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


Journal

Targeted oncology
ISSN: 1776-260X
Titre abrégé: Target Oncol
Pays: France
ID NLM: 101270595

Informations de publication

Date de publication:
12 2020
Historique:
pubmed: 6 11 2020
medline: 14 10 2021
entrez: 5 11 2020
Statut: ppublish

Résumé

Tumor 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. The objective of this study was to present such a customized next-generation sequencing panel in melanoma. Melanoma 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. Four 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. Our 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.

Sections du résumé

BACKGROUND
Tumor 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.
OBJECTIVE
The objective of this study was to present such a customized next-generation sequencing panel in melanoma.
METHODS
Melanoma 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.
RESULTS
Four 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.
CONCLUSIONS
Our 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.

Identifiants

pubmed: 33151472
doi: 10.1007/s11523-020-00764-4
pii: 10.1007/s11523-020-00764-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

759-771

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Auteurs

Baptiste Louveau (B)

Department of Pharmacology and Solid Tumor Genomics, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 1 Avenue Claude Vellefaux, 75475, Paris Cedex 10, France.
Université de Paris, Paris, France.
INSERM UMR-S 976, Team 1, Human Immunology Pathophysiology and Immunotherapy (HIPI), Paris, France.

Fanélie Jouenne (F)

Department of Pharmacology and Solid Tumor Genomics, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 1 Avenue Claude Vellefaux, 75475, Paris Cedex 10, France.
Université de Paris, Paris, France.
INSERM UMR-S 976, Team 1, Human Immunology Pathophysiology and Immunotherapy (HIPI), Paris, France.

Pauline Têtu (P)

Department of Dermatology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.

Aurélie Sadoux (A)

Department of Pharmacology and Solid Tumor Genomics, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 1 Avenue Claude Vellefaux, 75475, Paris Cedex 10, France.

Aurélia Gruber (A)

Department of Pharmacology and Solid Tumor Genomics, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 1 Avenue Claude Vellefaux, 75475, Paris Cedex 10, France.

Eddie Lopes (E)

Department of Pharmacology and Solid Tumor Genomics, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, 1 Avenue Claude Vellefaux, 75475, Paris Cedex 10, France.

Julie Delyon (J)

Université de Paris, Paris, France.
INSERM UMR-S 976, Team 1, Human Immunology Pathophysiology and Immunotherapy (HIPI), Paris, France.
Department of Dermatology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.

Kevin Serror (K)

Department of Plastic, Reconstructive and Esthetic Surgery, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.

Oren Marco (O)

Department of Plastic, Reconstructive and Esthetic Surgery, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.

Laetitia Da Meda (L)

Department of Dermatology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.

Aminata Ndiaye (A)

MOABI-APHP Bioinformatics Platform-WIND-DSI, Assistance Publique-Hôpitaux de Paris, Paris, France.

Alban Lermine (A)

MOABI-APHP Bioinformatics Platform-WIND-DSI, Assistance Publique-Hôpitaux de Paris, Paris, France.

Nicolas Dumaz (N)

INSERM UMR-S 976, Team 1, Human Immunology Pathophysiology and Immunotherapy (HIPI), Paris, France.

Maxime Battistella (M)

Université de Paris, Paris, France.
INSERM UMR-S 976, Team 1, Human Immunology Pathophysiology and Immunotherapy (HIPI), Paris, France.
Department of Pathology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.

Barouyr Baroudjian (B)

Department of Dermatology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.

Céleste Lebbe (C)

Université de Paris, Paris, France.
INSERM UMR-S 976, Team 1, Human Immunology Pathophysiology and Immunotherapy (HIPI), Paris, France.
Department of Dermatology, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Paris, France.

Samia Mourah (S)

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.
Université de Paris, Paris, France. samia.mourah@aphp.fr.
INSERM UMR-S 976, Team 1, Human Immunology Pathophysiology and Immunotherapy (HIPI), Paris, France. samia.mourah@aphp.fr.

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