Tumor microenvironment-simulated organoids for personalized therapy prediction in head and neck squamous cell

Jianguo Gan1,2, Wanrong Meng1, Fan Yang1

  • 1State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, China.

Oncogene
|August 5, 2026
PubMed

Insights

Patient-derived organoids (PDOs) were enhanced to simulate the tumor microenvironment (MS-PDOs) for predicting head and neck cancer drug responses. These models accurately reflect patient outcomes, advancing personalized cancer therapy.

Area of Science:

  • Oncology
  • Cancer Biology
  • Drug Discovery

Background:

  • Patient-derived organoids (PDOs) are valuable for personalized cancer therapy but lack tumor microenvironment components.
  • Accurately modeling the tumor microenvironment is crucial for predicting drug efficacy in head and neck squamous cell carcinoma (HNSCC).

Purpose of the Study:

  • To establish microenvironment-simulated PDOs (MS-PDOs) by incorporating immune cells and cancer-associated fibroblasts (CAFs).
  • To evaluate the impact of microenvironment components on therapeutic responses in HNSCC models.
  • To validate MS-PDOs as predictive models for clinical treatment outcomes in HNSCC.

Main Methods:

  • Developed 30 PDOs from 79 locally advanced (LA) and recurrent/metastatic (R/M) HNSCC patients.
  • Co-cultured PDOs with autologous peripheral blood mononuclear cells (PBMCs) and CAFs to create MS-PDOs.
  • Assessed cytotoxicity and drug responses to immunotherapy (PD-1/PD-L1 inhibitors) and chemotherapy in MS-PDOs.

Main Results:

  • MS-PDOs with PBMCs showed specific responses to PD-1/PD-L1 inhibitors.
  • MS-PDOs with CAFs demonstrated altered tolerance to chemotherapy.
  • Drug response predictions from MS-PDOs correlated with clinical treatment outcomes in HNSCC patients.

Conclusions:

  • MS-PDOs effectively model the HNSCC tumor microenvironment and modulate therapeutic responses.
  • MS-PDOs provide a robust platform for predicting personalized drug efficacy.
  • This approach supports precision medicine and guides clinical decision-making for HNSCC treatment.

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