Insights into KMT2A rearrangements in acute myeloid leukemia: from molecular characteristics to targeted therapies.

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Sara Zehtabcheh, Hamed Soleimani Samarkhazan, Marjan Asadi, Mitra Zabihi, Sahar Parkhideh, Mohammad Hossein Mohammadi
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引用次数: 0

Abstract

Acute myeloid leukemia (AML) with KMT2A rearrangements (KMT2A-r) represents a highly aggressive and prognostically unfavorable subtype of leukemia, often resistant to standard treatments and associated with high relapse rates. KMT2A-r, found in 3-10% of adult AML cases, disrupt epigenetic regulation by forming chimeric proteins that activate oncogenic pathways like HOXA and MEIS1. These fusion proteins recruit cofactors such as Menin and DOT1L, driving leukemogenesis through abnormal histone methylation. Diagnosing KMT2A-r AML requires precision, with traditional methods like FISH and RT-PCR being complemented by advanced technologies such as next-generation sequencing (NGS) and machine learning (ML). ML models, leveraging transcriptomic data, can predict KMT2A-r and identify biomarkers like LAMP5 and SKIDA1, improving risk stratification. Therapeutically, there is a shift from chemotherapy to targeted therapies. Menin inhibitors (e.g., Revumenib, Ziftomenib) disrupt the Menin-KMT2A interaction, suppressing HOXA/MEIS1 and promoting differentiation. DOT1L inhibitors (e.g., Pinometostat) show promise in combination therapies, while novel approaches like WDR5 inhibitors and PROTAC-mediated degradation are expanding treatment options. Despite progress, challenges remain, including optimizing minimal residual disease monitoring, overcoming resistance, and validating biomarkers. This review emphasizes the imperative to translate molecular insights into personalized therapeutic regimens, offering renewed hope for patients afflicted by this historically refractory malignancy.

急性髓系白血病中KMT2A重排的研究:从分子特征到靶向治疗
急性髓性白血病(AML)伴KMT2A重排(KMT2A-r)是一种高度侵袭性且预后不利的白血病亚型,通常对标准治疗具有耐药性,并伴有高复发率。在3-10%的成人AML病例中发现的KMT2A-r,通过形成嵌合蛋白激活HOXA和MEIS1等致癌途径来破坏表观遗传调节。这些融合蛋白招募辅助因子如Menin和DOT1L,通过异常组蛋白甲基化驱动白血病发生。诊断KMT2A-r AML需要精度,传统方法如FISH和RT-PCR,辅以先进技术如下一代测序(NGS)和机器学习(ML)。利用转录组学数据的ML模型可以预测KMT2A-r并识别LAMP5和SKIDA1等生物标志物,从而改善风险分层。治疗方面,从化疗转向靶向治疗。Menin抑制剂(如Revumenib、Ziftomenib)破坏Menin- kmt2a相互作用,抑制HOXA/MEIS1并促进分化。DOT1L抑制剂(如Pinometostat)在联合治疗中显示出希望,而WDR5抑制剂和protac介导的降解等新方法正在扩大治疗选择。尽管取得了进展,但挑战依然存在,包括优化最小残留疾病监测、克服耐药性和验证生物标志物。这篇综述强调了将分子见解转化为个性化治疗方案的必要性,为这种历史上难治性恶性肿瘤患者提供了新的希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
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