Molecular Mechanisms of Acquired Resistance to MET Tyrosine Kinase Inhibitors in Patients with MET Exon 14-Mutant NSCLC.


Journal

Clinical cancer research : an official journal of the American Association for Cancer Research
ISSN: 1557-3265
Titre abrégé: Clin Cancer Res
Pays: United States
ID NLM: 9502500

Informations de publication

Date de publication:
01 06 2020
Historique:
received: 03 11 2019
revised: 03 01 2020
accepted: 04 02 2020
pubmed: 9 2 2020
medline: 7 9 2021
entrez: 9 2 2020
Statut: ppublish

Résumé

Molecular mechanisms of acquired resistance to MET tyrosine kinase inhibitors (TKI) are poorly understood. We aimed to characterize the genomic mechanisms of resistance to type I and type II MET TKIs and their impact on sequential MET TKI therapy outcomes in patients with metastatic Genomic alterations occurring at the time of progression on MET TKIs were studied using plasma and tissue next-generation sequencing (NGS). A total of 20 patients had tissue or plasma available for analysis at the time of acquired resistance to a MET TKI. Genomic alterations known or suspected to be mechanisms of resistance were detected in 15 patients (75%). On-target acquired mechanisms of resistance, including single and polyclonal On-target secondary mutations and activation of bypass signaling drive resistance to MET TKIs. A deeper understanding of these molecular mechanisms can support the development of sequential or combinatorial therapeutic strategies to overcome resistance.

Identifiants

pubmed: 32034073
pii: 1078-0432.CCR-19-3608
doi: 10.1158/1078-0432.CCR-19-3608
doi:

Substances chimiques

Biomarkers, Tumor 0
Protein Kinase Inhibitors 0
MET protein, human EC 2.7.10.1
Proto-Oncogene Proteins c-met EC 2.7.10.1

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2615-2625

Subventions

Organisme : NCI NIH HHS
ID : R01 CA203636
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA209414
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA222823
Pays : United States

Informations de copyright

©2020 American Association for Cancer Research.

Auteurs

Gonzalo Recondo (G)

Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.

Magda Bahcall (M)

Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts.

Liam F Spurr (LF)

Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.

Jianwei Che (J)

Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts.

Biagio Ricciuti (B)

Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.

Giulia C Leonardi (GC)

Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.

Ying-Chun Lo (YC)

Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.

Yvonne Y Li (YY)

Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.

Giuseppe Lamberti (G)

Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.

Tom Nguyen (T)

Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.

Marina S D Milan (MSD)

Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.

Deepti Venkatraman (D)

Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.

Renato Umeton (R)

Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, Massachusetts.
Massachusetts Institute of Technology, Cambridge, Massachusetts.

Cloud P Paweletz (CP)

Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts.

Adem Albayrak (A)

Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, Massachusetts.

Andrew D Cherniack (AD)

Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.

Kristin S Price (KS)

Guardant Health, Redwood City, California.

Stephen R Fairclough (SR)

Guardant Health, Redwood City, California.

Mizuki Nishino (M)

Department of Radiology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.

Lynette M Sholl (LM)

Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.

Geoffrey R Oxnard (GR)

Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.

Pasi A Jänne (PA)

Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts.

Mark M Awad (MM)

Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts. mark_awad@dfci.harvard.edu.

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Classifications MeSH