Evidence map›Paper›PMID 25209392›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2014

Performance of amplicon-based next generation DNA sequencing for diagnostic gene mutation profiling in oncopathology.

Daoud Sie, Peter J F Snijders, Gerrit A Meijer, Marije W Doeleman, Marinda I H van Moorsel, Hendrik F van Essen, Paul P Eijk, Katrien Grünberg, Nicole C T van Grieken, Erik Thunnissen and 4 more

Abstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guidelines for cytogenetic investigations in tumours.European journal of human genetics : EJHG · 2016
    Guideline
  2. Review
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  7. Review
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  11. HPV E4 expression and DNA hypermethylation of CADM1, MAL, and miR124-2 genes in cervical cancer and precursor lesions.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2018
    Article
  12. Review
  13. Article
  14. Article
  15. DNA degrades during storage in formalin-fixed and paraffin-embedded tissue blocks.Virchows Archiv : an international journal of pathology · 2017
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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.

Daoud SieDepartments of Pathology, VU University Medical Center, PO Box 7057, 1007, MB, Amsterdam, The Netherlands.
Peter J F Snijders
Gerrit A Meijer
Marije W Doeleman
Marinda I H van Moorsel
Hendrik F van Essen
Paul P Eijk
Katrien Grünberg
Nicole C T van Grieken
Erik Thunnissen
Henk M Verheul
Egbert F Smit
Bauke Ylstra
Daniëlle A M Heideman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNext generation DNA sequencing (NGS) holds promise for diagnostic applications, yet implementation in routine molecular pathology practice requires performance evaluation on DNA derived from routine formalin-fixed paraffin-embedded (FFPE) tissue specimens. The current study presents a comprehensive analysis of TruSeq Amplicon Cancer Panel-based NGS using a MiSeq Personal sequencer (TSACP-MiSeq-NGS) for somatic mutation profiling.

methodsTSACP-MiSeq-NGS (testing 212 hotspot mutation amplicons of 48 genes) and a data analysis pipeline were evaluated in a retrospective learning/test set approach (n = 58/n = 45 FFPE-tumor DNA samples) against 'gold standard' high-resolution-melting (HRM)-sequencing for the genes KRAS, EGFR, BRAF and PIK3CA. Next, the performance of the validated test algorithm was assessed in an independent, prospective cohort of FFPE-tumor DNA samples (n = 75).

resultsIn the learning set, a number of minimum parameter settings was defined to decide whether a FFPE-DNA sample is qualified for TSACP-MiSeq-NGS and for calling mutations. The resulting test algorithm revealed 82% (37/45) compliance to the quality criteria and 95% (35/37) concordant assay findings for KRAS, EGFR, BRAF and PIK3CA with HRM-sequencing (kappa = 0.92; 95% CI = 0.81-1.03) in the test set. Subsequent application of the validated test algorithm to the prospective cohort yielded a success rate of 84% (63/75), and a high concordance with HRM-sequencing (95% (60/63); kappa = 0.92; 95% CI = 0.84-1.01). TSACP-MiSeq-NGS detected 77 mutations in 29 additional genes.

conclusionTSACP-MiSeq-NGS is suitable for diagnostic gene mutation profiling in oncopathology.

Indexed as

MutationBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesDNA Mutational AnalysisDNA, NeoplasmErbB ReceptorsFormaldehydeHCT116 CellsHigh-Throughput Nucleotide SequencingHumansNeoplasmsParaffin EmbeddingPhosphatidylinositol 3-KinasesPolymerase Chain ReactionProto-Oncogene ProteinsProto-Oncogene Proteins B-rafBiomarkers, TumorBRAF protein, humanClass I Phosphatidylinositol 3-KinasesDNA, NeoplasmEGFR protein, humanErbB ReceptorsFormaldehydeKRAS protein, humanPhosphatidylinositol 3-KinasesPIK3CA protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)ras Proteins

Identifiers

PMID25209392
PMCPMC13004472

What OpenQuestion holds

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Registered trials

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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.