PURPOSE: Collecting duct renal cell carcinoma is a rare, aggressive histological subtype of renal cell carcinoma. Since few groups have evaluated the oncological prognosis in these patients based on clinical and pathological parameters, we assessed parameters prognostic for disease specific mortality. MATERIALS AND METHODS: From a cohort of 14,047 patients with renal cell carcinoma we retrieved the records of 95 with collecting duct renal cell carcinoma at a total of 16 European and American centers of the CORONA (Collaborative Research on Renal Neoplasms Association) and SATURN (Surveillance and Treatment Update Renal Neoplasms) projects, and another 2 centers. Multivariable Cox regression analysis was applied to determine the influence of parameters on disease specific mortality. Median followup was 48.1 months (IQR 24-103). RESULTS: The disease specific survival rate at 1, 2, 5 and 10 years was 60.4%, 47.3%, 40.3% and 32.8%, respectively. American Society of Anesthesiologists (ASA) score 3-4, tumor size greater than 7 cm, stage M1, Fuhrman grade 3-4 and lymphovascular invasion independently predicted disease specific mortality. Based on these parameters, patients were divided into 26 (27%) at low, 13 (14%) at intermediate and 56 (59%) at high risk with a 5-year disease specific survival rate of 96%, 62% and 8%, respectively (bootstrap corrected c-index 0.894, 95% CI 0.820-0.967, p <0.001). CONCLUSIONS: While patients with collecting duct renal cell carcinoma are commonly diagnosed at advanced stage and have poor prognosis after surgery, a subset has excellent survival. Histopathological features can help risk stratify patients based on the described, highly accurate risk model to predict disease specific mortality, facilitating patient counseling and risk based clinical decision making for adjuvant therapy and clinical trial inclusion.
PURPOSE: Collecting duct renal cell carcinoma is a rare, aggressive histological subtype of renal cell carcinoma. Since few groups have evaluated the oncological prognosis in these patients based on clinical and pathological parameters, we assessed parameters prognostic for disease specific mortality. MATERIALS AND METHODS: From a cohort of 14,047 patients with renal cell carcinoma we retrieved the records of 95 with collecting duct renal cell carcinoma at a total of 16 European and American centers of the CORONA (Collaborative Research on Renal Neoplasms Association) and SATURN (Surveillance and Treatment Update Renal Neoplasms) projects, and another 2 centers. Multivariable Cox regression analysis was applied to determine the influence of parameters on disease specific mortality. Median followup was 48.1 months (IQR 24-103). RESULTS: The disease specific survival rate at 1, 2, 5 and 10 years was 60.4%, 47.3%, 40.3% and 32.8%, respectively. American Society of Anesthesiologists (ASA) score 3-4, tumor size greater than 7 cm, stage M1, Fuhrman grade 3-4 and lymphovascular invasion independently predicted disease specific mortality. Based on these parameters, patients were divided into 26 (27%) at low, 13 (14%) at intermediate and 56 (59%) at high risk with a 5-year disease specific survival rate of 96%, 62% and 8%, respectively (bootstrap corrected c-index 0.894, 95% CI 0.820-0.967, p <0.001). CONCLUSIONS: While patients with collecting duct renal cell carcinoma are commonly diagnosed at advanced stage and have poor prognosis after surgery, a subset has excellent survival. Histopathological features can help risk stratify patients based on the described, highly accurate risk model to predict disease specific mortality, facilitating patient counseling and risk based clinical decision making for adjuvant therapy and clinical trial inclusion.
Authors: Jianmin Wang; Antonios Papanicolau-Sengos; Sreenivasulu Chintala; Lei Wei; Biao Liu; Qiang Hu; Kiersten Marie Miles; Jeffrey M Conroy; Sean T Glenn; Manuela Costantini; Cristina Magi-Galluzzi; Sabina Signoretti; Toni Choueiri; Michele Gallucci; Steno Sentinelli; Vito M Fazio; Maria Luana Poeta; Song Liu; Carl Morrison; Roberto Pili Journal: Oncotarget Date: 2016-05-24
Authors: Ning Yi Yap; Retnagowri Rajandram; Keng Lim Ng; Jayalakshmi Pailoor; Ahmad Fadzli; Glenda Carolyn Gobe Journal: Biomed Res Int Date: 2015-09-13 Impact factor: 3.411
Authors: Frank Becker; Kerstin Junker; Martin Parr; Arndt Hartmann; Susanne Füssel; Marieta Toma; Rainer Grobholz; Thomas Pflugmann; Bernd Wullich; Arne Strauss; Carl Ludwig Behnes; Wolfgang Otto; Michael Stöckle; Volker Jung Journal: PLoS One Date: 2013-10-22 Impact factor: 3.240
Authors: Abdessamad El Bahri; Jaouad Chafiki; Nabil Louardi; Omar Jendouzi; Abdellatif Janane; Ahmed Ameur; Mohammed Abbar Journal: Pan Afr Med J Date: 2017-07-04