BACKGROUND: Controversies exist regarding the effect of lymphadenectomy (LND) in renal cell carcinoma (RCC). We hypothesized that patients with locally advanced cancer invading beyond Gerota's fascia (pT4 Nany Many RCC) might benefit from an extended LND not only for staging but also for survival purposes. MATERIALS AND METHODS: Clinical and pathologic data were prospectively gathered in 1.847 patients treated at a single Academic Center, between 1987 and 2011. Only patients with pT4 RCC (TNM 2009, n=44, 2.4%) were included. Univariable (UVA) and multivariable (MVA) Cox regression analyses targeted the association between the number of lymph nodes removed and cancer specific mortality (CSM). Analyses were adjusted for age, Fuhrman grade, symptoms at presentation, metastases at diagnosis, ECOG performance status, tumor size, number of positive nodes, and presence of necrosis or sarcomatoid features. RESULTS: Mean number of nodes removed was 11.8 (median 8, range 1-37). Mean number of positive nodes was 4.8 (median 2, range 0-36). Cancer-specific survival rates at 1, 2 and 3 years of follow-up were 39.3%, 25.0% and 8.6%, respectively. When stratified for nodal status, cancer-specific survival rates at 1, 2 and 3 years of follow-up were 65.0, 36.1, and 9.0% vs. 13.3, 13.0, and 6.7%, for pN0 vs. pN+ cases, respectively (p=0.004). At MVA, after adjusting for all the possible confounders, the number of positive nodes resulted independently associated with CSM (HR 1.25, p=0.001). Interestingly, at MVA, the number of nodes removed achieved the independent predictor status, as well (HR 0.84, p=0.007) showing a protective effect on survival. The risk of dying increased of 16% every positive node found (p<0.001), and decreased of 8% every node removed (p=0.02) (Table II). CONCLUSIONS: A more extended retroperitoneal lymphadenectomy at the time of nephrectomy statistically significantly decreased CSM in pT4 cases.
BACKGROUND: Controversies exist regarding the effect of lymphadenectomy (LND) in renal cell carcinoma (RCC). We hypothesized that patients with locally advanced cancer invading beyond Gerota's fascia (pT4 Nany Many RCC) might benefit from an extended LND not only for staging but also for survival purposes. MATERIALS AND METHODS: Clinical and pathologic data were prospectively gathered in 1.847 patients treated at a single Academic Center, between 1987 and 2011. Only patients with pT4 RCC (TNM 2009, n=44, 2.4%) were included. Univariable (UVA) and multivariable (MVA) Cox regression analyses targeted the association between the number of lymph nodes removed and cancer specific mortality (CSM). Analyses were adjusted for age, Fuhrman grade, symptoms at presentation, metastases at diagnosis, ECOG performance status, tumor size, number of positive nodes, and presence of necrosis or sarcomatoid features. RESULTS: Mean number of nodes removed was 11.8 (median 8, range 1-37). Mean number of positive nodes was 4.8 (median 2, range 0-36). Cancer-specific survival rates at 1, 2 and 3 years of follow-up were 39.3%, 25.0% and 8.6%, respectively. When stratified for nodal status, cancer-specific survival rates at 1, 2 and 3 years of follow-up were 65.0, 36.1, and 9.0% vs. 13.3, 13.0, and 6.7%, for pN0 vs. pN+ cases, respectively (p=0.004). At MVA, after adjusting for all the possible confounders, the number of positive nodes resulted independently associated with CSM (HR 1.25, p=0.001). Interestingly, at MVA, the number of nodes removed achieved the independent predictor status, as well (HR 0.84, p=0.007) showing a protective effect on survival. The risk of dying increased of 16% every positive node found (p<0.001), and decreased of 8% every node removed (p=0.02) (Table II). CONCLUSIONS: A more extended retroperitoneal lymphadenectomy at the time of nephrectomy statistically significantly decreased CSM in pT4 cases.
Authors: Leonardo D Borregales; Dae Y Kim; Angie L Staller; Wei Qiao; Arun Z Thomas; Mehrad Adibi; Pheroze Tamboli; Kanishka Sircar; Eric Jonasch; Nizar M Tannir; Surena F Matin; Christopher G Wood; Jose A Karam Journal: Urol Oncol Date: 2015-12-18 Impact factor: 3.498