Literature DB >> 27641658

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

Valerio Vagnoni1, Lorenzo Bianchi1, Marco Borghesi2, Cristian Vincenzo Pultrone1, Hussam Dababneh1, Francesco Chessa1, Gaetano La Manna3, Simona Rizzi1, Angelo Porreca4, Eugenio Brunocilla1, Giuseppe Martorana1, Riccardo Schiavina1.   

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Competing causes of mortality; Prognosis; Radical prostatectomy; Risk category; Survival

Mesh:

Substances:

Year:  2016        PMID: 27641658     DOI: 10.1016/j.clgc.2016.08.016

Source DB:  PubMed          Journal:  Clin Genitourin Cancer        ISSN: 1558-7673            Impact factor:   2.872


  6 in total

1.  The significance of De Ritis (aspartate transaminase/alanine transaminase) ratio in predicting pathological outcomes and prognosis in localized prostate cancer patients.

Authors:  Huitao Wang; Kewei Fang; Jinsong Zhang; Yongming Jiang; Guang Wang; Haiyan Zhang; Tao Chen; Xin Shi; Yuhang Li; Fei Duan; Jianhe Liu
Journal:  Int Urol Nephrol       Date:  2017-05-26       Impact factor: 2.370

2.  Development and validation of a preoperative nomogram for predicting survival of patients with locally advanced prostate cancer after radical prostatectomy.

Authors:  Xianghong Zhou; Qingyang Ning; Kun Jin; Tao Zhang; Xuelei Ma
Journal:  BMC Cancer       Date:  2020-02-04       Impact factor: 4.430

3.  Predicting Cancer-Specific Survival Among Patients With Prostate Cancer After Radical Prostatectomy Based on the Competing Risk Model: Population-Based Study.

Authors:  Xianghong Zhou; Shi Qiu; Kun Jin; Qiming Yuan; Di Jin; Zilong Zhang; Xiaonan Zheng; Jiakun Li; Qiang Wei; Lu Yang
Journal:  Front Surg       Date:  2021-11-26

4.  "In-Bore" MRI-Guided Prostate Biopsy for Prostate Cancer Diagnosis: Results from 140 Consecutive Patients.

Authors:  Daniele D'Agostino; Daniele Romagnoli; Marco Giampaoli; Federico Mineo Bianchi; Paolo Corsi; Alessandro Del Rosso; Riccardo Schiavina; Eugenio Brunocilla; Walter Artibani; Angelo Porreca
Journal:  Curr Urol       Date:  2020-03-20

5.  Prognosis of men with high-risk prostate cancer stratified by risk factors: a population-based retrospective cohort study.

Authors:  Pan Song; Jiaxiang Wang; Mengxuan Shu; Xiaoyu Di; Yaxin Li; Yuxin Qing; Qiang Dong
Journal:  Transl Cancer Res       Date:  2020-10       Impact factor: 1.241

6.  Adding systematic biopsy to magnetic resonance ultrasound fusion targeted biopsy of the prostate in men with previous negative biopsy or enrolled in active surveillance programs: A prospective single center, randomized study.

Authors:  Angelo Porreca; Francesco Del Giudice; Marco Giampaoli; Daniele D'Agostino; Daniele Romagnoli; Paolo Corsi; Alessandro Del Rosso; Martina Maggi; Benjamin I Chung; Matteo Ferro; Ottavio de Cobelli; Giuseppe Lucarelli; Riccardo Schiavina; Ettore De Berardinis; Alessandro Sciarra; Gian Maria Busetto
Journal:  Medicine (Baltimore)       Date:  2020-09-11       Impact factor: 1.817

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.