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@proceedings{1642624,
author = {Bohošová, Júlia and Juráček, Jaroslav and Poprach, Alexandr and Buchler, T. and Fiala, O. and Radová, Lenka and Svoboda, Marek and Kopková, Alena and Večeřa, Marek and Slabý, Ondřej},
booktitle = {AACR Annual Meeting on Bioinformatics, Convergence Science, and Systems Biology},
doi = {http://dx.doi.org/10.1158/1538-7445.AM2019-1800},
keywords = {miR-376b; miR-4668},
language = {eng},
title = {miR-376b and miR-4668 predict therapeutic response to sunitinib in metastatic renal cell carcinoma},
year = {2019}
}
TY - CONF
ID - 1642624
AU - Bohošová, Júlia - Juráček, Jaroslav - Poprach, Alexandr - Buchler, T. - Fiala, O. - Radová, Lenka - Svoboda, Marek - Kopková, Alena - Večeřa, Marek - Slabý, Ondřej
PY - 2019
TI - miR-376b and miR-4668 predict therapeutic response to sunitinib in metastatic renal cell carcinoma
KW - miR-376b
KW - miR-4668
N2 - Metastatic renal cell carcinoma (mRCC) is routinely treated with sunitinib, a tyrosine kinase inhibitor (TKI) of VEGF signalisation. Although disease eventually progresses in most mRCC patients, length of progression-free survival (PFS) is ranging from few weeks up to more than 24 months. Patients with initial resistance to sunitinib could be redirected to other therapeutical options, as there are several other TKIs available for use in second and third line. However, without a reliable biomarker no result can be predicted. MicroRNAs (miRNAs) belong to class of short non-coding RNAs and could serve as biomarkers of therapy response due to their unique character and presence in tissues and body fluids. Their biomarker potential has been discussed concerning many diseases including mRCC, but current knowledge is very weak, has several discrepancies and is acquired on relatively small cohorts.
ER -
BOHOŠOVÁ, Júlia, Jaroslav JURÁČEK, Alexandr POPRACH, T. BUCHLER, O. FIALA, Lenka RADOVÁ, Marek SVOBODA, Alena KOPKOVÁ, Marek VEČEŘA a Ondřej SLABÝ. miR-376b and miR-4668 predict therapeutic response to sunitinib in metastatic renal cell carcinoma. In \textit{AACR Annual Meeting on Bioinformatics, Convergence Science, and Systems Biology}. 2019. ISSN~0008-5472. Dostupné z: https://dx.doi.org/10.1158/1538-7445.AM2019-1800.
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