PTEN Deletion and Concomitant c-Myc Activation Do Not Lead to Tumor Formation in Pancreatic β Cells
Bibliographic record
Abstract
Phosphatase and tensin homologue (PTEN) deleted on chromosome 10 is a dual-specific phosphatase and a potent antagonist of the phosphoinositide 3-kinase signaling pathway. Although first discovered as a tumor suppressor, emerging evidence supports PTEN as a potential therapeutic target for diabetes. PTEN deletion in beta cells leads to increased beta cell mass and protection from streptozotocin-induced diabetes. Importantly, PTEN deletion does not lead to tumor formation in beta cells. To further assess the potential tumorigenic role of PTEN, we tested the biological role of PTEN in the context of activation of the proto-oncogene c-Myc. We generated and characterized beta cell-specific PTEN knock-out mice expressing an inducible c-Myc transgene in beta cells. Surprisingly, we found that PTEN loss did not confer protection from the overwhelming apoptosis and diabetes development seen with c-Myc activation. Importantly, despite the combined effect of the loss of a tumor suppressor and activation of an oncogene in beta cells, there was no evidence of tumor development with sustained c-Myc activation.
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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 | 0.000 | 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) | 0.002 | 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".