Identifying the sensitive gene based on the gene expression files and biological network

Objective Discover the sensitive genes of lung cancer and their relationships. Methods Searching the genes with differential expression and gene pairs with differential co-expression in lung cancer, through comparing the samples of lung cancer and control, then we mapped the genes into differential co-expressed networks, sorted the important node with degree, betweenness, vulnerability and closeness centrality respectively, and sorted the genes with the sum of these four characters to filter the sensitive genes. Results 15 important lung associated genes were found in lung cancer, including 13 differential expressed genes. We also found that the expression of CCL19 and TNFSF13B could significantly decrease of expression of other genes even though they were not included in the list of differential expression genes. Conclusion These genes mined by this research provided an important supplementary to the etiology of lung cancer.