Ian M Thompson; Javed Siddiqui; Jing Fan; Aron Y Joon; Leonidas E Bantis; Mark A Rubin; Arul M Chinnayian; John T Wei; Mohamed Bidair; Adam Kibel; Daniel W Lin; Yair Lotan; Alan Partin; Samir Taneja
Journal:  JAMA Oncol       Date:  2017-08-01       Impact factor: 31.777

9.  Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy.

Authors:  Nicholas Erho; Anamaria Crisan; Ismael A Vergara; Anirban P Mitra; Mercedeh Ghadessi; Christine Buerki; Eric J Bergstralh; Thomas Kollmeyer; Stephanie Fink; Zaid Haddad; Benedikt Zimmermann; Thomas Sierocinski; Karla V Ballman; Timothy J Triche; Peter C Black; R Jeffrey Karnes; George Klee; Elai Davicioni; Robert B Jenkins
Journal:  PLoS One       Date:  2013-06-24       Impact factor: 3.240

10.  Inherited DNA-Repair Gene Mutations in Men with Metastatic Prostate Cancer.

Authors:  Colin C Pritchard; Joaquin Mateo; Michael F Walsh; Navonil De Sarkar; Wassim Abida; Himisha Beltran; Andrea Garofalo; Roman Gulati; Suzanne Carreira; Rosalind Eeles; Olivier Elemento; Mark A Rubin; Dan Robinson; Robert Lonigro; Maha Hussain; Arul Chinnaiyan; Jake Vinson; Julie Filipenko; Levi Garraway; Mary-Ellen Taplin; Saud AlDubayan; G Celine Han; Mallory Beightol; Colm Morrissey; Belinda Nghiem; Heather H Cheng; Bruce Montgomery; Tom Walsh; Silvia Casadei; Michael Berger; Liying Zhang; Ahmet Zehir; Joseph Vijai; Howard I Scher; Charles Sawyers; Nikolaus Schultz; Philip W Kantoff; David Solit; Mark Robson; Eliezer M Van Allen; Kenneth Offit; Johann de Bono; Peter S Nelson
Journal:  N Engl J Med       Date:  2016-07-06       Impact factor: 91.245

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  4 in total

Review 1.  Metabolomics Contributions to the Discovery of Prostate Cancer Biomarkers.

Authors:  Nuria Gómez-Cebrián; Ayelén Rojas-Benedicto; Arturo Albors-Vaquer; José Antonio López-Guerrero; Antonio Pineda-Lucena; Leonor Puchades-Carrasco
Journal:  Metabolites       Date:  2019-03-08

2.  The expression of YWHAZ and NDRG1 predicts aggressive outcome in human prostate cancer.

Authors:  Sofia Lage-Vickers; Juan Bizzotto; Maria Pia Valacco; Pablo Sanchis; Sergio Nemirovsky; Estefania Labanca; Carlos Scorticati; Osvaldo Mazza; Antonina Mitrofanova; Nora Navone; Elba Vazquez; Javier Cotignola; Geraldine Gueron
Journal:  Commun Biol       Date:  2021-01-22

Review 3.  Challenges and Opportunities in Clinical Applications of Blood-Based Proteomics in Cancer.

Authors:  Ruchika Bhawal; Ann L Oberg; Sheng Zhang; Manish Kohli
Journal:  Cancers (Basel)       Date:  2020-08-27       Impact factor: 6.639

4.  Prediction of the development of islet autoantibodies through integration of environmental, genetic, and metabolic markers.

Authors:  Bobbie-Jo M Webb-Robertson; Lisa M Bramer; Bryan A Stanfill; Sarah M Reehl; Ernesto S Nakayasu; Thomas O Metz; Brigitte I Frohnert; Jill M Norris; Randi K Johnson; Stephen S Rich; Marian J Rewers
Journal:  J Diabetes       Date:  2020-08-16       Impact factor: 4.006

  4 in total

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