Intact PTEN Expression by Immunohistochemistry is Associated With Decreased Survival in Advanced Stage Ovarian/Primary Peritoneal High-grade Serous Carcinoma
Bibliographic record
Abstract
Ovarian high-grade serous carcinoma is an aggressive malignancy with poor prognosis. Optimal surgical debulking and tumor sensitivity to platinum-based chemotherapy are 2 well-established prognostics for this tumor type. Molecular markers that identify more clinically aggressive tumors would potentially allow for the development of individualized treatment options. PTEN is a key negative regulator of the PI3K signaling pathway. Loss of PTEN expression in endometrial carcinoma is associated with endometrioid histology; women with endometrioid tumors have a better prognosis than those with nonendometrioid tumors. The prognostic and predictive value for PTEN has not been effectively explored in ovarian/peritoneal high-grade serous carcinoma. PTEN immunohistochemistry was assessed in 126 women with Stage III, high-grade serous carcinoma of the ovary/peritoneum treated with surgery and then a platinum-based regimen. Compared with PTEN-negative or PTEN-reduced tumors, positive PTEN immunohistochemistry, detected in 58% of tumors, was associated with decreased pS6 and increased PTEN mRNA levels. Positive PTEN expression was independent of surgical debulking status or platinum sensitivity. PTEN-positive tumors were associated with significantly decreased recurrence-free survival. Importantly, the devised PTEN immunohistochemistry scoring system was reproducible among pathologists.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".