Background: Lung adenocarcinoma (LADC) is the most common type of lung cancer
and is a subtype of non-small-cell lung cancer (NSCLC). Approximately 40% of LADC patients experience
brain metastases (BMs) during the course of the disease. In this study, integrated bioinformatics
methods were applied to identify key genes related to brain metastasis in lung adenocarcinoma.
Methods: We derived and characterized genes differentially expressed between the primary tumour
and brain metastases using tumour cells isolated from two lung cancer Patient-derived xenografts
(PDX) cases (GSE 69405). Gene ontology (GO) and KEGG pathway enrichment analyses
were applied, and protein-protein interaction (PPI) networks and Cytoscape software were utilized
to identify key genes.
Results: Four key genes, including CKAP4 (Cytoskeleton Associated Protein 4), SERPINA1 (Serpin
Family A Member 1), SDC2 (Syndecan 2) and GNG11 (G Protein Subunit Gamma 11) were
identified for BM-LADC by the Venn diagram.
Conclusion: We believe these key genes may be potential biomarkers for improved prognosis and
treatment of lung adenocarcinoma.