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    Novel risk models for early detection and screening of ovarian cancer.

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    Authors
    Russell, M
    D'Amato, A
    Graham, C
    Crosbie, E
    Gentry-Maharaj, A
    Ryan, A
    Kalsi, J
    Fourkala, E
    Dive, Caroline
    Walker, M
    Whetton, A
    Menon, U
    Jacobs, I
    Graham, R
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    Affiliation
    Stoller Biomarker Discovery Centre and Pathology Node, Division of Molecular and Clinical Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester
    Issue Date
    2017-01-03
    
    Metadata
    Show full item record
    Abstract
    Ovarian cancer (OC) is the most lethal gynaecological cancer. Early detection is required to improve patient survival. Risk estimation models were constructed for Type I (Model I) and Type II (Model II) OC from analysis of Protein Z, Fibronectin, C-reactive protein and CA125 levels in prospectively collected samples from the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS).
    Citation
    Novel risk models for early detection and screening of ovarian cancer. 2017, 8(1):785-797 Oncotarget
    Journal
    Oncotarget
    URI
    http://hdl.handle.net/10541/620157
    DOI
    10.18632/oncotarget.13648
    PubMed ID
    27903971
    Type
    Article
    Language
    en
    ISSN
    1949-2553
    ae974a485f413a2113503eed53cd6c53
    10.18632/oncotarget.13648
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

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