Patient-derived tumor spheroid-induced angiogenesis preclinical platform for exploring therapeutic vulnerabilities in

Jihoon Ko1, Sujin Hyung2, You Jeong Heo3

  • 1Department of BioNano Technology, Gachon University, Gyeonggi, 13120, Republic of Korea.

Biomaterials
|February 20, 2024
PubMed

Insights

This study introduces an advanced, non-animal cancer model using patient-derived tumor spheroids on a microfluidic chip to study tumor microenvironments and angiogenesis. The model successfully inhibited tumor growth and invasion with a targeted drug, advancing precision medicine.

Area of Science:

  • Oncology
  • Biomedical Engineering
  • Translational Medicine

Background:

  • Current preclinical cancer models often fail to accurately replicate the complex tumor microenvironment.
  • There is a need for advanced models that support patient-treatment decisions and clarify tumor biology.
  • Understanding tumor-driven angiogenesis is critical for developing effective cancer therapies.

Purpose of the Study:

  • To develop and validate an advanced, non-animal preclinical cancer model.
  • To reconstruct the tumor microenvironment focusing on patient-derived tumor spheroids (PDTS) and angiogenesis.
  • To assess the efficacy of targeted therapies within this novel model.

Main Methods:

  • Development of a microfluidic chip system incorporating patient-derived tumor spheroids (PDTS).
  • Reconstruction of the tumor microenvironment to mimic tumor spheroid-driven angiogenesis.
  • Application of a vascular endothelial growth factor receptor 2 (VEGFR2) inhibitor (ramucirumab) to assess therapeutic response.
  • Testing of drug combinations including HER2 and angiogenesis inhibitors.

Main Results:

  • The microfluidic chip system successfully recapitulated patient-specific tumor conditions and angiogenic responses.
  • Vascularized PDTS demonstrated significant angiogenesis and tumor proliferation on the chip.
  • Ramucirumab effectively inhibited angiogenesis and impeded tumor invasion.
  • The model allowed for the investigation of distinct responses to various drug combinations.

Conclusions:

  • This innovative preclinical model accurately reflects tumor microenvironment complexities, including angiogenesis.
  • The model provides a robust platform for evaluating targeted therapies and drug combinations.
  • This approach holds potential for advancing precision medicine by integrating tumor microenvironment data.