Evidence map›Paper›PMID 28228113›Full record

ArticleBMC cancer2017

Validation of an NGS mutation detection panel for melanoma.

Anne Reiman, Hugh Kikuchi, Daniela Scocchia, Peter Smith, Yee Wah Tsang, David Snead, Ian A Cree

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  4. Review
  5. BRAFCancer cell international · 2023
    Article
  6. Next-generation sequencing in dermatology.Frontiers in medicine · 2023
    Review
  7. Review
  8. Dental DNA as an Indicator of Post-Mortem Interval (PMI): A Pilot Research.International journal of molecular sciences · 2022
    Article
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  11. Article
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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.

Anne ReimanDepartment of Pathology - Coventry and Warwickshire Pathology Services (CWPS), University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK.
Hugh KikuchiDepartment of Pathology - Coventry and Warwickshire Pathology Services (CWPS), University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK.
Daniela ScocchiaDepartment of Pathology - Coventry and Warwickshire Pathology Services (CWPS), University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK.
Peter SmithDepartment of Pathology - Coventry and Warwickshire Pathology Services (CWPS), University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK.
Yee Wah TsangDepartment of Pathology - Coventry and Warwickshire Pathology Services (CWPS), University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK.
David SneadDepartment of Pathology - Coventry and Warwickshire Pathology Services (CWPS), University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK.
Ian A CreeDepartment of Pathology - Coventry and Warwickshire Pathology Services (CWPS), University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK. iancreephd@gmail.com.
University Hospitals Coventry and Warwickshire NHS Trust · GBCoventry University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge of the genotype of melanoma is important to guide patient management. Identification of mutations in BRAF and c-KIT lead directly to targeted treatment, but it is also helpful to know if there are driver oncogene mutations in NRAS, GNAQ or GNA11 as these patients may benefit from alternative strategies such as immunotherapy.

methodsWhile polymerase chain reaction (PCR) methods are often used to detect BRAF mutations, next generation sequencing (NGS) is able to determine all of the necessary information on several genes at once, with potential advantages in turnaround time. We describe here an Ampliseq hotspot panel for melanoma for use with the IonTorrent Personal Genome Machine (PGM) which covers the mutations currently of most clinical interest.

resultsWe have validated this in 151 cases of skin and uveal melanoma from our files, and correlated the data with PCR based assessment of BRAF status. There was excellent agreement, with few discrepancies, though NGS does have greater coverage and picks up some mutations that would be missed by PCR. However, these are often rare and of unknown significance for treatment.

conclusionsPCR methods are rapid, less time-consuming and less expensive than NGS, and could be used as triage for patients requiring more extensive diagnostic workup. The NGS panel described here is suitable for clinical use with formalin-fixed paraffin-embedded (FFPE) samples.

Indexed as

AdultAgedAged, 80 and overComputational BiologyDNA Mutational AnalysisFemaleGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansMaleMelanomaMiddle AgedParaffin EmbeddingPolymerase Chain ReactionProto-Oncogene Proteins B-rafSkin NeoplasmsBRAF protein, humanProto-Oncogene Proteins B-rafBRAFMelanomaMutationNGSNRASPCR

Identifiers

PMID28228113
PMCPMC5322598
OpenAlexW2590342477

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.