Literature DB >> 30674502

Capmatinib (INC280) Is Active Against Models of Non-Small Cell Lung Cancer and Other Cancer Types with Defined Mechanisms of MET Activation.

Sabrina Baltschukat1, Barbara Schacher Engstler1, Alan Huang2, Huai-Xiang Hao2, Angela Tam2, Hui Qin Wang2, Jinsheng Liang2, Matthew T DiMare2, Hyo-Eun Carrie Bhang2, Youzhen Wang2, Pascal Furet3, William R Sellers2, Francesco Hofmann1, Joseph Schoepfer3, Ralph Tiedt4.   

Abstract

PURPOSE: The selective MET inhibitor capmatinib is being investigated in multiple clinical trials, both as a single agent and in combination. Here, we describe the preclinical data of capmatinib, which supported the clinical biomarker strategy for rational patient selection. EXPERIMENTAL
DESIGN: The selectivity and cellular activity of capmatinib were assessed in large cellular screening panels. Antitumor efficacy was quantified in a large set of cell line- or patient-derived xenograft models, testing single-agent or combination treatment depending on the genomic profile of the respective models.
RESULTS: Capmatinib was found to be highly selective for MET over other kinases. It was active against cancer models that are characterized by MET amplification, marked MET overexpression, MET exon 14 skipping mutations, or MET activation via expression of the ligand hepatocyte growth factor (HGF). In cancer models where MET is the dominant oncogenic driver, anticancer activity could be further enhanced by combination treatments, for example, by the addition of apoptosis-inducing BH3 mimetics. The combinations of capmatinib and other kinase inhibitors resulted in enhanced anticancer activity against models where MET activation co-occurred with other oncogenic drivers, for example EGFR activating mutations.
CONCLUSIONS: Activity of capmatinib in preclinical models is associated with a small number of plausible genomic features. The low fraction of cancer models that respond to capmatinib as a single agent suggests that the implementation of patient selection strategies based on these biomarkers is critical for clinical development. Capmatinib is also a rational combination partner for other kinase inhibitors to combat MET-driven resistance. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 30674502     DOI: 10.1158/1078-0432.CCR-18-2814

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  29 in total

Review 1.  Management of Non-small Cell Lung Cancer Patients with MET Exon 14 Skipping Mutations.

Authors:  Caiwen Huang; Qihua Zou; Hui Liu; Bo Qiu; Qiwen Li; Yongbin Lin; Ying Liang
Journal:  Curr Treat Options Oncol       Date:  2020-04-18

Review 2.  Oncogenic mechanism-based pharmaceutical validation of therapeutics targeting MET receptor tyrosine kinase.

Authors:  Hang-Ping Yao; Xiang-Min Tong; Ming-Hai Wang
Journal:  Ther Adv Med Oncol       Date:  2021-04-03       Impact factor: 8.168

Review 3.  Glioblastoma: Current Status, Emerging Targets, and Recent Advances.

Authors:  Amandeep Thakur; Chetna Faujdar; Ram Sharma; Sachin Sharma; Basant Malik; Kunal Nepali; Jing Ping Liou
Journal:  J Med Chem       Date:  2022-07-05       Impact factor: 8.039

Review 4.  Small-molecule inhibitors, immune checkpoint inhibitors, and more: FDA-approved novel therapeutic drugs for solid tumors from 1991 to 2021.

Authors:  Qing Wu; Wei Qian; Xiaoli Sun; Shaojie Jiang
Journal:  J Hematol Oncol       Date:  2022-10-08       Impact factor: 23.168

5.  Foretinib can overcome common on-target resistance mutations after capmatinib/tepotinib treatment in NSCLCs with MET exon 14 skipping mutation.

Authors:  Toshio Fujino; Kenichi Suda; Takamasa Koga; Akira Hamada; Shuta Ohara; Masato Chiba; Masaki Shimoji; Toshiki Takemoto; Junichi Soh; Tetsuya Mitsudomi
Journal:  J Hematol Oncol       Date:  2022-06-11       Impact factor: 23.168

Review 6.  NSCLC as the Paradigm of Precision Medicine at Its Finest: The Rise of New Druggable Molecular Targets for Advanced Disease.

Authors:  Anna Michelotti; Marco de Scordilli; Elisa Bertoli; Elisa De Carlo; Alessandro Del Conte; Alessandra Bearz
Journal:  Int J Mol Sci       Date:  2022-06-17       Impact factor: 6.208

Review 7.  HGF/c-MET pathway in cancer: from molecular characterization to clinical evidence.

Authors:  Jianjiang Fu; Xiaorui Su; Zhihua Li; Ling Deng; Xiawei Liu; Xuancheng Feng; Juan Peng
Journal:  Oncogene       Date:  2021-06-18       Impact factor: 9.867

Review 8.  Lung Cancer with MET exon 14 Skipping Mutation: Genetic Feature, Current Treatments, and Future Challenges.

Authors:  Toshio Fujino; Kenichi Suda; Tetsuya Mitsudomi
Journal:  Lung Cancer (Auckl)       Date:  2021-05-20

9.  Overcoming MET-Dependent Resistance to Selective RET Inhibition in Patients with RET Fusion-Positive Lung Cancer by Combining Selpercatinib with Crizotinib.

Authors:  Ezra Y Rosen; Melissa L Johnson; Alexander Drilon; Geoffrey R Oxnard; Sarah E Clifford; Romel Somwar; Jennifer F Kherani; Jieun Son; Arrien A Bertram; Monika A Davare; Eric Gladstone; Elena V Ivanova; Dahlia N Henry; Elaine M Kelley; Mika Lin; Marina S D Milan; Binoj C Nair; Elizabeth A Olek; Jenna E Scanlon; Morana Vojnic; Kevin Ebata; Jaclyn F Hechtman; Bob T Li; Lynette M Sholl; Barry S Taylor; Marc Ladanyi; Pasi A Jänne; S Michael Rothenberg
Journal:  Clin Cancer Res       Date:  2020-10-20       Impact factor: 13.801

Review 10.  Secondary Resistant Mutations to Small Molecule Inhibitors in Cancer Cells.

Authors:  Abdulaziz B Hamid; Ruben C Petreaca
Journal:  Cancers (Basel)       Date:  2020-04-09       Impact factor: 6.639

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