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    Mechanisms of Disease: prediction and prevention of breast cancer--cellular and molecular interactions.

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    Authors
    Howell, Anthony
    Sims, Andrew H
    Ong, Kai Ren
    Harvie, Michelle N
    Evans, D Gareth R
    Clarke, Robert B
    Affiliation
    Dept of Medical Oncology, University of Manchester, Christie Hospital, Withington, UK. maria.parker@christie-tr.nwest.nhs.uk
    Issue Date
    2005-12
    
    Metadata
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    Abstract
    Breast cancer is the most prevalent female cancer in the world and its incidence is increasing, largely because of the Western lifestyle. There is a need, not only to predict women who will develop the disease, but also to apply drug and lifestyle measures in order to prevent the disease. Current risk prediction models are based on combinations of risk factors and have good predictive but low discriminatory power. New risk prediction methods might come from examination of single nucleotide polymorphisms in several genes or from an increased knowledge of the molecular and cellular biology of the breast, particularly with respect to aberrant gene expression and protein synthesis. These methods might also determine new targets for preventive agents and lifestyle change. Many potential preventive measures are available and some have been successful. New approaches are required, however, not only to prevent the disease but to devise methods for their assessment that do not require very large and expensive clinical trials.
    Citation
    Mechanisms of Disease: prediction and prevention of breast cancer--cellular and molecular interactions. 2005, 2 (12):635-46 Nat Clin Pract Oncol
    Journal
    Nature Clinical Practice. Oncology
    URI
    http://hdl.handle.net/10541/76836
    DOI
    10.1038/ncponc0361
    PubMed ID
    16341119
    Type
    Article
    Language
    en
    ISSN
    1743-4254
    ae974a485f413a2113503eed53cd6c53
    10.1038/ncponc0361
    Scopus Count
    Collections
    All Christie Publications
    All Paterson Institute for Cancer Research

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