Evidence map›Paper›PMID 23470469›Full record

ArticleBritish journal of cancer2013

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

D J E Peeters, B De Laere, G G Van den Eynden, S J Van Laere, F Rothé, M Ignatiadis, A M Sieuwerts, D Lambrechts, A Rutten, P A van Dam and 4 more

Abstract read
In one paragraph

Article in British journal of cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

81 citing papers in PubMed.

  1. Trial
  2. Circulating tumor cells and response to chemotherapy in metastatic breast cancer: SWOG S0500.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2014
    Trial
  3. Review
  4. Article
  5. Review
  6. Review
  7. On-chip dielectrophoretic single-cell manipulation.Microsystems & nanoengineering · 2024
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Early Diagnosis and Screening for Lung Cancer.Cold Spring Harbor perspectives in medicine · 2021
    Review
  18. Review
  19. Review
  20. Article

21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

D J E PeetersTranslational Cancer Research Unit, Oncology Center GZA Hospitals Sint-Augustinus, Oosterveldlaan 24, Antwerp B-2610, Belgium.
B De Laere
G G Van den Eynden
S J Van Laere
F Rothé
M Ignatiadis
A M Sieuwerts
D Lambrechts
A Rutten
P A van Dam
P Pauwels
M Peeters
P B Vermeulen
L Y Dirix

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular 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.

methodsSamples 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.

resultsOn 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.

conclusionWe 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.

Indexed as

Gene Expression ProfilingBiomarkers, TumorBreast NeoplasmsCell SeparationFemaleHumansMutationNeoplastic Cells, CirculatingBiomarkers, Tumor

Identifiers

PMID23470469
PMCPMC3619252

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.