Preradiation chemotherapy with methotrexate, cisplatin, 5‐fluorouracil, and leucovorin for pediatric nasopharyngeal carcinoma
Bibliographic record
Abstract
BACKGROUND: Nasopharyngeal carcinoma (NPC) is rare in children, accounting for <1% of all cases. Treatment most commonly includes radiotherapy but long-term side effects of such treatment can produce devastating cosmetic and functional sequelae in children. Chemotherapy may help to decrease the radiotherapy dose and limit the side effects of local therapies. However, little is known regarding the chemosensitivity of NPC tumors in pediatric patients. METHODS: Patients with American Joint Committee on Cancer (AJCC) Stage I/II disease (Stratum 01) received irradiation only. Patients with AJCC Stage III/IV disease (Stratum 02) received 4 courses of preradiation chemotherapy comprising methotrexate (120 mg/m2) on Day 1, with cisplatin (100 mg/m2) 24 hours later, 5-fluorouracil 1000 mg/m2 per day as a continuous infusion for 3 days, and leucovorin 25 mg/m2 every 6 hours for 6 doses. Irradiation was given after chemotherapy and consisted of 50.4 gray (Gy) to the upper neck and 45.0 Gy to the lower neck, with a boost to the primary tumor and positive lymph nodes for a total dose of 61.2 Gy. RESULTS: One patient was enrolled in Stratum 01 and 16 evaluable patients were enrolled in Stratum 02. The median age of the patients was 13 years and 65% of the patients were black. All patients tested had evidence of Epstein-Barr virus infection. Two-thirds of the patients developed Grade 3-4 mucositis during chemotherapy. The overall response rate to induction chemotherapy was 93.7%. The overall 4-year event-free and overall survival rates (+/- the standard error) were 77%+/-12% and 75%+/-12%, respectively. CONCLUSIONS: The current study demonstrated that childhood NPC was sensitive to chemotherapy and that chemotherapy before irradiation was feasible. Future trials should investigate equivalent efficacy with a reduced radiotherapy dose.
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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 | 0.000 | 0.000 |
| 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 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".