| Literature DB >> 30027928 |
Hua Xu1,2, Yao Zhu1,2, Bo Dai1,2, Ding-Wei Ye1,2.
Abstract
This study aimed to assess the role of the National Comprehensive Cancer Network (NCCN) risk classification in predicting biochemical recurrence (BCR) after radical prostatectomy (RP) in Chinese prostate cancer patients. We included a consecutive cohort of 385 patients with prostate cancer who underwent RP at Fudan University Shanghai Cancer Center (Shanghai, China) from March 2011 to December 2014. Gleason grade groups were applied at analysis according to the 2014 International Society of Urological Pathology Consensus. Risk groups were stratified according to the NCCN Clinical Practice Guidelines in Oncology: Prostate Cancer version 1, 2017. All 385 patients were divided into BCR and non-BCR groups. The clinicopathological characteristics were compared using an independent sample t-test, Chi-squared test, and Fisher's exact test. BCR-free survival was compared using the log-rank test and multivariable Cox proportional hazard analysis. During median follow-up of 48 months (range: 1-78 months), 31 (8.05%) patients experienced BCR. The BCR group had higher prostate-specific antigen level at diagnosis (46.54 ± 39.58 ng ml-1 vs 21.02 ± 21.06 ng ml-1, P= 0.001), more advanced pT stage (P = 0.002), and higher pN1 rate (P < 0.001). NCCN risk classification was a significant predictor of BCR (P = 0.0006) and BCR-free survival (P = 0.003) after RP. As NCCN risk level increased, there was a significant decreasing trend in BCR-free survival rate (Ptrend = 0.0002). This study confirmed and validated that NCCN risk classification was a significant predictor of BCR and BCR-free survival after RP.Entities:
Keywords: National Comprehensive Cancer Network risk classification; biochemical recurrence; prostate cancer; radical prostatectomy
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Year: 2018 PMID: 30027928 PMCID: PMC6219292 DOI: 10.4103/aja.aja_52_18
Source DB: PubMed Journal: Asian J Androl ISSN: 1008-682X Impact factor: 3.285
Patient clinicopathological characteristics
Three years biochemical recurrence-free survival rate
Multivariable analysis of biochemical recurrence-free survival