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Updated: Aug 29, 2025

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma
Published on: April 20, 2018
Pharmacogenomic landscape of head and neck squamous cell carcinoma informs precision oncology therapy
Ziyue Gu1,2, Yanli Yao1,2, Guizhu Yang1,2
1Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China.
Abstract:
Head and neck squamous cell carcinoma (HNSCC) is a common and frequently lethal cancer with few therapeutic options. In particular, there are few effective targeted therapies. Development of highly effective therapeutic strategies tailored to patients with HNSCC remains a pressing challenge. To address this, we present a pharmacogenomic study to facilitate precision treatments for patients with HNSCC. We established a large collection of 56 HNSCC patient-derived cells (PDCs), which recapitulated the molecular features of the original tumors. Pharmacological assessment of HNSCCs was conducted using a three-tiered high-throughput drug screening using 2248 compounds across these PDC models and an additional 18 immortalized cell lines. We integrated genomic, transcriptomic, and pharmacological analysis to predict biomarkers, gene-drug associations, and validated biomarkers. These results supported drug repurposing for multiple HNSCC subtypes, including the JAK2 inhibitor fedratinib, for low KRT18-expressing HNSCC cases, and the topoisomerase inhibitor mitoxantrone, for IL6R-activated HNSCC cases. Our results demonstrated concordance between susceptibility predictions from the PDCs and the matched patients' responses to standard clinical medication. Moreover, we identified and experimentally confirmed that high expression of ITGB1 elicited therapeutic resistance to docetaxel and high SOD1 expression conferred resistance to afatinib. We further validated ITGB1 as a predictive biomarker for the efficacy of docetaxel therapy in a phase 2 clinical trial. In summary, our study shows that this HNSCC cell resource, as well as the resulting pharmacogenomic profiles, is effective for biomarker discovery and for guiding precision oncology therapies in HNSCCs.
Insights
This study developed patient-derived head and neck squamous cell carcinoma (HNSCC) models for drug screening. Findings identified new drug repurposing opportunities and biomarkers, like ITGB1, to guide precision oncology treatments for HNSCC patients.
Area of Science:
- Oncology
- Pharmacogenomics
- Biomarker Discovery
Background:
- Head and neck squamous cell carcinoma (HNSCC) presents limited therapeutic options and a need for targeted treatments.
- Developing personalized strategies for HNSCC is crucial due to its high mortality rate.
Purpose of the Study:
- To establish patient-derived cells (PDCs) for HNSCC to enable precision medicine.
- To conduct high-throughput drug screening and integrate multi-omics data for biomarker identification.
Main Methods:
- Created 56 HNSCC PDCs mirroring tumor molecular profiles.
- Performed extensive drug screening (2248 compounds) on PDCs and cell lines.
- Integrated genomic, transcriptomic, and drug response data to identify gene-drug associations and biomarkers.
Main Results:
- Identified drug repurposing candidates: fedratinib for low KRT18 HNSCC and mitoxantrone for IL6R-activated HNSCC.
- Confirmed PDCs accurately predict patient drug responses.
- Discovered ITGB1 and SOD1 as resistance biomarkers for docetaxel and afatinib, respectively.
- Validated ITGB1 as a predictive biomarker for docetaxel efficacy in a Phase 2 clinical trial.
Conclusions:
- The HNSCC PDC resource and pharmacogenomic data are valuable for discovering predictive biomarkers.
- This approach effectively guides precision oncology therapies for HNSCC.
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