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Updated: Jun 10, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
From NPC therapeutic target identification to potential treatment strategy
Ming-Ying Lan1, Chi-Long Chen, Kuan-Ting Lin
1Department of Otolaryngology, Taichung Veterans General Hospital, Taichung, Taiwan.
This study identifies key genes involved in nasopharyngeal carcinoma (NPC) development. By analyzing gene networks, researchers prioritized potential drug targets, offering a new approach for NPC treatment strategies.
Area of Science:
- Oncology
- Bioinformatics
- Systems Biology
Background:
- Nasopharyngeal carcinoma (NPC) is prevalent in Southern Asia, with numerous identified differentially expressed genes.
- Prioritizing therapeutic targets and drugs from extensive gene lists for NPC remains a significant challenge.
Purpose of the Study:
- To develop a computational pipeline for identifying key regulatory genes and potential therapeutic drugs for nasopharyngeal carcinoma.
- To prioritize therapeutic targets and drugs from unsorted gene lists using network analysis.
Main Methods:
- Collected and analyzed upregulated and downregulated genes from published data.
- Constructed protein-protein interaction networks to identify clique-based hubs and bottleneck genes.
- Integrated network analysis with pathway analysis and functional profiling to generate a final gene signature.
- Queried the Connectivity Map with gene signatures to identify potential drugs.
Main Results:
- Identified 24 upregulated and 6 downregulated bottleneck genes crucial for NPC carcinogenesis.
- Generated a final gene signature comprising 38 upregulated and 10 downregulated genes.
- Successfully identified potential drugs with cytotoxicity against NPC cancer cells using the developed pipeline.
Conclusions:
- The in silico approach effectively prioritizes therapeutic targets and identifies potential drugs for nasopharyngeal carcinoma.
- This method offers a valuable strategy for various cancer research, facilitating target identification and drug discovery.
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