Caveolin‐1 overexpression is associated with aggressive prostate cancer recurrence
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Caveolin-1 protein suppresses apoptotic cell death in prostate cancer. The objectives of this study were to investigate the association of Caveolin-1 expression with established features of prostate cancer as well as overall and aggressive disease recurrence in patients treated with radical prostatectomy (RP). METHODS: Caveolin-1 immunostaining was performed on a tissue microarray containing prostatectomy specimen cores from 232 consecutive patients treated with RP for clinically localized prostatic adenocarcinoma. Caveolin-1 over-expression was defined as more than 50% of cells staining positively for Caveolin-1. Patients were categorized as having features of aggressive disease recurrence if they had a positive metastatic work-up, post-recurrence PSA doubling time less than 10 months, and/or failure to respond to local salvage radiation therapy. RESULTS: Seventy patients (30.2%) exhibited over-expression of Caveolin-1. Caveolin-1 over-expression was associated with higher pathologic Gleason sum (P=0.038) and higher pre-operative PSA level (P=0.024). Patients with Caveolin-1 over-expression were at increased risk of PSA recurrence after surgery (P=0.023) in univariate but not in standard post-operative multivariate analysis. However, patients with Caveolin-1 over-expression were at increased risk of aggressive prostate cancer recurrence in both univariate and multivariate analysis (P<0.001 and P=0.001, respectively). CONCLUSIONS: Over-expression of Caveolin-1 was associated with established features of prostate cancer and aggressive PSA recurrence. Caveolin-1 might help identify patients at high risk of developing aggressive prostate cancer recurrence, thus allowing selection of patients who might benefit from early systemic therapeutic intervention.
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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 it