Management of metastatic renal cell carcinoma patients with poor-risk features: current status and future perspectives

2013 ◽  
Vol 13 (6) ◽  
pp. 697-709 ◽  
Author(s):  
Matteo Santoni ◽  
Michele De Tursi ◽  
Alessandra Felici ◽  
Giovanni Lo Re ◽  
Riccardo Ricotta ◽  
...  
Kidney Cancer ◽  
2017 ◽  
Vol 1 (2) ◽  
pp. 107-114 ◽  
Author(s):  
Laure Fournier ◽  
Alexandre Bellucci ◽  
Yann Vano ◽  
Mehdi Bouaboula ◽  
Constance Thibault ◽  
...  

Drugs ◽  
2013 ◽  
Vol 73 (5) ◽  
pp. 427-438 ◽  
Author(s):  
Bernard Escudier ◽  
Laurence Albiges ◽  
Guru Sonpavde

2014 ◽  
Vol 32 (15_suppl) ◽  
pp. e15588-e15588 ◽  
Author(s):  
Daniele Santini ◽  
Matteo Santoni ◽  
Ugo De Giorgi ◽  
Stefano Iacobelli ◽  
Giuseppe Procopio ◽  
...  

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 4584-4584
Author(s):  
Brian I. Rini ◽  
Thomas E. Hutson ◽  
Robert A. Figlin ◽  
Mariajose Lechuga ◽  
Olga Valota ◽  
...  

4584 Background: In a phase III study (NCT00083889), treatment-naïve patients (pts) with metastatic renal cell carcinoma (mRCC) of all prognostic risk groups were treated with sunitinib or interferon-α (IFN-α). Since sunitinib has become the reference standard of care and serves as the comparator in multiple randomized trials sometimes restricted to prespecified risk groups, a retrospective analysis of outcome according to prognostic group from the phase III study was performed. Methods: Investigator-assessed efficacy data were analyzed for pts based on risk group (International mRCC Database Consortium [IMDC] criteria). The objective was to determine objective response rate (ORR), median progression-free survival (mPFS), and median overall survival (mOS) benchmarks by risk group. Results: Of sunitinib-treated pts, 134 were favorable, 205 were intermediate, and 34 were poor risk. The median sunitinib treatment duration/median number of cycles was 16.7 mo/12 cycles, 11.0 mo/8 cycles and 2.6 mo/2.0 cycles for favorable-, intermediate-, and poor-risk pts, respectively. ORR, PFS, and OS benchmarks for sunitinib-treated pts are shown in the Table. In sunitinib-treated intermediate-risk pts with 1 vs 2 risk factors, respectively: ORR was 43.3% vs 40.8%, mPFS (95% confidence interval [95% CI]) was 11.2 (9.7–13.6) vs 8.5 (5.6–10.7) mo, and mOS (95% CI) was 28.2 (23.0–not estimable) vs 16.3 (13.2–19.4) mo. Conclusions: This retrospective analysis provides ORR, PFS, and OS benchmarks for current and future clinical trial interpretation in mRCC pts with different prognostic risk treated with sunitinib. [Table: see text]


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 4580-4580
Author(s):  
Steven Yip ◽  
Connor Wells ◽  
Raphael Brandao Moreira ◽  
Alex Wong ◽  
Sandy Srinivas ◽  
...  

4580 Background: Immuno-oncology (IO) checkpoint inhibitor treatment outcomes are poorly characterized in the real world metastatic renal cell cancer (mRCC) patient population, including geriatric patients. Methods: Using the IMDC database, a retrospective analysis was performed on mRCC patients treated with IO, as listed below. Patients received one or more lines of IO therapy, with or without a targeted agent. Duration of treatment (DOT) and overall response rates (ORR) were calculated. Cox regression analysis was performed to examine the association between age as a continuous variable and DOT. Results: 312 mRCC patients treated with IO were included. In patients who were evaluable, ORR to IO therapy was 29% (32% first-, 22% second-, 33% third-, and 32% fourth-line treatment (Tx)). Patients treated with second-line IO therapy were divided into favorable, intermediate, and poor risk using IMDC criteria; the corresponding median DOT rates were not reached (NR), 8.6 mo, and 1.9 mo, respectively (p<0.0001). Based upon age, hazard ratios were calculated in the first- through fourth-line therapy setting, ranging from 1.03 to 0.97. Conclusions: The ORR to IO appears to remain consistent, regardless of line of therapy. In the second-line, IMDC criteria appear to appropriately stratify patients into favorable, intermediate, and poor risk groups for DOT. Premature OS data will be updated. In contrast to clinical trial data, longer DOT is observed in real world practice. Age may not be a factor influencing DOT. [Table: see text]


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