Evidence map›Paper›PMID 24604154›Full record

ArticleMolecular diagnosis & therapy2014

Tumor cellularity as a quality assurance measure for accurate clinical detection of BRAF mutations in melanoma.

Jonathan C Dudley, Grzegorz T Gurda, Li-Hui Tseng, Derek A Anderson, Guoli Chen, Janis M Taube, Christopher D Gocke, James R Eshleman, Ming-Tseh Lin

Abstract read
In one paragraph

Article in Molecular diagnosis & therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Comparison of Two Rapid Assays for the Detection ofDiagnostics (Basel, Switzerland) · 2022
    Article
  8. Article
  9. Testing forDisease markers · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. NRASQ61R immunohistochemistry: a new tool for mutational status screening in challenging melanoma samples.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2016
    Article
  15. Article
  16. Performance characteristics of next-generation sequencing in clinical mutation detection of colorectal cancers.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2015
    Article
  17. Article
  18. 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

9 authors at 3 institutions in 2 countries.

Jonathan C DudleyDepartment of Pathology, Johns Hopkins University School of Medicine, Johns Hopkins Hospital, Park SB202, 600 North Wolfe St., Baltimore, MD, 21287, USA.
Grzegorz T Gurda
Li-Hui Tseng
Derek A Anderson
Guoli Chen
Janis M Taube
Christopher D Gocke
James R Eshleman
Ming-Tseh Lin
Johns Hopkins Hospital · USJohns Hopkins University · USJohns Hopkins Medicine · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

backgroundDetection of BRAF mutations is an established standard of care to predict small-molecule inhibitor (vemurafenib) response in metastatic melanoma. Molecular assays should be designed to detect not only the most common p.V600E mutation, but also p.V600K and other non-p.V600E mutations.

objectiveThe purpose of this study was to assess if tumor cellularity can function as a quality assurance (QA) measure in molecular diagnostics. Potential causes of discrepancy between the observed and predicted mutant allele percentage were also explored.

methodsWe correlated pathologist-generated estimates of tumor cellularity versus mutant allele percentage via pyrosequencing as a QA measure for BRAF mutation detection in formalin-fixed, paraffin-embedded melanoma specimens.

resultsBRAF mutations were seen in 27/62 (44 %) specimens, with 93 % p.V600E and 7 % non-p.V600E. Correlation between p.V600E mutant percentage and tumor cellularity was poor-moderate (r = -0.02; p = 0.8), primarily because six samples showed a low p.V600E signal despite high tumor cellularity. A QA investigation revealed that our initial pyrosequencing assay showed a false positive, weak p.V600E signal in specimens with a p.V600K mutation. A redesigned assay detected BRAF mutations in 50/131 (38 %) specimens, including 30 % non-p.V600E. This revised assay showed strong correlation between p.V600E BRAF mutant percentage and tumor cellularity (r = 0.76; p ≤ 0.01). Re-evaluation of the previously discordant samples by the revised assay confirmed a high level of p.V600K mutation in five specimens.

conclusionsPathologists play important roles in molecular diagnostics, beyond identification of correct cells for testing. Accurate evaluation of tumor cellularity not only ensures sufficient material for required analytic sensitivity, but also provides an independent QA measure of the molecular assays.

Indexed as

DNA Mutational AnalysisHumansMelanomaMutationProto-Oncogene Proteins B-rafSkin NeoplasmsProto-Oncogene Proteins B-raf

Identifiers

PMID24604154
PMCPMC4643460
OpenAlexW1984073514

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.