BACKGROUND: The use of partial nephrectomy (PN) to treat renal cell carcinoma has grown to include larger, more complex tumors. Such tumors are more likely to be up-staged to pT3a and generate controversy regarding the oncologic safety of PN. We aimed to estimate the proportion of patients up-staged to T3a disease after PN, stratified by clinical stage, and characterize their survival. METHODS: From 1998 to 2013, pT1-pT3aN0M0 kidney cancer patients undergoing PN or radical nephrectomy (RN) were identified from the Surveillance Epidemiology and End Results registries. Cox proportional hazards models compared cancer-specific (CSS) and overall survival (OS) for PN patients with pT1a, pT1b, and pT2 disease to stratified, up-staged pT3a patients undergoing PN. Also, we compared PN patients with up-staged pT3a disease to RN patients with pT3a disease. RESULTS: From the 28,854 patients undergoing PN, the estimated proportion up-staged to pT3a was 4.2%, 9.5%, and 19.5% for cT1a, cT1b, and cT2, respectively. OS was worse for tumors up-staged from cT1a to pT3a, but not for cT1b or cT2 tumors. Up-staged pT3a tumors across all stage strata demonstrated worse CSS, with worse survival for larger tumors. Analysis revealed no difference in OS or CSS for up-staged pT3a PN patients compared to pT3a RN patients. CONCLUSIONS: A greater proportion of patients experience T3a up-staging after PN with increasing initial T stage. Up-staged pT3a patients have worse CSS across all clinical tumor stages after PN. However, our results do not demonstrate that patients up-staged after PN have compromised oncologic outcomes compared to all-comers with pT3a disease receiving RN.
BACKGROUND: The use of partial nephrectomy (PN) to treat renal cell carcinoma has grown to include larger, more complex tumors. Such tumors are more likely to be up-staged to pT3a and generate controversy regarding the oncologic safety of PN. We aimed to estimate the proportion of patients up-staged to T3a disease after PN, stratified by clinical stage, and characterize their survival. METHODS: From 1998 to 2013, pT1-pT3aN0M0 kidney cancerpatients undergoing PN or radical nephrectomy (RN) were identified from the Surveillance Epidemiology and End Results registries. Cox proportional hazards models compared cancer-specific (CSS) and overall survival (OS) for PN patients with pT1a, pT1b, and pT2 disease to stratified, up-staged pT3a patients undergoing PN. Also, we compared PN patients with up-staged pT3a disease to RN patients with pT3a disease. RESULTS: From the 28,854 patients undergoing PN, the estimated proportion up-staged to pT3a was 4.2%, 9.5%, and 19.5% for cT1a, cT1b, and cT2, respectively. OS was worse for tumors up-staged from cT1a to pT3a, but not for cT1b or cT2tumors. Up-staged pT3a tumors across all stage strata demonstrated worse CSS, with worse survival for larger tumors. Analysis revealed no difference in OS or CSS for up-staged pT3a PN patients compared to pT3a RN patients. CONCLUSIONS: A greater proportion of patients experience T3a up-staging after PN with increasing initial T stage. Up-staged pT3a patients have worse CSS across all clinical tumor stages after PN. However, our results do not demonstrate that patients up-staged after PN have compromised oncologic outcomes compared to all-comers with pT3a disease receiving RN.
Authors: Hiten D Patel; Maneka Puligandla; Brian M Shuch; Bradley C Leibovich; Anil Kapoor; Viraj A Master; Charles G Drake; Daniel Yc Heng; Primo N Lara; Toni K Choueiri; Deborah Maskens; Eric A Singer; Scott E Eggener; Robert S Svatek; Walter M Stadler; Suzanne Cole; Sabina Signoretti; Rajan T Gupta; Marc Dror Michaelson; David F McDermott; David Cella; Lynne I Wagner; Naomi B Haas; Michael A Carducci; Lauren C Harshman; Mohamad E Allaf Journal: Future Oncol Date: 2019-04-10 Impact factor: 3.404
Authors: Arnav Srivastava; Hiren V Patel; Sinae Kim; Brian Shinder; Joshua Sterling; Alexandra L Tabakin; Charles F Polotti; Biren Saraiya; Tina Mayer; Isaac Y Kim; Saum Ghodoussipour; Hiten D Patel; Thomas L Jang; Eric A Singer Journal: Urol Oncol Date: 2020-10-20 Impact factor: 3.498