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Updated: Jun 11, 2025

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
Published on: April 12, 2017
Understanding Treatment Decisions and Management for Patients with Advanced Renal Cell Carcinoma Using Hypothetical
Benjamin Garmezy1, Ulka Vaishampayan2
1Sarah Cannon Research Institute, 335 24th Ave North Ste 200, Nashville, TN, 37203, USA. Ben.Garmezy@scri.com.
Abstract:
In recent years, the armamentarium of therapies for the management of advanced renal cell carcinoma (aRCC) has grown. Combination therapies, including immuno-oncology (IO) agents and tyrosine kinase inhibitors [TKIs (IO-TKI)], and IO-IO combinations, are now approved for first-line treatment of aRCC. Decisions regarding the use of these combinations, IO-IO versus IO-TKI, can be challenging, as they have not been compared in a randomized trial; each of these combinations have been compared with sunitinib alone. In addition, patient-, disease-, and treatment-based factors must be evaluated in the decision-making process. More important is the consideration of patient management during treatment and optimal detection and management of toxicities to ensure continued benefit. In this vodcast, two experts in the field of kidney cancer will present case studies that represent typical patients seen in practice. The faculty will discuss treatment approaches, adverse event management, and which factors to consider during the treatment decision-making process. Viewers of the vodcast will get a better understanding of clinical trial outcomes related to an IO-TKI combination, such as axitinib plus pembrolizumab, that they can apply to their practice immediately. In addition, they will gain real-world insight into how experts approach the treatment of patients with aRCC and, more importantly, therapy management.
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05:36Comparing Metastatic Clear Cell Renal Cell Carcinoma Model Established in Mouse Kidney and on Chicken Chorioallantoic Membrane
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06:11Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma
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