BACKGROUND: This study was designed to compare the long-term oncological outcome of patients with clinical T3 (cT3) prostate cancer (PCA) treated with either radical prostatectomy (RP) or external-beam radiation therapy (EBRT) and to identify predictors of oncological outcomes. METHODS: A total of 231 patients with cT3 PCA underwent either RP (n = 112) or EBRT (n = 119). Local progression-free (LPFS), distant metastasis-free (DMFS), cancer-specific (CSS), and overall survival curves were generated with the Kaplan-Meier method, and the differences in survival rates between the two groups were assessed with a log-rank test. Cox proportional stepwise multivariate analysis was used to assess the association of variables to the oncological outcomes. RESULTS: The median follow-up of the RP and EBRT groups was 93 and 85 months, respectively (p = 0.004).The 10-year LPFS, DMFS, and CSS rates were not statistically different between the two groups (90.2, 73.9, and 93.7 % in the RP group and 82.7, 88.2, and 85.1 % in the EBRT group; p = 0.25, 0.10, and 0.10, respectively). The Cox proportional multivariate analysis revealed that clinical T3b (cT3b) (p = 0.001) and a biopsy Gleason score of 7-10 (p = 0.043) were significant predictors of cancer-specific mortality and that cT3b was also a significant predictor of local progression and all-cause mortality. CONCLUSION: In cT3 PCA, both RP and EBRT provide an excellent long-term oncological outcome. cT3b was the strongest predictor of oncological outcome for the patients with locally advanced PCA who underwent the definitive therapy.
BACKGROUND: This study was designed to compare the long-term oncological outcome of patients with clinical T3 (cT3) prostate cancer (PCA) treated with either radical prostatectomy (RP) or external-beam radiation therapy (EBRT) and to identify predictors of oncological outcomes. METHODS: A total of 231 patients with cT3 PCA underwent either RP (n = 112) or EBRT (n = 119). Local progression-free (LPFS), distant metastasis-free (DMFS), cancer-specific (CSS), and overall survival curves were generated with the Kaplan-Meier method, and the differences in survival rates between the two groups were assessed with a log-rank test. Cox proportional stepwise multivariate analysis was used to assess the association of variables to the oncological outcomes. RESULTS: The median follow-up of the RP and EBRT groups was 93 and 85 months, respectively (p = 0.004).The 10-year LPFS, DMFS, and CSS rates were not statistically different between the two groups (90.2, 73.9, and 93.7 % in the RP group and 82.7, 88.2, and 85.1 % in the EBRT group; p = 0.25, 0.10, and 0.10, respectively). The Cox proportional multivariate analysis revealed that clinical T3b (cT3b) (p = 0.001) and a biopsy Gleason score of 7-10 (p = 0.043) were significant predictors of cancer-specific mortality and that cT3b was also a significant predictor of local progression and all-cause mortality. CONCLUSION: In cT3 PCA, both RP and EBRT provide an excellent long-term oncological outcome. cT3b was the strongest predictor of oncological outcome for the patients with locally advanced PCA who underwent the definitive therapy.
Authors: Stephen A Boorjian; R Jeffrey Karnes; Rosalia Viterbo; Laureano J Rangel; Eric J Bergstralh; Eric M Horwitz; Michael L Blute; Mark K Buyyounouski Journal: Cancer Date: 2011-01-10 Impact factor: 6.860
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Authors: Thomas Wiegel; Dirk Bottke; Ursula Steiner; Alessandra Siegmann; Reinhard Golz; Stephan Störkel; Norman Willich; Axel Semjonow; Rainer Souchon; Michael Stöckle; Christian Rübe; Lothar Weissbach; Peter Althaus; Udo Rebmann; Tilman Kälble; Horst Jürgen Feldmann; Manfred Wirth; Axel Hinke; Wolfgang Hinkelbein; Kurt Miller Journal: J Clin Oncol Date: 2009-05-11 Impact factor: 44.544
Authors: Marco Bandini; Michele Marchioni; Felix Preisser; Emanuele Zaffuto; Zhe Tian; Derya Tilki; Francesco Montorsi; Shahrokh F Shariat; Fred Saad; Alberto Briganti; Pierre I Karakiewicz Journal: World J Urol Date: 2018-05-02 Impact factor: 4.226
Authors: Lauren J Beesley; Todd M Morgan; Daniel E Spratt; Udit Singhal; Felix Y Feng; Allison Cullen Furgal; William C Jackson; Stephanie Daignault; Jeremy M G Taylor Journal: JAMA Netw Open Date: 2019-02-01