PSA decay during salvage radiotherapy for prostate cancer as a predictor of disease outcome - 5 year follow-up of a prospective observational study

被引:5
|
作者
Gunnlaugsson, Adalsteinn [1 ]
Kjellen, Elisabeth [1 ]
Bratt, Ola [2 ]
Ahlgren, Goran [3 ]
Johannesson, Vilberg [1 ]
Blom, Rene [4 ]
Nilsson, Per [1 ]
机构
[1] Lund Univ, Skane Univ Hosp, Dept Hematol Oncol & Radiat Phys, S-22185 Lund, Sweden
[2] Sahlgrens Univ Hosp, Dept Urol, S-41345 Gothenburg, Sweden
[3] Skane Univ Hosp, Dept Urol & Surg, S-22185 Lund, Sweden
[4] Halmstad Cty Hosp, Dept Surg, S-30233 Halmstad, Sweden
关键词
Prospective; Observational trial; Prostate cancer; Salvage radiotherapy; PSA decay-rate constant; Predictive value; RADICAL PROSTATECTOMY; BIOCHEMICAL RECURRENCE; RADIATION-THERAPY; PROGRESSION; ADJUVANT;
D O I
10.1016/j.ctro.2020.05.008
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background and purpose: Biochemical recurrence after prostatectomy is commonly treated with salvage radiotherapy (SRT). In this prospective observational study we investigated the PSA decay rate, determined by predefined serial PSA measurements during SRT, as a predictor for treatment outcome. Materials and methods: Between 2013 and 2016, 214 patients were included in the study. The prescribed dose to the prostate bed was 70 Gy in 35 fractions (7 weeks) without hormonal treatment. PSA was measured weekly during SRT. Assuming first order kinetics, a PSA decay-rate constant (k) was calculated for 196 eligible patients. The ability of k to predict disease progression was compared with known clinical prediction parameters using Cox regression, logistic regression and ROC analyses. Disease progression was defined as continuously rising PSA after SRT, PSA increase by >0.2 ng/ml above nadir after SRT, hormonal treatment or clinical progression. Results: After a median follow up of 4.7 years the estimated failure-free survival at 5 years was 56%. The PSA decay-rate constant (k) was found to be the strongest predictor of disease progression in both uniand multivariable analyses. Conclusion: The addition of k to established clinical variables significantly improves the possibility to predict treatment outcome after SRT and could be used to personalize future therapies. (c) 2020 The Authors. Published by Elsevier B.V. on behalf of European Society for Radiotherapy and Oncology.
引用
收藏
页码:23 / 28
页数:6
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