Evidence map›Paper›PMID 28940814›Full record

ArticleCancer medicine2017

Preanalytical blood sample workup for cell-free DNA analysis using Droplet Digital PCR for future molecular cancer diagnostics.

Joost H van Ginkel, Daan A van den Broek, Joyce van Kuik, Dorothé Linders, Roel de Weger, Stefan M Willems, Manon M H Huibers

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 pooled it
3.9field-weighted citation impact, top 5% of its field
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

50 citing papers in PubMed, 4 syntheses or guidelines pooled it, 90 citations in OpenAlex.

  1. Guideline
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Article
  6. Adapting Clinical Chemistry Plasma as a Source for Liquid Biopsies.medRxiv : the preprint server for health sciences · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Clinical Utility of ctDNA Analysis in Lung Cancer-A Review.Advances in respiratory medicine · 2025
    Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Circulating tumor DNA in Hodgkin lymphoma.Annals of hematology · 2022
    Review
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

7 authors at 2 institutions in 1 country.

Joost H van GinkelDepartment of Pathology, University Medical Center Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-3988-6991
Daan A van den BroekDepartment of Clinical Chemistry, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Joyce van KuikDepartment of Pathology, University Medical Center Utrecht, The Netherlands.
Dorothé LindersDepartment of Clinical Chemistry, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Roel de WegerDepartment of Pathology, University Medical Center Utrecht, The Netherlands.
Stefan M WillemsDepartment of Pathology, University Medical Center Utrecht, The Netherlands.
Manon M H HuibersDepartment of Pathology, University Medical Center Utrecht, The Netherlands.ORCID http://orcid.org/0000-0001-6084-8204
University Medical Center Utrecht · NLDutch Cancer Society · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In current molecular cancer diagnostics, using blood samples of cancer patients for the detection of genetic alterations in plasma (cell-free) circulating tumor DNA (ctDNA) is an emerging practice. Since ctDNA levels in blood are low, highly sensitive Droplet Digital PCR (ddPCR) can be used for detecting rare mutational targets. In order to perform ddPCR on blood samples, a standardized procedure for processing and analyzing blood samples is necessary to facilitate implementation into clinical practice. Therefore, we assessed the technical sample workup procedure for ddPCR on blood plasma samples. Blood samples from healthy individuals, as well as lung cancer patients were analyzed. We compared different methods and protocols for sample collection, storage, centrifugation, isolation, and quantification. Cell-free DNA (cfDNA) concentrations of several wild-type targets and BRAF and EGFR-mutant ctDNA concentrations quantified by ddPCR were primary outcome measurements. Highest cfDNA concentrations were measured in blood collected in serum tubes. No significant differences in cfDNA concentrations were detected between various time points of up to 24 h until centrifugation. Highest cfDNA concentrations were detected after DNA isolation with the Quick cfDNA Serum & Plasma Kit, while plasma isolation using the QIAamp Circulating Nucleic Acid Kit yielded the most consistent results. DdPCR results on cfDNA are highly dependent on multiple factors during preanalytical sample workup, which need to be addressed during the development of this diagnostic tool for cancer diagnostics in the future.

Indexed as

Biomarkers, TumorCirculating Tumor DNAPolymerase Chain ReactionCase-Control StudiesFemaleHumansLiquid BiopsyLung NeoplasmsMaleMolecular Diagnostic TechniquesMutationNeoplasmsWorkflowBiomarkers, TumorCirculating Tumor DNACell-free DNAdroplet digital PCRmolecular cancer diagnosticspreanalytical workup

Identifiers

PMID28940814
PMCPMC5633557
OpenAlexW2760791435

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.