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MicroRNAs as predictive biomarkers of response to tyrosine kinase inhibitor therapy in metastatic renal cell carcinoma

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F18%3A10378479" target="_blank" >RIV/00216208:11110/18:10378479 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14740/18:00106934 RIV/00209805:_____/18:00078076 RIV/00064190:_____/18:N0000012

  • Result on the web

    <a href="https://doi.org/10.1515/cclm-2017-0861" target="_blank" >https://doi.org/10.1515/cclm-2017-0861</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1515/cclm-2017-0861" target="_blank" >10.1515/cclm-2017-0861</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    MicroRNAs as predictive biomarkers of response to tyrosine kinase inhibitor therapy in metastatic renal cell carcinoma

  • Original language description

    Renal cell carcinoma (RCC) accounts for 2%-3% of all malignant tumours. The first-choice treatment in metastatic RCC (mRCC) patients is tyrosine kinase inhibitors (TKIs). Although TKIs may prolong survival of the treated patients who are not primary resistant, almost all of them will eventually develop secondary resistance to the treatment after a progression-free period. To predict treatment response, thus, we need efficient biomarkers for rational indication of TKIs in mRCC. MicroRNAs (miR-NAs) not only play important roles in the pathogenesis of many cancers, including RCC but also have been shown to serve as promising diagnostic, prognostic and predictive biomarkers in various cancers. However, the potential of miRNAs to predict response to therapy with TKIs in mRCC has not yet gained sufficient attention. Because personalisation of the TKIs indication in mRCC presents an important unmet medical need, we summarise research on this topic and give an overall insight on the current knowledge in this field.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30204 - Oncology

Result continuities

  • Project

    <a href="/en/project/NV15-34678A" target="_blank" >NV15-34678A: Prognostic and predictive molecular factors in patients with metastatic renal cell carcinoma treated with tyrosine kinase inhibitors</a><br>

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Clinical Chemistry and Laboratory Medicine

  • ISSN

    1434-6621

  • e-ISSN

  • Volume of the periodical

    56

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    6

  • Pages from-to

    1426-1431

  • UT code for WoS article

    000440934600017

  • EID of the result in the Scopus database

    2-s2.0-85042377638