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    Next-generation biomarkers for cholangiocarcinoma

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    Authors
    Rodrigues, P M
    Vogel A
    Arrese, M
    Balderramo, D C
    Valle, Juan W
    Banales, J M
    Affiliation
    Department of Liver and Gastrointestinal Diseases, Biodonostia Health Research Institute, Donostia University Hospital, University of the Basque Country (UPV/EHU), 20014 San Sebastian,
    Issue Date
    2021
    
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    Abstract
    The increasing mortality rates of cholangiocarcinoma (CCA) registered during the last decades are, at least in part, a result of the lack of accurate non-invasive biomarkers for early disease diagnosis, making the identification of patients who might benefit from potentially curative approaches (i.e., surgery) extremely challenging. The obscure CCA pathogenesis and associated etiological factors, as well as the lack of symptoms in patients with early tumor stages, highly compromises CCA identification and to predict tumor development in at-risk populations. Currently, CCA diagnosis is accomplished by the combination of clinical/biochemical features, radiological imaging and non-specific serum tumor biomarkers, although a tumor biopsy is still needed to confirm disease diagnosis. Furthermore, prognostic and predictive biomarkers are still lacking and urgently needed. During the recent years, high-throughput omics-based approaches have identified novel circulating biomarkers (diagnostic and prognostic) that might be included in large, international validation studies in the near future. In this review, we summarize and discuss the most recent advances in the field of biomarker discovery in CCA, providing new insights and future research directions.
    Citation
    Rodrigues PM, Vogel A, Arrese M, Balderramo DC, Valle JW, Banales JM. Next-Generation Biomarkers for Cholangiocarcinoma. Cancers . 2021 Jun 28;13(13):3222.
    Journal
    Cancers
    URI
    http://hdl.handle.net/10541/624254
    DOI
    10.3390/cancers13133222
    PubMed ID
    34203269
    Additional Links
    https://dx.doi.org/10.3390/cancers13133222
    Type
    Other
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.3390/cancers13133222
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