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Updated: Mar 5, 2026

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
Published on: April 12, 2017
Sequential Therapy in Metastatic Renal Cell Carcinoma.
Bradford R Hirsch1, John M Burke1, Manish Agrawal1
1US Oncology Research, Houston, TX, USA.
Optimizing sequential therapy for metastatic renal cell carcinoma (mRCC) is complex due to numerous treatments. This review uses real-world data to guide treatment decisions for practicing oncologists.
Area of Science:
- Oncology
- Medical treatment
Background:
- The landscape of metastatic renal cell carcinoma (mRCC) treatment has rapidly evolved.
- Increasingly complex treatment options necessitate clear guidance for clinicians.
Purpose of the Study:
- To outline a thought process for sequential therapy in mRCC.
- To demonstrate the utility of real-world data in informing treatment strategies.
- To highlight emerging research impacting future mRCC management.
Main Methods:
- Review of current literature on mRCC treatment.
- Analysis of real-world data from community oncology settings.
- Expert consensus from practicing medical oncologists.
Main Results:
- Sequential therapy decisions in mRCC are challenging.
- Real-world data offers valuable insights for treatment sequencing.
- Future research will continue to shape optimal mRCC care.
Conclusions:
- A structured approach, informed by real-world data, is crucial for sequential mRCC therapy.
- Practicing oncologists need to stay abreast of evolving treatment paradigms.
- Community-based data can effectively guide clinical decision-making in mRCC.
More Related Videos
11:27Modeling Spontaneous Metastatic Renal Cell Carcinoma mRCC in Mice Following Nephrectomy
Published on: April 29, 2014
07:50Utilization of Ultrasound Guided Tissue-directed Cellular Implantation for the Establishment of Biologically Relevant Metastatic Tumor Xenografts
Published on: May 25, 2018
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