Development of patient‑derived tumor organoids and a drug testing model for renal cell carcinoma

Akira Kazama1, Tsutomu Anraku1, Hiroo Kuroki1

  • 1Department of Urology, Division of Molecular Oncology, Niigata University Graduate School of Medical and Dental Sciences, Niigata 951‑8510, Japan.

Oncology Reports
|September 1, 2021
PubMed

Insights

This study developed an ex vivo drug testing assay using patient-derived tumor organoids for renal cell carcinoma (RCC). The assay showed differential responses to tyrosine kinase inhibitors, paving the way for personalized cancer treatment.

Area of Science:

  • Oncology
  • Translational Medicine
  • Biotechnology

Background:

  • Effective therapeutic selection is crucial for improving survival in renal cell carcinoma (RCC) patients.
  • Current treatment strategies often lack personalized efficacy, necessitating novel drug testing approaches.

Purpose of the Study:

  • To develop an ex vivo drug testing assay utilizing patient-derived tumor organoids (TOs) for renal cell carcinoma.
  • To evaluate the histopathological and molecular fidelity of these TOs.
  • To assess the differential response of RCC TOs to standard tyrosine kinase inhibitors.

Main Methods:

  • Surgical tumor specimens from 20 RCC patients were used to establish ex vivo tumor organoid (TO) cultures.
  • Histological staining and whole-exome sequencing (WES) were employed to characterize TOs.
  • Cell viability assays determined the efficacy of tyrosine kinase inhibitors (sunitinib, pazopanib, cabozantinib, axitinib, sorafenib) on RCC TOs.

Main Results:

  • Tumor organoids successfully recapitulated the histological features of primary RCC tumors.
  • Whole-exome sequencing demonstrated high genetic concordance between primary tumors and their corresponding TOs.
  • RCC TOs exhibited differential responses to various tyrosine kinase inhibitors, indicating varied drug sensitivity.

Conclusions:

  • A prototype ex vivo drug testing assay using patient-derived RCC tumor organoids was successfully developed.
  • This novel approach shows potential for personalized cancer treatment by predicting drug responses.
  • Further clinical validation is required to confirm the predictive value of this assay in patient care.

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