Application of mass cytometry to characterize hematopoietic stem cells in apheresis products of patients with hematological malignancies.

Carlos Agustin Villegas-Valverde, Antonio Alfonso Bencomo-Hernandez, Yandy M Castillo-Aleman, Yendry Ventura-Carmenate, Imilla Casado-Hernandez, Rene Antonio Rivero-Jimenez
{"title":"Application of mass cytometry to characterize hematopoietic stem cells in apheresis products of patients with hematological malignancies.","authors":"Carlos Agustin Villegas-Valverde, Antonio Alfonso Bencomo-Hernandez, Yandy M Castillo-Aleman, Yendry Ventura-Carmenate, Imilla Casado-Hernandez, Rene Antonio Rivero-Jimenez","doi":"10.1016/j.htct.2023.10.008","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Hematopoietic stem cell transplantation (HSCT) is a widely used therapy, but its success largely depends on the number and quality of stem cells collected. Current evidence shows the complexity of the hematopoietic system, which implies that, in the quality assurance of the apheresis product, the hematopoietic stem cells are adequately characterized and quantified, in which mass cytometry (MC) can provide its advantages in high-dimensional analysis.</p><p><strong>Objective: </strong>This research aimed to characterize and enumerate CD45<sup>dim</sup>/CD34<sup>+</sup> stem cells using the MC in apheresis product yields from patients with chronic lymphoid malignant diseases undergoing autologous transplantation at the Abu Dhabi Stem Cells Center.</p><p><strong>Methods: </strong>An analytical and cross-sectional study was performed on 31 apheresis products from 15 patients diagnosed with multiple myeloma (n = 9) and non-Hodgkin lymphomas (n = 6) eligible for HSCT. The MC was employed using the MaxPar Kit for stem cell immunophenotyping. The analysis was performed manually in the Kaluza and unsupervised by machine learning in Cytobank Premium.</p><p><strong>Results: </strong>An excellent agreement was found between mass and flow cytometry for the relative and absolute counts of CD45<sup>dim</sup>/CD34<sup>+</sup> cells (Bland-Altman bias: -0.029 and -64, respectively), seven subpopulations were phenotyped and no lineage bias was detected for any of the methods used in the pool of collected cells. A CD34+/CD38+/CD138+ population was seen in the analyses performed on four patients with multiple myeloma.</p><p><strong>Conclusions: </strong>The MC helps to characterize subpopulations of stem cells in apheresis products. It also allows cell quantification by double platform. Unsupervised analysis allows results completion and validation of the manual strategy. The proposed methodology can be extended to apheresis products for purposes other than HSCT.</p>","PeriodicalId":94026,"journal":{"name":"Hematology, transfusion and cell therapy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hematology, transfusion and cell therapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.htct.2023.10.008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Hematopoietic stem cell transplantation (HSCT) is a widely used therapy, but its success largely depends on the number and quality of stem cells collected. Current evidence shows the complexity of the hematopoietic system, which implies that, in the quality assurance of the apheresis product, the hematopoietic stem cells are adequately characterized and quantified, in which mass cytometry (MC) can provide its advantages in high-dimensional analysis.

Objective: This research aimed to characterize and enumerate CD45dim/CD34+ stem cells using the MC in apheresis product yields from patients with chronic lymphoid malignant diseases undergoing autologous transplantation at the Abu Dhabi Stem Cells Center.

Methods: An analytical and cross-sectional study was performed on 31 apheresis products from 15 patients diagnosed with multiple myeloma (n = 9) and non-Hodgkin lymphomas (n = 6) eligible for HSCT. The MC was employed using the MaxPar Kit for stem cell immunophenotyping. The analysis was performed manually in the Kaluza and unsupervised by machine learning in Cytobank Premium.

Results: An excellent agreement was found between mass and flow cytometry for the relative and absolute counts of CD45dim/CD34+ cells (Bland-Altman bias: -0.029 and -64, respectively), seven subpopulations were phenotyped and no lineage bias was detected for any of the methods used in the pool of collected cells. A CD34+/CD38+/CD138+ population was seen in the analyses performed on four patients with multiple myeloma.

Conclusions: The MC helps to characterize subpopulations of stem cells in apheresis products. It also allows cell quantification by double platform. Unsupervised analysis allows results completion and validation of the manual strategy. The proposed methodology can be extended to apheresis products for purposes other than HSCT.

应用质谱细胞计数法确定血液恶性肿瘤患者无细胞采集产品中造血干细胞的特征。
简介造血干细胞移植(HSCT)是一种广泛使用的疗法,但其成功与否在很大程度上取决于采集干细胞的数量和质量。目前的证据表明,造血系统十分复杂,这意味着在保证无细胞采集产品的质量时,必须对造血干细胞进行充分的表征和量化,而质控细胞仪(MC)在高维分析方面具有优势:本研究旨在利用质谱仪对阿布扎比干细胞中心接受自体移植的慢性淋巴恶性疾病患者的血液制品中的 CD45dim/CD34+ 干细胞进行定性和计数:对15名被诊断为符合造血干细胞移植条件的多发性骨髓瘤(9人)和非霍奇金淋巴瘤(6人)患者的31份无细胞血浆进行了分析和横断面研究。MC使用MaxPar试剂盒进行干细胞免疫分型。分析在 Kaluza 中手动进行,并在 Cytobank Premium 中通过机器学习进行无监督分析:结果:在CD45dim/CD34+细胞的相对计数和绝对计数方面,质谱和流式细胞术的结果非常一致(Bland-Altman偏差分别为-0.029和-64)。在对四名多发性骨髓瘤患者进行的分析中发现了CD34+/CD38+/CD138+群体:MC有助于确定无细胞采集产品中干细胞亚群的特征。结论:MC 有助于确定无细胞采集产品中干细胞亚群的特征,还能通过双平台进行细胞定量。无监督分析允许完成结果并验证手动策略。建议的方法可扩展到造血干细胞移植以外的其他目的的血液净化产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信