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    Gene expression profiling in cervical cancer: identification of novel markers for disease diagnosis and therapy.

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    Authors
    Martin, Cara M
    Astbury, Katharine
    McEvoy, Lynda
    O'Toole, Sharon
    Sheils, Orla
    O'Leary, John J
    Affiliation
    Department of Pathology, Coombe Women's Hospital, Dublin, Ireland.
    Issue Date
    2012-02-01T10:57:08Z
    MeSH
    Antigens, Neoplasm/genetics/metabolism
    DNA Topoisomerases, Type II/genetics/metabolism
    DNA-Binding Proteins/genetics/metabolism
    Female
    Gene Expression Profiling/instrumentation/*methods
    Humans
    Inhibitor of Apoptosis Proteins
    Microarray Analysis/instrumentation/*methods
    Microtubule-Associated Proteins/genetics/metabolism
    RNA, Neoplasm/analysis
    Reproducibility of Results
    Tumor Markers, Biological/*metabolism
    *Uterine Cervical Neoplasms/diagnosis/genetics/therapy
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    Citation
    Methods Mol Biol. 2009;511:333-59.
    Journal
    Methods in molecular biology (Clifton, N.J.)
    URI
    http://hdl.handle.net/10147/207995
    DOI
    10.1007/978-1-59745-447-6_15
    PubMed ID
    19347305
    Abstract
    Cervical cancer, a potentially preventable disease, remains the second most common malignancy in women worldwide. Human papillomavirus is the single most important etiological agent in cervical cancer. HPV contributes to neoplastic progression through the action of two viral oncoproteins E6 and E7, which interfere with critical cell cycle pathways, p53, and retinoblastoma. However, evidence suggests that HPV infection alone is insufficient to induce malignant changes and other host genetic variations are important in the development of cervical cancer. Advances in molecular biology and high throughput gene expression profiling technologies have heralded a new era in biomarker discovery and identification of molecular targets related to carcinogenesis. These advancements have improved our understanding of carcinogenesis and will facilitate screening, early detection, management, and personalised targeted therapy. In this chapter, we have described the use of high density microarrays to assess gene expression profiles in cervical cancer. Using this approach we have identified a number of novel genes which are differentially expressed in cervical cancer, including several genes involved in cell cycle regulation. These include p16ink4a, MCM 3 and 5, CDC6, Geminin, Cyclins A-D, TOPO2A, CDCA1, and BIRC5. We have validated expression of mRNA using real-time PCR and protein by immunohistochemistry.
    Language
    eng
    ISSN
    1064-3745 (Print)
    1064-3745 (Linking)
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-1-59745-447-6_15
    Scopus Count
    Collections
    Coombe Women & Infants University Hospital

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