Standardization of Suspension and Imaging Mass Cytometry Single-Cell Readouts for Clinical Decision Making.

IF 2.5 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Ruben Casanova, Shuhan Xu, Pierre Bost, Sujana Sivapatham, Andrea Jacobs, Stefanie Engler, Mitchell P Levesque, Reinhard Dummer, Bernd Bodenmiller, Stéphane Chevrier
{"title":"Standardization of Suspension and Imaging Mass Cytometry Single-Cell Readouts for Clinical Decision Making.","authors":"Ruben Casanova, Shuhan Xu, Pierre Bost, Sujana Sivapatham, Andrea Jacobs, Stefanie Engler, Mitchell P Levesque, Reinhard Dummer, Bernd Bodenmiller, Stéphane Chevrier","doi":"10.1002/cyto.a.24940","DOIUrl":null,"url":null,"abstract":"<p><p>Suspension and imaging mass cytometry are single-cell, proteomic-based methods used to characterize tissue composition and structure. Data assessing the consistency of these methods over an extended period of time are still sparse and are needed if mass cytometry-based methods are to be used clinically. Here, we present experimental and computational pipelines developed within the Tumor Profiler clinical study, an observational clinical trial assessing the relevance of cutting-edge technologies in guiding treatment decisions for advanced cancer patients. By using aliquots of frozen antibody panels, batch effects between independent experiments performed within a time frame of 1 year were minimized. The inclusion of well-characterized reference samples allowed us to assess and correct for batch effects. A systematic evaluation of a test tumor sample analyzed in each run showed that our batch correction approach consistently reduced signal variations. We provide an exemplary analysis of a representative patient sample including an overview of data provided to clinicians and potential treatment suggestions. This study demonstrates that standardized suspension and imaging mass cytometry measurements generate robust data that meet clinical requirements for reproducibility and provide oncologists with valuable insights on the biology of patient tumors.</p>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cytometry Part A","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/cyto.a.24940","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Suspension and imaging mass cytometry are single-cell, proteomic-based methods used to characterize tissue composition and structure. Data assessing the consistency of these methods over an extended period of time are still sparse and are needed if mass cytometry-based methods are to be used clinically. Here, we present experimental and computational pipelines developed within the Tumor Profiler clinical study, an observational clinical trial assessing the relevance of cutting-edge technologies in guiding treatment decisions for advanced cancer patients. By using aliquots of frozen antibody panels, batch effects between independent experiments performed within a time frame of 1 year were minimized. The inclusion of well-characterized reference samples allowed us to assess and correct for batch effects. A systematic evaluation of a test tumor sample analyzed in each run showed that our batch correction approach consistently reduced signal variations. We provide an exemplary analysis of a representative patient sample including an overview of data provided to clinicians and potential treatment suggestions. This study demonstrates that standardized suspension and imaging mass cytometry measurements generate robust data that meet clinical requirements for reproducibility and provide oncologists with valuable insights on the biology of patient tumors.

用于临床决策的悬浮和成像细胞计数单细胞读数的标准化。
悬浮和成像细胞术是单细胞、基于蛋白质组学的方法,用于表征组织组成和结构。评估这些方法在较长时间内的一致性的数据仍然很少,如果要在临床上使用基于细胞计数的方法,则需要这些数据。在此,我们展示了在Tumor Profiler临床研究中开发的实验和计算管道,这是一项观察性临床试验,评估尖端技术在指导晚期癌症患者治疗决策中的相关性。通过使用等分的冷冻抗体板,在1年的时间框架内进行的独立实验之间的批量效应被最小化。纳入表征良好的参考样品使我们能够评估和纠正批次效应。对每次运行中分析的测试肿瘤样本的系统评估表明,我们的批量校正方法始终如一地减少了信号变化。我们提供了一个具有代表性的患者样本的典型分析,包括提供给临床医生和潜在治疗建议的数据概述。这项研究表明,标准化的悬浮和成像细胞术测量产生了可靠的数据,满足了临床对可重复性的要求,并为肿瘤学家提供了有关患者肿瘤生物学的宝贵见解。
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
Cytometry Part A
Cytometry Part A 生物-生化研究方法
CiteScore
8.10
自引率
13.50%
发文量
183
审稿时长
4-8 weeks
期刊介绍: Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques. The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.
×
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