Genomic and Single-Cell Analyses Characterize Patient-Derived Tumor Organoids to Enable Personalized Therapy for Head and Neck Squamous Cell Carcinoma

Profiling of patient-derived organoids uncovers intertumoral heterogeneity and a hybrid epithelial-mesenchymal transition program conferring cisplatin resistance and highlights amphiregulin as a regulator of cellular plasticity and potential therapeutic target for HNSCC treatment.

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Publication Details

Journal
Cancer Research
Published
2025-04-22
DOI
https://doi.org/10.1158/0008-5472.can-24-2850
Citations
7
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
6.55

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article

Genomic and Single-Cell Analyses Characterize Patient-Derived Tumor Organoids to Enable Personalized Therapy for Head and Neck Squamous Cell Carcinoma

De‐Chen Lin, Yueyuan Zheng, Chehyun Nam, Yoon Woo Koh et al.
7 citations
Cancer Research
Cancer Genomics and Diagnostics
6.55
article

Genomic and Single-Cell Analyses Characterize Patient-Derived Tumor Organoids to Enable Personalized Therapy for Head and Neck Squamous Cell Carcinoma

De‐Chen Lin, Yueyuan Zheng, Chehyun Nam, Yoon Woo Koh, Hua Zhao, Su‐Jin Shin, Jung Hyun Um, Young Min Park, Qiong Mao
article en
7 citations

Abstract

Profiling of patient-derived organoids uncovers intertumoral heterogeneity and a hybrid epithelial-mesenchymal transition program conferring cisplatin resistance and highlights amphiregulin as a regulator of cellular plasticity and potential therapeutic target for HNSCC treatment.

Cancer ResearchVol. 85(14)
University of Southern California (US), Sun Yat-sen University (CN), Yonsei University (KR), The Seventh Affiliated Hospital of Sun Yat-sen University (CN), USC Norris Comprehensive Cancer Center (US), Gangnam Severance Hospital (KR), Guangzhou Medical University (CN)
National Research Foundation of Korea, National Institute of Dental and Craniofacial Research, Division of Diabetes, Endocrinology, and Metabolic Diseases
Good health and well-being
Openalex Percentile: Top 3%
Cancer Genomics and Diagnostics
6.55
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