3D models in the new era of immune oncology: focus on T cells, CAF and ECM

Francesca Di Modugno1, Cristina Colosi2, Paola Trono3

  • 1Unit of Tumor Immunology and Immunotherapy, Department of Research, Advanced Diagnostics, and Technological Innovation, Translational Research Area, IRCCS-Regina Elena National Cancer Institute, via Elio Chianesi 53, 00144, Rome, Italy. francesca.dimodugno@ifo.gov.it.

Insights

Immune checkpoint inhibitors improve cancer survival, but resistance is common. Analyzing the tumor microenvironment, including T cells and fibroblasts, may reveal new combination immunotherapies.

Area of Science:

  • Oncology
  • Immunology
  • Cancer Biology

Background:

  • Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, improving survival rates for many patients.
  • However, intrinsic or acquired resistance to ICIs is a significant clinical challenge, necessitating better patient selection strategies.
  • Understanding the tumor microenvironment (TME) is crucial for overcoming resistance and developing novel immunotherapies.

Purpose of the Study:

  • To review current knowledge on the tumor microenvironment (TME) and its role in ICI resistance.
  • To highlight key cellular and extracellular components of the TME, including T cells, cancer-associated fibroblasts (CAFs), and the extracellular matrix (ECM).
  • To discuss the potential of 3D cell culture models for studying the TME and screening immunomodulatory drugs.

Main Methods:

  • Literature review of current research on tumor microenvironment and immunotherapy.
  • Focus on T cells, cancer-associated fibroblasts, and extracellular matrix interactions.
  • Exploration of 3D cell culture models for TME research and drug screening.

Main Results:

  • The TME, comprising diverse cell types and ECM components, significantly influences ICI efficacy.
  • T cells, CAFs, and ECM dynamics are critical factors in both ICI sensitivity and resistance.
  • 3D cell culture models offer a promising platform to recapitulate TME complexity and evaluate novel therapeutic strategies.

Conclusions:

  • A deeper understanding of TME complexity is essential for advancing cancer immunotherapy.
  • Targeting specific TME components and utilizing advanced models like 3D cultures can lead to more effective combined immunotherapeutic strategies.
  • Biomarkers predictive of ICI response are needed for optimal patient selection and treatment planning.

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