Identifying actionable targets through integrative analyses of GEM model and human prostate cancer genomic profiling.

ABSTRACT: Copy-number alterations (CNA) are among the most common molecular events in human prostate cancer genomes and are associated with worse prognosis. Identification of the oncogenic drivers within these CNAs is challenging due to the broad nature of these genomic gains or losses which can include large numbers of genes within a given region. Here, we profiled the genomes of four genetically engineered mouse prostate cancer models that reflect oncogenic events common in human prostate tumors, with the goal of integrating these data with human prostate cancer datasets to identify shared molecular events. Met was amplified in 67% of prostate tumors from Pten p53 prostate conditional null mice and in approximately 30% of metastatic human prostate cancer specimens, often in association with loss o

SUBMITTER: Wanjala J 

PROVIDER: S-EPMC4297258 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature