Dataset Information


Molecular Targets of Epigallocatechin-Gallate (EGCG): A Special Focus on Signal Transduction and Cancer.

ABSTRACT: Green tea is a beverage that is widely consumed worldwide and is believed to exert effects on different diseases, including cancer. The major components of green tea are catechins, a family of polyphenols. Among them, epigallocatechin-gallate (EGCG) is the most abundant and biologically active. EGCG is widely studied for its anti-cancer properties. However, the cellular and molecular mechanisms explaining its action have not been completely understood, yet. EGCG is effective in vivo at micromolar concentrations, suggesting that its action is mediated by interaction with specific targets that are involved in the regulation of crucial steps of cell proliferation, survival, and metastatic spread. Recently, several proteins have been identified as EGCG direct interactors. Among them, the trans-membrane receptor 67LR has been identified as a high affinity EGCG receptor. 67LR is a master regulator of many pathways affecting cell proliferation or apoptosis, also regulating cancer stem cells (CSCs) activity. EGCG was also found to be interacting directly with Pin1, TGFR-II, and metalloproteinases (MMPs) (mainly MMP2 and MMP9), which respectively regulate EGCG-dependent inhibition of NF-kB, epithelial-mesenchimal transaction (EMT) and cellular invasion. EGCG interacts with DNA methyltransferases (DNMTs) and histone deacetylases (HDACs), which modulates epigenetic changes. The bulk of this novel knowledge provides information about the mechanisms of action of EGCG and may explain its onco-suppressive function. The identification of crucial signalling pathways that are related to cancer onset and progression whose master regulators interacts with EGCG may disclose intriguing pharmacological targets, and eventually lead to novel combined treatments in which EGCG acts synergistically with known drugs.


PROVIDER: S-EPMC6315581 | BioStudies | 2018-01-01T00:00:00Z


REPOSITORIES: biostudies

Similar Datasets

2012-01-01 | S-EPMC3536572 | BioStudies
2010-04-20 | E-GEOD-21320 | ArrayExpress
2010-04-20 | GSE21320 | GEO
1000-01-01 | S-EPMC3561824 | BioStudies
1000-01-01 | S-EPMC4709792 | BioStudies
2015-01-01 | S-EPMC4379465 | BioStudies
2020-01-01 | S-EPMC7075996 | BioStudies
1000-01-01 | S-EPMC5552808 | BioStudies
2012-01-01 | S-EPMC3303150 | BioStudies
2018-01-01 | S-EPMC6099932 | BioStudies