Therapeutic targeting of tumor spheroids in a 3D microphysiological renal cell carcinoma-on-a-chip system

Chris P Miller1, Megan Fung2, Carla A Jaeger-Ruckstuhl2

  • 1Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA, United States; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States.

Neoplasia (New York, N.Y.)
|November 9, 2023
PubMed

Insights

A novel "RCC-on-a-chip" system using 3D collagen cultures better models metastatic renal cell carcinoma (RCC) than 2D methods. This platform enables rapid, economical testing of new RCC therapies, including those involving engineered T cells.

Area of Science:

  • Oncology
  • Biotechnology
  • Biomedical Engineering

Background:

  • Metastatic renal cell carcinoma (RCC) is largely incurable, necessitating novel therapeutic strategies.
  • Traditional 2D cell cultures and animal xenografts have limitations in accurately modeling RCC tumor microenvironments and immune responses.
  • There is a critical need for advanced preclinical models that recapitulate tumor cell behavior within a complex extracellular matrix (ECM).

Purpose of the Study:

  • To develop and validate a rapid, economical human microphysiological system (RCC-on-a-chip) for investigating therapies against RCC.
  • To compare the gene expression profiles of RCC cells in 3D collagen ECM versus 2D cultures.
  • To establish a platform for assessing drug efficacy, spheroid migration, and immune cell interactions in a 3D RCC model.

Main Methods:

  • Culture of RCC cell lines (A498, RCC4) in 3D collagen ECM within a microphysiological system.
  • Gene expression analysis to compare 3D vs. 2D culture models.
  • Automated, dose-dependent quantification of tumor spheroid killing using bortezomib.
  • Modeling of tumor-reactive T cell trafficking and antigen-specific killing by engineered T cells.

Main Results:

  • 3D collagen ECM culture of RCC cells more accurately reflects primary tumor gene expression than 2D culture.
  • The RCC-on-a-chip system successfully quantified dose-dependent spheroid killing and identified compounds inhibiting collective migration.
  • The platform demonstrated T cell trafficking into the ECM and antigen-specific killing of RCC spheroids by engineered CD8+ T cells.

Conclusions:

  • The RCC-on-a-chip system provides a more biologically relevant 3D microenvironment for preclinical RCC therapy testing.
  • This 3D model offers a rapid, quantitative, and economical platform for evaluating diverse therapeutic strategies for metastatic RCC.
  • The system's ability to model immune cell interactions and drug effects supports its adoption for advancing RCC treatment research.

Related Concept Videos