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Copy number variation analysis in cytochromes and glutathione S-transferases may predict efficacy of tyrosine kinase inhibitors in chronic myeloid leukemia

Chronic myeloid leukemia (CML) is a myeloproliferative disease characterized by the presence of BCR/ABL fusion gene in leukemic cells, which promotes uncontrolled cell proliferation. Up to 20% of CML patients show primary resistance or non-optimal response to tyrosine kinase inhibitor (TKI) therapy....

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Autores principales: Lavrov, Alexander V., Ustaeva, Oksana A., Adilgereeva, Elmira P., Smirnikhina, Svetlana A., Chelysheva, Ekaterina Y., Shukhov, Oleg A., Shatokhin, Yuriy V., Mordanov, Sergey V., Turkina, Anna G., Kutsev, Sergey I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5597128/
https://www.ncbi.nlm.nih.gov/pubmed/28902850
http://dx.doi.org/10.1371/journal.pone.0182901
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author Lavrov, Alexander V.
Ustaeva, Oksana A.
Adilgereeva, Elmira P.
Smirnikhina, Svetlana A.
Chelysheva, Ekaterina Y.
Shukhov, Oleg A.
Shatokhin, Yuriy V.
Mordanov, Sergey V.
Turkina, Anna G.
Kutsev, Sergey I.
author_facet Lavrov, Alexander V.
Ustaeva, Oksana A.
Adilgereeva, Elmira P.
Smirnikhina, Svetlana A.
Chelysheva, Ekaterina Y.
Shukhov, Oleg A.
Shatokhin, Yuriy V.
Mordanov, Sergey V.
Turkina, Anna G.
Kutsev, Sergey I.
author_sort Lavrov, Alexander V.
collection PubMed
description Chronic myeloid leukemia (CML) is a myeloproliferative disease characterized by the presence of BCR/ABL fusion gene in leukemic cells, which promotes uncontrolled cell proliferation. Up to 20% of CML patients show primary resistance or non-optimal response to tyrosine kinase inhibitor (TKI) therapy. We investigated the association between copy number variation (CNV) in glutathione S-transferases (GST) and cytochromes (CYP) and the response rate to TKI. We enrolled 47 patients with CML: 31 with an optimal response and 16 with failure at 6 months in accordance with European LeukemiaNet 2013 recommendations. CNV detection was performed using SALSA MLPA P128-C1 Cytochrome P450 probe mix. Patients with optimal response and with failure of TKI therapy showed different frequencies of wild type and mutated CYPs and GST (p<0.0013). Validation in the group of 15 patients proved high prognostic value (p = 0.02): positive and negative predictive value 83% and 78%; sensitivity and specificity 71% and 88%. Wild type genotypes of CYP and GST associate with a worse response to TKI treatment in CML patients. This test can be recommended for further clinical trials.
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spelling pubmed-55971282017-09-15 Copy number variation analysis in cytochromes and glutathione S-transferases may predict efficacy of tyrosine kinase inhibitors in chronic myeloid leukemia Lavrov, Alexander V. Ustaeva, Oksana A. Adilgereeva, Elmira P. Smirnikhina, Svetlana A. Chelysheva, Ekaterina Y. Shukhov, Oleg A. Shatokhin, Yuriy V. Mordanov, Sergey V. Turkina, Anna G. Kutsev, Sergey I. PLoS One Research Article Chronic myeloid leukemia (CML) is a myeloproliferative disease characterized by the presence of BCR/ABL fusion gene in leukemic cells, which promotes uncontrolled cell proliferation. Up to 20% of CML patients show primary resistance or non-optimal response to tyrosine kinase inhibitor (TKI) therapy. We investigated the association between copy number variation (CNV) in glutathione S-transferases (GST) and cytochromes (CYP) and the response rate to TKI. We enrolled 47 patients with CML: 31 with an optimal response and 16 with failure at 6 months in accordance with European LeukemiaNet 2013 recommendations. CNV detection was performed using SALSA MLPA P128-C1 Cytochrome P450 probe mix. Patients with optimal response and with failure of TKI therapy showed different frequencies of wild type and mutated CYPs and GST (p<0.0013). Validation in the group of 15 patients proved high prognostic value (p = 0.02): positive and negative predictive value 83% and 78%; sensitivity and specificity 71% and 88%. Wild type genotypes of CYP and GST associate with a worse response to TKI treatment in CML patients. This test can be recommended for further clinical trials. Public Library of Science 2017-09-13 /pmc/articles/PMC5597128/ /pubmed/28902850 http://dx.doi.org/10.1371/journal.pone.0182901 Text en © 2017 Lavrov et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lavrov, Alexander V.
Ustaeva, Oksana A.
Adilgereeva, Elmira P.
Smirnikhina, Svetlana A.
Chelysheva, Ekaterina Y.
Shukhov, Oleg A.
Shatokhin, Yuriy V.
Mordanov, Sergey V.
Turkina, Anna G.
Kutsev, Sergey I.
Copy number variation analysis in cytochromes and glutathione S-transferases may predict efficacy of tyrosine kinase inhibitors in chronic myeloid leukemia
title Copy number variation analysis in cytochromes and glutathione S-transferases may predict efficacy of tyrosine kinase inhibitors in chronic myeloid leukemia
title_full Copy number variation analysis in cytochromes and glutathione S-transferases may predict efficacy of tyrosine kinase inhibitors in chronic myeloid leukemia
title_fullStr Copy number variation analysis in cytochromes and glutathione S-transferases may predict efficacy of tyrosine kinase inhibitors in chronic myeloid leukemia
title_full_unstemmed Copy number variation analysis in cytochromes and glutathione S-transferases may predict efficacy of tyrosine kinase inhibitors in chronic myeloid leukemia
title_short Copy number variation analysis in cytochromes and glutathione S-transferases may predict efficacy of tyrosine kinase inhibitors in chronic myeloid leukemia
title_sort copy number variation analysis in cytochromes and glutathione s-transferases may predict efficacy of tyrosine kinase inhibitors in chronic myeloid leukemia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5597128/
https://www.ncbi.nlm.nih.gov/pubmed/28902850
http://dx.doi.org/10.1371/journal.pone.0182901
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