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Khor LY, Bae K, Al-Saleem T, Hammond EH, Grignon DJ, Sause WT, Pilepich MV, Okunieff PP, Sandler HM, Pollack A
Protein kinase A RI-alpha predicts for prostate cancer outcome: analysis of radiation therapy oncology group trial 86-10
Int J Radiat Oncol Biol Phys (2008) 71:1309-15.
Abstract
PURPOSE: The RI-alpha regulatory subunit of protein kinase A type 1 (PKA) is constitutively overexpressed in human cancer cell lines and is associated with active cell growth and neoplastic transformation. This report examined the association between PKA expression and the endpoints of biochemical failure (BF), local failure (LF), distant metastasis (DM), cause-specific mortality (CSM), and overall mortality in men treated with radiotherapy, with or without short-term androgen deprivation in Radiation Therapy Oncology Group trial 86-10. METHODS AND MATERIALS: Pretreatment archival diagnostic tissue samples from 80 patients were stained for PKA by immunohistochemical methods from a parent cohort of 456 cases. PKA intensity was scored manually and by image analysis. The Cox proportional hazards model for overall mortality and Fine and Gray's regression models for CSM, DM, LF and BF were then applied to determine the relationship of PKA expression to the endpoints. RESULTS: The pretreatment characteristics of the missing and determined PKA groups were not significantly different. On univariate analyses, a high PKA staining intensity was associated with BF (image analysis, continuous variable, p = 0.022), LF (image analysis, dichotomized variable, p = 0.011), CSM (manual analysis, p = 0.037; image analysis, continuous, p = 0.014), and DM (manual analysis, p = 0.029). On multivariate analyses, the relationships to BF (image analysis, continuous, p = 0.03), LF (image analysis, dichotomized, p = 0.002), and DM remained significant (manual analysis, p = 0.018). In terms of CSM, a trend toward an association was seen (manual analysis, p = 0.08; image analysis, continuous, p = 0.09). CONCLUSION: PKA overexpression was significantly related to patient outcome and is a potentially useful biomarker for identifying high-risk prostate cancer patients who might benefit from a PKA knockdown strategy.
Note
Publication Date: 2008-08-01.
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