Identification of potential prognostic markers for lung adenocarcinoma using comprehensive analysis

Lung adenocarcinoma (LUAD) is a common malignancy throughout the world with high levels of mortality and morbidity. In the present study, potential biomarkers and treatment targets for LUAD were investigated using data from The Cancer Genome Atlas. Overall, 4,485 differentially expressed genes (DEGs) were identified (1,857 upregulated and 2,628 downregulated) between tumor and adjacent control tissues. Functional analysis with Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Gene Set Variation Analysis and Gene Set Enrichment Analysis revealed significant enrichment of the DEGs in pathways related to system development, cell cycle and cell adhesion. Weighted gene co-expression network analysis distinguished ten co-expression modules on inclusion of the clinical profiles of patients with LUAD. Of these, the blue/turquoise modules showed peak association with tumor onset. Analysis of hub modules identified five hub genes, namely ANGPTL7, SLC6A4, PTPRQ, KCNA4 and TEDC2 (also known as C16orf59). Survival analysis revealed associations between hub-gene expression profiles and patient prognosis. Downregulation of SLC6A4 in LUAD tumor tissues was confirmed using immunohistochemistry. Additional assays (Cell Counting Kit-8, colony formation, scratch assay, cell cycle, Transwell invasion assay and cell adhesion assay) revealed that SLC6A4 overexpression inhibited A549 cell growth, invasion and migration. The findings demonstrated that the hub genes could act as treatment targets or new biomarkers for LUAD.