A renal cell carcinoma tumorgraft platform to advance precision medicine

Roy Elias1, Vanina T Tcheuyap2, Akash K Kaushik3

  • 1Kidney Cancer Program, Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Cell Reports
|November 24, 2021
PubMed

Insights

Researchers created new patient-derived tumor models for renal cell carcinoma (RCC) to better understand this complex cancer. These models will aid in developing new treatments and diagnostic tools for kidney cancer.

Area of Science:

  • Oncology
  • Translational Research
  • Genomics

Background:

  • Renal cell carcinoma (RCC) is a heterogeneous cancer with a lack of adequate preclinical models.
  • Previous work demonstrated the utility of patient-derived tumorgraft (TG) models in recapitulating RCC biology and treatment response.

Purpose of the Study:

  • To establish a comprehensive resource of patient-derived tumorgraft (TG) models for renal cell carcinoma (RCC).
  • To characterize these models genomically and histologically to ensure biological fidelity.
  • To facilitate deeper understanding of RCC biology and support advancements in drug development and molecular probe creation.

Main Methods:

  • Systematic orthotopic implantation of tumor samples from 926 diverse individuals into NOD/SCID mice.
  • Generation and characterization of 172 independently derived, stably engrafted TG lines.
  • Histological, whole-exome sequencing (n=97), RNA sequencing (n=102), and metabolomic analyses were performed.

Main Results:

  • A valuable resource of 172 RCC tumorgraft lines was successfully generated from 148 patients.
  • The TG lines exhibit diverse histological subtypes and oncogenotypes, including representation of TCGA clades.
  • Orthogonal metabolomic analyses corroborated genomic findings, confirming the biological relevance of the models.

Conclusions:

  • The established TG platform provides a robust preclinical resource for studying renal cell carcinoma heterogeneity.
  • These models are suitable for advancing the development of tissue- and imaging-based molecular probes.
  • The resource will significantly support the development of novel therapeutic strategies for RCC.