Patient-derived 3D organoid platform for functional assessment of GPC3-targeted CAR T cell cytotoxic activity in head

Han-Na Yoon1, Jin-Ha Kim2, Doeon Gu1

  • 1Rare and Pediatric Cancer Branch, Research Institute, National Cancer Center, Goyang 10408, the Republic of Korea.

Oral Oncology
|December 10, 2025
PubMed
Abstract

Insights

A new 3D organoid platform effectively assesses chimeric antigen receptor (CAR) T cell therapy for head and neck squamous cell carcinoma (HNSCC). Glypican-3 (GPC3)-targeted CAR T cells show promise against GPC3-expressing HNSCC organoids.

Area of Science:

  • Oncology
  • Immunotherapy
  • Biotechnology

Background:

  • Head and neck squamous cell carcinoma (HNSCC) presents significant therapeutic challenges due to heterogeneity and limited immunotherapy response.
  • Improved preclinical models are crucial for advancing HNSCC treatment strategies and clinical translation.

Purpose of the Study:

  • To develop and validate a simplified 3D head and neck cancer organoid (HNCO)-chimeric antigen receptor (CAR) T cell co-culture platform.
  • To assess the efficacy of glypican-3 (GPC3)-targeted CAR T cells in a preclinical HNSCC model.

Main Methods:

  • Established a 3D HNCO platform maintaining physiological hypoxia and tumor secretome.
  • Utilized multimodal readouts (structural disruption, ATP viability, granzyme B secretion) to assess CAR T cell activity.
  • Co-cultured GPC3-targeted CAR T cells with diverse HNCOs expressing variable GPC3 levels.

Main Results:

  • High GPC3 expression in HNSCC correlates with poor patient survival (TCGA data).
  • GPC3-CAR T cells induced significant structural disintegration, reduced viability, and increased granzyme B secretion in GPC3-high/moderate HNCOs.
  • GPC3-low HNCOs exhibited heterogeneous responses to GPC3-CAR T cell therapy.

Conclusions:

  • Introduced a patient-derived 3D organoid platform for functional CAR T cell assessment in HNSCC.
  • GPC3-CAR T cell therapy shows potential for specific HNSCC patient subsets.
  • Functional validation is essential to address interpatient heterogeneity for clinical translation.

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