Increased skin carcinogenesis in caspase-activated DNase knockout mice
Bibliographic record
Abstract
Caspase-activated DNase (CAD), also called DNA fragmentation factor (DFF), is the enzyme responsible for DNA fragmentation during apoptosis, a hallmark of programmed cell death. CAD/DFF has been shown to suppress radiation-induced carcinogenesis by preventing genomic instability in cells. In this study, we have investigated the role of CAD in chemical carcinogenesis using CAD-null mice and two-stage model of skin carcinogenesis. After topical treatment of mouse skin with dimethylbenz[a]anthracene (DMBA) as an initiator and 12-O-tetradecanoylphorbol-13-acetate (TPA) as a promoting agent, there was a 4-fold increase in the number of papillomas per mouse and 50.8% increase in the incidence of papilloma formation in the CAD knockout mice compared with wild-type littermates. The papillomas in CAD-null mice grew faster and reached larger sizes. These data indicate that loss of CAD function enhances tumorigenesis induced by a chemical carcinogen in the DMBA/TPA two-stage model of skin carcinogenesis in mice.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".