Circulating tumor cell detection and single‐cell analysis using an integrated workflow based on ChimeraX®‐i120 Platform: A prospective study. Issue 9 (25th December 2020)
- Record Type:
- Journal Article
- Title:
- Circulating tumor cell detection and single‐cell analysis using an integrated workflow based on ChimeraX®‐i120 Platform: A prospective study. Issue 9 (25th December 2020)
- Main Title:
- Circulating tumor cell detection and single‐cell analysis using an integrated workflow based on ChimeraX®‐i120 Platform: A prospective study
- Authors:
- Wang, Peng‐Xiang
Sun, Yun‐Fan
Jin, Wei‐Xiang
Cheng, Jian‐Wen
Peng, Hai‐Xiang
Xu, Yang
Zhou, Kai‐Qian
Chen, Li‐Meng
Huang, Kai
Wu, Sui‐Yi
Hu, Bo
Zhang, Ze‐Fan
Guo, Wei
Cao, Ya
Zhou, Jian
Fan, Jia
Yang, Xin‐Rong - Abstract:
- Abstract : Circulating tumor cell (CTC) analysis holds great potential to be a noninvasive solution for clinical cancer management. A complete workflow that combined CTC detection and single‐cell molecular analysis is required. We developed the ChimeraX ® ‐i120 platform to facilitate negative enrichment, immunofluorescent labeling, and machine learning‐based identification of CTCs. Analytical performances were evaluated, and a total of 477 participants were enrolled to validate the clinical feasibility of ChimeraX ® ‐i120 CTC detection. We analyzed copy number alteration profiles of isolated single cells. The ChimeraX ® ‐i120 platform had high sensitivity, accuracy, and reproducibility for CTC detection. In clinical samples, an average value of > 60% CTC‐positive rate was found for five cancer types (i.e., liver, biliary duct, breast, colorectal, and lung), while CTCs were rarely identified in blood from healthy donors. In hepatocellular carcinoma patients treated with curative resection, CTC status was significantly associated with tumor characteristics, prognosis, and treatment response (all P < 0.05). Single‐cell sequencing analysis revealed that heterogeneous genomic alteration patterns resided in different cells, patients, and cancers. Our results suggest that the use of this ChimeraX ® ‐i120 platform and the integrated workflow has validity as a tool for CTC detection and downstream genomic profiling in the clinical setting. Abstract : We developed an integratedAbstract : Circulating tumor cell (CTC) analysis holds great potential to be a noninvasive solution for clinical cancer management. A complete workflow that combined CTC detection and single‐cell molecular analysis is required. We developed the ChimeraX ® ‐i120 platform to facilitate negative enrichment, immunofluorescent labeling, and machine learning‐based identification of CTCs. Analytical performances were evaluated, and a total of 477 participants were enrolled to validate the clinical feasibility of ChimeraX ® ‐i120 CTC detection. We analyzed copy number alteration profiles of isolated single cells. The ChimeraX ® ‐i120 platform had high sensitivity, accuracy, and reproducibility for CTC detection. In clinical samples, an average value of > 60% CTC‐positive rate was found for five cancer types (i.e., liver, biliary duct, breast, colorectal, and lung), while CTCs were rarely identified in blood from healthy donors. In hepatocellular carcinoma patients treated with curative resection, CTC status was significantly associated with tumor characteristics, prognosis, and treatment response (all P < 0.05). Single‐cell sequencing analysis revealed that heterogeneous genomic alteration patterns resided in different cells, patients, and cancers. Our results suggest that the use of this ChimeraX ® ‐i120 platform and the integrated workflow has validity as a tool for CTC detection and downstream genomic profiling in the clinical setting. Abstract : We developed an integrated workflow for circulating tumor cell (CTC) detection and downstream single‐cell analysis based on a novel ChimeraX ® ‐i120 platform. The platform facilitates negative enrichment, immunofluorescent labeling, and machine learning‐based identification of CTCs. The CTC captured by the platform is also compatible for single‐cell molecular analysis. In this study, potential utility of our workflow was validated in clinical setting. … (more)
- Is Part Of:
- Molecular oncology. Volume 15:Issue 9(2021)
- Journal:
- Molecular oncology
- Issue:
- Volume 15:Issue 9(2021)
- Issue Display:
- Volume 15, Issue 9 (2021)
- Year:
- 2021
- Volume:
- 15
- Issue:
- 9
- Issue Sort Value:
- 2021-0015-0009-0000
- Page Start:
- 2345
- Page End:
- 2362
- Publication Date:
- 2020-12-25
- Subjects:
- circulating tumor cell -- enumeration -- integrated platform -- liquid biopsy -- machine learning‐based image recognition -- single‐cell sequencing
Cancer -- Molecular aspects -- Periodicals
616.994005 - Journal URLs:
- http://www.journals.elsevier.com/molecular-oncology/ ↗
http://febs.onlinelibrary.wiley.com/hub/journal/10.1002/(ISSN)1878-0261/issues/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1002/1878-0261.12876 ↗
- Languages:
- English
- ISSNs:
- 1574-7891
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5900.817993
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23847.xml