Intensive Induction Chemotherapy without Methotrexate in Adult Patients with Localized Osteosarcoma: Results of the Institut Gustave-Roussy Phase II Trial
Bibliographic record
Abstract
PURPOSE: To improve outcomes in localized osteosarcoma and to reduce the duration of preoperative chemotherapy, we conducted a phase ii trial assessing the efficacy of an intensive protracted regimen without methotrexate (api-ai regimen) in adolescent and adult patients with newly diagnosed disease. PATIENTS AND METHODS: Induction chemotherapy consisted of 2 cycles (4 courses) of doxorubicin 60 mg/m(2) (days 1 and 15), cisplatin 100 mg/m(2) (day 1), and ifosfamide 5 g/m(2) (days 2 and 15). The primary endpoint was good histologic response [ghr (≤5% identifiable tumour cells)]. RESULTS: From March 1993 to March 2000, 32 patients [median age: 21 years (range: 15-49 years)] were administered 126 induction courses. The median time between chemotherapy courses was 15 days (range: 12-32 days). All but 3 patients underwent conservative surgery. Toxicity was mainly hematologic, with febrile neutropenia occurring in 35% of patients and grades 3-4 thrombocytopenia in 35%. The ghr rate was 47%. The median follow-up was 64 months (range: 30-115 months). The 5-year event-free and overall survivals were 65% [95% confidence interval (ci): 48%-79%] and 69% (95% ci: 50%-83%) respectively. Two secondary hematologic malignancies occurred: 1 acute myelocytic leukemia (M5) in a poor responder with concomitant relapse, and 1 myelodysplastic syndrome in a patient achieving ghr. CONCLUSIONS: Despite hematologic toxicity, the results observed with the api-ai regimen compare favourably with those observed during previous induction chemotherapy containing methotrexate in adult patients and the pediatric population treated at our institution. These promising results have to be validated by an ongoing national multicentre trial coordinated by the French Sarcoma Group.
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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) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".