PO.CL01.23 · 临床研究

非洲血统队列中急性髓系白血病的基因组图谱:一项初步研究

Genomic landscape of acute myeloid leukemia in an African ancestry cohort: A pilot study

海报缩略图:非洲血统队列中急性髓系白血病的基因组图谱:一项初步研究
编号 3774 展板 18 时间 4/20 02:00–05:00 区域 Section 42 主讲 Oluyemi Akinloye, PhD
分会场 Circulating Tumor Cells, Metastasis, and Dissemination Biology 2
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作者与单位 Authors & Affiliations

Oluyemi Akinloye1, Olayiwola Akianji Popoola1, Olatunde Olugbenga Fakoya1, Stella Samson Rwazuala2, Nneka Nwanyiaru Osobukola1, Michael Forster3

1Center for Genomics of NCDs and Personalized Healthcare (CGNPH), University of Lagos, Lagos, Nigeria,2Department of Haematology, Muhimbili University of Health and Allied Sciences, Dr es Salaam, Tanzania, United Republic of,3Department of Clinical Molecular Biology, University of Kiel, Kiel, Germany

摘要 Abstract

中文摘要
引言:急性髓系白血病(AML)是一种多样化的血液系统癌症,其特征是未成熟克隆性髓系细胞的失控生长和发育异常。AML患者的年龄、体能状态、合并症、遗传学以及其他白血病特有的临床特征(如分子分类)均影响其预后。 方法:在一个初步的混合非洲样本(坦桑尼亚和尼日利亚)中,我们探索并鉴定基因组突变及其对非洲血统人群AML临床结局的可能影响。本初步研究共招募了六名参与者:n=4(67%)来自坦桑尼亚,n=2(33%),年龄范围14-71岁,(2)33%为女性,(4)67%为女性。从所有参与者的血液样本中获取基因组DNA;使用与白血病相关的靶向选择基因制备DNA文库,并在Illumina下一代测序仪上进行测序。 结果:本研究在非洲血统人群中显示出众多且多样的突变。CEBPA和BTK显示100%突变,而STAG2、CALR、BRAF、NOTCH1和ZRSR2在AML中显示出最低的突变率(17%)。错义突变在CSF3R、NRAS、BRAF、ASXL1、BTK和CBL中占主导,而CALR和NOTCH1仅有框内缺失。在FLT3 AML_3中发现了框内驱动突变,而FLT3和NOTCH1仅在AML_4中被发现。所有样本在SETBP1、CEBPA和BTK中均有突变。检测到的致病性突变频率为:FLT3中67%,NRAS中33%,BRAF、NOTCH1和CALR中17%。本研究中鉴定出的NRAS突变已被与AML以外的其他癌症相关联,并在我们的队列中脱颖而出,既是AML生物学的遗传修饰因子,也是治疗靶点。BRCA1和TP53是TCGA数据集中最常见的致病性突变变异。它们均显示出强大的治疗靶向潜力。 结论:在该非洲血统人群中鉴定出的分子特征展示了非洲血统人群的基因组多样性。本研究中鉴定的一些基因组变异在AML中鲜有记录(NRAS;Gln61His、Gly13Asp:BRAF Val600Glu、Val640Glu)。这表明有必要审视AML诊断和管理的基因组标准,尤其是在获得更全面的非洲血统人群数据时。我们描述了AML中各种突变基因及其潜在治疗靶点,包括DASATINIB(CBL),其作为非洲血统人群AML治疗靶点显示出前景。本研究为将资源投入更大规模队列并进一步探索非洲血统人群的基因组多样性和变异提供了依据。 关键词:急性髓系白血病:非洲血统人群:突变多样性与变异:治疗靶点
查看英文原文 English abstract
Introduction: Acute myeloid leukemia (AML) is a diverse hematologic cancer that is distinguished by the uncontrolled growth and improper development of immature clonal myeloid cells. AML patients' age, performance status, comorbidities, genetics, and other clinical characteristics unique to leukemia, such as molecular classification, all influence their prognosis. Methods: In a pilot mixed African sample (Tanzania and Nigeria), we explore and identify genomic mutations and their possible influence on the clinical outcome of AML in an African Ancestry population. A total of six participants were recruited for the pilot study: n=4 (67%) from Tanzania and n=2 (33%) with an age range of between 14-71 years, and (2)33% female and (4)67% females. Genomic DNA was obtained from blood samples of all participants; a DNA library was prepared with targeted selected genes associated with Leukemia and sequenced on an Illumina Next-generation sequencer. Results: The study demonstrated numerous and diverse mutations in the African ancestry population. While CEBPA and BTK show 100% mutation, STAG2, CALR, BRAF, NOTCH1, and ZRSR2 demonstrated the lowest mutation (17%) in AML. A missense mutation predominates in CSF3R, NRAS, BRAF, ASXL1, BTK, and CBL, while CALR and NOTCH1 had only in-frame deletions. In-frame driver mutations were found in FLT3 AML_3, while FLT3 and NOTCH1 were found only in AML_4. All samples had a mutation in SETBP1, CEBPA, and BTK. Pathogenic mutations were detected with a frequency of 67% in FLT3, 33% in NRAS and 17% in BRAF, NOTCH1, and CALR. The NRAS mutations identified in this study have been associated with cancers other than AML and stand out in our cohort, as both genetic modifiers of AML biology and therapeutic targets. BRCA1 and TP53 are the most common pathogenic mutated variants in the TCGA dataset. They both show robust therapeutic targeting potential. Conclusions: The molecular signature identified in this African Ancestry population demonstrated genomic diversity in the African Ancestry population. Some of the genomic variations identified in this study are rarely documented in AML (NRAS; Gln61His, Gly13Asp: BRAF Val600Glu, Val640Glu). This is an indication of the need to review the genomic criteria for the diagnosis and management of AML, especially with more comprehensive data of the African Ancestry population. We describe various mutated genes with their potential therapeutic targets in AML, including DASATINIB (CBL), which shows promise as a therapeutic target for AML in the African Ancestry population. This study provides a basis for committing resources to a larger cohort and further exploring the genomic diversity and variants in an African Ancestry population. Keywords: Acute Myeloid Leukemia: African Ancestry Population: Mutations Diversity and Variants: Therapeutic Targets
利益披露 Disclosure
O. Akinloye, None.. O. A. Popoola, None.. O. O. Fakoya, None. S. S. Rwazuala, Roche East Africa ). N. N. Osobukola, None.. M. Forster, None.

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