作者: Carsten Denkert , Elmar Bucher , Mika Hilvo , Reza Salek , Matej Orešič
DOI: 10.1186/GM336
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摘要: Breast cancer is the most common in women worldwide, and development of new technologies for better understanding molecular changes involved breast progression essential. Metabolic precede overt phenotypic changes, because cellular regulation ultimately affects use small-molecule substrates cell division, growth or environmental such as hypoxia. Differences metabolism between normal cells have been identified. Because small alterations enzyme concentrations activities can cause large overall metabolite levels, metabolome be regarded amplified output a biological system. The coverage human tissues maximized by combining different metabolic profiling. Researchers are investigating steady state metabolites that reflect genetic control metabolism. Metabolomic results used to classify on basis tumor biology, identify prognostic predictive markers discover targets future therapeutic interventions. Here, we examine recent results, including those from European FP7 project METAcancer consortium, show integrated metabolomic analyses provide information stage, subtype grade tumors give mechanistic insights. We predict an intensified screens clinical preclinical studies focusing onset development.