Drug screening in tumor organoids as a promising decision support system in precision oncology


Yılmaz B., Yılmaz Göler A. M., Şahin A., Tutar Torun E., Şener Akçora D., Arga K. Y., ...Daha Fazla

49th FEBS Congress, İstanbul, Türkiye, 5 - 09 Temmuz 2025, cilt.15, ss.243, (Özet Bildiri)

  • Yayın Türü: Bildiri / Özet Bildiri
  • Cilt numarası: 15
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.243
  • Marmara Üniversitesi Adresli: Evet

Özet

Precision oncology aims to tailor treatments based on patient-specific tumor characteristics, and tumor organoids have proven to be powerful preclinical models for personalised drug screening. These three-dimensional (3D) structures, derived from patient tumor samples, closely mimic the histological and genetic characteristics of the original tumour and provide a reliable platform for drug response testing. In this study, we developed organoid models of liver and ovarian tumours to investigate their potential for treatment decisions. Patient-derived tumor tissue was cultured in a Matrigel matrix to form self-assembling organoids. Characterisations were confirmed by immunohistochemistry and whole exome/transcriptome sequencing for genotypic/phenotypic analyses to confirm their tumourigenic properties. High-throughput drug screening was performed using the CellTiterGlo assay to assess sensitivity to standard chemotherapies and targeted therapies. Our results show a heterogeneous response of tumor organoids to drugs, reflecting the variability observed in clinical practice. Liver tumor organoids showed a common response to bevacizumab, which is applicable according to the guidelines. Ovarian tumor organoids responded differently to platinum-based chemotherapy. Importantly, the results correlated with patient treatment outcomes, highlighting the clinical relevance of organoid-based screening. These findings highlight the potential of tumor organoids as a decision support system in precision oncology, allowing personalized treatment selection. Further validation in clinical trials could establish organoid-based drug testing as a standard approach for optimizing cancer therapies.