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难治性急性髓系白血病的异质性。

Heterogeneity in refractory acute myeloid leukemia.

机构信息

Laboratory of Cell Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892;

Laboratory of Myeloid Malignancies, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20814.

出版信息

Proc Natl Acad Sci U S A. 2019 May 21;116(21):10494-10503. doi: 10.1073/pnas.1902375116. Epub 2019 May 7.

Abstract

Successful clinical remission to therapy for acute myeloid leukemia (AML) is required for long-term survival to be achieved. Despite trends in improved survival due to better supportive care, up to 40% of patients will have refractory disease, which has a poorly understood biology and carries a dismal prognosis. The development of effective treatment strategies has been hindered by a general lack of knowledge about mechanisms of chemotherapy resistance. Here, through transcriptomic analysis of 154 cases of treatment-naive AML, three chemorefractory patient groups with distinct expression profiles are identified. A classifier, four key refractory gene signatures (RG4), trained based on the expression profile of the highest risk refractory patients, validated in an independent cohort ( = 131), was prognostic for overall survival (OS) and refined an established 17-gene stemness score. Refractory subpopulations have differential expression in pathways involved in cell cycle, transcription, translation, metabolism, and/or stem cell properties. Ex vivo drug sensitivity to 122 small-molecule inhibitors revealed effective group-specific targeting of pathways among these three refractory groups. Gene expression profiling by RNA sequencing had a suboptimal ability to correctly predict those individuals resistant to conventional cytotoxic induction therapy, but could risk-stratify for OS and identify subjects most likely to have superior responses to a specific alternative therapy. Such personalized therapy may be studied prospectively in clinical trials.

摘要

治疗急性髓系白血病(AML)的临床缓解是实现长期生存所必需的。尽管由于更好的支持性护理而改善了生存趋势,但仍有多达 40%的患者会出现难治性疾病,其生物学机制尚不清楚,预后不良。由于对化疗耐药机制缺乏普遍了解,有效的治疗策略的发展受到了阻碍。在这里,通过对 154 例未经治疗的 AML 病例的转录组分析,确定了三种具有不同表达谱的化疗耐药患者群体。基于最高风险耐药患者的表达谱训练的分类器,即四个关键耐药基因特征(RG4),在一个独立的队列(= 131)中进行了验证,可预测总生存(OS)并对现有的 17 个基因干性评分进行了细化。耐药亚群在涉及细胞周期、转录、翻译、代谢和/或干细胞特性的途径中表现出差异表达。对 122 种小分子抑制剂的体外药物敏感性研究显示,这三种耐药组之间存在有效的靶向特定途径的方法。RNA 测序的基因表达谱分析对那些对常规细胞毒性诱导治疗有耐药性的个体的正确预测能力不佳,但可以对 OS 进行风险分层,并确定最有可能对特定替代治疗有更好反应的患者。这种个性化治疗可能会在临床试验中进行前瞻性研究。

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