Molecular epidemiology and its current clinical use in cancer management

作者: Mikael Hartman , En Yun Loy , Chee Seng Ku , Kee Seng Chia

DOI: 10.1016/S1470-2045(10)70005-X

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摘要: Summary The revelation of the entire human DNA sequence in 2001, and launching international haplotype map (HapMap) project, made identification common markers disease possible, dramatically transforming molecular epidemiology. In recent years, development of, discoveries within, genome research have been rapid, highlighted by current explosion genome-wide association studies (GWAS). GWAS aim at finding germline changes that increase cancer risk. An equally important rapid had seen genomics, with great strides being our understanding somatic mutations allow accompany development. this review we discuss whether it is currently possible to use these new aid reduction mortality reducing risk disease, improving prognosis, keeping complications due treatment a minimum. Findings from mostly used predict risk, but there potential them for prognostication even prediction. Expression arrays identified prognostic patterns breast cancer, few reliable are available More importantly, virtually no genetic signatures morbidity treatment. Thus, need bring different biological techniques together integrate existing clinical oncological care simultaneous outcome assessment.

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