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Background   Lung adenocarcinoma (LUAD) comprises around 40% of all lung cancers, and in about 70% of patients, it has spread locally or systemically when first detected leading to a worse prognosis.Methods   We filtered out differentially expressed genes (DEGs) based on the RNA sequencing data in the Gene Expression Omnibus database and verified and deeply analyzed screened DEGs using a combined bioinformatics approach.Results   Expressions of 11,143 genes in 694 nontumor lung tissues and LUAD cases from 8 independent laboratories were analyzed; 188 mRNAs were identified as differentially expressed genes (DEGs). A PPI network constructed with 188 DEGs screened out 8 hub DEGs ( CDH5 ,  PECAM1 ,  VWF ,  CLDN5 ,  COL1A1 ,  MMP9 ,  SPP1 , and  IL6 ) which highly interconnected with other nodes. The expression levels of 8 hub genes in LUAD and control were assessed in the Oncomine database, and the results were consistent. The survival curves of 8 hub genes showed that their expressions are significantly related to the prognosis of lung cancer and LUAD patients except for  IL6 . Since the expression of  IL6  is nonspecific and highly sensitive, we choose the other 7 hub genes we had verified to do the next analysis. Mutual exclusivity or cooccurrence analysis of 7 hub genes identified a tendency towards cooccurrence between  CDH5 ,  PECAM1 , and  VWF  in LUAD. The coexpression profiles of  CDH5  in LUAD were identified, and we found that  PECAM1  and  VWF  coexpressed with CDH5. Immunohistochemistry and RT-PCR analysis showed that higher levels of  CDH5 ,  PECAM1 , and  VWF  were expressed in normal lung tissues but a low or undetectable level was found in LUAD tissues.Conclusions   Taken together, we speculate that  CDH5 ,  PECAM1 , and  VWF  played an important role in LUAD.

Interactive Verification Analysis of Multiple Sequencing Data for Identifying Potential Biomarker of Lung Adenocarcinoma