Genomic Classifiers for Treatment Selection in Newly Diagnosed Prostate Cancer.

Fine ND1, LaPolla F2, Epstein M3, Loeb S4, Dani H5.

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Abstract

OBJECTIVE:

To systematically review the literature on genomic tests for prostate cancer (PCa) and 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. 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 our analysis. The full-text articles comprised 8 studies on Prolaris, 8 studies on Oncotype Dx, and 5 studies on Decipher. For each genomic test we extracted data regarding the risk of adverse pathology, biochemical recurrence, metastasis, and prostate cancer mortality.

CONCLUSION:

The results of genomic tests that use biomarkers derived from prostate biopsy can be used in conjunction with clinicopathologic variables to improve our ability to risk stratify patients with newly diagnosed prostate cancer. Additional data are needed on the impact of using these tests on long-term patient outcomes and their cost-effectiveness. This article is protected by copyright. All rights reserved.