Literature DB >> 30195702

Optimization of Routine Testing for MET Exon 14 Splice Site Mutations in NSCLC Patients.

Clotilde Descarpentries1, Frédéric Leprêtre2, Fabienne Escande1, Zoulika Kherrouche3, Martin Figeac2, Shéhérazade Sebda2, Simon Baldacci3, Valérie Grégoire4, Philippe Jamme3, Marie-Christine Copin5, David Tulasne3, Alexis B Cortot6.   

Abstract

INTRODUCTION: Genomic alterations affecting splice sites of MNNG HOS transforming gene (MET) exon 14 were recently identified in NSCLC patients. Objective responses to MET tyrosine kinase inhibitors have been reported in these patients. Thus, detection of MET exon 14 splice site mutations represents a major challenge. So far, most of these alterations were found by full-exome sequencing or large capture-based next-generation sequencing (NGS) panels, which are not suitable for routine diagnosis.
METHODS: Aiming to provide a molecular testing method applicable in routine practice, we first developed a fragment-length analysis for detecting deletions in introns flanking MET exon 14. Second, we designed an optimized targeted NGS panel called CLAPv1, covering the MET exon 14 and flanking regions in addition to the main molecular targets usually covered in genomic testing. In patients with MET exon 14 mutations, MET gene amplification, gene copy number and MET receptor expression were also determined.
RESULTS: Among 1514 formalin-fixed paraffin-embedded NSCLC samples, nonoptimized NGS allowed detection of MET exon 14 mutations in only 0.3% of the patients, and fragment length analysis detected deletions in 1.1% of the patients. Combined, the optimized CLAPv1 panel and fragment-length analysis implemented for routine molecular testing revealed MET exon 14 alterations in 2.2% of 365 additional NSCLC patients. MET gene amplification or high gene copy number was observed in 6 of 30 patients (20%) harboring MET exon 14 mutations.
CONCLUSIONS: These results show that optimized targeted NGS and fragment-length analysis improve detection of MET alterations in routine practice.
Copyright © 2018 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Lung cancer; MET; Next-generation sequencing; Receptor tyrosine kinase; Splice site

Mesh:

Substances:

Year:  2018        PMID: 30195702     DOI: 10.1016/j.jtho.2018.08.2023

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  7 in total

1.  MET∆14 promotes a ligand-dependent, AKT-driven invasive growth.

Authors:  Marina Cerqua; Orsola Botti; Maddalena Arigoni; Noemi Gioelli; Guido Serini; Raffaele Calogero; Carla Boccaccio; Paolo M Comoglio; Dogus M Altintas
Journal:  Life Sci Alliance       Date:  2022-05-30

Review 2.  MET-dependent solid tumours - molecular diagnosis and targeted therapy.

Authors:  Robin Guo; Jia Luo; Jason Chang; Natasha Rekhtman; Maria Arcila; Alexander Drilon
Journal:  Nat Rev Clin Oncol       Date:  2020-06-08       Impact factor: 66.675

Review 3.  When the MET receptor kicks in to resist targeted therapies.

Authors:  Marie Fernandes; Philippe Jamme; Alexis B Cortot; Zoulika Kherrouche; David Tulasne
Journal:  Oncogene       Date:  2021-05-24       Impact factor: 9.867

Review 4.  MET Exon 14 Skipping Mutations in Non-Small-Cell Lung Cancer: An Overview of Biology, Clinical Outcomes, and Testing Considerations.

Authors:  Mark A Socinski; Nathan A Pennell; Kurtis D Davies
Journal:  JCO Precis Oncol       Date:  2021-04-13

5.  Preferable background filtering for next-generation sequencing analysis in non-small cell lung cancer: pericarcinomatous tissues or peripheral blood lymphocytes?

Authors:  Yaxiong Zhang; Lianpeng Chang; Wenfeng Fang; Yunpeng Yang; Lanjun Zhang; Shaodong Hong; Huaqiang Zhou; Yanfang Guan; Xin Yi; Li Zhang
Journal:  Cancer Commun (Lond)       Date:  2019-06-13

6.  Devil in the detail: MET overexpression fails as surrogate marker for MET exon 14 splice site mutations in NSCLC.

Authors:  Matthew R Strickland; Pasi A Jänne
Journal:  Ann Transl Med       Date:  2020-12

Review 7.  Targeting MET Dysregulation in Cancer.

Authors:  Gonzalo Recondo; Jianwei Che; Pasi A Jänne; Mark M Awad
Journal:  Cancer Discov       Date:  2020-06-12       Impact factor: 38.272

  7 in total

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