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Conditional Survival and Time of Biochemical Recurrence of Localized Prostate Cancer in Japanese Patients Undergoing Laparoscopic Radical Prostatectomies

Authors :
Nobuyuki Nakajima
Koichiro Yamada
Tatsuya Otaki
Masayoshi Kawakami
Yoshiaki Kawamura
Keisuke Shigeta
Masahiro Nitta
Hakushi Kim
Akira Miyajima
Yuuki Shimizu
Masanori Hasegawa
Tatsuya Umemoto
Kazuya Hanai
Kentaro Nagao
Izumi Hanada
Sunao Shoji
Source :
Annals of Surgical Oncology. 28:1247-1253
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Using conditional survival (CS) analysis, we investigated whether the duration of survival without biochemical recurrence (BCR) of prostate cancer after laparoscopic radical prostatectomies (LRP) affected the BCR rate. We also investigated the impact of well-known risk factors for BCR.Between 2002 and 2014, 627 consecutive patients underwent LRPs at our institution. Prostate-specific antigen (PSA) concentrations above 0.2 ng/mL were defined as BCR. Conditional BCR-free survival rates were determined through Kaplan-Meier analysis. Assessment of potential BCR risk factors was performed using a Cox proportional hazard analysis.The 10-year BCR-free rates after LRP increased to 82.4%, 84.5%, 86.6%, 90.1%, and 94.7% in patients surviving 1, 2, 3, 5, and 7.5 years without BCR, respectively. Multivariate analyses of age, PSA concentrations, neoadjuvant therapy, and pathological findings were performed for all patients. In all patients, positive surgical margins (PSM) and Gleason Grade Groups (GG) ≥ 4 were independent risk factors for BCR (p 0.001, hazard ratio [HR] = 2.45; and p 0.001, HR = 2.83, respectively,). Similarly, PSM and GG ≥ 4 were significant risk factors in patients surviving 1-5 years without BCR. No clear risk factors were observed in patients surviving 5 years without BCR after LRPs.The BCR-free rate increased with time after LRP. It is recommended that patients with PSM, GG ≥ 4, or with both factors are strictly monitored for 5 years postoperatively. CS analysis is particularly useful for predicting the postoperative course of patients.

Details

ISSN :
15344681 and 10689265
Volume :
28
Database :
OpenAIRE
Journal :
Annals of Surgical Oncology
Accession number :
edsair.doi.dedup.....3303daa1d511bed356a3bcb535050d50
Full Text :
https://doi.org/10.1245/s10434-020-08770-6