A validated tumorgraft model reveals activity of dovitinib against renal cell carcinoma

Sharanya Sivanand1, Samuel Peña-Llopis, Hong Zhao

  • 1Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Insights

A new renal cell carcinoma (RCC) tumorgraft model accurately reflects patient tumors and predicts drug response. This preclinical model shows promise for improving anticancer drug development and increasing the success rate of clinical trials.

Area of Science:

  • Oncology
  • Translational Research
  • Preclinical Drug Development

Background:

  • Most anticancer drugs fail in clinical trials due to inadequate preclinical models.
  • Lack of predictive preclinical models hinders effective oncology drug development.

Purpose of the Study:

  • To develop and validate a renal cell carcinoma (RCC) tumorgraft model.
  • To assess the utility of this model in evaluating experimental anticancer drugs.

Main Methods:

  • Implanting 94 patient tumor samples into mouse kidneys.
  • Establishing 16 stable RCC tumorgraft lines.
  • Characterizing tumorgraft fidelity through histology, gene expression, and mutation analysis.

Main Results:

  • Tumorgrafts retained patient tumor characteristics, including mutations and gene expression.
  • Metastatic samples engrafted more frequently; primary tumor engraftment correlated with poorer patient survival.
  • RCC tumorgrafts responded to sunitinib and sirolimus, but not erlotinib, and showed sensitivity to dovitinib.

Conclusions:

  • The developed RCC tumorgraft model accurately recapitulates human tumors and their drug sensitivities.
  • This validated model can improve the predictive value of preclinical oncology studies.
  • Incorporating such models can enhance the efficiency and success of anticancer drug development.

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