Phase I/II trial of dexverapamil plus vinblastine for patients with advanced renal cell carcinoma.

1995 ◽  
Vol 13 (8) ◽  
pp. 1958-1965 ◽  
Author(s):  
R J Motzer ◽  
P Lyn ◽  
P Fischer ◽  
P Lianes ◽  
R L Ngo ◽  
...  

PURPOSE The reduced cardiac toxicity of the dextro-(d-) stereoisomer of verapamil (dexverapamil; Knoll Pharmaceuticals, Whippany, NJ) warrants its study as a potential multidrug-resistance (MDR) reversal agent. PATIENTS AND METHODS Twenty-three patients with advanced renal cell carcinoma (RCC) were treated with vinblastine at a dose of 0.11 mg/kg intravenous (IV) bolus injection on days 1 and 2 every 21 days. Dexverapamil was added to subsequent cycles after resistance had been demonstrated. Dexverapamil treatment was begun 18 hours before day 1 of vinblastine administration and was given orally every 6 hours for 12 doses. Patients in group A were treated with a dose of 120 mg/m2, and those in group B were treated with 180 mg/m2 plus dexamethasone; plasma concentrations achieved in patients were correlated with in vitro effects. RESULTS Toxicities included hypotension, asymptomatic bradycardia, and mild atrioventricular conduction delays, although one patient had dexverapamil discontinued for grade IV congestive heart failure. There were no partial or complete responses. The mean day-1 serum dexverapamil plus norverapamil plasma concentrations were 2,575 ng/mL (range, 697 to 6,015 ng/mL) for group A and 1,654 ng/mL (range, 710 to 4,132 ng/mL) for group B at the time of vinblastine administration. These concentrations were in the range of those that reversed vinblastine resistance in vitro. CONCLUSION The advantage of dexverapamil as an MDR reversal agent is its potential for achieving desired blood levels with substantially less toxicity than the racemic mixture of verapamil. Based on tolerability, it is a suitable drug for further study in clinical trials of malignancies other than RCC that attempt to achieve MDR reversal. The dose of 120 mg/m2 given orally every 6 hours, with dose escalation based on individual tolerance, represents a feasible schedule to be considered for such studies.

2012 ◽  
Vol 30 (5_suppl) ◽  
pp. 434-434
Author(s):  
Italia Bongarzone ◽  
Mattia Cremona ◽  
Virginia A. Espina ◽  
Francesca Miccichè ◽  
Silvia Veneroni ◽  
...  

434 Background: There are marked differences in responses to therapy among patients with clear cell renal cell carcinoma (ccRCC), which makes the outcome difficult to predict. This study is aimed to define a new classification system that would elucidate distinctions between carcinomas in order to facilitate selection of the appropriate treatment. We mapped cell signaling pathways in individual renal cell carcinomas and identified different classes based on commonly shared phosphorylation-driven signaling networks. Methods: Laser capture microdissection and reverse-phase protein arrays were used to profile 75 key nodes in 16 primary clear cell renal cancers. These nodes represent many signaling pathways known to be important in tumorigenesis and progression. Results: Statistical analysis revealed significant differences (p <0.05) in signaling levels between two groups of samples, group A (4 samples) and group B (12 samples), for 27 of the 75 endpoints tested. In group A, high activation levels of EGFR, RET, and RASGFR1 converged to activate AKT/mTOR. Group B, showed high phosphorylation levels of ERK1/2 and STAT transcription factors and samples significantly partitioned in two clusters of 7 and 5 cases designated C and D. Group C showed elevated expression of a regulator of autophagy, LC3B; group D showed activation of Src and STAT transcription factors, suggesting the presence of cytokine-mediated cell survival pathways. A DNA copy number analysis was performed on the same samples and the results showed that group B represents some paradigmatic cases of ccRCC, with VHL loss-of-function mutations. Conclusions: The proteins identified appeared to be linked to pathways that are targeted by drugs typically used to treat clear cell renal cell carcinoma. Thus, this type of analysis could be useful for stratifying patients and selecting the best therapeutic approaches.


1981 ◽  
Vol 126 (1) ◽  
pp. 24-27 ◽  
Author(s):  
Jerome P. Richie ◽  
Bosco S. Wang ◽  
Glenn D. Steele ◽  
Richard E. Wilson ◽  
John A. Mannick

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