Structure-based design and synthesis of a novel long-chain 4''-alkyl ether derivative of EGCG as potent EGFR inhibitor: in vitro and in silico studies.
Satyam SinghRevathy SahadevanRajarshi RoyMainak BiswasPriya GhoshParimal KarAvinash SonawaneSushabhan SadhukhanPublished in: RSC advances (2022)
Herein, we report the discovery of a novel long-chain ether derivative of (-)-epigallocatechin-3-gallate (EGCG), a major green tea polyphenol as a potent EGFR inhibitor. A series of 4''-alkyl EGCG derivatives have been synthesized via regio-selectively alkylating the 4'' hydroxyl group in the D-ring of EGCG and tested for their antiproliferative activities against high (A431), moderate (HeLa), and low (MCF-7) EGFR-expressing cancer cell lines. The most potent compound, 4''-C 14 EGCG showed the lowest IC 50 values across all the tested cell lines. 4''-C 14 EGCG was also found to be significantly more stable than EGCG under physiological conditions (PBS at pH 7.4). Further western blot analysis and imaging data revealed that 4''-C 14 EGCG induced cell death in A431 cells with shrunken nuclei, nuclear fragmentation, membrane blebbing, and increased population of apoptotic cells where BAX upregulation and BCL XL downregulation were observed. In addition, autophosphorylation of EGFR and its downstream signalling proteins Akt and ERK were markedly inhibited by 4''-C 14 EGCG. MD simulation and the MM/PBSA analysis disclosed the binding mode of 4''-C 14 EGCG in the ATP-binding site of EGFR kinase domain. Taken together, our findings demonstrate that 4''-C 14 EGCG can act as a promising potent EGFR inhibitor with enhanced stability.
Keyphrases
- small cell lung cancer
- epidermal growth factor receptor
- tyrosine kinase
- cell death
- induced apoptosis
- cell cycle arrest
- signaling pathway
- cell proliferation
- ionic liquid
- squamous cell carcinoma
- high resolution
- small molecule
- anti inflammatory
- machine learning
- transcription factor
- pi k akt
- high throughput
- single cell
- molecular docking
- south africa
- endothelial cells
- binding protein
- high intensity
- big data
- papillary thyroid
- photodynamic therapy
- dna binding
- young adults