Identification of potential therapeutic target genes and mechanisms in non-small-cell lung carcinoma in non-smoking women based on bioinformatics analysis.

Objective: The study was aimed to explore the underlying mechanisms and identify the potential target genes by bioinformatics analysis for non-small-cell lung carcinoma (NSCLC) treatment in non-smoking women.

Methods: The microarray data of GSE19804 was downloaded from Gene Expression Omnibus (GEO) database. Paired samples (from the same patient) of tumor and normal lung tissues from 60 non-smoking female NSCLC patients were used to identify differentially expressed genes (DEGs). The functional enrichment analysis was performed. Furthermore, the protein-protein interaction (PPI) network of the DEGs was constructed by Cytoscape software. The module analysis was performed.

Results: Totally, 817 DEGs including 273 up- and 544 down-regulated genes were identified. The up-regulated genes were mainly enriched in extracellular matrix (ECM)-receptor interaction, focal adhesion and cell cycle functions, while down-regulated genes were mainly enriched in the cytokine-cytokine receptor interaction pathway. DEGs including hyaluronan-mediated motility receptor (HMMR), collagen, type I alpha 2 (COL1A2), cyclin A2 (CCNA2), MAD2 mitotic arrest deficient-like 1 (MAD2L1), interleukin 6 (IL6) and interleukin 1, beta (IL1B) were identified in these functions. These genes were hub nodes in PPI networks. Besides, there were 3 up-regulated modules and 1 down-regulated module. The significant pathways were ECM-receptor interaction and focal adhesion in up-regulated modules, while in down-regulated module, the significant pathway was mitogen-activated protein kinase (MAPK) signaling pathway.

Conclusions: The ECM-receptor interaction, focal adhesion, cell cycle and cytokine-cytokine receptor interaction functions may be associated with NSCLC development. Genes such as HMMR, COL1A2, CCNA2, MAD2L1, IL6 and IL1B may be potential therapeutic target genes for NSCLC.