Independent confirmation of the immunophenotypic ELN Scoring System in patients with MDS and CMML

IF 14.6 2区 医学 Q1 HEMATOLOGY
HemaSphere Pub Date : 2025-10-07 DOI:10.1002/hem3.70235
Uta Oelschlaegel, Jonas Schadt, Katharina Epp, Lisa Wagenführ, Leo Ruhnke, Frank Kroschinsky, Martin Bornhäuser, Katja Sockel, Malte von Bonin, Maximilian Alexander Röhnert
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Veenstra et al. could diagnose MDS with a sensitivity of 90% compared to an integrated diagnostic approach, which was also maintained within low-risk MDS (&lt;5% bone marrow blasts) at 87%. This is comparable to the established comprehensive <i>Integrated Flow Score (iFS)</i><span><sup>3</sup></span> (all MDS: 91%) and represents a significant improvement compared to the 4-parameter <i>Ogata-score</i><span><sup>4</sup></span> (all MDS: 66%). In pathological controls (i.e., non-clonal cytopenias), concordance of ELN Scoring System was achieved in 76% (41/54) of patients. Some aberrancies were restricted to MDS patients but absent in pathological controls (aberrant expression of CD5, CD7, or CD56 on MPC and abnormal expression of CD33 on neutrophils). Exclusion of four markers predominantly associated with CMML (low side scatter and aberrant CD33 expression on neutrophils, aberrant percentage and CD13 expression of monocytes) (Kern et al.<span><sup>2</sup></span>) increased specificity to 96%.</p><p>We aimed to confirm the applicability and therefore the significance of the ELN Scoring System in routine diagnostics. To do this, we analyzed a large, independent cohort of MDS (359 patients) and pathological controls (41 patients with non-clonal cytopenias, for details see legend of Figure 1). In addition to the study by Veenstra et al., samples of 38 CMML patients and 32 healthy bone marrow (HBM, hip surgery patients) were included. The antibody panel, staining, acquisition, and data analysis have been previously delineated.<span><sup>5</sup></span></p><p>Applying the ELN Scoring System to our MDS cohort, the diagnosis was confirmed in 89% of all MDS cases (Figure 1A). 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For example, the proportion of patients with iron deficiency in whom the presence of dyspoietic changes has been described,<span><sup>6, 7</sup></span> was significantly lower in our study compared to Veenstra et al. (15% vs. 37%). Furthermore, each group uses laboratory-specific reference values. For example, the cutoff for CD71 (coefficient of variation in %) in erythroid cells is very different in the two studies (84% vs. 62% in the Veenstra study), which might impact the specificity of the score.</p><p>Considering the individual aberrancies (Figure 1C), we can verify the high prevalence of abnormal CD117 on MPC as well as the abnormal CD13/CD16 expression on neutrophils. 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引用次数: 0

Abstract

We read with great interest the study by Veenstra et al.1 validating the 17 immunophenotypic core marker panel (ELN Scoring System), defined by the ELN-iMDS-Flow Working Group (ELN-iMDS).2 It includes aberrancies in myeloid progenitor cells (MPCs), neutrophils, monocytes, and nucleated erythroid cells. The presence of at least three aberrancies was indicative of either myelodysplastic neoplasm (MDS) or chronic myelomonocytic leukemia (CMML). Veenstra et al. could diagnose MDS with a sensitivity of 90% compared to an integrated diagnostic approach, which was also maintained within low-risk MDS (<5% bone marrow blasts) at 87%. This is comparable to the established comprehensive Integrated Flow Score (iFS)3 (all MDS: 91%) and represents a significant improvement compared to the 4-parameter Ogata-score4 (all MDS: 66%). In pathological controls (i.e., non-clonal cytopenias), concordance of ELN Scoring System was achieved in 76% (41/54) of patients. Some aberrancies were restricted to MDS patients but absent in pathological controls (aberrant expression of CD5, CD7, or CD56 on MPC and abnormal expression of CD33 on neutrophils). Exclusion of four markers predominantly associated with CMML (low side scatter and aberrant CD33 expression on neutrophils, aberrant percentage and CD13 expression of monocytes) (Kern et al.2) increased specificity to 96%.

We aimed to confirm the applicability and therefore the significance of the ELN Scoring System in routine diagnostics. To do this, we analyzed a large, independent cohort of MDS (359 patients) and pathological controls (41 patients with non-clonal cytopenias, for details see legend of Figure 1). In addition to the study by Veenstra et al., samples of 38 CMML patients and 32 healthy bone marrow (HBM, hip surgery patients) were included. The antibody panel, staining, acquisition, and data analysis have been previously delineated.5

Applying the ELN Scoring System to our MDS cohort, the diagnosis was confirmed in 89% of all MDS cases (Figure 1A). High sensitivity was also maintained in the low-risk MDS group (<5% blasts: 84%; low-to-moderate low IPSS-M: 86%). These results were in line with those reported by Veenstra et al. Regarding false negative cases (38/359), 42% of these would have been assigned to MDS by alternative scoring systems (Ogata-score: 8%, iFS: 21%, both simultaneously: 13%). Almost all CMML samples (97%) had an ELN Score compatible with MDS/CMML, in line with the ELN-iMDS study by Kern et al.2 We also confirmed the four parameters described above as significantly associated with CMML.

As determined in pathological controls, the specificity of the ELN Scoring System was notably higher in our cohort than in the Veenstra and Kern studies (98%, 75%, and 78%, respectively). However, this high specificity was confirmed in HBM (97%) (Figure 1B). A possible explanation for the higher specificity in our study might be the different composition of the pathological control cohort. For example, the proportion of patients with iron deficiency in whom the presence of dyspoietic changes has been described,6, 7 was significantly lower in our study compared to Veenstra et al. (15% vs. 37%). Furthermore, each group uses laboratory-specific reference values. For example, the cutoff for CD71 (coefficient of variation in %) in erythroid cells is very different in the two studies (84% vs. 62% in the Veenstra study), which might impact the specificity of the score.

Considering the individual aberrancies (Figure 1C), we can verify the high prevalence of abnormal CD117 on MPC as well as the abnormal CD13/CD16 expression on neutrophils. Furthermore, we can confirm the high specificity of an abnormal percentage of MPC and neutrophils, cross-lineage expression of CD5, CD7, or CD56 on MPC, and an abnormal CD33 expression on neutrophils.

In summary, the sensitivity of the ELN Scoring System validated in the Veenstra study1 is reproducible in our independent cohort with an even higher specificity in the present study. It also performs well in CMML patients (see Figure 1A). Using a combination of the ELN Scoring System and the Ogata-score could reduce false negative results. Notably, the Ogata-score can be assessed without additional measurements. Overall, the ELN Scoring System may represent a step toward the development of a robust and widely applicable flow cytometric approach as a part of integrated MDS diagnostics.8

Uta Oelschlaegel: Conceptualization; investigation; writing—original draft. Jonas Schadt: Investigation; writing—review and editing. Katharina Epp: Investigation; writing—review and editing. Lisa Wagenführ: Investigation; writing—review and editing. Leo Ruhnke: Investigation; writing—review and editing. Frank Kroschinsky: Writing—review and editing; supervision. Martin Bornhäuser: Writing—review and editing; supervision. Katja Sockel: Investigation; writing—review and editing. Malte von Bonin: Investigation; writing—review and editing; supervision. Maximilian Alexander Röhnert: Conceptualization; investigation; writing—review and editing.

The authors declare no conflicts of interest.

This research received no funding.

Abstract Image

MDS和CMML患者免疫表型ELN评分系统的独立证实。
我们饶有兴趣地阅读了Veenstra等人的研究1,该研究验证了由ELN- imds - flow工作组(ELN- imds)定义的17个免疫表型核心标记面板(ELN评分系统)它包括髓系祖细胞(MPCs)、中性粒细胞、单核细胞和有核红细胞的异常。至少三个异常的存在表明骨髓增生异常肿瘤(MDS)或慢性髓单细胞白血病(CMML)。与综合诊断方法相比,Veenstra等人诊断MDS的灵敏度为90%,而在低风险MDS(5%骨髓母细胞)中,其灵敏度也维持在87%。这与建立的综合综合流评分(iFS)3(所有MDS: 91%)相当,与4参数Ogata-score4(所有MDS: 66%)相比,这是一个显著的改善。在病理对照(即非克隆性细胞减少)中,76%(41/54)的患者达到ELN评分系统的一致性。一些异常仅限于MDS患者,而在病理对照中不存在(MPC上CD5、CD7或CD56的异常表达和中性粒细胞上CD33的异常表达)。排除四种主要与CMML相关的标志物(中性粒细胞的低侧散射和CD33异常表达,单核细胞的异常百分比和CD13表达)(Kern等人2)将特异性提高到96%。我们旨在确认ELN评分系统在常规诊断中的适用性和重要性。为此,我们分析了一个大型的、独立的MDS队列(359例患者)和病理对照(41例非克隆性细胞减少患者,详细信息见图1的图例)。除了Veenstra等人的研究外,还纳入了38例CMML患者和32例健康骨髓(HBM,髋关节手术患者)的样本。抗体面板、染色、采集和数据分析已经在之前描述过。5将ELN评分系统应用于我们的MDS队列,89%的MDS病例确诊(图1A)。低风险MDS组也保持了高敏感性(5%爆炸:84%;低至中等低IPSS-M: 86%)。这些结果与Veenstra等人报道的结果一致。对于假阴性病例(38/359),其中42%的病例可通过其他评分系统(ogata评分:8%,iFS评分:21%,两者同时评分:13%)分配给MDS。几乎所有的CMML样本(97%)都有与MDS/CMML兼容的ELN评分,这与Kern等人的ELN- imds研究一致。2我们也证实了上述四个参数与CMML显著相关。在病理对照中,我们的队列中ELN评分系统的特异性明显高于Veenstra和Kern研究(分别为98%、75%和78%)。然而,这种高特异性在HBM中得到了证实(97%)(图1B)。我们研究中较高特异性的一个可能解释可能是病理对照队列的不同组成。例如,在我们的研究中,与Veenstra等人相比,出现发育不良改变的缺铁患者的比例明显较低(15%对37%)。此外,每个组使用实验室特定的参考值。例如,在两项研究中,红细胞CD71的截止值(百分比变异系数)非常不同(Veenstra研究中为84%对62%),这可能会影响评分的特异性。考虑到个体的异常(图1C),我们可以验证MPC上CD117异常的高患病率以及中性粒细胞上CD13/CD16的异常表达。此外,我们可以证实MPC和中性粒细胞的异常百分比,MPC上CD5、CD7或CD56的跨系表达以及中性粒细胞上CD33的异常表达的高特异性。总之,在Veenstra研究中验证的ELN评分系统的敏感性在我们的独立队列中是可重复的,在本研究中具有更高的特异性。它在CMML患者中也表现良好(见图1A)。结合使用ELN评分系统和ogata评分可以减少假阴性结果。值得注意的是,ogata评分可以在没有额外测量的情况下进行评估。总的来说,ELN评分系统可能代表着一种强大的、广泛适用的流式细胞术方法的发展,作为MDS综合诊断的一部分。uta Oelschlaegel:概念化;调查;原创作品。Jonas Schadt:调查;写作-审查和编辑。凯瑟琳娜·埃普:调查;写作-审查和编辑。Lisa wagenf<e:1>:调查;写作-审查和编辑。Leo Ruhnke:调查;写作-审查和编辑。弗兰克·克罗辛斯基:写作、评论和编辑;监督。Martin Bornhäuser:写作-审查和编辑;监督。Katja Sockel:调查;写作-审查和编辑。Malte von Bonin:调查;写作——审阅和编辑;监督。 Maximilian Alexander Röhnert:概念化;调查;写作-审查和编辑。作者声明无利益冲突。这项研究没有得到资助。
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
HemaSphere
HemaSphere Medicine-Hematology
CiteScore
6.10
自引率
4.50%
发文量
2776
审稿时长
7 weeks
期刊介绍: HemaSphere, as a publication, is dedicated to disseminating the outcomes of profoundly pertinent basic, translational, and clinical research endeavors within the field of hematology. The journal actively seeks robust studies that unveil novel discoveries with significant ramifications for hematology. In addition to original research, HemaSphere features review articles and guideline articles that furnish lucid synopses and discussions of emerging developments, along with recommendations for patient care. Positioned as the foremost resource in hematology, HemaSphere augments its offerings with specialized sections like HemaTopics and HemaPolicy. These segments engender insightful dialogues covering a spectrum of hematology-related topics, including digestible summaries of pivotal articles, updates on new therapies, deliberations on European policy matters, and other noteworthy news items within the field. Steering the course of HemaSphere are Editor in Chief Jan Cools and Deputy Editor in Chief Claire Harrison, alongside the guidance of an esteemed Editorial Board comprising international luminaries in both research and clinical realms, each representing diverse areas of hematologic expertise.
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