Alexidine is a TAZ-specific small-molecule inhibitor that suppresses breast cancer invasion and metastasis
Bibliographic record
Abstract
Breast cancer (BC) is the most diagnosed malignancy in women and often progresses to distant metastasis. Unfortunately, current treatments inadequately address the clinical needs of metastatic BC (MBC) patients. This highlights the importance of developing effective therapies for MBC patients. One of the Hippo signaling transducers, transcriptional co-activator with PDZ-binding motif (TAZ), plays a major role in BC progression. Since TAZ mostly interacts with TEAD to facilitate its function, targeting TAZ-TEAD interaction may become a treatment approach for MBC patients. To identify inhibitors of TAZ-TEAD binding, we established a sensitive TR-FRET biosensor and performed an ultra-high throughput screen. Alexidine was identified as a TAZ-TEAD binding inhibitor capable of suppressing TAZ-induced migration and invasion in BC cells as well as metastasis in bone-on-a-chip and mouse models. In conclusion, we describe a robust method for screening inhibitors of TAZ-TEAD interaction, contributing to the development of effective cancer treatments.
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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 | 0.000 | 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) | 0.000 | 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".