Genomic classifiers for treatment selection in newly diagnosed prostate cancer. (2nd June 2019)

• Record Type: Journal Article
• Authors: Fine, Noam David; LaPolla, Fred; Epstein, Matthew; Loeb, Stacy; Dani, Hasan
• Is Part Of: BJU international. Volume 124:Number 4(2019)
• Page Start: 578
• Page End: 586
• Publication Date: 2019-06-02
• Subjects: genomic biomarkers -- Prolaris -- Decipher -- OncotypeDx -- #ProstateCancer -- #PCSM; Genitourinary organs -- Diseases -- Periodicals; Genitourinary organs -- Surgery -- Periodicals; Urology -- Periodicals; 616.6
• DOI: 10.1111/bju.14799
• Languages: English
• ISSNs: 1464-4096

Abstract

Abstract : Objectives: To review systematically the literature on genomic tests for prostate cancer (PCa) and to evaluate the current state of the evidence on their use in patients with newly diagnosed PCa. Methods: We conducted a systematic review by searching PubMed, Embase, Cochrane Central and conference abstracts from the American Urological Association, published between 2010 and 2018. Studies evaluating Prolaris, Oncotype Dx and Decipher assays were assessed for inclusion by two authors. Studies were excluded if the results were derived from surgical specimens rather than biopsy specimens. A meta‐analysis was not performed owing to significant variations in methodologies, definitions and outcome measures. Results: A total of 729 articles were retrieved in our initial search. After removing duplicates (270) and excluding articles deemed not relevant (432), 21 full‐text articles were deemed suitable for inclusion in the present analysis. The full‐text articles comprised eight studies on Prolaris, eight studies on Oncotype Dx and five studies on Decipher. For each genomic test we extracted data regarding the risks of adverse pathology, biochemical recurrence, metastasis and PCa‐specific mortality. Conclusion: The results of genomic tests that use biomarkers derived from prostate biopsy can be used in conjunction with clinicopathological variables to improve our ability to risk‐stratify patients with newly diagnosed PCa. Additional data are needed on the impact of using these tests on long‐term patient outcomes and their cost‐effectiveness.