| Literature DB >> 33236532 |
Cristina Aguado1, Cristina Teixido2,3, Ruth Román1, Roxana Reyes4, Ana Giménez-Capitán1, Elba Marin3,4, Carlos Cabrera5, Nuria Viñolas4, Sergi Castillo6, Silvia Muñoz6, Ainara Arcocha4, Laura López-Vilaró7, Ivana Sullivan8, Erika Aldeguer1, Sonia Rodríguez1, Irene Moya5, Santiago Viteri5,9, Andrés Felipe Cardona10,11, Ramon Palmero12, Cristina Sainz13,14, Miguel Mesa-Guzmán15, Maria D Lozano14,16,17, Andrés Aguilar-Hernández5, Alejandro Martínez-Bueno5, María González-Cao5, Elena Gonzalvo2, William P J Leenders18, Rafael Rosell5,19,20, Luis M Montuenga13,14,16,17, Aleix Prat3,4, Miguel A Molina-Vila1, Noemi Reguart3,4.
Abstract
MET inhibitors have shown activity in non-small-cell lung cancer patients (NSCLC) with MET amplification and exon 14 skipping (METΔex14). However, patient stratification is imperfect, and thus, response rates have varied widely. Here, we studied MET alterations in 474 advanced NSCLC patients by nCounter, an RNA-based technique, together with next-generation sequencing (NGS), fluorescence in situ hybridization (FISH), immunohistochemistry (IHC), and reverse transcriptase polymerase chain reaction (RT-PCR), exploring correlation with clinical benefit. Of the 474 samples analyzed, 422 (89%) yielded valid results by nCounter, which identified 13 patients (3%) with METΔex14 and 15 patients (3.5%) with very-high MET mRNA expression. These two subgroups were mutually exclusive, displayed distinct phenotypes and did not generally coexist with other drivers. For METΔex14, 3/8 (37.5%) samples positive by nCounter tested negative by NGS. Regarding patients with very-high MET mRNA, 92% had MET amplification by FISH and/or NGS. However, FISH failed to identify three patients (30%) with very-high MET RNA expression, among which one received MET tyrosine kinase inhibitor treatment deriving clinical benefit. Our results indicate that quantitative mRNA-based techniques can improve the selection of patients for MET-targeted therapies.Entities:
Keywords: MET; RNA; amplification; expression; lung cancer; skipping
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Year: 2020 PMID: 33236532 PMCID: PMC7858100 DOI: 10.1002/1878-0261.12861
Source DB: PubMed Journal: Mol Oncol ISSN: 1574-7891 Impact factor: 7.449