Small cell carcinoma of the genitourinary tract: A 10-year single institution experience.
Bibliographic record
Abstract
312 Background: Small cell carcinoma (SCC) of the genitourinary (GU) tract is rare and there is no standard treatment strategy for managing these patients. The objective of this study is to report the clinical experience and management of patients with SCC of the GU tract, treated in the Cross Cancer Institute, Edmonton, AB, Canada from 1999 to 2009. Methods: A retrospective chart review of all patients diagnosed with SCC of the GU tract between 1999 to 2009 was undertaken. Data was collected on demographics, clinical and pathological characteristics, and patient outcomes. Results: Fifty-eight patients were identified with primary sites as follows: urinary bladder (UB) 35 (60%), prostate 17 (29%) and upper urinary tract (UUT) 6 (11%). Mean age for the entire group was 68 years; 12/58 were female and 46/58 were male. Sixty-six percent (37/58) had pure SCC; the rest had mixed histology. Seventy percent (41/58) were positive for at least one neuroendocrine marker. Overall, 27/58 had limited stage disease, 25/58 had extensive disease and six were unknown. Treatment of limited stage patients was 10/27 (37%) concurrent chemotherapy with radiation, 5/27 (19%) surgery +/- adjuvant chemotherapy, 5/27 (19%) chemotherapy alone, 2/27 (7%) radiation alone and 5/27 (19%) supportive care only. For extensive stage patients, 5/25 (20%) received chemotherapy alone, 3/25 (12%) received radiation alone, 4/25 (16%) received RT and chemotherapy, 4/25 (16%) surgery alone and 9/25 (36%) supportive care only. One patient with limited stage disease received prophylactic cranial irradiation. Despite this, only one patient in the entire cohort presented with brain metastases as the site of initial relapse. Median survival for the entire cohort was 24 months (28 months for limited stage disease and 7 months for extensive). Prostate patients tended to do worse, with a survival of only eight months. Conclusions: SCC of the GU tract is aggressive with an overall poor prognosis. As there is no standard of care for these patients, they are treated according to local protocols. Further efforts should be made to develop more effective treatments and the role of PCI should be investigated in the setting of a clinical trial, in conjunction with other extrapulmonary SCCs.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".