Anthocyanidins inhibit epithelial–mesenchymal transition through a TGFβ/Smad2 signaling pathway in glioblastoma cells
Why this work is in the frame
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Bibliographic record
Abstract
Epidemiological studies have convincingly demonstrated that diets rich in fruits and vegetables play an important role in preventing cancer due to their polyphenol content. Among polyphenols, the anthocyanidins are known to possess anti-inflammatory, cardioprotective, anti-angiogenic, and anti-carcinogenic properties. Despite the well-known role of transforming growth factor-β (TGF-β) in high grade gliomas, the impact of anthocyanidins on TGF-β-induced epithelial-mesenchymal transition (EMT), a process that allows benign tumor cells to infiltrate surrounding tissues, remains poorly understood. The objective of this study is to investigate the impact of anthocyanidins such as cyanidin (Cy), delphinidin (Dp), malvidin (Mv), pelargonidin (Pg), and petunidin (Pt) on TGF-β-induced EMT and to determine the mechanism(s) underlying such action. Human U-87 glioblastoma (U-87 MG) cells were treated with anthocyanidins prior to, along with or following the addition of TGF-β. We found that anthocyanidins differently affected TGF-β-induced EMT, depending on the treatment conditions. Dp was the most potent EMT inhibitor through its inhibitory effect on the TGF-β Smad and non-Smad signaling pathways. These effects altered expression of the EMT mesenchymal markers fibronectin and Snail, as well as markedly reducing U-87 MG cell migration. Our study highlights a new action of anthocyanidins against EMT that supports their beneficial health and chemopreventive effects in dietary-based strategies against cancer. © 2016 Wiley Periodicals, Inc.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it