Conditional Deletion of Eaf1 Induces Murine Prostatic Intraepithelial Neoplasia in Mice
Bibliographic record
Abstract
ELL-associated factor 1 is a transcription elongation factor that shares significant homology and functional similarity to the androgen-responsive prostate tumor suppressor ELL-associated factor 2. EAF2 is frequently down-regulated in advanced prostate cancer and Eaf2 deletion in the mouse induced the development of murine prostatic intraepithelial neoplasia. Here we show that similar to EAF2, EAF1 is frequently down-regulated in advanced prostate cancer. Co-downregulation of EAF1 and EAF2 occurred in 40% of clinical specimens with Gleason score >7. We developed and characterized a murine model of prostate-epithelial specific deletion of Eaf1 in the prostate and crossed it with our previously generated mouse with conventional deletion of Eaf2. The prostates of Eaf1 deletion mice displayed murine prostatic intraepithelial neoplasia lesions with increased proliferation and inflammation. Combined deletion of Eaf1 and Eaf2 in the murine model induced an increased incidence in mPIN lesions characterized by increased proliferation and CD3+ T cells and CD19+ B cells infiltration compared to individual deletion of either Eaf1 or Eaf2 in the murine prostate. These results suggest that EAF1 may play a tumor suppressive role in the prostate. Cooperation between EAF1 and EAF2 may be important for prostate maintaining prostate epithelial homeostasis, and concurrent loss of these two tumor suppressors may promote prostate tumorigenesis and progression.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".