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- W2589189862 abstract "135 Background: The heterogeneity of prostate cancer presents a challenge in accurately predicting disease behavior. Several biomarker models have recently been developed to allow better risk stratification and more definitive treatment. Methods: We surveyed the literature to find relevant articles on three commercially available prostate cancer biomarkers: Prolaris, Decipher and Oncotype DX. Articles were chosen based on the following criteria: adequate sample size for reliable statistical analysis, original and validation studies utilizing datasets from independent patient cohorts, and studies reporting appropriate statistical evaluations. Results: After screening 32 articles, eight were chosen for review that met the aforementioned criteria. Hazard ratio, odds ratio, area under the curve (AUC), or precision and reproducibility were used to quantify the assay’s predictive capability (Table). Conclusions: From our independent review we concluded that these biomarker models have not yet fully justified their claimed clinical utilities. Also, it is difficult to directly compare performance of these markers and no prospective studies have been reported to validate these assays. [Table: see text]" @default.
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- W2589189862 date "2015-03-01" @default.
- W2589189862 modified "2023-09-25" @default.
- W2589189862 title "Current state of genetic biomarkers for prostate cancer." @default.
- W2589189862 doi "https://doi.org/10.1200/jco.2015.33.7_suppl.135" @default.
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