Hierarchical Network Analysis for Discovering Potential Therapeutic Inhibitors in Head and Neck Cancer

Background: Head and neck squamous cell carcinoma (HNSCC) is characterized by pronounced molecular heterogeneity, immune microenvironment dysregulation, and limited therapeutic options in advanced human papillomavirus (HPV)-negative diseases. System-level approaches may facilitate the identification of core pathogenic mechanisms and clinically applicable therapeutic strategies. Aim: This study aimed to elucidate system-level mechanisms underlying HNSCC and to identify potential drug repurposing candidates using an integrative systems biology and pharmacology approach. Methods: Transcriptomic data from the Gene Expression Omnibus dataset GSE148944 (61 HNSCC tumors and 6 normal tissues) were analyzed. Differentially expressed genes (DEGs) were identified using |fold change| ≥ 2 and an adjusted P value ≤ 0.05. Hierarchical systems biology networks (HiSBiNs) quantify perturbations across genes, pathways, subsystems, and system levels using the Kyoto Encyclopedia of Genes and Genomes and meta-z scores. Drug–gene networks integrated DEGs with DrugBank/BindingDB data. Pharmacophore-guided virtual screening of FDA-approved drugs was conducted using Homopharma/SiMMap and iGEMDOCK. Results: We found 271 upregulated and 36 downregulated DEGs, including SPP1 , ARG1 , MS4A1 , CXCL13 , and SPINK5 , linked to immune regulation and tumor microenvironment. HiSBiN highlighted the immune system (meta-z = highest), and the signaling pathways were the most perturbed. The top candidates were rituximab, tocilizumab, and dasatinib. Conclusion: This integrative hierarchical systems biology and pharmacology framework elucidated the system-level mechanisms underlying HNSCC and identified hypothesis-generating drug repurposing candidates that warrant further experimental validation, providing a computational foundation, rather than definitive recommendations, for precision therapeutic development, especially in betel nut–prevalent regions, such as Taiwan, where HPV-negative HNSCC predominates.

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Journal
Journal of Medical Sciences
Published
2026-06-30
DOI
https://doi.org/10.4103/jmedsci.jmedsci_40_26
Primary Topic
Head and Neck Cancer Studies
Type
article
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article

Hierarchical Network Analysis for Discovering Potential Therapeutic Inhibitors in Head and Neck Cancer

Chao‐Yin Kuo, Sheng‐Yao Cheng, Jinn‐Moon Yang, Shih‐Wei Hsu et al.
Journal of Medical Sciences
Head and Neck Cancer Studies
article

Hierarchical Network Analysis for Discovering Potential Therapeutic Inhibitors in Head and Neck Cancer

Chao‐Yin Kuo, Sheng‐Yao Cheng, Jinn‐Moon Yang, Shih‐Wei Hsu, C D Yang, Wen-Sen Lai
article en

Abstract

Background: Head and neck squamous cell carcinoma (HNSCC) is characterized by pronounced molecular heterogeneity, immune microenvironment dysregulation, and limited therapeutic options in advanced human papillomavirus (HPV)-negative diseases. System-level approaches may facilitate the identification of core pathogenic mechanisms and clinically applicable therapeutic strategies. Aim: This study aimed to elucidate system-level mechanisms underlying HNSCC and to identify potential drug repurposing candidates using an integrative systems biology and pharmacology approach. Methods: Transcriptomic data from the Gene Expression Omnibus dataset GSE148944 (61 HNSCC tumors and 6 normal tissues) were analyzed. Differentially expressed genes (DEGs) were identified using |fold change| ≥ 2 and an adjusted P value ≤ 0.05. Hierarchical systems biology networks (HiSBiNs) quantify perturbations across genes, pathways, subsystems, and system levels using the Kyoto Encyclopedia of Genes and Genomes and meta-z scores. Drug–gene networks integrated DEGs with DrugBank/BindingDB data. Pharmacophore-guided virtual screening of FDA-approved drugs was conducted using Homopharma/SiMMap and iGEMDOCK. Results: We found 271 upregulated and 36 downregulated DEGs, including SPP1 , ARG1 , MS4A1 , CXCL13 , and SPINK5 , linked to immune regulation and tumor microenvironment. HiSBiN highlighted the immune system (meta-z = highest), and the signaling pathways were the most perturbed. The top candidates were rituximab, tocilizumab, and dasatinib. Conclusion: This integrative hierarchical systems biology and pharmacology framework elucidated the system-level mechanisms underlying HNSCC and identified hypothesis-generating drug repurposing candidates that warrant further experimental validation, providing a computational foundation, rather than definitive recommendations, for precision therapeutic development, especially in betel nut–prevalent regions, such as Taiwan, where HPV-negative HNSCC predominates.

Journal of Medical Sciences
National Taiwan Normal University (TW), National Yang Ming Chiao Tung University (TW), Ministry of Health and Welfare (TW), Taichung Armed Forces General Hospital (TW), National Defense Medical Center (TW)
Good health and well-being
Openalex Percentile: Top 6%
Head and Neck Cancer Studies
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