Targeting Hedgehog Signalling as a Drug Therapy in Aggressive Fibromatosis
Bibliographic record
Abstract
Aggressive fibromatosis is a benign fibroproliferative tumour that can occur as a sporadic lesion or a manifestation in patients with familial syndromes, such as familial adenomatous polyposis. Tumours are characterized by the stabilization of β-catenin and the activation of β-catenin-mediated transcription. Current treatment results are far from ideal, and recurrence rates are high. As a result, there remains a need for more effective therapeutic strategies. In this work, we demonstrate the effect of hedgehog signalling inhibition on aggressive fibromatosis tumour development and β-catenin modulation. We found that hedgehog inhibition decreased cell viability and proliferation as well as total β-catenin levels in human aggressive fibromatosis tumour cells in vitro. Furthermore, following hedgehog inhibition in Apc+/Apc1638N aggressive fibromatosis mouse model, the number and volume of the tumours formed was reduced. Together, this work suggests that hedgehog signalling inhibitor agents are potential candidates to effectively manage aggressive fibromatosis.
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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) | 0.002 | 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".