Identification of Key Biomarkers and Pathways in Small-Cell Lung Cancer Using Biological Analysis
| Autor: | Tingting Li, Jun Lyu, Xunda Ye, Huanqing Liu |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Lung Neoplasms
Article Subject Computational biology Kaplan-Meier Estimate Biology medicine.disease_cause General Biochemistry Genetics and Molecular Biology Downregulation and upregulation medicine Biomarkers Tumor Humans Gene Regulatory Networks Protein Interaction Maps Lung cancer Mitosis Gene General Immunology and Microbiology Gene Expression Profiling DNA replication Molecular Sequence Annotation General Medicine Cell cycle medicine.disease Prognosis Small Cell Lung Carcinoma respiratory tract diseases Gene Expression Regulation Neoplastic Medicine Signal transduction Carcinogenesis Signal Transduction Research Article |
| Zdroj: | BioMed Research International BioMed Research International, Vol 2021 (2021) |
| ISSN: | 2314-6141 |
| Popis: | Background. Small-cell lung cancer (SCLC) is a major cause of carcinoma-related deaths worldwide. The aim of this study was to identify the key biomarkers and pathways in SCLC using biological analysis. Methods. Key genes involved in the development of SCLC were identified by downloading three datasets from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were screened using the GEO2R online analyzer; for the functional annotation and pathway enrichment analysis of genes, Funrich software was used. Construction of protein-to-protein interaction (PPI) networks was accomplished using the Search Tool for the Retrieval of Interacting Genes (STRING), and network visualization and module identification were performed using Cytoscape. Results. A total of 268 DEGs were ultimately obtained. The enriched functions and pathways of the upregulated DEGs included cell cycle, mitotic, and DNA replication, and the downregulated DEGs were enriched in epithelial-to-mesenchymal transition, serotonin degradation, and noradrenaline. Analysis of significant modules demonstrated that the upregulated genes are primarily concentrated in functions related to cell cycle and DNA replication. Kaplan-Meier analysis of hub genes revealed that they may promote the carcinogenesis and progression of SCLC. The result of ONCOMINE demonstrated that these 10 hub genes were significantly overexpressed in SCLC compared with normal samples. Conclusion. Identification of the molecular functions and signaling pathways of participating DEGs can deepen the current understanding of the molecular mechanisms of SCLC. The knowledge gained from this work may contribute to the development of treatment options and improve the prognosis of SCLC in the future. |
| Databáze: | OpenAIRE |
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