Prediction of organ-confined disease after robot-assisted radical prostatectomy in patients with clinically locally-advanced prostate cancer

Ho Won Kang, Hae Do Jung, Joo Yong Lee, Jong Kyou Kwon, Seong Uk Jeh, Kang Su Cho, Won Sik Ham, Young Deuk Choi

Research output: Contribution to journalArticle

Abstract

Background: Little is known about the preoperative predictive factors that could identify subsets of favorable patients who can be possibly cured with robot-assisted radical prostatectomy (RARP) alone in locally advanced prostate cancer (LAPCa). Our study was designed to identify clinical predictors of pathologic organ-confined disease (pOCD) in RARP setting. Methods: Between 2007 and 2013, clinicopathological and oncological data from 273 consecutive men undergoing robot-assisted RP with extended PLND for clinically LAPCa were reviewed in a single-institution, retrospectively. After exclusion of patients who received neoadjuvant hormone treatment before surgery, 186 subjects satisfied the final inclusion criteria. Results: Fourty-three patients (23.1% of total cohort) with preoperative clinically LAPCa patients were down-staged to pOCD following RARP. Preoperative prostate-specific antigen (PSA) level, preoperative PSAD, positive core percent, maximal tumor volume in any core, and biopsy Gleason score were significantly associated with down-staging into pOCD following RARP. Multivariate logistic regression analysis revealed that lower preoperative PSA (≤10 ng/mL) and maximal tumor volume in any core (≤70%) were independent predictors of pOCD following RARP. Conclusions: Approximately 23% of preoperative clinically LAPCa patients were down-staged to pOCD following RARP. Preoperative PSA and maximal tumor volume in any biopsy core might be useful clinical predictors of pOCD in clinically LAPCa patients in RARP setting.

Original languageEnglish
Pages (from-to)120-125
Number of pages6
JournalAsian Journal of Surgery
Volume42
Issue number1
DOIs
Publication statusPublished - 2019 Jan

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All Science Journal Classification (ASJC) codes

  • Surgery

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