Precursor Lesions and Prognostic Factors in Primary Peritoneal Serous Carcinoma
Bibliographic record
Abstract
Primary peritoneal serous carcinoma (PPSC) is uncommon and precursor lesions and prognostic factors are incompletely understood or described. Charts of 22 women with PPSC were reviewed for clinical and pathology data. Glass slides were reviewed for areas of PPSC, ovarian surface epithelium (OSE), ovarian cortical inclusion cysts (OCICs), tubal epithelial atypia (TEA), and serous tubal intraepithelial carcinoma (STIC). p53 and p16 immunohistochemical staining was scored and expression between the sites was compared. PPSC outcome was correlated with biomarker expression and clinicopathologic variables. p53 and p16 scores were significantly higher among PPSC and tubes than OSE and OCICs. Approximately 64% of PPSC, 46% of fallopian tubes, and none of the OSE overexpressed both biomarkers. OCICs were more frequently negative. Tubal pathologies of STIC, TEA and/or p53 signatures were present in approximately 46% of PPSC cases and the association with tubal p53 overexpression was significant. Statistically significant associations between tubal pathologies, OSE and OCICs biomarker expression profiles and their PPSC expression profiles did not occur. The median overall survival was 53 months and low-grade tumors had a better prognosis (P=0.02). A role for p53 and p16 overexpression in the formation of some PPSC, and p53 overexpression in the generation of precursor tubal pathology was identified. The high frequency of tubal pathology overexpressing p53 and low frequency of OSE and OCICs expressing either biomarker highlights a possible precursor role for the tube in some PPSC. Tumor grade was the only significant prognostic factor.
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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 | 0.000 |
| 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 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".