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慢性髓性白血病患者的酪氨酸激酶抑制剂测序

Tyrosine Kinase Inhibitor Sequencing in Patients with Chronic Myeloid Leukemia.

作者信息

Tiribelli Mario, Eskazan Ahmet Emre

机构信息

Division of Hematology and BMT, Department of Medical Area, University of Udine, Udine, Italy.

Division of Hematology, Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.

出版信息

Oncol Ther. 2019 Dec;7(2):95-100. doi: 10.1007/s40487-019-00098-w. Epub 2019 Aug 8.

Abstract

The management of chronic myeloid leukemia (CML) has been revolutionized by the discovery of tyrosine kinase inhibitors (TKIs) against BCR-ABL1 oncogenic fusion protein. Imatinib, the first BCR-ABL1 TKI, was introduced into clinical practice in the early 2000s. In the following years, the so-called second-generation TKIs (2GTKIs)-dasatinib, nilotinib, and bosutinib were approved, initially for patients resistant to imatinib, and subsequently for front-line treatment. With multiple TKIs available, selection of first-line therapy is challenging. CML risk, patient characteristics and potential toxicities of different TKIs play a fundamental role, in particular when deciding between imatinib and 2GTKIs as frontline treatment. So, when deciding front-line therapy for a patient with CML in the chronic phase (CML-CP), clinicians must consider both the long-term outcomes, such as overall survival and progression-free survival, as well as safety, tolerance and possible treatment discontinuation. This paper offers a practical algorithmic approach for the sequential use of commercially available TKIs in patients with CML-CP along with the data available in the literature.

摘要

针对BCR-ABL1致癌融合蛋白的酪氨酸激酶抑制剂(TKIs)的发现,彻底改变了慢性髓性白血病(CML)的治疗方式。伊马替尼是首个BCR-ABL1 TKI,于21世纪初被引入临床实践。在随后的几年里,所谓的第二代TKIs(2GTKIs)——达沙替尼、尼洛替尼和博舒替尼被批准使用,最初用于对伊马替尼耐药的患者,随后用于一线治疗。有多种TKIs可供选择,一线治疗的选择具有挑战性。CML风险、患者特征以及不同TKIs的潜在毒性起着至关重要的作用,尤其是在决定将伊马替尼和2GTKIs作为一线治疗方案时。因此,在为慢性期CML(CML-CP)患者决定一线治疗方案时,临床医生必须同时考虑长期疗效,如总生存期和无进展生存期,以及安全性、耐受性和可能的治疗中断情况。本文提供了一种实用的算法方法,用于在CML-CP患者中序贯使用市售TKIs,并结合了文献中的数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee30/7360015/3e03c98739ef/40487_2019_98_Fig1_HTML.jpg

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