Resistance to Tyrosine Kinase Inhibitors in Chronic Myeloid Leukemia-From Molecular Mechanisms to Clinical Relevance.
Resistance to Tyrosine Kinase Inhibitors in Chronic Myeloid Leukemia-From Molecular Mechanisms to Clinical Relevance.
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慢性粒细胞白血病对酪氨酸激酶抑制剂的耐药-从分子机制到临床相关性。
DOI:
10.3390/cancers13194820
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发表时间:
2021-09-26
期刊:
影响因子:
5.2
通讯作者:
Sarmento Ribeiro AB
中科院分区:
文献类型:
--
作者:
Alves R;Gonçalves AC;Rutella S;Almeida AM;De Las Rivas J;Trougakos IP;Sarmento Ribeiro AB
Chronic myeloid leukemia (CML) is a myeloproliferative neoplasia associated with a molecular alteration, the fusion gene BCR-ABL1, that encodes the tyrosine kinase oncoprotein BCR-ABL1. This led to the development of tyrosine kinase inhibitors (TKI), with Imatinib being the first TKI approved. Although the vast majority of CML patients respond to Imatinib, resistance to this targeted therapy contributes to therapeutic failure and relapse. Here we review the molecular mechanisms and other factors (e.g., patient adherence) involved in TKI resistance, the methodologies to access these mechanisms, and the possible therapeutic approaches to circumvent TKI resistance in CML. Resistance to targeted therapies is a complex and multifactorial process that culminates in the selection of a cancer clone with the ability to evade treatment. Chronic myeloid leukemia (CML) was the first malignancy recognized to be associated with a genetic alteration, the t(9;22)(q34;q11). This translocation originates the BCR-ABL1 fusion gene, encoding the cytoplasmic chimeric BCR-ABL1 protein that displays an abnormally high tyrosine kinase activity. Although the vast majority of patients with CML respond to Imatinib, a tyrosine kinase inhibitor (TKI), resistance might occur either de novo or during treatment. In CML, the TKI resistance mechanisms are usually subdivided into BCR-ABL1-dependent and independent mechanisms. Furthermore, patients’ compliance/adherence to therapy is critical to CML management. Techniques with enhanced sensitivity like NGS and dPCR, the use of artificial intelligence (AI) techniques, and the development of mathematical modeling and computational prediction methods could reveal the underlying mechanisms of drug resistance and facilitate the design of more effective treatment strategies for improving drug efficacy in CML patients. Here we review the molecular mechanisms and other factors involved in resistance to TKIs in CML and the new methodologies to access these mechanisms, and the therapeutic approaches to circumvent TKI resistance.
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影响因子:
6.4
作者:
Bai, Dong;Ueno, Lynn;Vogt, Peter K.
通讯作者:
Vogt, Peter K.
影响因子:
2.7
作者:
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影响因子:
15.9
作者:
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通讯作者:
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影响因子:
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作者:
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通讯作者:
von Bubnoff, N.
DOI:
10.1016/j.ddtec.2014.03.003
发表时间:
2014-03-01
期刊:
Drug discovery today. Technologies
影响因子:
--
作者:
Balabanov, Stefan;Braig, Melanie;Brummendorf, Tim H
通讯作者:
Brummendorf, Tim H