Targeted Overexpression of Vav3 Oncogene in Prostatic Epithelium Induces Nonbacterial Prostatitis and Prostate Cancer
Bibliographic record
Abstract
Our previous study revealed that Vav3 oncogene is overexpressed in human prostate cancer, activates androgen receptor (AR), and stimulates growth in prostate cancer cells. The purpose of this study is to further determine the potential role of Vav3 in prostate cancer development in genetically engineered mouse model. We generated Vav3 transgenic mice by targeted overexpression of a constitutive active Vav3 in the prostatic epithelium. We found that overexpression of Vav3 led to development of mouse prostatic intraepithelial neoplasia and prostate cancer at the age of as early as 3 months. The AR signaling axis and phosphatidylinositol 3-kinase-Akt signaling were elevated in the prostate glands of Vav3 transgenic mice. In addition to prostate cancer, Vav3 transgenic mice developed significant nonbacterial chronic prostatitis in the prostate gland with notable infiltration of lymphomononuclear cells (monocytes, lymphocytes, and plasma cells), which was associated with elevated incidence of prostate cancer. DNA microarray and signaling pathway analysis revealed that the top diseases and disorders were inflammatory diseases and cancer of the prostate gland in Vav3 transgenic mice. In vitro analysis showed that overexpression of Vav3 in prostate cancer cells enhanced nuclear factor-kappaB (NF-kappaB) activity, implicating an underlying mechanism of innate inflammatory response induced by elevated Vav3 activity. These data showed that Vav3 overexpression in the prostate epithelium enhanced both the AR signaling axis and NF-kappaB-mediated pathway, which potentially contributed to the development of nonbacterial prostatitis and prostate cancer.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".