Kárai Bettina, Tisza Katalin, Eperjesi Orsolya, Nagy Attila Csaba, Ujfalusi Anikó, Kelemen Ágnes, Szegedi István, Kiss Csongor, Kappelmayer János, Hevessy Zsuzsanna
Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Faculty of Public Health, University of Debrecen, H-4002 Debrecen, Hungary.
Cancers (Basel). 2021 Oct 9;13(20):5044. doi: 10.3390/cancers13205044.
Multicolor flow cytometry (FC) evaluation has a key role in the diagnosis and prognostic stratification of ALL. Our aim was to create new analyzing protocols using multidimensional dot-plots. Seventy-two pediatric patients with ALL were included in this single-center study. Data of a normal BM sample and three BM samples of patients with BCP-ALL were merged, then all B cell populations of the four samples were presented in a single radar dot-plot, and those parameters and locations were selected in which the normal and pathological cell populations differed from each other the most. The integrated profile of immunophenotype resulted in a simple, rapid, and accurate method. There were no significant differences between the percentages of lymphoblasts in the detection of minimal residual disease (MRD) by multidimensional or conventional FC method ( = 0.903 at Day 15 and = 0.155 at Day 33). Furthermore, we found associations between the position and the number of clusters of blast cells in the radar plots and cytogenetic properties ( = 0.002 and < 0.0001 by the position and = 0.02 by the number of subclones). FC analysis based on multidimensional dot-plots is not only a rapid, easy-to-use method, but can also provide additional information to screen cases which require detailed genetic examination.
多色流式细胞术（FC）评估在急性淋巴细胞白血病（ALL）的诊断和预后分层中起着关键作用。我们的目的是使用多维点图创建新的分析方案。72例ALL儿科患者纳入了这项单中心研究。将一份正常骨髓样本和3份BCP-ALL患者的骨髓样本数据合并，然后将这4个样本的所有B细胞群体呈现在一个单一的雷达点图中，并选择正常和病理细胞群体差异最大的参数和位置。免疫表型的综合分析产生了一种简单、快速且准确的方法。在通过多维或传统FC方法检测微小残留病（MRD）时，原始细胞百分比之间无显著差异（第15天 = 0.903，第33天 = 0.155）。此外，我们发现雷达图中原始细胞簇的位置和数量与细胞遗传学特性之间存在关联（位置方面 = 0.002且 < 0.0001，亚克隆数量方面 = 0.02）。基于多维点图的FC分析不仅是一种快速、易于使用的方法，还可以为筛选需要详细基因检查的病例提供额外信息。
