Brentuximab vedotin in combination with chemotherapy for pediatric patients with ALK+ ALCL: results of COG trial ANHL12P1
Bibliographic record
Abstract
Approximately 30% of pediatric patients with anaplastic large cell lymphoma (ALCL) relapse. Although brentuximab vedotin has demonstrated excellent activity in ALCL, it has not been used for newly diagnosed patients. Children's Oncology Group (COG) trial ANHL12P1 determined the toxicity and efficacy of brentuximab vedotin with chemotherapy in children with newly diagnosed nonlocalized anaplastic large cell lymphoma kinase (ALK)+/CD30+ ALCL. From 2013 to 2017, 68 children with ALK+ ALCL were enrolled and received brentuximab vedotin. All patients received 5-day prophase, followed by 6 cycles of chemotherapy. Brentuximab vedotin was given on day 1 of each of the 6 cycles. Of the 67 patients eligible for toxicity evaluation, 66 completed all 6 cycles of chemotherapy, resulting in 399 evaluable cycles. There were no toxic deaths, no case of progressive multifocal leukoencephalopathy syndrome, and no case of grade 3 or 4 neuropathy. The 2-year event-free survival (EFS) was 79.1% (95% confidence interval [CI], 67.2-87.1). The 2-year overall survival (OS) was 97.0% (95% CI, 88.1-99.2). Fourteen patients relapsed. Eleven of 14 (79%) relapses occurred within 10 months of diagnosis; only 1 patient (1.5%) relapsed during therapy. Quantitative reverse transcription polymerase chain reaction for NPM-ALK at baseline (minimal disseminated disease) demonstrated prognostic value for EFS (P = .0004). Overall, the addition of brentuximab vedotin to standard chemotherapy does not add significant toxicity or alter the desired interval between cycles. The addition of brentuximab vedotin prevented relapses during therapy, and the OS and EFS estimates compare favorably with results obtained using conventional chemotherapy. This trial was registered at www.clinicaltrials.gov as #NCT01979536.
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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 | 0.002 | 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 | 0.000 | 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 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".