Is it Possible to Provide a Prognosis after Radical Prostatectomy for Prostate Cancer by Means of a Psa Regression Model?

2005 ◽  
Vol 20 (2) ◽  
pp. 112-118 ◽  
Author(s):  
M. May ◽  
S. Gunia ◽  
C. Helke ◽  
K.P. Braun ◽  
S. Pickenhain ◽  
...  
Keyword(s):  
Radical Prostatectomy ◽  
Computer Program ◽  
Biochemical Recurrence ◽  
Specific Antigen ◽  
Compartment Model ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Two Compartment Model

Background For over 15 years, studies have been done to evaluate the elimination kinetics of the prostate-specific antigen (PSA) after radical prostatectomy. Even though evaluation of PSA regression in the two-compartment model has become established, no clear data are currently available as to whether a statement can be made with regard to tumor prognosis from a computation of the PSA half-life (PSA-HL). This study focuses on the determination of the PSA-HL in the two-compartment model and on its correlation with the biochemical recurrence-free survival. In addition, a computer program is being developed to simplify the determination of PSA-HL. Material and methods Seventy-seven prospective patients were examined who subsequently had a radical prostatectomy at our facility without neoadjuvant or adjuvant hormone deprivation. In addition to preoperative measurement of the PSA value (d0), PSA determinations were carried out postoperatively on days 5, 10 and 60, and at four-monthly intervals thereafter (mean follow-up: 16 months). By means of the computer program developed for this purpose, CTK. TumW, the PSA half-lives for the first (d0–d5, PSA-HL1) and second (d5–d10, PSA-HL2) compartments were subsequently determined and their effect on biochemical recurrence-free survival was assessed. Results PSA-HL1 and PSA-HL2 were 1.89 (± 0.03) and 3.39 (± 0.14) days, respectively. Whilst PSA-HL1 did not permit any prognostic statement, the median PSA-HL in the second compartment between patients with and without disease progression differed significantly (4.44 versus 3.12 days; p<0.001). Discrimination analysis produced a cutoff of 3.8 days for the second compartment; patients with a PSA-HL2 ≥3.8 days had a significantly worse biochemical recurrence-free survival after 18 months than the other patients (27% versus 93%; p<0.001). Conclusion The PSA regression kinetics after radical prostatectomy follows a two-compartment model in which the prognostic value of the PSA-HL1 is limited. When a cutoff of 3.8 days is used, evaluation of the PSA-HL in compartment 2 (d5–10) appears to permit a prognostic statement. Due to the limited postsurgical follow-up, the disease process was only assessed as biochemical recurrence-free survival, and a longer follow-up will be necessary to generate data on progression-free survival.

External Validation of a Biomarker-Based Preoperative Nomogram Predicts Biochemical Recurrence After Radical Prostatectomy

2008 ◽  
Vol 26 (9) ◽  
pp. 1526-1531 ◽  
Author(s):  
Shahrokh F. Shariat ◽  
Jochen Walz ◽  
Claus G. Roehrborn ◽  
Alexandre R. Zlotta ◽  
Paul Perrotte ◽  
...  
Keyword(s):  
Radical Prostatectomy ◽  
Plasma Levels ◽  
Biochemical Recurrence ◽  
Clinical Decision Making ◽  
Specific Antigen ◽  
Performance Characteristics ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Clinical Variables ◽  
Tgf Β1

Purpose Biomarker signatures currently are used in several malignancies to guide clinical decision making. Recently, preoperative plasma levels of transforming growth factor-β1 (TGF-β1) and interleukin-6 soluble receptor (IL6-SR) have improved the accuracy of a clinical nomogram that predicted biochemical recurrence after radical prostatectomy. However, this model was never externally validated. We tested the accuracy of this nomogram in an independent, external cohort. Patients and Methods Preoperative plasma levels of TGF-β1 and IL6-SR were measured in 423 consecutive men who underwent radical prostatectomy and bilateral lymphadenectomy and were used, along with preoperative prostate-specific antigen levels, biopsy Gleason sum, and clinical stage to determine nomogram-derived probabilities of biochemical recurrence–free survival at 5 years after radical prostatectomy. The accuracy of predictions was quantified with the area under the curve (AUC) and calibration plots that graphically displayed the nomogram's performance characteristics. The statistical significance of the difference between the biomarker nomogram and a model designed on the basis of clinical variables alone was tested by using the Mantel-Haenszel statistic. Results Biochemical recurrence–free survival at 5 years was 77.0% (95% CI, 72.0% to 82.0%). The biomarker-based nomogram was 87.9% accurate versus 71.1% for the nomogram designed on the basis of clinical variables alone (16.8% difference; P < .001). The performance characteristics of the biomarker-based nomogram were superior to those of the clinical nomogram. Conclusion We confirm that plasma levels of TGF-β1 and IL6-SR considerably enhance the accuracy of the standard preoperative nomogram for the prediction of biochemical recurrence after radical prostatectomy. This model further refines our ability to identify patients at a high risk of biochemical recurrence after radical prostatectomy.

Conditional biochemical recurrence-free survival and cancer-specific mortality after radical prostatectomy at long term follow-up.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 55-55
Author(s):  
Silvia Garcia Barreras ◽  
Rafael Sanchez-Salas ◽  
Igor Nunes-Silva ◽  
Fernando P. Secin ◽  
Victor Srougi ◽  
...  
Keyword(s):  
Radical Prostatectomy ◽  
Biochemical Recurrence ◽  
Cox Regression ◽  
Primary Treatment ◽  
Cumulative Probability ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Specific Mortality ◽  
Cancer Specific Mortality

55 Background: To estimate the conditional biochemical recurrence-free survival (BCR) rates and cancer-specific mortality (CSM) for men with clinically localized prostate cancer (PCa) treated with radical prostatectomy (RP) at our institution. Methods: A total of 3576 patients underwent laparoscopic radical prostatectomy (LARP) and 2619 men were treated with robotic radical prostatectomy (RARP) in the last 15 years. BCR of primary treatment was defined as PSA > 0.2 ng/dl. PCa death was defined as patients who died with metastasis in an androgen independent setting. Kaplan-Meier and Cox regression methods were used to estimate the conditional survival probabilities and CSM. Results: The median follow-up was 8.49 years (IQR 4.01-12.97). A total of 92 (1.48%) patients (80 LARP and 12 RARP) died of disease. Positive surgical margins (PSM) were identified in 1202 patients (19.4%); of these, 664 (55.24%) had organ confined disease and 523 (43.51%) had extraprostatic extension (EPE). BCR-free survival rate was found significantly higher with RARP (83% vs 77% for LARP at 10 years; p < 0.001). For patients with PSA < 10 ng/dl BCR-free survival at 10 years was 80% vs 64% for PSA 10-20 ng/dl, and 59% for PSA > 20ng/dl; p > 0.001. Conditional probability of BCR after surgery 1st year was 6.7%. Those who reach the 2nd year of surgery without recurrence had a relapse probability of 4%, (cumulative probability 9.8%) That probability falls to 3.5% after the 3rd year (cumulative probability 13%), 2% after the 4th year (cumulative probability 15%) and is 2.1% after the 5th year (cumulative probability 17%). After 10 years of follow-up without recurrence, the possibility of relapse was 0.8%, (cumulative probability 21%). Men without BCR had a clinical trend of higher CSM at 10 years (7% vs 2% no BCR; p 0.06). Within the patients who develop BCR, those with BCR in the first three years of follow-up had higher CSM (9% vs 4% for BCR after 3 years; p 0.04). Conclusions: BRC free survival outcomes are affected by risk factors associated with type of surgery and prognosis in PCa. The period elapsed from RP is associated with BCR-free survival and the risk of recurrence decrease with increasing survival.

Impact of testosterone replacement therapy after radical prostatectomy on prostate cancer outcomes.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 100-100
Author(s):  
Reith Sarkar ◽  
J Kellogg Parsons ◽  
John Paul Einck ◽  
Arno James Mundt ◽  
A. Karim Kader ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Radical Prostatectomy ◽  
Cancer Patients ◽  
Biochemical Recurrence ◽  
Testosterone Replacement ◽  
Testosterone Replacement Therapy ◽  
Recurrence Free Survival ◽  
Free Survival

100 Background: Currently there is little data to guide the use of post-radical prostatectomy (RP) testosterone replacement therapy in prostate cancer. We sought to evaluate the impact of post-RP testosterone replacement on prostate cancer outcomes in a large national cohort. Methods: We conducted a population-based cohort study using the Veterans Affairs Informatics and Computing Infrastructure. We identified node-negative and non-metastatic prostate cancer patients diagnosed between 2001-2015 treated with RP. We excluded patients for missing covariate and follow-up data. We then coded receipt of testosterone replacement after RP as a time-dependent covariate. Other covariates included: age, Charlson Comorbidity index, diagnosis year, body mass index, race, PSA, clinical T/N/M stage, Gleason score, and receipt of hormone therapy. Biochemical recurrence was defined as a post-RP PSA≥0.2. We evaluated prostate cancer-specific survival, overall survival, and biochemical recurrence free survival using multivariable Cox regression. Results: Our cohort included 28,651 patients, of whom 469 (1.6%) received testosterone replacement after RP. Median follow up was 7.4 years. There were no differences in clinical T stage, median post-RP PSA (testosterone: 0 non-testosterone: 0; p = 0.18), or hormone therapy use between treatment groups. Testosterone patients were more likely to be of younger age, have higher comorbidity, non-black, have a lower median pre-treatment PSA (5.0 vs 5.8; p < 0.001), and have higher BMI. The median time from RP to TRT was 3.0 years. After controlling for potential confounders, we found no difference in prostate cancer specific mortality (HR 0.73; 95% CI 0.32-1.62; p = 0.43), overall survival (HR 1.11; 95% CI 0.86-1.44; p = 0.43), non-cancer mortality (HR 1.17; 95% CI 0.89-1.55; p = 0.26) biochemical recurrence free survival (HR 1.07; 95% CI 0.84-1.36; p = 0.59) between testosterone users and non-users. Conclusions: Our results suggest that testosterone replacement is safe in prostate cancer patients who have undergone RP, though prospective data is necessary to confirm this finding.

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