Transcription profiling of human japanese breast cancer patients to predict breast cancer prognosis by gene expression profile of TP53 status

ABSTRACT: TP53 mutations are a poor prognostic factor in breast cancers. This study sets out to identify the gene set that determine expression signature of the TP53 status (TP53 signature) and to correlate it with clinical outcome. Using comprehensive expression analysis and DNA sequencing of the TP53 gene in 38 Japanese breast cancer patients, we have isolated a gene set of 33 genes from differentially expressed genes in the learning set (n=26), depending on the TP53 status. Predictive accuracy of TP53 status by gene expression profile was 83.3% in the test set (n=12). As independent external datasets, two published datasets were introduced for validation of TP53 status prediction (251 Swedish samples) and survival analysis (both the Swedish and 295 Dutch samples). TP53 signature has the ability t

ORGANISM(S): Homo sapiens

SUBMITTER: Takahashi Shin 

PROVIDER: S-ECPF-GEOD-5546 | biostudies-other |

REPOSITORIES: biostudies-other