Simplifying procedure for prediction of resistance risk in CML patients - Test of sensitivity to TKI ex vivo
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
27067491
DOI
10.1016/j.bcmd.2016.03.005
PII: S1079-9796(16)30019-5
Knihovny.cz E-zdroje
- Klíčová slova
- Chronic myeloid leukemia, Early predictors, Resistance,
- MeSH
- antitumorózní látky farmakologie terapeutické užití MeSH
- buněčná smrt účinky léků MeSH
- chemorezistence * MeSH
- chronická myeloidní leukemie farmakoterapie patologie MeSH
- dasatinib farmakologie terapeutické užití MeSH
- imatinib mesylát farmakologie terapeutické užití MeSH
- inhibitory proteinkinas farmakologie terapeutické užití MeSH
- leukocyty účinky léků patologie MeSH
- lidé MeSH
- nádorové buněčné linie MeSH
- pyrimidiny farmakologie terapeutické užití MeSH
- viabilita buněk účinky léků MeSH
- výsledek terapie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- antitumorózní látky MeSH
- dasatinib MeSH
- imatinib mesylát MeSH
- inhibitory proteinkinas MeSH
- nilotinib MeSH Prohlížeč
- pyrimidiny MeSH
Tyrosine kinase inhibitors (TKIs) targeting BCR-ABL have dramatically improved chronic myeloid leukemia therapy. While imatinib remains to be the first line therapy, about 30% of patients develop resistance or intolerance to this drug and are recommended to switch to other TKIs. Nilotinib and dasatinib are currently implemented into the first line therapy and other inhibitors have already entered the clinical practice. This opens further questions on how to select the best TKI for each patient not only during the therapy but also at diagnosis. The individualized therapy concept requires a reliable establishment of prognosis and prediction of response to the available TKIs. We tested the ex vivo sensitivity of patient primary leukocytes to imatinib, nilotinib and dasatinib - two concentrations of each inhibitor for 48h incubation - and we evaluated the usefulness of such tests for the clinical practice. Besides reflecting the actual sensitivity to the therapy, our optimized simple tests were able to predict the outcome in 90/87% of patients, for the next 12/24months, respectively. According to these results, the presented ex vivo testing could help clinicians to select the appropriate drug for each patient at diagnosis and also at any time of the therapy.
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