Inhibitory Impact of the Amino Benzoic Derivative DAB-2-28 on the Process of Epithelial-Mesenchymal Transition in Human Breast Cancer Cells
Bibliographic record
Abstract
Macrophage-mediated inflammation is proposed to be involved in the epithelial-mesenchymal transition (EMT) of different types of cancers. This makes macrophage-derived inflammatory factors a prime target for developing new treatments. This study aims to demonstrate the therapeutic potential and mechanism of action of DAB-2-28, a novel small molecule derived from aminobenzoic acid, in the treatment of breast cancer. The luminal MCF-7 and the triple-negative MDA-MB-231 cancer cell lines used in this study represent, respectively, a breast cancer whose differentiation state is related to the epithelial phenotype of the mammary gland, and a breast cancer expressing a highly aggressive mesenchymal phenotype. In MCF-7 cells, soluble factors from macrophage-conditioned media (MØ-CM) induce a characteristic morphology of mesenchymal cells with an increase in the expression of Snail1, a mesenchymal marker, opposed to a decrease in the expression of E-cadherin, an epithelial marker. Although our studies demonstrated that DAB-2-28 does not affect the differential expression of Snail1 and E-cadherin, DAB-2-28 negatively regulates the different responses of MCF-7 cells to MØ-CM by decreasing a) clonogenic growth; b) invasion and migration capacities; c) MMP9 expression and gelatinase activity; and d) NFkB, STAT3, AKT, and SMAD2 protein phosphorylation. Moreover, differential expression of Snail1 and E-cadherin in MCF-7 cells was also induced by the cytokines TNFa and TGFb1, alone or in combination, and the StemXvivo® EMT Inducing Media reagent. DAB-2-28 affects the response of MCF-7 cells to these various EMT inducers by inhibiting the phosphorylation of NFkB, SMAD2 and/or CREB proteins. Finally, DAB-2-28 also decreases the macrophage- and cytokine-induced invasion and migration capacities of MDA-MB-231 cells, probably via an inhibition of MMP9 activity and the phosphorylation of NFkB, STAT3, AKT, SMAD2, and CREB proteins. We propose that the ability of DAB-2-28 to prevent cancer cells from acquiring EMT-related protumor properties could be exploited in a clinical setting to block disease progression to a metastatic form and thus improve the survival rate of breast cancer patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".