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Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing
Published on: October 10, 2025
559
Gene expression analysis of lung cancer
1Department of Respiratory Disease, Dachang Hospital, Baoshan District, Shanghai, China. zhangtief@hotmail.com.
European Review for Medical and Pharmacological Sciences
|February 4, 2014
Summary
This study identifies 2961 differentially expressed genes (DEGs) in lung cancer, revealing disrupted cell cycle and metabolic pathways. It also pinpoints potential therapeutic targets, including transcription factors, microRNAs, and small molecules like Iloprost for lung cancer treatment.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Lung cancer exhibits distinct gene expression profiles compared to normal lung cells.
- Understanding these differences is crucial for elucidating cancer development mechanisms.
Purpose of the Study:
- To identify differentially expressed genes (DEGs) between lung cancer and normal lung cells.
- To investigate regulatory mechanisms involving transcription factors and microRNAs.
- To discover potential small molecule therapeutics for lung cancer.
Main Methods:
- Utilized Gene Expression Omnibus (GEO) dataset GSE2378 for gene expression profiling.
- Employed R package limma for differential gene expression analysis.
- Performed Gene Ontology (GO) and KEGG pathway enrichment analysis.
- Identified transcription factor and microRNA target sites using MSigDB.
- Screened small molecule drugs via the Connectivity Map database.
Main Results:
- Identified 2961 DEGs between lung cancer and normal lung cells.
- Observed significant dysregulation in cell cycle, metabolic processes, and proteasome pathways.
- Found shared target sites for transcription factors (E2F, ETS, CEBPB) and microRNAs (hsa-miR-196a, hsa-miR-200c) among DEGs.
- Iloprost showed potential to revert cells to a normal state, while MS-275 may be pathogenic.
Conclusions:
- Comprehensive analysis of gene expression profiles provides insights into lung cancer pathogenesis.
- Identified key regulatory elements (transcription factors, microRNAs) and potential therapeutic agents.
- Findings may contribute to novel strategies for lung cancer treatment.
