4.8 Article

Pharmacogenomic landscape of head and neck squamous cell carcinoma informs precision oncology therapy

期刊

SCIENCE TRANSLATIONAL MEDICINE
卷 14, 期 661, 页码 -

出版社

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/scitranslmed.abo5987

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资金

  1. Key Program of National Natural Science Foundation of China [82030085]
  2. National Key Research and Development Program of China [2017YFC0908500]
  3. National Natural Science Foundation of China [81872199]
  4. Innovative Research Team of High-level Local Universities in Shanghai [SHSMU-ZLCX20212300, SSMU-ZLCX20180500]
  5. Shanghai Education Development Foundation
  6. Shanghai Municipal Education Commission [19SG13]

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This study establishes a large collection of HNSCC patient-derived cells and utilizes pharmacological screening and genomic analysis to provide precision treatment strategies for HNSCC patients. New biomarkers were discovered through this research.
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.

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