Probing into the chemopreventive properties of synthetic 1,3,6-tri-O-galloyl-α-D-glucose (α-TGG) against glioblastoma and triple-negative breast cancer-derived cell models
Bibliographic record
Abstract
pro-inflammatory and epithelial-to-mesenchymal transition (EMT) cues, triggered by phorbol 12-myristate 13-acetate (PMA), concanavalin A (ConA), tumor necrosis factor (TNF) α, and transforming growth factor (TGF) β, were used to screen α-TGG in two highly aggressive human cancer cell models, namely the U87 glioblastoma and the MDA-MB-231 triple-negative breast cancer (TNBC)-derived cells. α-TGG dose-dependently inhibited ConA-mediated activation of the latent matrix metalloproteinase pro-MMP-2 into its active MMP-2 form as well as the ConA- and PMA-mediated cyclooxygenase (COX)-2 expression, two biomarkers of inflammation, in U87 cells. In MDA-MB-231, α-TGG inhibited PMA- and TNFα-mediated induction of pro-MMP-9, a marker of inflammation and invasive phenotype. Finally, in both cell lines, α-TGG further inhibited TGFβ-induced chemotaxis, as well as TGFβ-induced Smad2 phosphorylation and Snail expression, crucial upstream signaling pathway and downstream biomarkers associated with EMT. Collectively, we confirm that α-TGG retained potent anti-inflammatory and anti-invasive pharmacological properties which support its chemopreventive potential.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".