Evidence map›Paper›PMID 24838331›Full record

ArticleAmerican journal of clinical pathology2014

Clinical validation of KRAS, BRAF, and EGFR mutation detection using next-generation sequencing.

Ming-Tseh Lin, Stacy L Mosier, Michele Thiess, Katie F Beierl, Marija Debeljak, Li-Hui Tseng, Guoli Chen, Srinivasan Yegnasubramanian, Hao Ho, Leslie Cope and 3 more

Abstract readValidation Study
In one paragraph

Article in American journal of clinical pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 2 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

80 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. Allele-Specific PCR forDiagnostics (Basel, Switzerland) · 2020
    Article

20 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

13 authors.

Ming-Tseh LinFrom the Departments of Pathology and.
Stacy L MosierFrom the Departments of Pathology and.
Michele ThiessFrom the Departments of Pathology and.
Katie F BeierlFrom the Departments of Pathology and.
Marija DebeljakFrom the Departments of Pathology and.
Li-Hui TsengDepartment of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan.
Guoli ChenFrom the Departments of Pathology and.
Srinivasan YegnasubramanianOncology, The Johns Hopkins University School of Medicine, Baltimore, MD; and.
Hao HoFrom the Departments of Pathology and.
Leslie CopeOncology, The Johns Hopkins University School of Medicine, Baltimore, MD; and.
Sarah J WheelanOncology, The Johns Hopkins University School of Medicine, Baltimore, MD; and.
Christopher D GockeFrom the Departments of Pathology and Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD; and.
James R EshlemanFrom the Departments of Pathology and Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD; and jeshlema@jhmi.edu.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
A Method for Rapid Long-range Direct HaplotypingR21HG004315 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI GOCKE, CHRISTOPHER D · 2007 to 2008
$451k
Assaying the Combinatorial TranscriptomeR21HG005745 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI GOCKE, CHRISTOPHER D · 2010 to 2011
$447k
Identifying Familial Pancreatic Cancer Predisposition GenesR21CA164592 · NCI · JOHNS HOPKINS UNIVERSITY · PI ESHLEMAN, JAMES R. · 2012 to 2013
$377k
NCI NIH HHS P30 CA006973NCI NIH HHS R21 CA164592NCI NIH HHS R21CA164592NHGRI NIH HHS R21 HG004315NHGRI NIH HHS R21HG004315NHGRI NIH HHS R21 HG005745NHGRI NIH HHS R21HG005745
6 · The paper itself

Abstract

objectivesTo validate next-generation sequencing (NGS) technology for clinical diagnosis and to determine appropriate read depth.

methodsWe validated the KRAS, BRAF, and EGFR genes within the Ion AmpliSeq Cancer Hotspot Panel using the Ion Torrent Personal Genome Machine (Life Technologies, Carlsbad, CA).

resultsWe developed a statistical model to determine the read depth needed for a given percent tumor cellularity and number of functional genomes. Bottlenecking can result from too few input genomes. By using 16 formalin-fixed, paraffin-embedded (FFPE) cancer-free specimens and 118 cancer specimens with known mutation status, we validated the six traditional analytic performance characteristics recommended by the Next-Generation Sequencing: Standardization of Clinical Testing Working Group. Baseline noise is consistent with spontaneous and FFPE-induced C:G→T:A deamination mutations.

conclusionsRedundant bioinformatic pipelines are essential, since a single analysis pipeline gave false-negative and false-positive results. NGS is sufficiently robust for the clinical detection of gene mutations, with attention to potential artifacts.

Indexed as

Biomarkers, TumorDeaminationErbB ReceptorsHigh-Throughput Nucleotide SequencingLimit of DetectionMolecular Diagnostic TechniquesMutationNeoplasmsParaffin EmbeddingProto-Oncogene ProteinsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)ras ProteinsReproducibility of ResultsSensitivity and SpecificityBiomarkers, TumorBRAF protein, humanEGFR protein, humanErbB ReceptorsKRAS protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)ras ProteinsBRAFDeaminationEGFRKRASNext-generation sequencingRead depthValidation

Identifiers

PMID24838331
PMCPMC4332779

What OpenQuestion holds

Textmetadata
LicenceTDM
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.