Tumor immune microenvironment reconstitution in patient-derived organoids enables therapy modeling for NSCLC

Enrique Podaza1, Jared Capuano2, Hui-Hsuan Kuo2

  • 1Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10021, USA.

Insights

Researchers developed a method to combine patient-derived tumor organoids (PDTOs) with tumor immune microenvironment (TIME) components. This approach models non-small cell lung cancer (NSCLC) treatment responses for precision medicine.

Area of Science:

  • Oncology
  • Immunology
  • Biotechnology

Background:

  • Non-small cell lung cancer (NSCLC) causes significant mortality, with frequent treatment resistance.
  • Effective combination therapies and patient-specific pre-clinical models are crucial for NSCLC treatment.
  • Current models often lack the complexity of the tumor immune microenvironment (TIME).

Purpose of the Study:

  • To develop a method for reconstituting TIME components within patient-derived tumor organoids (PDTOs).
  • To establish scalable assays for evaluating therapeutic responses in a TIME-PDTO co-culture system.
  • To enable patient-specific therapeutic evaluation for precision medicine in NSCLC.

Main Methods:

  • Established a pipeline for concurrent expansion of tumor-infiltrating lymphocytes (TILs) and PDTO generation.
  • Developed scalable assays for IFN-γ secretion and T cell cytotoxicity using immune checkpoint inhibitors and targeted agents.
  • Created methods for differentiating and co-culturing PDTO-specific tumor-associated macrophages (TAMs) with PDTOs.

Main Results:

  • Successfully reconstituted TIME components within PDTOs from NSCLC patient resections.
  • Captured inter-patient heterogeneity and intra-patient variations in therapeutic responses.
  • Demonstrated the utility of PDTO-TAM co-cultures in evaluating TAM effects on tumor growth and chemotherapy sensitivity.

Conclusions:

  • TIME-PDTO co-cultures provide a robust platform for pre-clinical therapeutic modeling in NSCLC.
  • This approach facilitates patient-specific evaluation of combination therapies, including immune checkpoint inhibitors.
  • The scalable methodology supports high-throughput screening for precision oncology.

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