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    Proteomic classification of breast cancer.

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    Authors
    Kamel, Dalia
    Brady, Bernadette
    Tabchy, Adel
    Mills, Gordon B
    Hennessy, Bryan
    Affiliation
    Department of Medical Oncology, Our Lady of Lourdes Hospital, Drogheda, Ireland. dsskamel@hotmail.com
    Issue Date
    2012-11
    MeSH
    Animals
    Breast Neoplasms
    Female
    Humans
    Individualized Medicine
    Neoplasm Proteins
    Predictive Value of Tests
    Prognosis
    Proteomics
    Tumor Markers, Biological
    
    Metadata
    Show full item record
    Citation
    Proteomic classification of breast cancer. 2012, 13 (12):1495-509 Curr Drug Targets
    Journal
    Current drug targets
    URI
    http://hdl.handle.net/10147/296529
    PubMed ID
    22974393
    Abstract
    Being a significant health problem that affects patients in various age groups, breast cancer has been extensively studied to date. Recently, molecular breast cancer classification has advanced significantly with the availability of genomic profiling technologies. Proteomic technologies have also advanced from traditional protein assays including enzyme-linked immunosorbent assay, immunoblotting and immunohistochemistry to more comprehensive approaches including mass spectrometry and reverse phase protein lysate arrays (RPPA). The purpose of this manuscript is to review the current protein markers that influence breast cancer prediction and prognosis and to focus on novel advances in proteomic classification of breast cancer.
    Item Type
    Article
    Language
    en
    ISSN
    1873-5592
    Collections
    Our Lady of Lourdes Hospital

    entitlement

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