Proficiency Testing to Assess Technical Performance for CTC-Processing and Detection Methods in CANCER-ID

Author:

Neves Rui P L1,Ammerlaan Wim2,Andree Kiki C3,Bender Sebastian4,Cayrefourcq Laure5,Driemel Christiane1,Koch Claudia6,Luetke-Eversloh Merlin Verena4,Oulhen Marianne7,Rossi Elisabetta89,Alix-Panabières Catherine5,Betsou Fay2,Farace Françoise7,Riethdorf Sabine6,Schlange Thomas4,Wikman Harriet6,Zamarchi Rita9,Pantel Klaus6,Terstappen Leon W M M3,Stoecklein Nikolas H1,

Affiliation:

1. Department of General, Visceral and Paediatric Surgery, University Hospital and Medical Faculty of the Heinrich-Heine University Düsseldorf, Düsseldorf, Germany

2. Integrated BioBank of Luxembourg, Dudelange, Luxembourg

3. Department of Medical Cell BioPhysics, University of Twente, Enschede, The Netherlands

4. Bayer AG, Biomarker Research, Wuppertal, Germany

5. Laboratory of Rare Human Circulating Cells, University Medical Centre of Montpellier, Montpellier, France

6. Institute of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

7. Gustave Roussy, Université Paris-Saclay, “Circulating Tumor Cells” Translational Platform, CNRS UMS3655—INSERM US23 AMMICA, Villejuif, France

8. Department of Surgery, Oncology and Gastroenterology, University of Padova, Padua, Italy

9. Veneto Institute of Oncology IOV-IRCCS, Padua, Italy

Abstract

Abstract Background Multiple technologies are available for detection of circulating tumor cells (CTCs), but standards to evaluate their technical performance are still lacking. This limits the applicability of CTC analysis in clinic routine. Therefore, in the context of the CANCER-ID consortium, we established a platform to assess technical validity of CTC detection methods in a European multi-center setting using non-small cell lung cancer (NSCLC) as a model. Methods We characterized multiple NSCLC cell lines to define cellular models distinct in their phenotype and molecular characteristics. Standardized tumor-cell-bearing blood samples were prepared at a central laboratory and sent to multiple European laboratories for processing according to standard operating procedures. The data were submitted via an online tool and centrally evaluated. Five CTC-enrichment technologies were tested. Results We could identify 2 cytokeratin expressing cell lines with distinct levels of EpCAM expression: NCI-H441 (EpCAMhigh, CKpos) and NCI-H1563 (EpCAMlow, CKpos). Both spiked tumor cell lines were detected by all technologies except for the CellSearch system that failed to enrich EpCAMlow NCI-H1563 cells. Mean recovery rates ranged between 49% and 75% for NCI-H411 and 32% and 76% for NCI-H1563 and significant differences were observed between the tested methods. Conclusions This multi-national proficiency testing of CTC-enrichment technologies has importance in the establishment of guidelines for clinically applicable (pre)analytical workflows and the definition of minimal performance qualification requirements prior to clinical validation of technologies. It will remain in operation beyond the funding period of CANCER-ID in the context of the European Liquid Biopsy Society (ELBS).

Funder

Innovative Medicines Initiative consortium

Innovative Medicines Initiative

European Union’s Seventh Framework Program

The European Union’s Horizon 2020 research and innovation program

Publisher

Oxford University Press (OUP)

Subject

Biochemistry, medical,Clinical Biochemistry

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3