Exploring effective biomarkers and potential immune related gene in small cell lung cancer

探索小细胞肺癌的有效生物标志物和潜在的免疫相关基因

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作者:Yang Yunchu, Akihiko Miyanaga, Kuniko Matsuda, Koichiro Kamio, Masahiro Seike

Methods

batch correction and "RobustRankAggregation". After the establishment of a protein-protein interaction network through Cytoscape, seven hub genes (AURKB, BIRC5, TOP2A, TYMS, PCNA, UBE2C, and AURKA) with high expression in SCLC samples were obtained by eight CytoHubba algorithms. The Least Absolute Shrinkage and Selection Operator regression and the Wilcoxon test were used to analyze the differences in the immune cells' infiltration between normal and SCLC samples. The contents of seven kinds of immune cells were considered to differ significantly between SCLC samples and normal samples. A negative association was found between BIRC5 and monocytes in the correlation analysis between immune cells and the seven hub genes. The subsequent in vitro validation of experimental

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