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利用单细胞网络分析技术对急性髓系白血病进行功能途径分析:标本来源(骨髓或外周血)对检测结果的影响。

Functional pathway analysis in acute myeloid leukemia using single cell network profiling assay: effect of specimen source (bone marrow or peripheral blood) on assay readouts.

机构信息

Clinical Affairs, Nodality Inc., South San Francisco, California 94080, USA.

出版信息

Cytometry B Clin Cytom. 2012 May;82(3):158-72. doi: 10.1002/cyto.b.21007. Epub 2012 Feb 14.

Abstract

BACKGROUND

Single cell network profiling (SCNP) is used to simultaneously measure the effects of modulators on signaling networks at the single cell level. SCNP-based biomarker assays predictive of response to induction therapy and relapse risk in acute myeloid leukemia (AML) patients are being developed. Such assays have typically used bone marrow (BM) as the sample source of blasts. Because circulating peripheral blasts are detectable in ∼65% of AML patients and peripheral blood (PB) sampling is less invasive than BM sampling, this study was performed to assess the effect of sample source on AML blasts signaling as measured in SCNP assay.

METHODS

SCNP using multiparametric flow cytometry was used to evaluate the activation state of intracellular signaling molecules in leukemic blasts under basal conditions and after treatment with modulators in 46 pairs of BM mononuclear cells/PB mononuclear cells. The relationship between readouts of modulated intracellular proteins ("nodes") was measured using linear regression, Bland-Altman method, and Lin's concordance correlation coefficient.

RESULTS

The majority (156/161) of signaling nodes show strong correlations between paired PB and BM samples independently from the statistical method used. Notable exceptions were two PB samples with almost undetectable levels of circulating blasts compared with paired BM samples.

CONCLUSIONS

Our results demonstrate that specimen source (BM or PB) does not significantly affect proteomic signaling in patients with AML and circulating blasts. The ability to use PB as a sample source will facilitate the monitoring of cellular signaling effects following administration of targeted therapies and at time points when BM aspirates are not clinically justifiable.

摘要

背景

单细胞网络分析(SCNP)用于在单细胞水平上同时测量调节剂对信号网络的影响。正在开发基于 SCNP 的生物标志物测定法,以预测急性髓系白血病(AML)患者对诱导治疗的反应和复发风险。此类测定法通常使用骨髓(BM)作为原始细胞的样本来源。因为在约 65%的 AML 患者中可检测到循环外周原始细胞,并且外周血(PB)采样比 BM 采样的侵入性更小,因此进行了这项研究以评估样本来源对 SCNP 测定法中测量的 AML 原始细胞信号的影响。

方法

使用多参数流式细胞术的 SCNP 用于评估在基础条件下和在用调节剂处理后,白血病原始细胞内细胞信号分子的激活状态,使用 46 对 BM 单核细胞/PB 单核细胞进行了测定。使用线性回归、Bland-Altman 方法和 Lin 的一致性相关系数来测量调节后的细胞内蛋白质(“节点”)的读出值之间的关系。

结果

大多数(156/161)信号节点之间存在很强的相关性,无论使用哪种统计方法,配对的 PB 和 BM 样本之间均存在很强的相关性。值得注意的例外是两个 PB 样本与配对的 BM 样本相比,循环原始细胞的水平几乎无法检测到。

结论

我们的结果表明,标本来源(BM 或 PB)不会显著影响 AML 患者和循环原始细胞中的蛋白质组信号。能够将 PB 用作样本来源将有助于在施用靶向治疗后以及在 BM 抽吸在临床上不可行时监测细胞信号的影响。

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本文引用的文献

1
Modulated multiparametric phosphoflow cytometry in hematological malignancies: technology and clinical applications.
Best Pract Res Clin Haematol. 2010 Sep;23(3):319-31. doi: 10.1016/j.beha.2010.07.002. Epub 2010 Nov 10.
2
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Clin Cancer Res. 2010 Jul 15;16(14):3721-33. doi: 10.1158/1078-0432.CCR-10-0093. Epub 2010 Jun 4.
4
Molecular markers in acute myeloid leukemia.
Clin Adv Hematol Oncol. 2009 Jul;7(7):448-51.
5
Impact of new prognostic markers in treatment decisions in acute myeloid leukemia.
Curr Opin Hematol. 2009 Mar;16(2):98-104. doi: 10.1097/MOH.0b013e3283257adb.
7
Mutations and treatment outcome in cytogenetically normal acute myeloid leukemia.
N Engl J Med. 2008 May 1;358(18):1909-18. doi: 10.1056/NEJMoa074306.
8
An FLT3 gene-expression signature predicts clinical outcome in normal karyotype AML.
Blood. 2008 May 1;111(9):4490-5. doi: 10.1182/blood-2007-09-115055. Epub 2008 Feb 28.
9
Toward quantitative fluorescence measurements with multicolor flow cytometry.
Cytometry A. 2008 Apr;73(4):279-88. doi: 10.1002/cyto.a.20507.

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