Irinotecan and temozolomide in adults with recurrent sarcoma
Bibliographic record
Abstract
Background: The combination of irinotecan and temozolomide (IT) has shown promising activity in children treated for recurrent sarcoma. This study investigates the safety and efficacy of IT chemotherapy in adults with recurrent sarcoma. Materials/Methods: A retrospective review was performed on patients with recurrent sarcoma who received IT chemotherapy from 2009-2013. Outcomes of interest were time to treatment failure (TTF) and incidence of toxicity. Results: IT chemotherapy was used in 24 patients including: Ewing’s sarcoma (EWS, n=11, 46%); non-pleomorphic rhabdomyosarcoma (RMS, n=6, 25%); desmoplastic small round cell tumor (DSRCT, n=6, 25%); and leiomyosarcoma (n=1, 4%). Median TTF was 3.0 months (range 1.6-4.4). Partial responses were observed in 4 patients (17%), stable disease in 9 patients (37%) and progressive disease in 11 patients (46%). Grade 3 hematologic toxicity was as follows: anemia (n=5, 21%); neutropenia (n=3, 12%); and thrombocytopenia (n=1, 4%). Diarrhea was reported among 12 patients (50%) and 3 patients (12%) experienced severe diarrhea requiring hospitalization. Conclusion: IT chemotherapy is tolerable with modest activity and represents a reasonable choice for adults with recurrent EWS or DSCRT. Further prospective studies aimed at this high risk population are warranted.
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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 | 0.001 | 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) | 0.000 | 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 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".