慢性髓系白血病相关ABL1变异对5种酪氨酸激酶抑制剂的综合耐药性分析

IF 26.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL
Yusang Jung,Goosang Yu,Hyeong-Cheol Oh,Jueng-Hu Lee,Eunhye Jeon,Juhyeon Bae,Taebo Sim,Hyongbum Henry Kim
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引用次数: 0

摘要

有四代酪氨酸激酶抑制剂(TKIs)靶向慢性髓系白血病中的BCR-ABL1突变(一种融合癌基因),但预测这些TKIs对ABL1突变患者的耐药谱有时很困难,特别是当临床指南中没有包括这些突变时。在这里,我们使用引物编辑在编码ABL1激酶结构域的序列中生成97%(2,802/2,892)的所有可能的单核苷酸变体,其中涵盖98%(1,954/1,998)的所有可能的相应单氨基酸变体。我们利用K562细胞评估了它们对5种TKI(伊马替尼、尼洛替尼、博舒替尼、波纳替尼和阿西米尼)耐药性的影响,跨越了所有4代TKI。我们鉴定出361对具有抗性的单氨基酸变异和相应的tki。我们的综合耐药图谱将补充基于ABL1突变的慢性髓性白血病患者药物选择的临床指南,促进精准医疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive resistance profiling of chronic myeloid leukaemia associated ABL1 variants against five tyrosine kinase inhibitors using prime editing.
There are four generations of tyrosine kinase inhibitors (TKIs) that target BCR-ABL1 mutations, a fusion oncogene, in chronic myeloid leukaemia, but predicting the resistance profiles of these TKIs for patients with ABL1 mutations is sometimes difficult, especially when the mutations are not included by clinical guidelines. Here we use prime editing to generate 97% (2,802/2,892) of all possible single-nucleotide variants in the sequence encoding the ABL1 kinase domain, which covers 98% (1,954/1,998) of all possible corresponding single amino acid variants. We evaluated their effects on resistance to five TKIs (imatinib, nilotinib, bosutinib, ponatinib and asciminib), spanning all four TKI generations by using K562 cells. We identified 361 pairs of resistance-conferring single amino acid variants and the corresponding TKIs. Our comprehensive resistance map will complement clinical guidelines in drug selection for patients with chronic myeloid leukaemia based on ABL1 mutations, facilitating precision medicine.
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来源期刊
Nature Biomedical Engineering
Nature Biomedical Engineering Medicine-Medicine (miscellaneous)
CiteScore
45.30
自引率
1.10%
发文量
138
期刊介绍: Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.
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