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Molecular Oncology, Markers, Clinical Correlates |
Laboratory Medicine [R. T. V.] and Radiation Therapy [G. S. M.], Veterans Affairs Medical Center, Durham, North Carolina 27705; Departments of Pathology [R. T. V.] and Radiation Oncology [G. S. M.], Duke University Medical Center, Durham, North Carolina 27705; and Moore Regional Medical Center, Pinehurst, North Carolina 28374 [G. S. M.]
In this report, we use new patient data to test three popular models developed to predict the outcome of definitive radiation therapy. The data come from 240 men with localized prostate cancer and who were treated with definitive radiation therapy at a community hospital. All three models tested were based on the three commonly available variables of pretreatment prostate-specific antigen (PSA), Gleason score, and tumor stage, and we used the Cox proportional hazards model and the logistic regression model to relate these variables to outcome. We discovered that in our data, the optimal way to use pretreatment PSA was as natural log(PSA), the optimal way to use T stage was in three categories: T1 and T2, T3, and T4, and that the optimal use of Gleason score was as <7 versus
7. Nevertheless, models confined to the optimal use of these three variables leave much uncertainty about important outcomes, such as the probability of relapse within 5 years.
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R. T. Vollmer, P. W. Kantoff, N. A. Dawson, and N. J. Vogelzang Importance of Serum Hemoglobin in Hormone Refractory Prostate Cancer Clin. Cancer Res., April 1, 2002; 8(4): 1049 - 1053. [Abstract] [Full Text] [PDF] |
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R. T. Vollmer and G. S. Montana The Dynamics of Prostate-specific Antigen after Definitive Radiation Therapy for Prostate Cancer Clin. Cancer Res., December 1, 1999; 5(12): 4119 - 4125. [Abstract] [Full Text] [PDF] |
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