Evidence map›Paper›PMID 28356599›Full record

ArticleScientific reports2017

Towards Personalized Medicine in Melanoma: Implementation of a Clinical Next-Generation Sequencing Panel.

Blanca de Unamuno Bustos, Rosa Murria Estal, Gema Pérez Simó, Inmaculada de Juan Jimenez, Begoña Escutia Muñoz, Mercedes Rodríguez Serna, Victor Alegre de Miquel, Margarita Llavador Ros, Rosa Ballester Sánchez, Eduardo Nagore Enguídanos and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–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

39 citing papers in PubMed.

  1. Article
  2. Sinonasal Mucosal Melanoma: A Comprehensive Review and Clinical Experience.Journal of rhinology : official journal of the Korean Rhinologic Society · 2025
    Review
  3. Melanoma genomics - will we go beyond BRAF in clinics?Journal of cancer research and clinical oncology · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Next-generation sequencing in dermatology.Frontiers in medicine · 2023
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. BRAF Gene and Melanoma: Back to the Future.International journal of molecular sciences · 2021
    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

12 authors.

Blanca de Unamuno BustosDepartment of Dermatology, Hospital Universitari i Politecnic La Fe, Valencia, Spain.
Rosa Murria EstalMolecular Biology Laboratory, Service of Clinical Analysis, Hospital Universitari i Politecnic La Fe, Valencia, Spain.
Gema Pérez SimóMolecular Biology Laboratory, Service of Clinical Analysis, Hospital Universitari i Politecnic La Fe, Valencia, Spain.
Inmaculada de Juan JimenezMolecular Biology Laboratory, Service of Clinical Analysis, Hospital Universitari i Politecnic La Fe, Valencia, Spain.
Begoña Escutia MuñozDepartment of Dermatology, Hospital Universitari i Politecnic La Fe, Valencia, Spain.
Mercedes Rodríguez SernaDepartment of Dermatology, Hospital Universitari i Politecnic La Fe, Valencia, Spain.
Victor Alegre de MiquelDepartment of Dermatology, Hospital General Universitario de Valencia, Valencia, Spain.
Margarita Llavador RosDepartment of Pathology, Hospital Universitari i Politecnic La Fe, Valencia, Spain.
Rosa Ballester SánchezDepartment of Dermatology, La Plana Hospital, Villarreal, Castellón, Spain.
Eduardo Nagore EnguídanosDepartment of Dermatology, Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain.
Sarai Palanca SuelaMolecular Biology Laboratory, Service of Clinical Analysis, Hospital Universitari i Politecnic La Fe, Valencia, Spain. palanca_sar@gva.es.
Rafael Botella EstradaDepartment of Dermatology, Hospital Universitari i Politecnic La Fe, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular diagnostics are increasingly performed routinely in the diagnosis and management of patients with melanoma due to the development of novel therapies that target specific genetic mutations. The development of next-generation sequencing (NGS) technologies has enabled to sequence multiple cancer-driving genes in a single assay, with improved sensitivity in mutation detection. The main objective of this study was the design and implementation of a melanoma-specific sequencing panel, and the identification of the spectrum of somatic mutations in a series of primary melanoma samples. A custom panel was designed to cover the coding regions of 35 melanoma-related genes. Panel average coverage was 2,575.5 reads per amplicon, with 92,8% of targeted bases covered ≥500×. Deep coverage enabled sensitive discovery of mutations in as low as 0.5% mutant allele frequency. Eighty-five percent (85/100) of the melanomas had at least one somatic mutation. The most prevalent mutated genes were BRAF (50%;50/199), NRAS (15%;15/100), PREX2 (14%;14/100), GRIN2A (13%;13/100), and ERBB4 (12%;12/100). Turn-around-time and costs for NGS-based analysis was reduced in comparison to conventional molecular approaches. The results of this study demonstrate the cost-effectiveness and feasibility of a custom-designed targeted NGS panel, and suggest the implementation of targeted NGS into daily routine practice.

Indexed as

Precision MedicineAgedAged, 80 and overBiomarkers, TumorCell Line, TumorCost-Benefit AnalysisFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenetic TestingHigh-Throughput Nucleotide SequencingHumansMaleMelanomaMiddle AgedMutationBiomarkers, Tumor

Identifiers

PMID28356599
PMCPMC5428782

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.