Relapse Following Initial Remission and Subsequent Outcome for Children with Relapsed Acute Myeloid Leukemia on the AAML0531 Phase III Study of Gemtuzumab Ozogamicin: A Report from the Children's Oncology Group
Bibliographic record
Abstract
Abstract Introduction: The Children's Oncology Group (COG) conducted a randomized, Phase III study evaluating Gemtuzumab Ozogamicin (GO), a humanized anti-CD33 antibody, for children with de novo AML. This analysis describes longer term outcomes for patients assigned to GO as well as relapse risk factors and subsequent outcome for patients experiencing relapse after AAML0531 therapy. Methods: AAML0531 enrolled 1,022 evaluable patients ages 0-29 to receive either standard five-course chemotherapy with or without 2 doses of GO. All high risk and those intermediate risk patients with family donors received stem cell transplant rather than the last 2 chemotherapy cycles and the 2nd GO dose. Analysis of characteristics impacting cumulative incidence to relapse and overall survival from relapse were performed (data cutoff 3/31/16). Results: Updated outcome analyses demonstrated GO improved 5 year (yr) event-free survival (EFS) of 51.4 ± 4.5% vs 48.5 ± 3.2% p=0.055, but no benefit in 5 yr overall survival (OS), 64.9 ± 4.4% v 64.1 ± 3.1% p=0.406. A 5-yr cumulative incidence to relapse (REL) from complete remission (CR) (N= 849) was seen in 37.8% of patients, with significantly less among those receiving GO vs no-GO (33.6% vs 42.2% p=0.01). In Univariate analysis, children with NPM and CEPBA mutations, low risk cytogenetics, and higher CD33 expression had lower relapse risk (RR). Those with extramedullary disease (EMD) at diagnosis, FLT3/ITD mutations, CNS3 disease, and minimal residual disease at end of induction 1 and 2 predicted higher RR (Table 1). Multivariate analysis determined that EMD at diagnosis (HR 1.68, 95% CI 1.10-2.56, p=0.016) and minimal residual disease (MRD) at end of induction 1 (EOI1) (HR 1.61, 95% CI 1.13-2.30, p= 0.008) predicted significantly higher RR, while low risk cytogenetics predicted lower RR (HR 0.48 95% CI 0.33-0.70, p<0.001). The 5 yr OS from REL (n=318) for all patients on study was 32.5% with no advantage to those receiving GO in de novo therapy (30.0 ± 8.1% vs 34.4 ± 7.3% no-GO, p=NS). GO did have impact on 180 day OS from REL (74 ± 6.3% v 64 ± 6.2% p= 0.018), however, impact was lost by 1yr ( GO-52 ± 7.3% v No GO 51.6 ± 6.5%). Among all patients, those with REL <180 day from first CR had dismal prognosis, while those with REL > 1 yr from first CR had significantly better 5-yr OS after REL (Table 2). Conclusions: AAML0531 previously reported GO significantly improves EFS by reducing RR when given to children with de novo AML. This cumulative analysis updates prognostic factors influencing RR and subsequent impact upon OS after REL. EMD at diagnosis and MRD at EOI1 are significantly predictive of relapse risk in multivariate analysis while those with low risk cytogenetics have significantly lower incidence of relapse. While GO significantly improves the 5 yr incidence of relapse from first remission, it does not impact 5-yr OS after first relapse. GO does improve 180-day OS after first relapse, but this impact loses significance at 1 yr post REL. Overall survival is significantly impacted by the length of 1st CR, with worst prognosis for those relapsing within 180 days. Work is ongoing to define other risk factors for altered OS. Disclosures No relevant conflicts of interest to declare.
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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) | 0.001 | 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".