A Molecularly Characterized Preclinical Platform of Subcutaneous Renal Cell Carcinoma (RCC) Patient-Derived Xenograft

Dennis Gürgen1, Michael Becker1, Mathias Dahlmann1

  • 1Experimental Pharmacology and Oncology Berlin-Buch GmbH (EPO), Berlin, Germany.

Insights

We developed new kidney cancer models that mimic patient tumors to test new therapies. These models show varied responses to standard drugs, aiding personalized treatment development for advanced renal cell carcinoma (RCC).

Area of Science:

  • Oncology
  • Translational Research
  • Cancer Modeling

Background:

  • Advanced renal cell carcinoma (RCC) has a poor prognosis, with frequent resistance to standard therapies like tyrosine kinase inhibitors (TKIs).
  • There is a critical need for novel therapies targeting TKI resistance mechanisms in metastatic RCC.
  • Patient-derived xenograft (PDX) models are vital for preclinical evaluation of targeted therapies and combinations.

Purpose of the Study:

  • To establish and molecularly characterize a panel of renal cell carcinoma (RCC) patient-derived xenograft (PDX) models.
  • To assess the translational relevance of these PDX models for preclinical drug screening and personalized therapy development.
  • To investigate intra-tumor heterogeneity (ITH) in RCC using PDX models from metastatic and multi-tumor regions.

Main Methods:

  • Established and characterized subcutaneous RCC PDX models over multiple passages.
  • Performed drug screening of four standard-of-care (SoC) drugs targeting VEGF and PI3K/mTOR pathways.
  • Utilized next-generation sequencing (NGS) for molecular characterization, including mutational and gene expression analysis.

Main Results:

  • The PDX models demonstrated well-conserved molecular and pathological features, mirroring patient heterogeneity in drug responses.
  • Models derived from metastatic disease and multi-tumor regions allowed for studies on intra-tumor heterogeneity (ITH).
  • Molecular characterization identified potential biomarkers and treatment targets for RCC.

Conclusions:

  • A novel, molecularly characterized panel of RCC PDX models with high translational relevance has been established.
  • These PDX models accurately reflect patient drug response heterogeneity, supporting personalized preclinical research.
  • The models provide a foundation for developing in vitro models for high-throughput drug screening in a personalized context.

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