Combined Effects of Tumor Promoters and Serum on Proliferin mRNA Induction: A Biomarker Sensitive to Saccharin, 2,3,7,8-Tcdd, and Other Compounds at Minimal Concentrations Promoting C3H/10T1/2 Cell Transformation
Bibliographic record
Abstract
Increases in proliferin (PLF) gene family mRNA abundance and promotional effects in cell transformation assays are paired responses that follow exposures to diverse chemical and physical agents in the C3H/10T1/2 in vitro model of multi-stage carcinogenesis. This study measured PLF mRNA abundance changes over 1 to 3 d in response to several types of promoters that were previously unassessed for this effect. Saccharin is a known promoter of cell transformation in C3H/10T1/2 cell cultures, but unlike 12-O-tetradecanoylphorbol 13-acetate (TPA) or mezerein, PLF mRNA abundance increases were inconsistently detected following simple addition of saccharin to the culture medium. Consistent effects occurred when pretreatments with promoting concentrations of saccharin or sodium saccharin (1-13 mM) were combined with subsequent additions of serum or complete medium changes. When added at or near their lowest observed effect levels (LOELs) for transformation, other promoters of 10T1/2 cells such as formaldehyde (50-100 microM), diethylstilbesterol (DES) (0.5-30 microM), and 2,3,7,8-tetrachlorodibenzo-p-dioxin (2,3,7,8-TCDD) (4-40 pM) were shown to be inducers of both basal and serum-induced PLF mRNA levels. Acetaldehyde (300-900 microM) was comparable to formaldehyde as an inducer. In contrast to these various promoters, pretreatment with phenobarbital or methanol, both non-promoters in these cells, did not affect serum-induced PLF mRNA levels at concentrations up to 3 mM and 2 M, respectively. The published values for the LOELs of 17 promoters of cell transformation and the LOELs determined to date for PLF mRNA induction were highly correlated over a 1 billion - fold concentration range. The response of PLF mRNA is a short-term marker sensitive to the active concentration ranges of diverse chemical agents with promotional activity in C3H/10T1/2 cell transformation system.
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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".