Prostate Cancer Death of Men Treated With Initial Active Surveillance: Clinical and Biochemical Characteristics

2010 ◽  
Vol 184 (1) ◽  
pp. 131-135 ◽  
Author(s):  
Yonah Krakowsky ◽  
Andrew Loblaw ◽  
Laurence Klotz
2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 5081-5081
Author(s):  
Tom Edward Ahlering ◽  
Erica Huang ◽  
Linda My Huynh ◽  
Huang Wei Su

5081 Background: Biochemical recurrence (BCR) following radical prostatectomy (RP) is an unreliable predictor of distant metastatic progression/prostate cancer death, resulting in potential complications & expenses of overtreatment. Little has been published on management decisions & outcomes of active surveillance (AS). We characterize our long term experience with AS following post-RP BCR without radiation/androgen deprivation therapy. Methods: From June 2002 - September 2019, 1865 men underwent RP. 406 experienced BCR; of these, 138 (34%) were observed without treatment intervention. BCR defined as PSA>0.2 ng/dl, x2. PSAs checked every 1-3 months and entered into a PSADT graph. Men were considered to be formally AS after 3+ years of increasing DT following RP. Men with decreasing DT were treated and censored. Results: The table depicts demographics of the AS patients; median follow-up was 7.3 years (IQR: 4.6-10.6) post-RP. Of patients on AS, average age was 63.7 +/- 7.2 years and 86%, 48%, 40%, 51% and 14% were GG 1 through 5, respectively. Current DT of AS patients averages 20 months, with 0% PCSM. Only 10% of patients with decreasing DT began treatment after average 4 years following BCR. Conclusions: Of 406 patients experiencing post-RP BCR, 34% of patients are effectively managed with AS, with 0% PCSM across all GG. Presently 69 (50%) AS men have been under observation for 7.3 to 18 years. This suggests that significant portion of patients display benign recurrence, characterized by increasing DT following BCR and can be managed safely with observation alone.[Table: see text]


2013 ◽  
Vol 189 (4S) ◽  
Author(s):  
Matthew Cooperberg ◽  
Anamaria Crisan ◽  
Anirban Mitra ◽  
Mercedeh Ghadessi ◽  
Christine Buerki ◽  
...  

Author(s):  
A. I. Peltomaa ◽  
P. Raittinen ◽  
K. Talala ◽  
K. Taari ◽  
T. L. J. Tammela ◽  
...  

Abstract Purpose Statins’ cholesterol-lowering efficacy is well-known. Recent epidemiological studies have found that inhibition of cholesterol synthesis may have beneficial effects on prostate cancer (PCa) patients, especially patients treated with androgen deprivation therapy (ADT). We evaluated statins’ effect on prostate cancer prognosis among patients treated with ADT. Materials and methods Our study population consisted of 8253 PCa patients detected among the study population of the Finnish randomized study of screening for prostate cancer. These were limited to 4428 men who initiated ADT during the follow-up. Cox proportional regression model adjusted for tumor clinical characteristics and comorbidities was used to estimate hazard ratios for risk of PSA relapse after ADT initiation and prostate cancer death. Results During the median follow-up of 6.3 years after the ADT initiation, there were 834 PCa deaths and 1565 PSA relapses in a study cohort. Statin use after ADT was associated with a decreased risk of PSA relapse (HR 0.73, 95% CI 0.65–0.82) and prostate cancer death (HR 0.82; 95% CI 0.69–0.96). In contrast, statin use defined with a one-year lag (HR 0.89, 95% CI 0.76–1.04), statin use before ADT initiation (HR 1.12, 95% CI 0.96–1.31), and use in the first year on ADT (HR 1.02, 95% CI 0.85–1.24) were not associated with prostate cancer death, without dose dependency. Conclusion Statin use after initiation of ADT, but not before, was associated with improved prostate cancer prognosis.


Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 330 ◽  
Author(s):  
Muhammad Aslam ◽  
Mohammed Albassam

This paper presents an epidemiological study on the dietary fat that causes prostate cancer in an uncertainty environment. To study this relationship under the indeterminate environment, data from 30 countries are selected for the prostate cancer death rate and dietary fat level in the food. The neutrosophic correlation and regression line are fitted on the data. We note from the neutrosophic analysis that the prostate cancer death rate increases as the dietary fat level in the people increases. The neutrosophic regression coefficient also confirms this claim. From this study, we conclude that neutrosophic regression is a more effective model under uncertainty than the regression model under classical statistics. We also found a statistical correlation between dietary fat and prostate cancer risk.


2019 ◽  
Vol 32 (9) ◽  
pp. 1303-1309 ◽  
Author(s):  
Solène-Florence Kammerer-Jacquet ◽  
Amar Ahmad ◽  
Henrik Møller ◽  
Holly Sandu ◽  
Peter Scardino ◽  
...  

2019 ◽  
Vol 188 (6) ◽  
pp. 1165-1173 ◽  
Author(s):  
Renata Zelic ◽  
Daniela Zugna ◽  
Matteo Bottai ◽  
Ove Andrén ◽  
Jonna Fridfeldt ◽  
...  

Abstract In this paper, we describe the Prognostic Factors for Mortality in Prostate Cancer (ProMort) study and use it to demonstrate how the weighted likelihood method can be used in nested case-control studies to estimate both relative and absolute risks in the competing-risks setting. ProMort is a case-control study nested within the National Prostate Cancer Register (NPCR) of Sweden, comprising 1,710 men diagnosed with low- or intermediate-risk prostate cancer between 1998 and 2011 who died from prostate cancer (cases) and 1,710 matched controls. Cause-specific hazard ratios and cumulative incidence functions (CIFs) for prostate cancer death were estimated in ProMort using weighted flexible parametric models and compared with the corresponding estimates from the NPCR cohort. We further drew 1,500 random nested case-control subsamples of the NPCR cohort and quantified the bias in the hazard ratio and CIF estimates. Finally, we compared the ProMort estimates with those obtained by augmenting competing-risks cases and by augmenting both competing-risks cases and controls. The hazard ratios for prostate cancer death estimated in ProMort were comparable to those in the NPCR. The hazard ratios for dying from other causes were biased, which introduced bias in the CIFs estimated in the competing-risks setting. When augmenting both competing-risks cases and controls, the bias was reduced.


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