G Simone1, G Tuderti2, M Ferriero2, R Papalia3, L Misuraca2, F Minisola2, M Costantini2, R Mastroianni3, S Sentinelli4, S Guaglianone2, M Gallucci2. 1. Department of Urology, "Regina Elena" National Cancer Institute, Rome, Italy. Electronic address: puldet@gmail.com. 2. Department of Urology, "Regina Elena" National Cancer Institute, Rome, Italy. 3. Department of Urology, "Campus Biomedico" University of Rome, Italy. 4. Department of Pathology, "Regina Elena" National Cancer Institute, Rome, Italy.
Abstract
AIM: To compare the cancer specific survival (CSS) between p2-RCC and a Propensity Score Matched (PSM) cohort of cc-RCC patients. METHODS: Fifty-five (4.6%) patients with p2-RCC and 920 cc-RCC patients were identified within a prospectively maintained institutional dataset of 1205 histologically proved RCC patients treated with either RN or PN. Univariable and multivariable Cox regression analyses were used to identify predictors of CSS after surgical treatment. A 1:2 PSM analysis based on independent predictors of oncologic outcomes was employed and CSS was compared between PSM selected cc-RCC patients using Kaplan-Meier and Cox regression analysis. RESULTS: Overall, 55 (4.6%) p2-RCC and 920 (76.3%) cc-RCC patients were selected from the database; p2-RCC were significantly larger (p = 0.001), more frequently locally advanced (p < 0.001) and node positive (p < 0.001) and had significantly higher Fuhrman grade (p < 0.001) than cc-RCC. On multivariable Cox regression analysis age (p = 0.025), histologic subtype (p = 0.029), pN stage (p = 0.006), size, pT stage, cM stage, sarcomatoid features and Fuhrman grade (all p < 0.001) were independent predictors of CSS. After applying the PSM, 82 cc-RCC selected cases were comparable to 41 p2-RCC for age (p = 0.81), tumor size (p = 0.39), pT (p = 1.00) and pN (p = 0.62) stages, cM stage (p = 0.71) and Fuhrman grade (p = 1). In this PSM cohort, 5 yr CSS was significantly lower in the p2-RCC (63% vs 72.4%; p = 0.047). At multivariable Cox analysis p2 histology was an independent predictor of CSM (HR 2.46, 95% CI 1.04-5.83; p = 0.041). CONCLUSIONS: We confirmed the tendency of p2-RCC to present as locally advanced and metastatic disease more frequently than cc-RCC and demonstrated p2-RCC histology as an independent predictor of worse oncologic outcomes.
AIM: To compare the cancer specific survival (CSS) between p2-RCC and a Propensity Score Matched (PSM) cohort of cc-RCCpatients. METHODS: Fifty-five (4.6%) patients with p2-RCC and 920 cc-RCCpatients were identified within a prospectively maintained institutional dataset of 1205 histologically proved RCCpatients treated with either RN or PN. Univariable and multivariable Cox regression analyses were used to identify predictors of CSS after surgical treatment. A 1:2 PSM analysis based on independent predictors of oncologic outcomes was employed and CSS was compared between PSM selected cc-RCCpatients using Kaplan-Meier and Cox regression analysis. RESULTS: Overall, 55 (4.6%) p2-RCC and 920 (76.3%) cc-RCCpatients were selected from the database; p2-RCC were significantly larger (p = 0.001), more frequently locally advanced (p < 0.001) and node positive (p < 0.001) and had significantly higher Fuhrman grade (p < 0.001) than cc-RCC. On multivariable Cox regression analysis age (p = 0.025), histologic subtype (p = 0.029), pN stage (p = 0.006), size, pT stage, cM stage, sarcomatoid features and Fuhrman grade (all p < 0.001) were independent predictors of CSS. After applying the PSM, 82 cc-RCC selected cases were comparable to 41 p2-RCC for age (p = 0.81), tumor size (p = 0.39), pT (p = 1.00) and pN (p = 0.62) stages, cM stage (p = 0.71) and Fuhrman grade (p = 1). In this PSM cohort, 5 yr CSS was significantly lower in the p2-RCC (63% vs 72.4%; p = 0.047). At multivariable Cox analysis p2 histology was an independent predictor of CSM (HR 2.46, 95% CI 1.04-5.83; p = 0.041). CONCLUSIONS: We confirmed the tendency of p2-RCC to present as locally advanced and metastatic disease more frequently than cc-RCC and demonstrated p2-RCC histology as an independent predictor of worse oncologic outcomes.
Authors: Giuseppe Rosiello; Carlotta Palumbo; Sophie Knipper; Angela Pecoraro; Stefano Luzzago; Pierre-Antoine St-Hilaire; Zhe Tian; Umberto Capitanio; Francesco Montorsi; Shahrokh F Shariat; Fred Saad; Alberto Briganti; Pierre I Karakiewicz Journal: World J Urol Date: 2020-04-06 Impact factor: 4.226
Authors: Sangjun Yoo; Dalsan You; In Gab Jeong; Cheryn Song; Bumsik Hong; Jun Hyuk Hong; Hanjong Ahn; Choung-Soo Kim Journal: J Cancer Res Clin Oncol Date: 2017-04-27 Impact factor: 4.553