Fatty acid synthase is a potential molecular target for the chemoprevention of breast cancer
Bibliographic record
Abstract
The purpose of this investigation was to determine whether fatty acid synthase (FAS) is a potential molecular target for the chemoprevention of breast cancer by evaluating the effect of the FAS inhibitor triclosan on rat mammary carcinogenesis. At 50 days of age, 60 female Sprague-Dawley rats received 50 mg/kg methylnitrosourea (MNU) i.p. to initiate mammary carcinogenesis. One week later, half of the rats were fed triclosan at a level of 1000 p.p.m. in an AIN-93G diet for the remainder of the experiment. The other 30 control rats were fed an AIN-93G diet without triclosan. Twelve weeks after MNU treatment, 70% of control rats had mammary adenocarcinomas compared with only 43.3% of the triclosan group (P < 0.05). The control rats had an average of 2.7 +/- 0.3 tumors/rat compared with 1.8 +/- 0.3 in the triclosan group (P < 0.05). Western analysis showed that the tumors in the control rats expressed high levels of FAS. Immunohistochemistry showed that sections of tumors that stained strongly for FAS also showed strong staining for proliferating cell nuclear antigen. Furthermore, at biologically relevant dose levels, triclosan inhibited the activity of FAS in mammary tumor homogenates. These results indicate that triclosan suppresses rat mammary carcinogenesis by inhibiting FAS and suggest that FAS is a promising molecular target for breast cancer chemoprevention.
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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".