Identification of differentially expressed genes between lung adenocarcinoma and lung squamous cell carcinoma by gene expression profiling.

Abstract

The present study aimed to identify the differentially expressed genes (DEGs) between lung adenocarcinoma and normal lung tissues, and between lung squamous cell carcinoma and normal lung tissues, with the purpose of identifying potential biomarkers for the treatment of lung cancer. The gene expression profile (GSE6044) was downloaded from the Gene Expression Omnibus database, which included data from 10 lung adenocarcinoma samples, 10 lung squamous cell carcinoma samples, and five matched normal lung tissue samples. After data processing, DEGs were identified using the Student's t‑test adjusted via the Benjamini‑Hochberg method. Subsequently, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of the DEGs was performed using the Database for Annotation, Visualization and Integrated Discovery, and a global network was constructed. A total of 95 upregulated and 241 downregulated DEGs were detected in lung adenocarcinoma samples, and 204 upregulated and 285 downregulated DEGs were detected in lung squamous cell carcinoma samples, as compared with the normal lung tissue samples. The DEGs in the lung squamous cell carcinoma group were enriched in the following three pathways: Hsa04110, Cell cycle; hsa03030, DNA replication; and hsa03430, mismatch repair. However, the DEGs in the lung adenocarcinoma group were not significantly enriched in any specific pathway. Subsequently, a global network of lung cancer was constructed, which consisted of 341 genes and 1,569 edges, of which the top five genes were HSP90AA1, BCL2, CDK2, KIT and HDAC2. The expression trends of the above genes were different in lung adenocarcinoma and lung squamous cell carcinoma when compared with normal tissues. Therefore, these genes were suggested to be crucial genes for differentiating lung adenocarcinoma and lung squamous cell carcinoma.

• Authors: Chaojing Lu, Hezhong Chen, Zhengxiang Shan, Lixin Yang
• Journal: Molecular medicine reports (Mol Med Rep) Vol. 14 Issue 2 Pg. 1483-90 (Aug 2016) ISSN: 1791-3004 [Electronic] Greece
• PMID: 27356570 (Publication Type: Journal Article)

Topics

• Adenocarcinoma (genetics, metabolism)
• Carcinoma, Squamous Cell (genetics, metabolism)
• Computational Biology (methods)
• Databases, Genetic
• Gene Expression Profiling
• Gene Expression Regulation, Neoplastic
• Gene Regulatory Networks
• Humans
• Lung Neoplasms (genetics, metabolism)
• Protein Interaction Mapping
• Protein Interaction Maps
• Transcriptome