关键词: 癌症基因组图谱数据库, 乳腺癌, 差异表达基因, 预后

Abstract: Recently, the incidence of breast cancer increased year by year, and there is a trend that patients with breast cancer are more and more younger. This paper used the Cancer Genomes Atlas database to identify genes that associated with breast cancer prognosis. In order to exclude the difference between sampling time of cancer tissues and normal tissue, we selected 113 pair breast cancer tissues and its adjacent normal tissues simultaneously. We got their transcriptome data from TCGA(RNAseqV2，raw count), and these data were analyzed by DEseq, finally 1428 differentially expressed genes were screened out(padj<0.05 and ABS (log2foldchange) >1). Next we analyzed these differential expression genes by Gene Ontology, Disease Ontology, KEGG and Enrichment Analysis, and screened out 68 differential expression genes related to breast cancer. Finally, we analyzed the overall survival rates by comparing the genes expression data of cancer from 1097 patients, and we found 8 genes that associated with prognosis. PGLYRP2, SEMA3G, PROL1, SLC7A3 were highly expressied in breast cancer patients live with a good prognosis, while SKA1, BIRC5, RRM2, AURKA were highly expressied in patients live with a poor prognosis. The 8 genes above may be a group of genes related to breast cancer prognosis, which may give a novel direction to breast cancer treatment, and make a good prognosis through regulation of gene possible.

Key words: TCGA database, breast cancer, differential expression genes, prognosis