• Marina D Kaymakcalan, Wanling Xie, Laurence Albiges, Scott A North, Christian K Kollmannsberger, Martin Smoragiewicz, Nils Kroeger, J Connor Wells, Sun-Young Rha, Jae Lyun Lee, Rana R McKay, André P Fay, Guillermo De Velasco, Daniel Y C Heng, and Toni K Choueiri.
• Dana-Farber Cancer Institute, Boston, Massachusetts.
• Cancer. 2016 Feb 1; 122 (3): 411-9.

BackgroundVascular endothelial growth factor (VEGF)-targeted therapies are standard treatment for metastatic renal cell carcinoma (mRCC); however, toxicities can lead to drug discontinuation, which can affect patient outcomes. This study was aimed at identifying risk factors for toxicity and constructing the first model to predict toxicity-related treatment discontinuation (TrTD) in mRCC patients treated with VEGF-targeted therapies.MethodsThe baseline characteristics, treatment outcomes, and toxicity data were collected for 936 mRCC patients receiving first-line VEGF-targeted therapy from the International Metastatic Renal Cell Carcinoma Database Consortium. A competing risk regression model was used to identify risk factors for TrTD, and it accounted for other causes as competing risks.ResultsOverall, 198 (23.8%) experienced TrTD. Sunitinib was the most common VEGF-targeted therapy (77%), and it was followed by sorafenib (18.4%). The median time on therapy was 7.1 months for all patients and 4.4 months for patients with TrTD. The most common toxicities leading to TrTD included fatigue, diarrhea, and mucositis. In a multivariate analysis, significant predictors for TrTD were a baseline age ≥60 years, a glomerular filtration rate (GFR) <30 mL/min/1.73 m(2) , a single metastatic site, and a sodium level <135 mmol/L. A risk group model was developed that used the number of patient risk factors to predict the risk of TrTD.ConclusionsIn the largest series to date, age, GFR, number of metastatic sites, and baseline sodium level were found to be independent risk factors for TrTD in mRCC patients receiving VEGF-targeted therapy. Based on the number of risk factors present, a model for predicting TrTD was built to be used as a tool for toxicity monitoring in clinical practice.© 2015 American Cancer Society.

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