INTEGRATED MOLECULAR PROFILING FOR ANALYZING AND PREDICTING THERAPEUTIC MECHANISM, RESPONSE, BIOMARKER AND TARGET

Abstract

Tailored cancer diagnosis and treatment has been challenged over a century. Much effort has recently been done for cancer mechanism, treatment development and biomarker identification from the perspective of different molecular profiling. Global gene-expression profiling of microarray technology, for example, which has helped to improve our understanding of the histological heterogeneity of cancer and has been increasely used to discover potential biomarkers for patient classification and promising targets for cancer prevention. However, gene expression profile alone may not reflect the full story of the cancer due to factors of individual variations in patients and somatic cell genetic differences in tumors, even those from the same tissue of origin. In this study, we investigate the therapeutic mechanism, drug efficacy, novel therapeutic targets and biomarkers for cancer prevention and treatment by collectively considering the mutational, amplification and microarray gene expression profiles. A collected tumor specific antigens prediction approach and a cancer marker discovery system have been further developed from microarray data for tumor specific antigens prediction. These collective methods were used to analyze the general and specific mode of actions of combination treatment and prediction of cancer, to evaluate the efficacy of molecular-targeted cancer therapy, and to design bioinformatics tools for tumor biomarker and antigens discovery.