Positive Surgical Margins Predict Progression-free Survival After Nephron-sparing Surgery for Renal Cell Carcinoma: Results From a Single Center Cohort of 459 Cases With a Minimum Follow-up of 5 Years.

BACKGROUND: The role of positive surgical margins (PSMs) on the recurrence of renal cell carcinoma (RCC) after partial nephrectomy (PN) is debated, and available evidence lacks long-term data. The aim of this study was to evaluate the predictive role of PSMs on progression-free survival (PFS) in a large cohort followed for at least 5 years. METHODS: This study was a retrospective analysis of a prospectively compiled single-institution database collecting complete information on more than 2700 patients who had undergone surgery for renal tumor. The data of all the patients submitted to PN for RCC and with least 5 years follow-up were extracted. Surgical specimens were examined at the time of surgery only by 2 expert uro-pathologists. A PSM was defined as the presence of cancer cells at the inked surface of the specimen. The role of PSMs on survival was estimated by Cox regression models adjusted for influent covariates. RESULTS: A total of 459 patients fulfilled the inclusion criteria and were evaluated. PSMs were observed in 27 (5.9%) cases. No differences in preoperative and pathologic data were found comparing patients with and without PSMs. At a median follow-up of 96 months (interquartile range, 74-131 months), a clinically evident relapse of RCC was diagnosed in 36 (7.8%) patients at a median interval of 36 months from PN. Among these, 6 had a PSM for an incidence of relapse of 22.2% in the PSM group, whereas 30 had negative margins, for an incidence of 6.9% (P = .013). The sites of relapse were distant organs in 18 cases, and the kidney underwent PN in 21. The patients with PSMs showed a borderline significantly higher incidence of distant metastasis (11.1% vs. 3.5%; P = .071) and a significantly higher incidence of renal relapses (14.8% vs. 3.9%; P = .029). Multivariable Cox models confirmed that the presence of PSMs was an independent predictor of PFS (odds ratio, 3.127; P = .013). CONCLUSIONS: PSMs are an independent predictor of PFS in patients who underwent PN for RCC, owing to a higher incidence of distant and local relapses. Surveillance in presence of PSMs should be intensified and extended for a long time.

External Validation of the Arterial-Based Complexity Score and First Head-to-Head Comparison With the R.E.N.A.L. and PADUA Scores and C-index.

INTRODUCTION: We performed an external validation of the arterial-based complexity (ABC) score using a head-to-head comparison with the R.E.N.A.L. (radius, exophytic/endophytic tumor properties, nearness of tumor to deepest portion of collecting system or sinus, anterior/posterior descriptor, location relative to the polar line), PADUA (preoperative aspects and dimension for anatomic classification of renal tumors), and C-index scores for the prediction of surgical outcomes after partial nephrectomy. MATERIALS AND METHODS: The data from a series of consecutive open or robot-assisted partial nephrectomies performed from January 2014 to July 2016 by 4 expert surgeons at a tertiary academic institution were reviewed. After dedicated training, 1 urologist not involved in the surgical procedures evaluated the cross-sectional imaging studies and assigned the nephrometry score using the 4 nephrometry scoring systems. The predictive performance of the ABC and other scoring systems was tested in univariate and multivariable fashion. RESULTS: Overall, 234 patients were recruited (148 men and 86 women; age, 63 ± 10.9 years). The scores were all related to the estimated blood loss, use of hilar clamping, ischemia time, operative time, length of stay, and MIC (margin status, ischemia time, complications) score. They were not related to the occurrence of postoperative complications or, for the C-index and ABC score, the length of stay. In a head-to-head comparison, the ABC was not inferior only to the C-index relative to the occurrence of complications and MIC score, with borderline statistical significance. On multivariate analysis, the ABC score provided significant improvement only for the prediction of the operative and ischemia times. However, its performance was inferior to that of the other scoring systems. In addition, only the PADUA score improved the prediction of artery clamping and MIC score, and only the R.E.N.A.L. score showed an advantage for the prediction of the estimated blood loss. CONCLUSION: The predictive ability of ABC was inferior to that of well-established existing nephrometry scoring systems, such as the PADUA and R.E.N.A.L. scores.