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通过 boutique 微阵列、实时 PCR 和液滴数字 PCR 对成人 AML-M1 和 -M2 急性髓细胞白血病样本进行基因表达谱分析。

Gene expression profiling of acute myeloid leukemia samples from adult patients with AML-M1 and -M2 through boutique microarrays, real-time PCR and droplet digital PCR.

机构信息

European Center for Bioinformatics and Genomics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, 61-704 Poznan, Poland.

Department of Hematology and Bone Marrow Transplantation, Poznan University of Medical Sciences, 60-569 Poznan, Poland.

出版信息

Int J Oncol. 2018 Mar;52(3):656-678. doi: 10.3892/ijo.2017.4233. Epub 2017 Dec 28.

DOI:10.3892/ijo.2017.4233
PMID:29286103
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5807040/
Abstract

Acute myeloid leukemia (AML) is the most common and severe form of acute leukemia diagnosed in adults. Owing to its heterogeneity, AML is divided into classes associated with different treatment outcomes and specific gene expression profiles. Based on previous studies on AML, in this study, we designed and generated an AML-array containing 900 oligonucleotide probes complementary to human genes implicated in hematopoietic cell differentiation and maturation, proliferation, apoptosis and leukemic transformation. The AML-array was used to hybridize 118 samples from 33 patients with AML of the M1 and M2 subtypes of the French-American‑British (FAB) classification and 15 healthy volunteers (HV). Rigorous analysis of the microarray data revealed that 83 genes were differentially expressed between the patients with AML and the HV, including genes not yet discussed in the context of AML pathogenesis. The most overexpressed genes in AML were STMN1, KITLG, CDK6, MCM5, KRAS, CEBPA, MYC, ANGPT1, SRGN, RPLP0, ENO1 and SET, whereas the most underexpressed genes were IFITM1, LTB, FCN1, BIRC3, LYZ, ADD3, S100A9, FCER1G, PTRPE, CD74 and TMSB4X. The overexpression of the CPA3 gene was specific for AML with mutated NPM1 and FLT3. Although the microarray-based method was insufficient to differentiate between any other AML subgroups, quantitative PCR approaches enabled us to identify 3 genes (ANXA3, S100A9 and WT1) whose expression can be used to discriminate between the 2 studied AML FAB subtypes. The expression levels of the ANXA3 and S100A9 genes were increased, whereas those of WT1 were decreased in the AML-M2 compared to the AML-M1 group. We also examined the association between the STMN1, CAT and ABL1 genes, and the FLT3 and NPM1 mutation status. FLT3+/NPM1- AML was associated with the highest expression of STMN1, and ABL1 was upregulated in FLT3+ AML and CAT in FLT3- AML, irrespectively of the NPM1 mutation status. Moreover, our results indicated that CAT and WT1 gene expression levels correlated with the response to therapy. CAT expression was highest in patients who remained longer under complete remission, whereas WT1 expression increased with treatment resistance. On the whole, this study demonstrates that the AML-array can potentially serve as a first-line screening tool, and may be helpful for the diagnosis of AML, whereas the differentiation between AML subgroups can be more successfully performed with PCR-based analysis of a few marker genes.

摘要

急性髓系白血病(AML)是成年人中最常见和最严重的急性白血病。由于其异质性,AML 分为与不同治疗结果和特定基因表达谱相关的类别。基于之前对 AML 的研究,在本研究中,我们设计并生成了一个 AML 微阵列,其中包含 900 个与造血细胞分化和成熟、增殖、凋亡和白血病转化相关的人类基因互补的寡核苷酸探针。AML 微阵列用于杂交 33 名 AML 患者的 118 个样本,这些患者的 FAB 分类为 M1 和 M2 亚型,以及 15 名健康志愿者(HV)。对微阵列数据的严格分析表明,AML 患者与 HV 之间有 83 个基因表达差异,其中包括在 AML 发病机制背景下尚未讨论过的基因。AML 中过度表达的基因包括 STMN1、KITLG、CDK6、MCM5、KRAS、CEBPA、MYC、ANGPT1、SRGN、RPLP0、ENO1 和 SET,而表达最低的基因包括 IFITM1、LTB、FCN1、BIRC3、LYZ、ADD3、S100A9、FCER1G、PTRPE、CD74 和 TMSB4X。CPA3 基因的过表达特异性针对 NPM1 和 FLT3 突变的 AML。尽管基于微阵列的方法不足以区分任何其他 AML 亚组,但定量 PCR 方法使我们能够识别 3 个基因(ANXA3、S100A9 和 WT1),其表达可用于区分所研究的 2 种 AML FAB 亚型。与 AML-M1 相比,AML-M2 中 ANXA3 和 S100A9 基因的表达水平升高,而 WT1 基因的表达水平降低。我们还检查了 STMN1、CAT 和 ABL1 基因与 FLT3 和 NPM1 突变状态之间的关联。FLT3+/NPM1-AML 与 STMN1 的最高表达相关,而 ABL1 在 FLT3+AML 中上调,CAT 在 FLT3-AML 中上调,与 NPM1 突变状态无关。此外,我们的结果表明,CAT 和 WT1 基因表达水平与治疗反应相关。CAT 表达在更长时间处于完全缓解的患者中最高,而 WT1 表达随着治疗耐药性的增加而增加。总的来说,这项研究表明 AML 微阵列可能作为一线筛选工具,有助于 AML 的诊断,而亚组的区分则可以通过少数标记基因的 PCR 分析更成功地进行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a37e/5807040/35f3a68ad85a/IJO-52-03-0656-g05.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a37e/5807040/35f3a68ad85a/IJO-52-03-0656-g05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a37e/5807040/bb3e1c221447/IJO-52-03-0656-g00.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a37e/5807040/985a30320750/IJO-52-03-0656-g01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a37e/5807040/0d0e6143ecbc/IJO-52-03-0656-g02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a37e/5807040/6e428de3aaed/IJO-52-03-0656-g03.jpg
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