Optimization of monocyte gating to quantify monocyte subsets for the diagnosis of chronic myelomonocytic leukemia

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Rebeca Jurado, Maria Huguet, Blanca Xicoy, Marta Cabezon, Ari Jimenez-Ponce, David Quintela, Cristina De La Fuente, Minerva Raya, Esther Vinets, Jordi Junca, Joaquim Julià-Torras, Lurdes Zamora, Albert Oriol, Jose-Tomas Navarro, Xavier Calvo, Marc Sorigue
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引用次数: 1

Abstract

Background

The presence of >94% classical monocytes (MO1, CD14++/CD16-) in peripheral blood (PB) has an excellent performance for the diagnosis of chronic myelomonocytic leukemia (CMML). However, the monocyte gating strategy is not well defined. The objective of the study was to compare monocyte gating strategies and propose an optimal one.

Methods

This is a prospective, single center study assessing monocyte subsets in PB. First, we compared monocyte subsets using 13 monocyte gating strategies in 10 samples. Then we developed our own 10 color tube and tested it on 124 patients (normal white blood cell counts, reactive monocytosis, CMML and a spectrum of other myeloid malignancies). Both conventional and computational (FlowSOM) analyses were used.

Results

Comparing different monocyte gating strategies, small but significant differences in %MO1 and percentually large differences in %MO3 (nonclassical monocytes) were found, suggesting that the monocyte gating strategy can impact monocyte subset quantification. Then, we designed a 10-color tube for this purpose (CD45/CD33/CD14/CD16/CD64/CD86/CD300/CD2/CD66c/CD56) and applied it to 124 patients. This tube allowed proper monocyte gating even in highly abnormal PB. Computational analysis found a higher %MO1 and lower %MO3 compared to conventional analysis. However, differences between conventional and computational analysis in both MO1 and MO3 were globally consistent and only minimal differences were observed when comparing the ranking of patients according to %MO1 or %MO3 obtained with the conventional versus the computational approach.

Conclusions

The choice of monocyte gating strategy appears relevant for the monocyte subset distribution test. Our 10-color proposal allowed satisfactory monocyte gating even in highly abnormal PB. Computational analysis seems promising to increase reproducibility in monocyte subset quantification.

单核细胞门控优化,定量单核细胞亚群诊断慢性髓单细胞白血病
背景外周血(PB)中经典单核细胞(MO1、CD14++/CD16-)的检出率为94%,对慢性髓单细胞白血病(CMML)的诊断具有良好的价值。然而,单核细胞门控策略并没有很好地定义。本研究的目的是比较单核细胞门控策略并提出一种最佳策略。方法这是一项前瞻性、单中心研究,评估PB中单核细胞亚群。首先,我们比较了10个样本中使用13种单核细胞门控策略的单核细胞亚群。然后,我们开发了自己的10色管,并在124名患者(正常白细胞计数,反应性单核细胞增多症,CMML和其他髓系恶性肿瘤的光谱)上进行了测试。采用常规分析和计算分析(FlowSOM)。结果比较不同的单核细胞门控策略,发现%MO1和%MO3(非经典单核细胞)的百分比差异很小但显著,这表明单核细胞门控策略可以影响单核细胞亚群的定量。然后,我们为此设计了10色试管(CD45/CD33/CD14/CD16/CD64/CD86/CD300/CD2/CD66c/CD56),并应用于124例患者。即使在高度异常的PB中,该管也允许正常的单核细胞门控。计算分析发现,与常规分析相比,MO1 %较高,MO3 %较低。然而,在MO1和MO3方面,常规方法与计算方法的差异是一致的,在比较常规方法与计算方法获得的%MO1或%MO3对患者的排名时,只观察到很小的差异。结论单核细胞门控策略的选择可能与单核细胞亚群分布试验有关。我们的10色方案即使在高度异常的PB中也能使单核细胞门控满意。计算分析似乎有希望增加单核细胞亚群定量的可重复性。
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
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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