Gene microarray analysis of ovarian serous cystadenocarcinoma-related genes based on TCGA / 中国病理生理杂志

ABSTRACT

[ ABSTRACT] AIM:To detect the differentially expressed genes associated with ovarian serous cystadenocarcino -ma ( OV) by microarray and to analyze the participated signaling pathway .METHODS:We analyzed 16 datasets of Affy-metrix GeneChip Human Exon 1.0 ST Arrays from The Cancer Genome Atlas ( TCGA) , including 8 OV and 8 normal ovary samples.The function of differential genes was determined by pathway and gene ontology ( GO) analysis.The probable functions of the key genes were predicted according to intergenic signal transduction network .RESULTS:The 1 144 genes were identified as distinctively expressed in OV (P<0.05), 747 of which were up-regulated and 397 were down-regula-ted.The GO analysis results showed that the altered genes were involved in 362 up-regulated and 160 down-regulated sig-nificant functions (P<0.05) related to cell cycle, DNA replication, cell proliferation, cell apoptosis, cell adhesion, etc. The pathways of the different genes were involved in the 59 enrichment-related pathways (P<0.05), 45 of which were up-regulated and 14 were down-regulated.Among the 59 pathways, cell cycle, P53 signaling pathway, DNA replication, path-ways in cancer, PI3K-Akt signaling pathway, ECM-receptor signaling pathway, cell adhesion molecules and cell apoptosis were related to tumor genesis , development and metastasis .As a result, 229 genes with significant functions and pathways in GO and pathway analysis were selected to construct signal transduction network ( Signal-Net), 4 of which, CDK1, PLK1, MCM3 and PGK1, were found to play key roles in OV signal regulation network .CONCLUSION: The OV shows abundant differentially expressed genes that play key roles in cancer-related signal pathways .