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A 3D tumor spheroid model with robust T cell infiltration for evaluating immune cell engagers
Hin Ching Lo1, Hana Choi1, Kevin Kolahi1
1AbbVie, 1000 Gateway Boulevard, South San Francisco, CA 94080, USA.
Iscience
|July 24, 2025
Summary
Researchers developed a 3D tumor spheroid model using non-small cell lung cancer (NSCLC) patient samples. This model effectively simulates the tumor microenvironment (TME) for testing new cancer immunotherapies.
Area of Science:
- Oncology
- Immunology
- Biotechnology
Background:
- The tumor microenvironment (TME) is crucial for cancer progression and response to therapy.
- Traditional 2D cell cultures do not fully represent the complex TME.
- Patient-derived xenografts (PDXs) offer a more relevant model but can be challenging to use for drug screening.
Purpose of the Study:
- To develop and validate a 3D tumor spheroid model from non-small cell lung cancer (NSCLC) PDX material.
- To enable T cell infiltration into the spheroids for studying immune responses.
- To establish a scalable platform for evaluating the efficacy of immunotherapeutic agents.
Main Methods:
- Generation of 3D tumor spheroids from NSCLC PDX tissues.
- Histologic and transcriptomic analysis to compare spheroids with original PDX tumors.
- Magnetic nanoparticle technology to facilitate T cell infiltration into spheroids.
- Assessment of T cell function, tumor-killing activity, and drug responses (viability, cytokine secretion).
Main Results:
- 3D tumor spheroids accurately recapitulated the histologic and transcriptomic features of the source PDX tumors.
- Consistent and functional T cell infiltration was achieved in the spheroids.
- The model demonstrated scalability for drug treatment studies, showing potential in evaluating immunotherapy agents.
- T cell function and anti-tumor activity were maintained within the 3D spheroid system.
Conclusions:
- The developed 3D tumor-T cell spheroid model is a valuable tool for studying the TME in NSCLC.
- This platform can effectively assess drug candidates targeting both tumor-intrinsic factors and the TME.
- The model holds potential for predicting patient responses to cancer therapies.
- It offers a more physiologically relevant system for preclinical drug evaluation compared to 2D models.

