Cell-cycle Progression-score Might Improve the Current Risk Assessment in Newly Diagnosed Prostate Cancer Patients
Articolo
Data di Pubblicazione:
2017
Citazione:
Cell-cycle Progression-score Might Improve the Current Risk Assessment in Newly Diagnosed Prostate Cancer Patients / M. Oderda, G. Cozzi, L. Daniele, A. Sapino, S. Munegato, G. Renne, O. De Cobelli, P. Gontero. - In: UROLOGY. - ISSN 0090-4295. - 102(2017), pp. 73-78. [10.1016/j.urology.2016.11.038]
Abstract:
OBJECTIVE:
To assess whether cell-cycle progression (CCP)-score (Prolaris) can improve the current risk assessment in newly diagnosed prostate cancer (PCa) patients. CCP-score is a well-validated prognostic assay predictive of PCa death, biochemical recurrence, and progression.
METHODS:
We evaluated CCP-score at biopsy in 52 patients newly diagnosed with PCa who underwent radical prostatectomy. CCP-score was calculated as average RNA expression of 31 CCP genes, normalized to 15 housekeeping genes. The predictive ability of CCP-score was assessed in univariate and multivariate analyses, and compared to that of Ki-67 levels and traditional clinical variables including prostate-specific antigen, Gleason score, stage, and percentage of positive cores at biopsy.
RESULTS:
In spite of an overall good accuracy in attributing the correct risk class, 7 high-risk and 13 intermediate-risk patients were misclassified by the Prolaris test. On analysis of variance, mean CCP-score significantly differed across different risk classes based on pathologic results (-1.2 in low risk, -0.444 in intermediate risk, 0.208 in high risk). CCP-score was a significant predictor of high-risk PCa both on univariate and multivariate analyses, after adjusting for clinical variables. Combining CCP-score and the European Association of Urology clinical risk assessment improved the accuracy of risk attribution by around 10%, up to 87.8%. CCP-score was a significant predictor of biochemical recurrence, but only on univariate analysis.
CONCLUSION:
The CCP-score might provide important new information to risk assessment of newly diagnosed PCa in addition to traditional clinical variables. A correct risk attribution is essential to tailor the best treatment for each patient.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Urology
Elenco autori:
M. Oderda, G. Cozzi, L. Daniele, A. Sapino, S. Munegato, G. Renne, O. De Cobelli, P. Gontero
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