Comprehensive and epidemiological characterization of urachal adenocarcinoma: A pan-Canadian collaboration.
Bibliographic record
Abstract
516 Background: Urachal cancer is a rare form of urothelial cancer representing 0,1-0,2% of bladder cancers. The exact underlying cause of urachal cancer is still widely unknown and there is much speculation on multiple factors such as genetic and environmental ones that may play a role. Moreover, given the lack of treatment consensus, we proposed the first study that assesses the clinical, genetic and molecular features of this disease in Canada. Methods: This ongoing study is recruiting in Canadian centers from the year 2005 onwards. The clinical database is constructed using the hospital electronic medical file. In addition, pathological tissues are centralized for molecular and genetic analysis. Results: To this date, 15 patients were included, 12 males and 3 females. Median age was of 49 years old with a disease distribution of Stage II (4), Stage III (3) and Stage IV (4). 8/15 patients developed metastasis after initial cystectomy in the lungs (n = 7), peritoneum (n = 2), lymph nodes (n = 4), and bone (1). Median survival of all patients was 23 months. Metastatic patients after cystectomy had a shorter overall survival (OS) of 21 months compared to non-metastatic patients (OS – not reached). The majority of metastatic patients (6/8) died of their underlying malignancy. Conclusions: This study is an ongoing country-wide effort to expand knowledge of this poorly studied disease. With ongoing accrual, the clinical features will be better defined and further molecular characterization will be performed to better predict response to therapy.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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".