Transforming Growth Factor β Receptor Type II Inactivation Promotes the Establishment and Progression of Colon Cancer
Bibliographic record
Abstract
Deregulation of members of the transforming growth factor (TGF)-beta signaling pathway occurs often in colon cancers and is believed to affect the formation of primary colon cancer. Mutational inactivation of TGFBR2 is the most common genetic event affecting the TGF-beta signaling pathway and occurs in approximately 20-30% of all colon cancers. By mating Fabpl(4xat-132) Cre mice with Tgfbr2(flx/flx) mice, we have generated a mouse model that is null for Tgfbr2 in the colonic epithelium, and in this model system, we have assessed the effect of loss of TGF-beta signaling in vivo on colon cancer formation induced by azoxymethane (AOM). We have observed a significant increase in the number of AOM-induced adenomas and adenocarcinomas in the Fabpl(4xat-132) Cre Tgfbr2(flx/flx) mice compared with Tgfbr2(flx/flx) mice, which have intact TGF-beta receptor type II (TGFBR2) in the colon epithelium, and we have found increased proliferation in the neoplasms occurring in the Fabpl(4xat-132) Cre Tgfbr2(flx/flx) mice. These results implicate the loss of TGF-beta-mediated growth inhibition as one of the in vivo mechanisms through which TGFBR2 inactivation contributes to colon cancer formation. Thus, we have demonstrated that loss of TGFBR2 in colon epithelial cells promotes the establishment and progression of AOM-induced colon neoplasms, providing evidence from an in vivo model system that TGFBR2 is a tumor suppressor gene in the colon.
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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".