Fenbendazole promotes TP53 activation and selective cancer cell inhibition with limited impact on normal dermal fibroblasts 3665
Bibliographic record
Abstract
Abstract Description Introduction Fenbendazole, a benzimidazole carbamate traditionally used as an anthelmintic, has recently shown potential anticancer properties. This study evaluates its cytotoxic effects on cancer cell lines and selectivity by assessing its impact on normal human dermal fibroblasts (HDFa). Methods Cancer cell lines, including breast, prostate, and melanoma, were treated with fenbendazole at varying concentrations. Cell viability was assessed using the Trypan Blue exclusion assay. Quantitative PCR measured TP53 expression post-treatment. Parallel experiments were conducted on HDFa cells. Results Fenbendazole caused a dose-dependent viability decrease across all cancer cell lines. Breast and prostate cells were sensitive at lower doses, while melanoma cells needed higher doses for similar effects. Treated cancer cells showed upregulated TP53 expression, suggesting apoptotic pathway activation. HDFa cells showed minimal viability reduction, suggesting a favorable selectivity profile. Conclusions Fenbendazole effectively inhibits cancer cell proliferation, likely via TP53 activation, while showing minimal cytotoxicity to HDFa cells, warranting further investigation into its therapeutic potential. Topic Categories Tumor Immunology: Checkpoints, Prevention, and Treatment (TIPT)
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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".