Functional targeting of the TGF-βR1 kinase domain and downstream signaling: A role for the galloyl moiety of green tea-derived catechins in ES-2 ovarian clear cell carcinoma
Bibliographic record
Abstract
The galloyl moiety is a specific structural feature which dictates, in part, the chemopreventive properties of diet-derived catechins. In ovarian cancer cells, galloylated catechins were recently demonstrated to target the transforming growth factor (TGF)-β-mediated control of the epithelial-mesenchymal transition process. The specific impact of the galloyl moiety on such signaling, however, remains poorly understood. Here, we questioned whether the sole galloyl moiety interacted with TGF-β-receptors to alter signal transduction and chemotactic migratory response in an ES-2 serous carcinoma-derived ovarian cancer cell model. In line with the LogP and LogS values of the tested molecules, we found that TGF-β-induced Smad-3 phosphorylation and cell migration were optimally inhibited, provided that the lateral aliphatic chain of the galloyl moiety reached 8-10 carbons. Functional inhibition of the TGF-β receptor (TGF-βR1) kinase activity was supported by surface plasmon resonance assays showing direct physical interaction between TGF-βR1 and the galloyl moiety. In silico molecular docking analysis predicted a model where galloylated catechins may bind TGF-βR1 within its adenosine triphosphate binding cleft in a site analogous to that of Galunisertib, a selective adenosine triphosphate-mimetic competitive inhibitor of TGF-βR1. In conclusion, our data suggest that the galloyl moiety of the diet-derived catechins provides specificity of action to galloylated catechins by positioning them within the kinase domain of the TGF-βR1 in order to antagonize TGF-β-mediated signaling that is required for ovarian cancer cell invasion and metastasis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".