Clinical Interest in Exome-Based Analysis of Somatic Mutational Signatures for Non-Small Cell Lung Cancer.

immune checkpoint inhibitors non-small cell lung cancer prognostic biomarkers somatic mutational signatures whole exome sequencing

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
09 Sep 2024
Historique:
received: 01 08 2024
revised: 29 08 2024
accepted: 06 09 2024
medline: 14 9 2024
pubmed: 14 9 2024
entrez: 14 9 2024
Statut: epublish

Résumé

Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality. This study investigates the clinical interest of whole exome sequencing (WES) for analyzing somatic mutational signatures in patients with advanced or metastatic NSCLC treated with the current standard of care. Exome sequencing data and clinical characteristics from 132 patients with advanced or metastatic NSCLC were analyzed. Somatic mutational signatures including single base substitutions (SBSs), double base substitutions (DBSs), and copy number signatures were evaluated. Structural variations including tumor mutational burden (TMB), the number of neoantigens, TCR clonality, homologous recombination deficiency (HRD), copy number alterations (CNAs), and microsatellite instability (MSI) score were determined. The association between these genomic features, NSCLC subtypes, and patient outcomes (progression-free and overall survival) was evaluated. Exome sequencing offers valuable insights into somatic mutational signatures in NSCLC. This study identified specific signatures associated with a poor response to immune checkpoint inhibitor (ICI) therapy and chemotherapy, potentially aiding treatment selection and identifying patients unlikely to benefit from these approaches.

Sections du résumé

BACKGROUND BACKGROUND
Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality. This study investigates the clinical interest of whole exome sequencing (WES) for analyzing somatic mutational signatures in patients with advanced or metastatic NSCLC treated with the current standard of care.
METHODS METHODS
Exome sequencing data and clinical characteristics from 132 patients with advanced or metastatic NSCLC were analyzed. Somatic mutational signatures including single base substitutions (SBSs), double base substitutions (DBSs), and copy number signatures were evaluated. Structural variations including tumor mutational burden (TMB), the number of neoantigens, TCR clonality, homologous recombination deficiency (HRD), copy number alterations (CNAs), and microsatellite instability (MSI) score were determined. The association between these genomic features, NSCLC subtypes, and patient outcomes (progression-free and overall survival) was evaluated.
CONCLUSIONS CONCLUSIONS
Exome sequencing offers valuable insights into somatic mutational signatures in NSCLC. This study identified specific signatures associated with a poor response to immune checkpoint inhibitor (ICI) therapy and chemotherapy, potentially aiding treatment selection and identifying patients unlikely to benefit from these approaches.

Identifiants

pubmed: 39272973
pii: cancers16173115
doi: 10.3390/cancers16173115
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Auteurs

Morgane Peroz (M)

Platform of Transfer in Biological Oncology, Georges-Francois Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.
Unité de Formation et de Recherche des Sciences de Santé, University of Burgundy-Franche-Comté, 21000 Dijon, France.
Unité Mixte de Recherche de l'Institut National de la Santé Et de la Recherche Médicale (INSERM) 1231, 21000 Dijon, France.

Hugo Mananet (H)

Platform of Transfer in Biological Oncology, Georges-Francois Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.
Unité de Formation et de Recherche des Sciences de Santé, University of Burgundy-Franche-Comté, 21000 Dijon, France.
Unité Mixte de Recherche de l'Institut National de la Santé Et de la Recherche Médicale (INSERM) 1231, 21000 Dijon, France.

Nicolas Roussot (N)

Department of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.

Courèche Guillaume Kaderbhai (CG)

Department of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.

Valentin Derangère (V)

Platform of Transfer in Biological Oncology, Georges-Francois Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.
Unité de Formation et de Recherche des Sciences de Santé, University of Burgundy-Franche-Comté, 21000 Dijon, France.
Unité Mixte de Recherche de l'Institut National de la Santé Et de la Recherche Médicale (INSERM) 1231, 21000 Dijon, France.

Caroline Truntzer (C)

Platform of Transfer in Biological Oncology, Georges-Francois Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.
Unité de Formation et de Recherche des Sciences de Santé, University of Burgundy-Franche-Comté, 21000 Dijon, France.
Unité Mixte de Recherche de l'Institut National de la Santé Et de la Recherche Médicale (INSERM) 1231, 21000 Dijon, France.

François Ghiringhelli (F)

Platform of Transfer in Biological Oncology, Georges-Francois Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.
Unité de Formation et de Recherche des Sciences de Santé, University of Burgundy-Franche-Comté, 21000 Dijon, France.
Unité Mixte de Recherche de l'Institut National de la Santé Et de la Recherche Médicale (INSERM) 1231, 21000 Dijon, France.
Department of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.

Classifications MeSH