≥99% for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
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Storage & shipping
Store at -20°C Ships Ice chest + Ice pads Check lot-specific COA for exact specifications.
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Quality documents
SDS, COA, datasheet, and spec sheet available for download. Lot-specific COA accessible via lot number lookup.
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Literature proof
Cited in 0 peer-reviewed publications across chromatography, organic synthesis, and cross-coupling reactions.
Overview
PF-06952229 is a potent, selective and orally active TGFbR1 inhibitor. PF-06952229 specifically binds to TGFbR1 and prevents TGFbR1-mediated signal transduction. PF-06952229 is a promising antineoplastic agent for the study solid tumors, especifically metastatic breast cancer
In Vivo
PF-06952229 (oral gavage; 30 mg/kg; twice daily; 21 days) combines with Palbociclib 21 days results in an improved inhibition of pSMAD2 in the MCF7 ER + xenograft breast cancer tumor model. This combination also leads to a significant increase in survival relative to PF-06952229 monotherapy . MCE has not independently confirmed the accuracy of these methods. They are for reference only. Animal Model: MCF-7 ER + HER2-xenograft breast cancer tumor model Dosage: 30 mg/kg Administration: Oral gavage; twice daily; 44 days Result: Resulted in an increase in tumor growth inhibition when combined with Palbociclib.
PF-06952229 is a potent, selective and orally active TGFbR1 inhibitor. PF-06952229 specifically binds to TGFbR1 and prevents TGFbR1-mediated signal transduction.xa0PF-06952229 is a promising antineoplasticxa0agent for the study solid tumors, especifically
Storage
Store at -20°C
Shipped In
Ice chest + Ice pads
This product requires cold chain shipping. Ground and other economy services are not available.
This compound belongs to the class of organic compounds known as phenylpyridines. These are polycyclic aromatic compounds containing a benzene ring linked to a pyridine ring through a CC or CN 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.
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