METHODS, SYSTEMS, AND ARRAYS BASED ON CORRELATING P53 STATUS WITH GENE EXPRESSION PROFILES, FOR CLASSIFICATION, PROGNOSIS, AND DIAGNOSIS OF CANCERS

摘要

The present invention provides methods, systems and compositions for predicting disease susceptibility in a patient based on correlating p53 mutational status and gene expression profiles for a set of predetermined genes. In some embodiments, methods for the classification, prognosis, and diagnosis of cancers are provided. In other embodiments, the present invention provides statistical methods for building a gene-expression-based classifier that may be employe for predicting disease susceptibility in a patient, for classifying carcinomas, and for the prognosis of clinical outcomes.