<b><i>PTEN</i></b> deletion and heme oxygenase‐1 overexpression cooperate in prostate cancer progression and are associated with adverse clinical outcome
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Bibliographic record
Abstract
Overexpression of the pro-survival protein heme oxygenase-1 (HO-1) and loss of the pro-apoptotic tumour suppressor PTEN are common events in prostate cancer (PCA). We assessed the occurrence of both HO-1 expression and PTEN deletion in two cohorts of men with localized and castration-resistant prostate cancer (CRPC). The phenotypic cooperation of these markers was examined in preclinical and clinical models. Overall, there was a statistically significant difference in HO-1 epithelial expression between benign, high-grade prostatic intraepithelial neoplasia (HGPIN), localized PCA, and CRPC (p < 0.0001). The highest epithelial HO-1 expression was noted in CRPC (2.00 ± 0.89), followed by benign prostate tissue (1.49 ± 1.03) (p = 0.0003), localized PCA (1.20 ± 0.95), and HGPIN (1.07 ± 0.87) (p < 0.0001). However, the difference between HGPIN and PCA was not statistically significant (p = 0.21). PTEN deletions were observed in 35/55 (63.6%) versus 68/183 (37.1%) cases of CRPC and localized PCA, respectively. Although neither HO-1 overexpression nor PTEN deletions alone in localized PCA showed a statistically significant association with PSA relapse, the combined status of both markers correlated with disease progression (log-rank test, p = 0.01). In a preclinical model, inhibition of HO-1 by shRNA in PTEN-deficient PC3M cell line and their matched cells where PTEN is restored strongly reduced cell growth and invasion in vitro and inhibited tumour growth and lung metastasis formation in mice compared to cells where only HO-1 is inhibited or PTEN is restored. In summary, we provide clinical and experimental evidence for cooperation between epithelial HO-1 expression and PTEN deletions in relation to the PCA patient's outcome. These findings could potentially lead to the discovery of novel therapeutic modalities for advanced PCA.
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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 | 0.001 | 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