| Literature DB >> 28905289 |
Avinash Chenam1, Jaspreet S Parihar2, Nora Ruel3, Sumanta Pal4, Yvonne Avila2, Jonathan Yamzon2, Clayton Lau2, Bertram Yuh2.
Abstract
Optimal management of node-positive prostate cancer patients after prostatectomy remains a challenge. We evaluated clinically localized patients who demonstrated node positivity and identified predictors for secondary treatment. From 2010 to 2015, clinically localized prostate cancer patients who underwent robot prostatectomy with extended lymphadenectomy and node-positive disease on pathologic analysis were identified. Clinical N1, M1 or salvage cases were excluded. Patients were stratified based on secondary treatments. Kaplan-Meier method was used to determine the time to biochemical and metastatic recurrence. Multivariate logistic regression was used to identify predictors for additional treatment. 145 patients (45 no additional therapy, 47 adjuvant, 53 salvage) had a median follow-up of 31.2 months. Salvage patients had higher median pre-operative prostate-specific antigen (10.8 vs. 9.7 vs. 8.2, p = 0.1), higher percentage of pathologic Gleason ≥8 (50.9 vs. 38.3% and 22.2%, p < 0.01), and higher median-positive nodes (3 vs. 1 and 1, p < 0.0001) compared to adjuvant and no treatment groups, respectively. Pathologic Gleason ≥8 (OR = 3.5, p = 0.007) and positive nodes ≥2 (OR = 3.3, p = 0.006) were associated with additional therapy. In the no treatment group, two-year estimated BCRFS was 74.3%. Two-year metastatic recurrence-free rates for no treatment, adjuvant and salvage groups were 100, 87.5, and 80.9%, respectively (p = 0.01). Observation is a viable alternative for low metastatic burden patients. In the largest series of node-positive patients from robotic prostatectomy and extended lymphadenectomy, those with pathologic Gleason ≥8 and positive lymph nodes ≥2 were more likely to receive additional treatment.Entities:
Keywords: Adjuvant; Extended lymph node dissection; Lymph node positive; Prostate cancer; Robotic prostatectomy; Salvage
Mesh:
Year: 2017 PMID: 28905289 DOI: 10.1007/s11701-017-0751-8
Source DB: PubMed Journal: J Robot Surg ISSN: 1863-2483