Literature DB >> 33782818

Current status and novel strategy of CML.

Kiyomi Morita1, Koji Sasaki2.   

Abstract

The advent of tyrosine kinase inhibitors (TKIs) has dramatically improved the outcome of patients with chronic myeloid leukemia (CML). Currently, four TKIs are available for the frontline treatment, including the first-generation TKI (imatinib) and the second-generation TKIs (dasatinib, nilotinib, and bosutinib). The second-generation TKIs lead to a faster and deeper molecular response without a survival benefit compared with imatinib. However, the opportunity for the treatment discontinuation and functional cure requires the achievement of durable deep molecular remission. Therefore, the second-generation TKIs should be considered as initial therapy for chronic-phase CML. Switch of therapy is warranted in case of treatment failure, including resistance and/or intolerance. The life expectancy of patients with CML is approaching that of the general population. Given an expected lifespan, future perspectives should consider the strategy for the optimal choice of TKIs, allowing for long-duration of effective TKI therapy with less toxicity to aim for a functional cure. A novel prediction approach such as artificial intelligence-driven analysis on the accumulated data from clinical trials paves a promising path for the personalized recommendation on frontline TKIs and precise survival prediction.

Entities:  

Keywords:  Artificial intelligence; Chronic myeloid leukemia; Tyrosine kinase inhibitor

Mesh:

Substances:

Year:  2021        PMID: 33782818     DOI: 10.1007/s12185-021-03127-5

Source DB:  PubMed          Journal:  Int J Hematol        ISSN: 0925-5710            Impact factor:   2.490


  64 in total

Review 1.  Monitoring the response and course of chronic myeloid leukemia in the modern era of BCR-ABL tyrosine kinase inhibitors: practical advice on the use and interpretation of monitoring methods.

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Review 5.  Molecular monitoring in chronic myeloid leukemia: response to tyrosine kinase inhibitors and prognostic implications.

Authors:  Elias Jabbour; Jorge E Cortes; Hagop M Kantarjian
Journal:  Cancer       Date:  2008-05-15       Impact factor: 6.860

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Journal:  Cell       Date:  1992-09-18       Impact factor: 41.582

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Journal:  Blood       Date:  1993-09-15       Impact factor: 22.113

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Journal:  J Exp Med       Date:  1996-03-01       Impact factor: 14.307

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  5 in total

Review 1.  Dose optimization of tyrosine kinase inhibitor therapy in chronic myeloid leukemia.

Authors:  Yoshihiro Umezawa; Koji Sasaki
Journal:  Int J Hematol       Date:  2022-09-10       Impact factor: 2.319

Review 2.  Chromosomal Instability in Chronic Myeloid Leukemia: Mechanistic Insights and Effects.

Authors:  Jayastu Senapati; Koji Sasaki
Journal:  Cancers (Basel)       Date:  2022-05-21       Impact factor: 6.575

3.  [Combination of socio-demographic and clinical co-variates for predicting treatment responses and outcomes in patients with chronic myeloid leukemia in the chronic phase].

Authors:  X S Zhang; Y Z Qin; Y Y Lai; H X Shi; X J Huang; Q Jiang
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2022-01-14

4.  The proteolysis targeting chimera GMB-475 combined with dasatinib for the treatment of chronic myeloid leukemia with BCR::ABL1 mutants.

Authors:  Wu Ye; Xia Wu; Xiaojia Wang; Xiaoyu Wei; Yuqian Tang; Xianfeng Ouyang; Yuping Gong
Journal:  Front Pharmacol       Date:  2022-10-03       Impact factor: 5.988

Review 5.  Understanding and Monitoring Chronic Myeloid Leukemia Blast Crisis: How to Better Manage Patients.

Authors:  Lulu Wang; Li Li; Rongrong Chen; Xianbo Huang; Xiujin Ye
Journal:  Cancer Manag Res       Date:  2021-06-23       Impact factor: 3.989

  5 in total

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