Aim: To evaluate the preoperative predictors of pathological lymph node (LN) metastasis and prognostic factors for postoperative biochemical recurrence (BCR) in robot-assisted radical prostatectomy with extended pelvic LN dissection in patients with D'Amico high-risk prostate cancer (PCa). Patients and Methods: Overall, 107 patients with D'Amico high-risk PCa underwent robot-assisted radical prostatectomy with extended pelvic LN dissection without neoadjuvant or adjuvant therapy. BCR was defined as a prostate-specific antigen (PSA) level ≥0.2 ng/ml. Moreover, BCR-free survival rates were determined using Kaplan-Meier analysis. Logistic regression analysis was used to evaluate preoperative predictors of pathological LN metastasis. Cox regression analysis was used to evaluate the effects of preoperative and pathologic variables on BCR. Results: The median follow-up was 21 months, and the 5-year BCR-free survival rate was 59.8%. The positive LN rate was 21.5%. In multivariate analysis, the percentage of positive cores was a significant preoperative predictor of positive LNs. Patients with >50% positive cores (p=0.004) and PSA density (PSAD) >0.5 ng/ml/cc (p=0.005) had a high risk of having ≥3 positive LNs. In multivariate analysis, PSAD >0.5% was a significant preoperative predictor of BCR. Among the postoperative predictors, the number of positive LNs was significantly associated with BCR. Patients with ≥3 positive LNs (n=7) had significantly lower BCR-free survival rates than patients with one or two positive LNs (n=16) (p<0.001). Patients with >50% positive cores and PSAD >0.5 ng/ml/cc had a risk for a high number of positive LNs (≥3) that was strongly associated with shorter BCR-free survival (p<0.001). Conclusion: The percentage of positive cores may be useful as a preoperative predictor of pathological LN metastasis in patients with high-risk PCa. Patients with >50% positive cores and PSAD >0.5 ng/ml/cc were found to have a high risk for ≥3 positive LNs and shorter BCR-free survival. Copyright 2022, International Institute of Anticancer Research.
Aim: To evaluate the preoperative predictors of pathological lymph node (LN) metastasis and prognostic factors for postoperative biochemical recurrence (BCR) in robot-assisted radical prostatectomy with extended pelvic LN dissection in patients with D'Amico high-risk prostate cancer (PCa). Patients and Methods: Overall, 107 patients with D'Amico high-risk PCa underwent robot-assisted radical prostatectomy with extended pelvic LN dissection without neoadjuvant or adjuvant therapy. BCR was defined as a prostate-specific antigen (PSA) level ≥0.2 ng/ml. Moreover, BCR-free survival rates were determined using Kaplan-Meier analysis. Logistic regression analysis was used to evaluate preoperative predictors of pathological LN metastasis. Cox regression analysis was used to evaluate the effects of preoperative and pathologic variables on BCR. Results: The median follow-up was 21 months, and the 5-year BCR-free survival rate was 59.8%. The positive LN rate was 21.5%. In multivariate analysis, the percentage of positive cores was a significant preoperative predictor of positive LNs. Patients with >50% positive cores (p=0.004) and PSA density (PSAD) >0.5 ng/ml/cc (p=0.005) had a high risk of having ≥3 positive LNs. In multivariate analysis, PSAD >0.5% was a significant preoperative predictor of BCR. Among the postoperative predictors, the number of positive LNs was significantly associated with BCR. Patients with ≥3 positive LNs (n=7) had significantly lower BCR-free survival rates than patients with one or two positive LNs (n=16) (p<0.001). Patients with >50% positive cores and PSAD >0.5 ng/ml/cc had a risk for a high number of positive LNs (≥3) that was strongly associated with shorter BCR-free survival (p<0.001). Conclusion: The percentage of positive cores may be useful as a preoperative predictor of pathological LN metastasis in patients with high-risk PCa. Patients with >50% positive cores and PSAD >0.5 ng/ml/cc were found to have a high risk for ≥3 positive LNs and shorter BCR-free survival. Copyright 2022, International Institute of Anticancer Research.
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