Molecular correlates of response to capmatinib in advanced non-small-cell lung cancer: clinical and biomarker results from a phase I trial.
MET amplification
MET exon 14
MET mutation
NSCLC
capmatinib
Journal
Annals of oncology : official journal of the European Society for Medical Oncology
ISSN: 1569-8041
Titre abrégé: Ann Oncol
Pays: England
ID NLM: 9007735
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
received:
13
10
2019
revised:
13
03
2020
accepted:
14
03
2020
pubmed:
3
4
2020
medline:
20
1
2021
entrez:
3
4
2020
Statut:
ppublish
Résumé
Dysregulation of receptor tyrosine kinase MET by various mechanisms occurs in 3%-4% of non-small-cell lung cancer (NSCLC) and is associated with unfavorable prognosis. While MET is a validated drug target in lung cancer, the best biomarker strategy for the enrichment of a susceptible patient population still remains to be defined. Towards this end we analyze here primary data from a phase I dose expansion study of the MET inhibitor capmatinib in patients with advanced MET-dysregulated NSCLC. Eligible patients [≥18 years; Eastern Cooperative Oncology Group (ECOG) performance status ≤2] with MET-dysregulated advanced NSCLC, defined as either (i) MET status by immunohistochemistry (MET IHC) 2+ or 3+ or H-score ≥150, or MET/centromere ratio ≥2.0 or gene copy number (GCN) ≥5, or (ii) epidermal growth factor receptor wild-type (EGFRwt) and centrally assessed MET IHC 3+, received capmatinib at the recommended dose of 400 mg (tablets) or 600 mg (capsules) b.i.d. The primary objective was to determine safety and tolerability; the key secondary objective was to explore antitumor activity. The exploratory end point was the correlation of clinical activity with different biomarker formats. Of 55 patients with advanced MET-dysregulated NSCLC, 40/55 (73%) had received two or more prior systemic therapies. All patients discontinued treatment, primarily due to disease progression (69.1%). The median treatment duration was 10.4 weeks. The overall response rate per RECIST was 20% (95% confidence interval, 10.4-33.0). In patients with MET GCN ≥6 (n = 15), the overall response rate by both the investigator and central assessments was 47%. The median progression-free survival per investigator for patients with MET GCN ≥6 was 9.3 months (95% confidence interval, 3.8-11.9). Tumor responses were observed in all four patients with METex14. The most common toxicities were nausea (42%), peripheral edema (33%), and vomiting (31%). MET GCN ≥6 and/or METex14 are suited to predict clinical activity of capmatinib in patients with NSCLC (NCT01324479).
Sections du résumé
BACKGROUND
Dysregulation of receptor tyrosine kinase MET by various mechanisms occurs in 3%-4% of non-small-cell lung cancer (NSCLC) and is associated with unfavorable prognosis. While MET is a validated drug target in lung cancer, the best biomarker strategy for the enrichment of a susceptible patient population still remains to be defined. Towards this end we analyze here primary data from a phase I dose expansion study of the MET inhibitor capmatinib in patients with advanced MET-dysregulated NSCLC.
PATIENTS AND METHODS
Eligible patients [≥18 years; Eastern Cooperative Oncology Group (ECOG) performance status ≤2] with MET-dysregulated advanced NSCLC, defined as either (i) MET status by immunohistochemistry (MET IHC) 2+ or 3+ or H-score ≥150, or MET/centromere ratio ≥2.0 or gene copy number (GCN) ≥5, or (ii) epidermal growth factor receptor wild-type (EGFRwt) and centrally assessed MET IHC 3+, received capmatinib at the recommended dose of 400 mg (tablets) or 600 mg (capsules) b.i.d. The primary objective was to determine safety and tolerability; the key secondary objective was to explore antitumor activity. The exploratory end point was the correlation of clinical activity with different biomarker formats.
RESULTS
Of 55 patients with advanced MET-dysregulated NSCLC, 40/55 (73%) had received two or more prior systemic therapies. All patients discontinued treatment, primarily due to disease progression (69.1%). The median treatment duration was 10.4 weeks. The overall response rate per RECIST was 20% (95% confidence interval, 10.4-33.0). In patients with MET GCN ≥6 (n = 15), the overall response rate by both the investigator and central assessments was 47%. The median progression-free survival per investigator for patients with MET GCN ≥6 was 9.3 months (95% confidence interval, 3.8-11.9). Tumor responses were observed in all four patients with METex14. The most common toxicities were nausea (42%), peripheral edema (33%), and vomiting (31%).
CONCLUSIONS
MET GCN ≥6 and/or METex14 are suited to predict clinical activity of capmatinib in patients with NSCLC (NCT01324479).
Identifiants
pubmed: 32240796
pii: S0923-7534(20)36380-8
doi: 10.1016/j.annonc.2020.03.293
pmc: PMC9720758
mid: NIHMS1849769
pii:
doi:
Substances chimiques
Benzamides
0
Biomarkers
0
Imidazoles
0
Triazines
0
Proto-Oncogene Proteins c-met
EC 2.7.10.1
capmatinib
TY34L4F9OZ
Banques de données
ClinicalTrials.gov
['NCT01324479']
Types de publication
Clinical Trial, Phase I
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
789-797Subventions
Organisme : NCI NIH HHS
ID : P30 CA016672
Pays : United States
Informations de copyright
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Disclosure MS reports grants and personal fees from AstraZeneca (AZ), Boehringer Ingelheim (BI), Bristol-Myers Squibb (BMS), Novartis; and personal fees from Celgene, Lilly, Merck Sharp & Dohme GmbH (MSD), Pierre Fabre, Roche, AbbVie, Alexion, outside the submitted work. RB reports personal fees from Otsuka, outside the submitted work. W-TL reports personal fees (advisory role) from Novartis. TMB reports personal fees (consulting or advisory role) from Ignyta, Guardant Health, Loxo, Pfizer, Moderna Therapeutics; personal fees (speakers' bureau) from Bayer; and research funding: Daiichi Sankyo, MedPacto, Inc., Incyte, Mirati Therapeutics, MedImmune, AbbVie, AZ, Leap Therapeutics, MabVax, Stemline Therapeutics, Merck, Lilly, GSK, Novartis, Pfizer, Genentech/Roche, Deciphera, Merrimack, ImmunoGen, Millennium, Ignyta, Calithera Biosciences, Kolltan Pharmaceuticals, Principia Biopharma, Peloton, Immunocore, Roche, Aileron Therapeutics, BMS, Amgen, Moderna Therapeutics, Sanofi, BI, Astellas Pharma, Five Prime Therapeutics, Jacobio, Top Alliance BioSciences, Loxo, Janssen, Clovis Oncology, Takeda, Karyopharm Therapeutics, Onyx, Phosplatin Therapeutics, and Foundation Medicine. DHL reports personal fees from AZ, BI, BMS, CJ Healthcare, Eli Lilly, ChongKeunDang, Janssen, Merck, MSD, Mundipharma, Novartis, Ono, Pfizer, Roche, Samyang Biopharm, ST Cube, AbbVie, and Takeda, outside the submitted work. MW reports personal fees from MSD, BMS, BI, Hoffmann-La Roche, Pfizer, Takeda, and Novartis, outside the submitted work. DSH reports research grants from Novartis during the conduct of the study; research grants from AbbVie, Amgen, AZ, BMS, Daiichi Sankyo, Eisai, Fate Therapeutics, Genmab, Ignyta, Kite, Kyowa, Lilly, Merck, MedImmune, Mirati Therapeutics, Molecular Templates, Mologen, NCI-CTEP, Pfizer; research grants and personal fees (advisory role) from Adaptimmune, Bayer, Genentech, Infinity, Seattle Genetics, Takeda; grants and non-financial support (travel) from Loxo, MiRNA; and personal fees (advisory role) from Alpha Insights, Axiom, Baxter, GLG, groupH, Guidepoint Global, Janssen, Merrimack, Medscape, Numab, Trieza Therapeutics, Molecular Match, Presagia Inc., OncoResponse, outside the submitted work. MA, SG, XC, MGi, and NN are employees of Novartis; MA, SG, XC, and NN also own stock in Novartis. TMK reports research grant from AZ, outside the submitted work. All remaining authors have declared no conflicts of interest.
Références
J Clin Oncol. 2017 Feb;35(4):412-420
pubmed: 27937096
Pathol Oncol Res. 2009 Dec;15(4):651-8
pubmed: 19381876
Clin Lung Cancer. 2018 Jul;19(4):e441-e463
pubmed: 29631966
Clin Cancer Res. 2013 Apr 15;19(8):2240-7
pubmed: 23470965
J Clin Oncol. 2013 Mar 10;31(8):1089-96
pubmed: 23401458
J Thorac Oncol. 2019 Sep;14(9):1666-1671
pubmed: 31228623
J Clin Oncol. 2016 Mar 1;34(7):721-30
pubmed: 26729443
Proc Natl Acad Sci U S A. 2007 Dec 26;104(52):20932-7
pubmed: 18093943
J Thorac Oncol. 2016 Sep;11(9):1493-502
pubmed: 27343443
Sci Transl Med. 2011 Mar 23;3(75):75ra26
pubmed: 21430269
J Thorac Oncol. 2012 Feb;7(2):331-9
pubmed: 22198430
Cancer Sci. 2020 Feb;111(2):536-547
pubmed: 31778267
J Thorac Oncol. 2010 May;5(5):591-6
pubmed: 20150826
Cancer Discov. 2017 Jun;7(6):596-609
pubmed: 28336552
Cancers (Basel). 2014 Jul 22;6(3):1540-52
pubmed: 25055117
Cancer Discov. 2015 Aug;5(8):850-9
pubmed: 25971938
Science. 2007 May 18;316(5827):1039-43
pubmed: 17463250
Clin Cancer Res. 2011 Nov 15;17(22):7127-38
pubmed: 21918175
J Clin Oncol. 2013 Nov 10;31(32):4105-14
pubmed: 24101053
Clin Cancer Res. 2014 Mar 15;20(6):1666-75
pubmed: 24493831
Cancer Res. 2006 Jan 1;66(1):283-9
pubmed: 16397241
Transl Lung Cancer Res. 2016 Dec;5(6):695-708
pubmed: 28149764
Clin Cancer Res. 2015 Feb 15;21(4):907-15
pubmed: 25492085
J Clin Oncol. 2009 Apr 1;27(10):1667-74
pubmed: 19255323
J Thorac Oncol. 2009 Jan;4(1):5-11
pubmed: 19096300
J Clin Oncol. 2018 Nov 1;36(31):3101-3109
pubmed: 30156984