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Can I read Protein Kinase A RI-α Predicts for Prostate Cancer Outcome: Analysis of Radiation Therapy Oncology Group Trial 86-10 on EtoBox?
Protein Kinase A RI-α Predicts for Prostate Cancer Outcome: Analysis of Radiation Therapy Oncology Group Trial 86-10 by Li-Yan Khor; Kyounghwa Bae; Tahseen Al-Saleem; Elizabeth H. Hammond; David J. Grignon; William T. Sause; Miljenko V. Pilepich; Paul P. Okunieff; Howard M. Sandler; Alan Pollack is a Medicine article available to read on EtoBox.
What is Protein Kinase A RI-α Predicts for Prostate Cancer Outcome: Analysis of Radiation Therapy Oncology Group Trial 86-10 about?
Purpose: The RI-a 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 varia
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- Author
- Li-Yan Khor; Kyounghwa Bae; Tahseen Al-Saleem; Elizabeth H. Hammond; David J. Grignon; William T. Sause; Miljenko V. Pilepich; Paul P. Okunieff; Howard M. Sandler; Alan Pollack
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0360-3016)
- Published
- 2008
- Language
- EN
- Field
- Medicine (Health Sciences)