PURPOSE: To assess survival and competing causes of mortality in prostate cancer (PCa) patients referred to radical prostatectomy through a combination of unfavorable characteristics. PATIENTS AND METHODS: We evaluated 615 PCa patients referred to radical prostatectomy and pelvic lymph node dissection at single tertiary-care center with at least one adverse feature (AF): preoperative prostate-specific antigen ≥ 20 ng/mL, pathologic Gleason score 8 to 10, and no organ-confined disease at final pathology (seminal vesicle involvement, positive surgical margins, and/or lymph node invasion). Kaplan-Meier analyses were used to assess cancer-specific mortality (CSM)-free survival rates by stratifying patients into 3 risk categories according to the number of AFs (namely, 1, 2, and 3 AFs). Multivariable competing risk Cox regression analyses were used to assess CSM and other cause of mortality. RESULTS: Significant differences were found in terms of preoperative and pathologic tumor characteristics, adjuvant therapies, and biochemical recurrence (BCR). Men with 1 AF had higher CSM-free survival estimates compared to those with 2 and 3 AFs (92.8% vs. 84.2% vs. 27.7% at 10 years' follow-up, P < .001). Moreover, the presence of 3 AFs (hazard ratio [HR], 2.96), postoperative adjuvant treatment status (HR, 2.44), and time to BCR (HR, 0.96) were all independent predictors of CSM (P ≤ .04). Age at surgery and time to BCR were the only independent predictors of other causes of mortality (P ≤ .0009). CONCLUSION: The risk group stratification according to the number of AFs could help physicians to accurately predict oncologic outcomes and to select PCa patients for the most appropriate postoperative strategies.

Adverse Features and Competing Risk Mortality in Patients With High-Risk Prostate Cancer

LA MANNA, GAETANO;PORRECA, ANGELO;
2017-01-01

Abstract

PURPOSE: To assess survival and competing causes of mortality in prostate cancer (PCa) patients referred to radical prostatectomy through a combination of unfavorable characteristics. PATIENTS AND METHODS: We evaluated 615 PCa patients referred to radical prostatectomy and pelvic lymph node dissection at single tertiary-care center with at least one adverse feature (AF): preoperative prostate-specific antigen ≥ 20 ng/mL, pathologic Gleason score 8 to 10, and no organ-confined disease at final pathology (seminal vesicle involvement, positive surgical margins, and/or lymph node invasion). Kaplan-Meier analyses were used to assess cancer-specific mortality (CSM)-free survival rates by stratifying patients into 3 risk categories according to the number of AFs (namely, 1, 2, and 3 AFs). Multivariable competing risk Cox regression analyses were used to assess CSM and other cause of mortality. RESULTS: Significant differences were found in terms of preoperative and pathologic tumor characteristics, adjuvant therapies, and biochemical recurrence (BCR). Men with 1 AF had higher CSM-free survival estimates compared to those with 2 and 3 AFs (92.8% vs. 84.2% vs. 27.7% at 10 years' follow-up, P < .001). Moreover, the presence of 3 AFs (hazard ratio [HR], 2.96), postoperative adjuvant treatment status (HR, 2.44), and time to BCR (HR, 0.96) were all independent predictors of CSM (P ≤ .04). Age at surgery and time to BCR were the only independent predictors of other causes of mortality (P ≤ .0009). CONCLUSION: The risk group stratification according to the number of AFs could help physicians to accurately predict oncologic outcomes and to select PCa patients for the most appropriate postoperative strategies.
2017
Competing causes of mortality
Prognosis
Radical prostatectomy
Risk category
Survival
Oncology
Urology
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/90694
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