Early stage uterine papillary serous carcinoma of the endometrium
Bibliographic record
Abstract
BACKGROUND: Uterine papillary serous carcinoma (UPSC) is an aggressive subtype of endometrial cancer, behaving like ovarian epithelial cancers and having a predilection for transperitoneal relapse. Within this subtype of uterine cancers, predictors of outcome and the role of adjuvant therapies have not been firmly established, to the authors' knowledge. METHODS: Between 1985-1995, 78 patients who had International Federation of Gynecology and Obstetrics (FIGO) Stage I, II, or IIIa UPSC (based on positive washings only) were seen at the British Columbia Cancer Agency. During this time, the authors had a policy of offering adjuvant pelvic, paraaortic and whole-abdominal radiotherapy (WART) to these patients. Fifty-eight patients received adjuvant WART, and 20 received lesser or no adjuvant therapy. The authors undertook a retrospective analysis of pathology with quantification of the percentage of papillary serous component (% PSC) and p53 expression. Pathology was retrieved and reviewed on 62 patients; p53 staining was performed on blocks from the hysterectomy specimen in 46 cases. Pathologic parameters, stage, and adjuvant therapy were correlated with clinical outcome in a multivariate analysis. RESULTS: Median follow-up was 52 months (3-139 mos) and the 5-year disease-specific survival rate was 66.2%. The 58 patients who received adjuvant WART had a significantly better 5-year disease-specific survival than those 20 patients who did not, 74.9% versus 41.3% (P = 0.04). Multivariate analysis showed that % PSC and p53 were not significant predictors of outcome for early stage UPSC. Of the factors examined, only FIGO stage and WART significantly predicted improved outcome (P = 0.02 and 0.04, respectively). CONCLUSIONS: The current study demonstrated a significant difference in the outcomes of patients who had FIGO Stage I compared with Stage II UPSC. In the current series of patients, the authors were not able to predict outcome based on % PSC or p53 expression. The current study results with WART were promising, and WART merits further study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".