Stratification based on adverse laboratory/pathological features for predicting overall survival in patients undergoing radical prostatectomy: A K-CaP registry-based analysis

Jee Soo Park, Kyo Chul Koo, In Young Choi, Ji Youl Lee, Jun Hyuk Hong, Choung Soo Kim, Hyun Moo Lee, Sung Kyu Hong, Seok Soo Byun, Koon Ho Rha, Byung Ha Chung, Kwang Suk Lee

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Abstract

When making clinical decisions concerning additional treatment for patients who have undergone radical prostatectomy (RP), adverse laboratory/pathological features are considered major factors. We investigated and compared the prognostic efficacy of adverse laboratory/pathological features in predicting overall survival (OS) and biochemical failure (BCF) in these patients.The Korean Prostate Cancer Database was used to identify patients undergoing RP between May 2001 and April 2013. Patients with incomplete clinicopathological data or positive lymphadenectomy results were excluded. Finally, 4486 patients included in the final analysis were categorized based on their adverse laboratory/pathological features.Adverse pathological features and detectable prostate-specific antigen (PSA) levels 6 weeks after surgery were observed in 1977 (44.1%) and 634 (14.1%) patients, respectively. PSA levels, pathological Gleason score ≥8, adverse pathological features [positive surgical margin (PSM), seminal vesicle invasion (SVI), and extracapsular extension (ECE)], and adverse laboratory features (detectable PSA levels after 6 weeks) together were significant predictors of BCF-free survival (BCFFS). SVI was identified as a predictor of OS. Additionally, patients with ECE, PSM, and detectable PSA levels after 6 weeks, but without SVI, showed similar OS to those without ECE, PSM, and detectable PSA levels after 6 weeks and with SVI (log-rank test, P = .976).We successfully stratified patients based on adverse laboratory/pathological features after RP and demonstrated that these are important prognostic factors for OS and BCFFS. Additionally, we identified the criteria for selecting appropriate patients for undergoing additional treatment based on OS and BCFFS.

Original languageEnglish
Pages (from-to)e17931
JournalMedicine
Volume98
Issue number45
DOIs
Publication statusPublished - 2019 Nov 1

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All Science Journal Classification (ASJC) codes

  • Medicine(all)

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