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    Cell-free nucleic acids as noninvasive biomarkers for colorectal cancer detection

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    fgene-05-00182.pdf
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    Type
    Article
    Authors
    Mansour, Hicham
    KAUST Department
    Bioscience Core Lab
    Date
    2014-08-27
    Permanent link to this record
    http://hdl.handle.net/10754/593266
    
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    Abstract
    Cell-free nucleic acids (CFNA) have been reported by several authors in blood, stool, and urine of patients with colorectal cancer (CRC). These genetic biomarkers can be an indication of neoplastic colorectal epithelial cells, and can thus potentially be used as noninvasive tests for the detection of the disease in CRC patients and monitor their staging, without the need to use heavier and invasive tools. In a number of test-trials, these genetic tests have shown the advantage of non-invasiveness, making them well accepted by most of the patients, without major side effects. They have also shown a promising sensitivity and specificity in the detection of malignant and premalignant neoplasms. Moreover, costs for performing such tests are very low. Several studies reported and confirmed the proof of the principle for these genetic tests for screening, diagnosis, and prognosis; the main challenge of translating this approach from research to clinical laboratory is the validation from large and long-term randomized trials to prove sustainable high sensitivity and specificity. In this paper, we present a review on the noninvasive genetics biomarkers for CRC detection described in the literature and the challenges that can be encountered for validation processes.
    Citation
    Cell-free nucleic acids as noninvasive biomarkers for colorectal cancer detection 2014, 5 Frontiers in Genetics
    Publisher
    Frontiers Media SA
    Journal
    Frontiers in Genetics
    DOI
    10.3389/fgene.2014.00182
    PubMed ID
    25221563
    Additional Links
    http://journal.frontiersin.org/article/10.3389/fgene.2014.00182/abstract
    ae974a485f413a2113503eed53cd6c53
    10.3389/fgene.2014.00182
    Scopus Count
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    Articles; Bioscience Core Lab

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