作者: Haiyan Yang , Nigel Crawford , Luanne Lukes , Richard Finney , Mindy Lancaster
DOI: 10.1007/S10585-005-6244-6
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摘要: Previous studies from our laboratory have demonstrated that metastatic propensity is significantly influenced by the genetic background upon which tumors arise. We also established human gene expression profiles predictive of metastasis are not only present in mouse with both high and low capacity, but correlate background. These results suggest metastasis-predictive signatures may be driven background, rather than acquired somatic mutations. To test this hypothesis, profiling was performed on inbred strains different efficiencies. Analysis previously described signature patterns normal tissues permitted accurate categorization or genotypes. Furthermore, prospective identification animals at risk achieved using mass spectrometry to characterize salivary peptide polymorphisms a genetically heterogeneous population. strongly support role constitutional variation modulation efficiency could developed humans. The ability identify those individuals disseminated disease time clinical manifestation primary cancer significant impact management.