Semiautomated isolation and molecular characterisation of single or highly purified tumour cells from CellSearch enriched blood samples using dielectrophoretic cell sorting

  • DJE Peeters
  • , B Laere
  • , GG Van den Eynden
  • , SJ Van Laere
  • , F Rothe
  • , M Ignatiadis
  • , Anieta Sieuwerts
  • , D Lambrechts
  • , A Rutten
  • , PA van Dam
  • , P Pauwels
  • , MCE Peeters
  • , PB Vermeulen
  • , LY Dirix

Research output: Contribution to journalArticleAcademicpeer-review

145 Citations (Scopus)
18 Downloads (Pure)

Abstract

Background: Molecular characterisation of single circulating tumour cells (CTCs) holds considerable promise for predictive biomarker assessment and to explore CTC heterogeneity. We evaluate a new method, the DEPArray system, that allows the dielectrophoretic manipulation and isolation of single and 100% purified groups of CTCs from pre-enriched blood samples and explore the feasibility of their molecular characterisation. Methods: Samples containing known numbers of two cell populations were used to assess cell loss during sample loading. Cultured breast cancer cells were isolated from spiked blood samples using CellSearch CTC and Profile kits. Single tumour cells and groups of up to 10 tumour cells were recovered with the DEPArray system and subjected to transcriptional and mutation analysis. Results: On average, 40% cell loss was observed when loading samples to the DEPArray system. Expected mutations in clinically relevant markers could be obtained for 60% of single recovered tumour cells and all groups of tumour cells. Reliable gene expression profiles were obtained from single cells and groups of up to 10 cells for 2 out of 3 spiked breast cancer cell lines. Conclusion: We describe a semiautomated workflow for the isolation of small groups of 1 to 10 tumour cells from whole blood samples and provide proof of principle for the feasibility of their comprehensive molecular characterisation.
Original languageEnglish
Pages (from-to)1358-1367
Number of pages10
JournalBritish Journal of Cancer
Volume108
Issue number6
DOIs
Publication statusPublished - 2013

Research programs

  • RSM MKT
  • EMC MM-03-86-01

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