Evidence map›Paper›PMID 33151472›Full record

ArticleTargeted oncology2020

A Melanoma-Tailored Next-Generation Sequencing Panel Coupled with a Comprehensive Analysis to Improve Routine Melanoma Genotyping.

Baptiste Louveau, Fanélie Jouenne, Pauline Têtu, Aurélie Sadoux, Aurélia Gruber, Eddie Lopes, Julie Delyon, Kevin Serror, Oren Marco, Laetitia Da Meda and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in Targeted oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Melanoma genomics - will we go beyond BRAF in clinics?Journal of cancer research and clinical oncology · 2024
    Review
  4. Article
  5. Article
  6. 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

17 authors at 5 institutions in 1 country.

Baptiste Louveau *Department of Pharmacology and Solid Tumor Genomics, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 1 Avenue Claude Vellefaux, 75475, Paris Cedex 10, France.
Fanélie Jouenne *Department of Pharmacology and Solid Tumor Genomics, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 1 Avenue Claude Vellefaux, 75475, Paris Cedex 10, France.
Pauline TêtuDepartment of Dermatology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.
Aurélie SadouxDepartment of Pharmacology and Solid Tumor Genomics, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 1 Avenue Claude Vellefaux, 75475, Paris Cedex 10, France.
Aurélia GruberDepartment of Pharmacology and Solid Tumor Genomics, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 1 Avenue Claude Vellefaux, 75475, Paris Cedex 10, France.
Eddie LopesDepartment of Pharmacology and Solid Tumor Genomics, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 1 Avenue Claude Vellefaux, 75475, Paris Cedex 10, France.
Julie DelyonUniversité de Paris, Paris, France.
Kevin SerrorDepartment of Plastic, Reconstructive and Esthetic Surgery, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.
Oren MarcoDepartment of Plastic, Reconstructive and Esthetic Surgery, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.
Laetitia Da MedaDepartment of Dermatology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.
Aminata NdiayeMOABI-APHP Bioinformatics Platform-WIND-DSI, Assistance Publique-Hôpitaux de Paris, Paris, France.
Alban LermineMOABI-APHP Bioinformatics Platform-WIND-DSI, Assistance Publique-Hôpitaux de Paris, Paris, France.
Nicolas DumazINSERM UMR-S 976, Team 1, Human Immunology Pathophysiology and Immunotherapy (HIPI), Paris, France.
Maxime BattistellaUniversité de Paris, Paris, France.
Barouyr BaroudjianDepartment of Dermatology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.
Céleste Lebbe *Université de Paris, Paris, France.
Samia Mourah *Department of Pharmacology and Solid Tumor Genomics, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 1 Avenue Claude Vellefaux, 75475, Paris Cedex 10, France. samia.mourah@aphp.fr.
Hôpital Saint-Louis · FRAssistance Publique – Hôpitaux de Paris · FRInserm · FRUniversité Paris Cité · FRHIPI - Immunologie humaine, physiopathologie et immunithérapie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor molecular deciphering is crucial in clinical management. Pan-cancer next-generation sequencing panels have moved towards exhaustive molecular characterization. However, because of treatment resistance and the growing emergence of pharmacological targets, tumor-specific customized panels are needed to guide therapeutic strategies.

objectiveThe objective of this study was to present such a customized next-generation sequencing panel in melanoma.

methodsMelanoma patients with somatic molecular profiling performed as part of routine care were included. High-throughput sequencing was performed with a melanoma tailored next-generation sequencing panel of 64 genes involved in molecular classification, prognosis, theranostic, and therapeutic resistance. Single nucleotide variants and copy number variations were screened, and a comprehensive molecular analysis identified clinically relevant alterations.

resultsFour hundred and twenty-one melanoma cases were analyzed (before any treatment initiation for 94.8% of patients). After bioinformatic prioritization, we uncovered 561 single nucleotide variants, 164 copy number variations, and four splice-site mutations. At least one alteration was detected in 368 (87.4%) lesions, with BRAF, NRAS, CDKN2A, CCND1, and MET as the most frequently altered genes. Among patients with BRAFV600 mutated melanoma, 44.5% (77 of 173) harbored at least one concurrent alteration driving potential resistance to mitogen-activated protein kinase inhibitors. In patients with RAS hotspot mutated lesions and in patients with neither BRAFV600 nor RAS hotspot mutations, alterations constituting potential pharmacological targets were found in 56.9% (66 of 116) and 47.7% (63 of 132) of cases, respectively.

conclusionsOur tailored next-generation sequencing assay coupled with a comprehensive analysis may improve therapeutic management in a significant number of patients with melanoma. Updating such a panel and implementing multi-omic approaches will further enhance patients' clinical management.

Indexed as

FemaleGenotypeHigh-Throughput Nucleotide SequencingHumansMaleMelanoma

Identifiers

PMID33151472
OpenAlexW3094909242

What OpenQuestion holds

Textmetadata
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.