Modeling spontaneous metastatic renal cell carcinoma (mRCC) in mice following nephrectomy

Amanda Tracz1, Michalis Mastri1, Christina R Lee2

  • 1Genitourinary Section, Department of Medicine, Roswell Park Cancer Institute.

Insights

Developing accurate models for renal cell carcinoma (RCC) metastasis is crucial for testing new therapies. This protocol details creating clinically relevant metastatic RCC models in mice to improve therapeutic testing and predict treatment success.

Area of Science:

  • Oncology
  • Translational Research
  • Animal Models

Background:

  • Accurate preclinical models are essential for advancing renal cell carcinoma (RCC) therapeutics.
  • Existing models often fail to replicate the spontaneous metastatic progression seen in clinical RCC.
  • There is a critical need for models that recapitulate both early- and late-stage metastatic disease.

Purpose of the Study:

  • To describe a protocol for developing clinically relevant metastatic RCC models in mice.
  • To facilitate the creation of models that mimic spontaneous systemic metastatic disease progression.
  • To enhance the predictive value of future therapeutic testing in RCC.

Main Methods:

  • Utilized a highly metastatic mouse tumor cell line in a syngeneic model for orthotopic implantation.
  • Detailed procedures for kidney tumor cell implantation (sub-capsular space) with matrigel.
  • Included nephrectomy, critical pre- and post-surgical care, and monitoring of metastatic progression via bioluminescent imaging and necropsy.

Main Results:

  • Successfully established a protocol for generating metastatic RCC models.
  • Demonstrated methods for orthotopic implantation, surgical intervention, and disease monitoring.
  • Provided a detailed necropsy guide for scoring systemic disease distribution.

Conclusions:

  • This protocol enables the development of RCC models that faithfully recapitulate metastatic disease.
  • Widespread adoption of these models will improve the reliability of preclinical therapeutic testing.
  • Facilitates better prediction of treatment efficacy for experimental therapeutics in RCC.

Related Concept Videos