Impact of the Cell Cycle Progression Test on Physician and Patient Treatment Selection for Localized Prostate Cancer

The Journal of Urology(2016)

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摘要
Purpose: The cell cycle progression test is a validated molecular assay that assesses prostate cancer specific disease progression and mortality risk when combined with clinicopathological parameters. We present the results from PROCEDE-1000, a large, prospective registry designed to evaluate the impact of the cell cycle progression test on shared treatment decision making for patients newly diagnosed with prostate cancer. Materials and Methods: Untreated patients with newly diagnosed prostate adenocarcinoma were enrolled in the study and the cell cycle progression test was performed on the initial prostate biopsy tissue. A set of 4 sequential surveys tracked changes relative to initial therapy recommendations (before cell cycle progression) based on clinicopathological parameters following physician review of the cell cycle progression test result, physician/patient review of the cell cycle progression test results and a minimum of 3 months of clinical followup (actual treatment). Results: Of the 1,596 patients enrolled in this registry 1,206 were eligible for analysis. There was a significant reduction in the treatment burden recorded at each successive evaluation (p <0.0001), with the mean number of treatments per patient decreasing from 1.72 before the cell cycle progression test to 1.16 in actual followup. The cell cycle progression test caused a change in actual treatment in 47.8% of patients. Of these changes 72.1% were reductions and 26.9% were increases in treatment. For each clinical risk category there was a significant change in treatment modality (intervention vs nonintervention) before vs after cell cycle progression testing (p=0.0002). Conclusions: The cell cycle progression test has a significant impact in assisting physicians and patients reach personalized treatment decisions.
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关键词
biological markers,evaluation studies,data collection,prostatic neoplasms
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