A recent multi-center study showed how estimated glomerular filtration rate (eGFR) and cancer-specific mortality (CSM) are linearly and inversely related in organ-confined renal cell carcinoma (RCC) whenever the eGFR decreases below specific thresholds. We addressed our previous work limitations related to heterogeneity and missing data, and explored the relationship between eGFR and CSM also in locally advanced RCC.
All patients with RCC treated with either partial or radical nephrectomy from 1990 to 2018 at a single institution and with complete data on renal function were included. eGFR was managed as a time-dependent variable. The relationship between eGFR and CSM was analyzed using a Fine and Gray multivariable competing risks framework. Subdistribution hazard ratios (SHRs) were calculated accounting for deaths from other causes.
Multivariable competing risks analysis showed a "piecewise" relationship between eGFR and CSM, with an inverse linear correlation for eGFR values below 85 mL/min. Below this breakpoint, a significant relationship existed between eGFR and CSM in both clinical (SHR, 1.27; P < .001) and pathologic (SHR, 1.27; P = .001) models in stage I to II RCC subgroup. Conversely, no significance was recorded in this subgroup when considering eGFR values above 85 mL/min. In the stage III to IV subgroup, no significant relationships were recorded, regardless of eGFR values. The retrospective design with inherent biases in data collection represents a limitation.
In patients undergoing surgery for stage I to II RCC, preservation of renal function over "safety limits" is protective from CSM.
Clinical genitourinary cancer. 2019 Dec 13 [Epub ahead of print]
Alessandro Antonelli, Carlotta Palumbo, Marco Sandri, Alessandro Veccia, Maria Furlan, Stefania Zamboni, Simone Francavilla, Tiziano Zanotelli, Alberto Cozzoli, Claudio Simeone
Urology Unit, ASST Spedali Civili of Brescia, Department of Medical and Surgical Specialties, Radiological Science and Public Health, University of Brescia, Brescia, Italy. Electronic address: ., Urology Unit, ASST Spedali Civili of Brescia, Department of Medical and Surgical Specialties, Radiological Science and Public Health, University of Brescia, Brescia, Italy., Data Methods and Systems Statistical Laboratory, University of Brescia, Brescia, Italy.