Increased colon tumor susceptibility in azoxymethane treated CEABAC transgenic mice
Bibliographic record
Abstract
Human carcinoembryonic antigen (CEA), a widely used clinical tumor marker, and its close relative, CEACAM6, are often overexpressed in many cancers. This correlation suggests a possible instrumental role in tumorigenesis, which is supported by extensive results obtained with several in vitro systems. The implication that these results could also apply in vivo warrants investigation. Since mice do not possess homologs of the glycophosphatidyl inositol (GPI)-anchored CEACAM family genes CEA, CEACAM6 and CEACAM7, we have constructed transgenic mice harboring a 187 kb portion of the human CEACAM family gene locus contained in a bacterial artificial chromosome (CEABAC) that includes genes coding for CEA, CEACAM6 and CEACAM7. In this study, we treated the CEABAC mice and their wild-type littermates with azoxymethane (AOM) in order to induce colon tumor formation. At 20 weeks post-treatment, the CEABAC transgenics showed more than a 2-fold increase in mean tumor load relative to their wild-type littermates. Cell surface expression of CEA and CEACAM6 increased by 2- and 20-fold, respectively, in colonocytes from the tumors relative to colonocytes from non-AOM treated transgenics and a de-regulated spatial pattern of CEA/CEACAM6 expression was found in 'normal' crypts adjacent to the tumors, thus mimicking closely the situation in human colon tumorigenesis. A modestly increased incidence of beta-catenin mutations also observed in the AOM-induced CEABAC tumors. These results show that expression of the human GPI-anchored CEACAM family genes predisposes mice to acquire and/or retain essential mutations necessary for sporadic colon tumor development.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".