Journal article
Predicting pathological outcomes in patients undergoing robot-assisted radical prostatectomy for high-risk prostate cancer: a preoperative nomogram
BJU international, Vol.116(5), pp.703-712
11/2015
DOI: 10.1111/bju.12998
PMID: 25413443
Abstract
Objective
To identify which high-risk patients with prostate cancer may harbour favourable pathological outcomes at radical prostatectomy (RP).
Patients and methods
We evaluated 810 patients with high-risk prostate cancer, defined as having one or more of the following: PSA level of >20 ng/mL, Gleason score >= 8, clinical stage >= T2c. Patients underwent robot-assisted RP (RARP) with pelvic lymph node dissection, between 2003 and 2012, in one centre. Only 1.6% (13/810) of patients received any adjuvant treatment. Favourable pathological outcome was defined as specimen-confined disease (SCD; pT2-T3a, node negative, and negative surgical margins) at RARP-specimen. Logistic regression models were used to test the relationship among all available predicators and harbouring SCD. A logistic regression coefficient-based nomogram was constructed and internally validated using 200 bootstrap resamples. Kaplan-Meier method estimated biochemical recurrence (BCR)-free and cancer-specific mortality (CSM)-free survival rates, after stratification according to pathological disease status.
Results
Overall, 55.2% patients harboured SCD at RARP. At multivariable analysis, PSA level, clinical stage, primary/secondary Gleason scores, and maximum percentage tumour quartiles were all independent predictors of SCD (all P < 0.04). A nomogram based on these variables showed 76% discrimination accuracy in predicting SCD, and very favourable calibration characteristics. Patients with SCD had significantly higher 8-year BCR- (72.7% vs 31.7%, P < 0.001) and CSM-free survival rates (100% vs 86.9%, P < 0.001) than patients with non-SCD.
Conclusions
We developed a novel nomogram predicting SCD at RARP. Patients with SCD achieved favourable long-term BCR-and CSM-free survival rates after RARP. The nomogram may be used to support clinical decision-making, and aid in selection of patients with high-risk prostate cancer most likely to benefit from RARP.
Details
- Title: Subtitle
- Predicting pathological outcomes in patients undergoing robot-assisted radical prostatectomy for high-risk prostate cancer: a preoperative nomogram
- Creators
- Firas Abdollah - Henry Ford Health SystemDane E. Klett - Henry Ford Health SystemAkshay Sood - Henry Ford Hlth Syst, Ctr Outcomes Res Analyt & Evaluat, Vattikuti Urol Inst, Detroit, MI 48202 USAJesse D. Sammon - Henry Ford Health SystemDaniel Pucheril - Henry Ford Health SystemDeepansh Dalela - Henry Ford Health SystemMireya Diaz - Henry Ford Health SystemJames O. Peabody - Henry Ford Health SystemQuoc-Dien Trinh - Harvard UniversityMani Menon - Henry Ford Health System
- Resource Type
- Journal article
- Publication Details
- BJU international, Vol.116(5), pp.703-712
- DOI
- 10.1111/bju.12998
- PMID
- 25413443
- NLM abbreviation
- BJU Int
- ISSN
- 1464-4096
- eISSN
- 1464-410X
- Publisher
- Wiley
- Number of pages
- 10
- Language
- English
- Date published
- 11/2015
- Academic Unit
- Urology
- Record Identifier
- 9984949456602771
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