BACKGROUND AND PURPOSE: The selection of appropriate candidates for salvage radiation therapy (SRT) to address a rising PSA following radical prostatectomy remains challenging. Herein, we provide the first evaluation of the ability of staining levels of the tumor based biomarkers MDM2, p16, and p53 to aid in prediction of biochemical recurrence (BCR) among men undergoing SRT for recurrent prostate cancer. MATERIAL AND METHODS: We identified 152 patients who were treated with SRT between July 1987 and July 2003. Staining levels of MDM2, p16, and p53 in primary tumor samples removed during prostatectomy were detected using monoclonal antibodies and quantified by use of a computer-assisted method. Associations of staining levels with BCR were evaluated using Cox proportional hazards regression models; relative risks (RRs) and 95% confidence intervals (CIs) were estimated. RESULTS: Compared to patients with low staining (≤median) as measured by percentage of cells with nuclear staining, there was no significant difference in risk of BCR for patients with high MDM2 staining (RR: 0.90, 95% CI: 0.57-1.45, P = 0.67), high p16 staining (RR: 0.88, 95% CI: 0.54-1.44, P = 0.62), or high p53 staining (RR: 1.33, 95% CI: 0.84-2.11, P = 0.23) in multivariable analysis. These results were consistent when considering alternate percentile cutpoints and alternate quantifications of biomarker staining. CONCLUSIONS: Our results provide evidence that MDM2, p16, and p53 staining levels are not useful in the prediction of BCR after SRT. As such, these biomarkers are of little clinical use in the selection of appropriate candidates for SRT.
BACKGROUND AND PURPOSE: The selection of appropriate candidates for salvage radiation therapy (SRT) to address a rising PSA following radical prostatectomy remains challenging. Herein, we provide the first evaluation of the ability of staining levels of the tumor based biomarkers MDM2, p16, and p53 to aid in prediction of biochemical recurrence (BCR) among men undergoing SRT for recurrent prostate cancer. MATERIAL AND METHODS: We identified 152 patients who were treated with SRT between July 1987 and July 2003. Staining levels of MDM2, p16, and p53 in primary tumor samples removed during prostatectomy were detected using monoclonal antibodies and quantified by use of a computer-assisted method. Associations of staining levels with BCR were evaluated using Cox proportional hazards regression models; relative risks (RRs) and 95% confidence intervals (CIs) were estimated. RESULTS: Compared to patients with low staining (≤median) as measured by percentage of cells with nuclear staining, there was no significant difference in risk of BCR for patients with high MDM2 staining (RR: 0.90, 95% CI: 0.57-1.45, P = 0.67), high p16 staining (RR: 0.88, 95% CI: 0.54-1.44, P = 0.62), or high p53 staining (RR: 1.33, 95% CI: 0.84-2.11, P = 0.23) in multivariable analysis. These results were consistent when considering alternate percentile cutpoints and alternate quantifications of biomarker staining. CONCLUSIONS: Our results provide evidence that MDM2, p16, and p53 staining levels are not useful in the prediction of BCR after SRT. As such, these biomarkers are of little clinical use in the selection of appropriate candidates for SRT.
Authors: Michael G Heckman; Katherine S Tzou; Alexander S Parker; Thomas M Pisansky; Steven E Schild; Tracy W Hilton; Vivek N Patel; Liset Pelaez; Li Yan Khor; Jennifer L Peterson; Larry C Daugherty; Laura A Vallow; Alan Pollack; Steven J Buskirk Journal: J Radiat Oncol Date: 2013-09-01
Authors: Alan Pollack; Deukwoo Kwon; Gail Walker; Li Yan Khor; Eric M Horwitz; Mark K Buyyounouski; Radka Stoyanova Journal: J Natl Cancer Inst Date: 2017-02-01 Impact factor: 13.506
Authors: Christoph Burdelski; Tatsiana Dieckmann; Asmus Heumann; Claudia Hube-Magg; Martina Kluth; Burkhard Beyer; Thomas Steuber; Raisa Pompe; Markus Graefen; Ronald Simon; Sarah Minner; Maria Christina Tsourlakis; Christina Koop; Jakob Izbicki; Guido Sauter; Till Krech; Thorsten Schlomm; Waldemar Wilczak; Patrick Lebok Journal: Tumour Biol Date: 2016-07-21
Authors: Jennifer L Peterson; Steven J Buskirk; Michael G Heckman; Alexander S Parker; Nancy N Diehl; Katherine S Tzou; Nitesh N Paryani; Stephen J Ko; Larry C Daugherty; Laura A Vallow; Thomas M Pisansky Journal: ISRN Oncol Date: 2013-03-31