Glumetinib (SCC244) is a potent and highly selective c-Met inhibitor with an IC50 of 0.42 ± 0.02 nmol/L. Glumetinib has greater than 2,400-fold selectivity for c-Met over those 312 kinases evaluated, including the c-Met family member RON and highly homolo
Storage Temp
Store at -80°C
Shipped In
Ice chest + Ice pads
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Grade
Moligand™
Action Type
INHIBITOR
Mechanism of action
Inhibitor of MET proto-oncogene; receptor tyrosine kinase
Product Description
Information
Glumetinib (SCC244) Glumetinib (SCC244) is a potent and highly selective c-Met inhibitor with an IC50 of 0.42 ± 0.02 nmol/L. Glumetinib has greater than 2,400-fold selectivity for c-Met over those 312 kinases evaluated, including the c-Met family member RON and highly homologous kinases Axl, Mer, and TyrO3.
Targets
c-Met (Cell-free assay) 0.42 nM
In vitro
SCC244 strongly inhibits c-Met phosphorylation as well as AKT and ERK phosphorylation in EBC-1, MKN-45 cells harboring an amplified MET gene and U87MG cells responsive to HGF stimulation. SCC244 elicits selective and profound effects against c-Met-driven cancer cell proliferation. It inhibits c-Met-dependent neoplastic phenotypes of metastasis and angiogenesis.
In vivo
In xenografts of human tumor cell lines or non-small cell lung cancer and hepatocellular carcinoma patient-derived tumor tissue driven by MET aberration, SCC244 administration exhibits robust antitumor activity at the well-tolerated doses. In addition, the in vivo antitumor activity of SCC244 involves the inhibition of c-Met downstream signaling via a mechanism of combined antiproliferation and antiangiogenic effects.
This compound belongs to the class of organic compounds known as pyrazolylpyridines. These are compounds containing a pyrazolylpyridine skeleton, which consists of a pyrazole linked (not fused) to a pyridine by a bond.
External Descriptors
Not available
1. Djoumbou Feunang Y, Eisner R, Knox C, Chepelev L, Hastings J, Owen G, Fahy E, Steinbeck C, Subramanian S, Bolton E, Greiner R, and Wishart DS. ClassyFire: Automated Chemical Classification With A Comprehensive, Computable Taxonomy. Journal of Cheminformatics, 2016, 8:61.
