Identification of immune regulatory protein coding genes in the development of lung adenocarcinom a (LUAD)

Abstract

Purpose: To verify the differential expressed genes (DEGs) based on The Cancer Genome Atlas (TCGA) using RNA-seq data from eight LUAD patients Methods: TCGA database was used for extraction and analysis of RNA-seq profile in LUAD patients. Then RNA sequencing was performed using the tissue samples from eight LUAD patients for comparison. Weighted correlation network analysis (WGCNA) was applied to establish the co-expression modules and identify hub genes using RNA-seq data from the eight LUAD patients. Protein-protein interaction (PPI) analysis was used to reveal hub genes and GO analysis was performed for functional annotation including immune responses. Results: ALDH3A1, METTL7B, WFDC2 and CDH23 that had close correlation with the immune system were identified by TCGA and validated by RNA-seq from the eight LUAD patients. IL17REL was revealed as a potential oncogene in LUAD. Conclusion: This study highlighted potentially useful biomarkers associated with LUAD development and diagnosis.