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Adolescents and Young Adults (AYA) with Acute Myeloid Leukemia (AML) Have Increased Treatment-Related Mortality with Similar Outcomes -- a Report from the Children's Oncology Group Trials AAML03P1 and AAML0531

2014· article· en· W2979825973 on OpenAlexaff
Keith J. August, Richard Aplenc, Lillian Sung, Susana C. Raimondi, Betsy Hirsch, John Horan, Todd A. Alonzo, Robert B. Gerbing, Yi-Cheng Wang, Samir B. Kahwash, Amy Heerema‐McKenney, Soheil Meshinchi, Alan S. Gamis

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineInternal medicinePopulationInduction chemotherapyChemotherapyAdverse effectChemotherapy regimenOncologyPediatrics

Abstract

fetched live from OpenAlex

Abstract Background: AYA patients with cancer comprise a unique and understudied population with higher treatment-related toxicity than younger children. Objective: To describe the outcome of AYA patients with AML treated with intensive chemotherapy and GO. Methods: AYA patients (ages 16-21) on Children’s Oncology Group (COG) trials AAML03P1 and AAML0531 were analyzed and compared to younger patients. Both trials included patients with newly diagnosed AML. Differences in disease characteristics, treatment response, treatment-related mortality (TRM) and relapse risk (RR) were compared. Patients received either 5 chemotherapy courses or 3 followed by stem cell transplant (SCT) dependent on donor availability alone in 03P1, and risk stratification and donor availability in 0531. On AAML0531, patients with t(8;21) or inv(16) were considered low risk and did not receive SCT. High risk patients had adverse cytogenetics (-7, -5/5q-), high FLT3-ITD HAR (>0.4) or slow response with >15% marrow disease after induction 1. High risk patients received SCT if any donor was available. All other patients were intermediate risk and received SCT if a matched family donor was available. GO (3 mg/m2/dose) was administered to all patients on AAML03P1 while patients on AAML0531 were randomized to treatment with or without GO. Patients scheduled to receive GO received one dose on induction 1, day 6, and for patients that did not proceed to SCT, a second dose was given on intensification 2, day 7. Results: A total of 1350 patients 21 years old and younger were studied. Significantly different characteristics of AYA compared to younger patients are presented in Table 1, whereas gender, race, ethnicity, t(8;21) and inv(16) were similar between age groups. Table 1: Significant differences by age Age < 16 Years (n=1144) Age 16-21 Years (n=206) p value Normal Cytogenetics 225 (20.5%) 70 (36.5%) <0.001 11q23/MLL rearrangement 256 (23.3%) 22 (11.5%) <0.001 FLT3-ITD high allelic ratio 146 (14.3%) 37 (20%) 0.047 CEBPα mutation 46 (4.8%) 17 (9.4%) 0.012 NPM mutation 58 (6%) 23 (12.8%) 0.001 Death before remission 25 (2.4%) 5 (2.5%) 0.803 CR after Induction I 826 (74.1%) 165 (82.1%) 0.015 MRD negative after Induction I 572 (68.3%) 123 (76.4%) 0.042 5 year EFS and OS from study entry was 44.2% and 60.0% for AYA patients compared to 50.2% and 64.8% for younger patients (p=NS). AYA patients had significantly higher TRM when compared to younger patients: 13.3% vs. 7.3% from study entry (p=0.005) primarily due to death in remission, 12.4% vs. 5.6% (p=0.004). Despite similar 5 yr relapse rates after achieving remission, 38.8% vs, 36.7%, 5 yr DFS (48.8% vs. 57.7%, p=0.058) and OS (63.7% vs. 70.9%, p=0.067) from end of induction 2 trended worse for AYA patients, reflective of the increased treatment-related death in remission. AYA patients that received GO combined with chemotherapy had similar EFS and OS compared to those treated without GO (Figure 1). TRM in AYA patients treated with GO was significantly higher compared to younger patients (15.5% vs. 8.6%, p=0.014). In younger patients, while GO added to chemotherapy did not result in improved OS, a significant improvement in EFS was seen. For these patients, the decrease in the relapse rate was not offset by an increased TRM as was seen in AYA patients (Table 2). Table 2. Differences in outcomes by use of GO GO No GO p value AYA patients (16-21 years) n=137 n=69 5 year OS 60.8% 58.5% 0.682 5 year EFS 44.3% 44.9% 0.754 5 year TRM 15.5% 8.7% 0.21 5 year RR* 36.7% 42.5% 0.262 Younger patients (<16 years) n=706 n=438 5 year OS 65.5% 63.7% 0.580 5 year EFS 52.8% 46.0% 0.018 5 year TRM 8.6% 5.3% 0.045 5 year RR* 32.9% 42.6% <0.001 *In CR patients (AYA GO n=114; no GO n=59; <16y GO n=577, no GO 356) SCT outcomes by age group revealed similar results with increased TRM among AYA SCT recipients (n=37) compared to younger SCT recipients (n=172) (18.9% v 7.8%, p=0.027) and resulted in a lower 5 yr DFS (50.1% v 62.7%, p=0.214) despite similar RR (31% v 29.5%, p=0.854). Conclusion: AYA patients on these studies experienced lower OS and EFS when compared to younger patients. The favorable impacts of GO and SCT were abrogated in AYA patients due to higher TRM negating the improved RR with their use. In the AYA population, further focus upon reducing TRM is needed in order to achieve similar benefits. Figure 1. EFS by age group and GO use Figure 1. EFS by age group and GO use A report from the Children’s Oncology Group Disclosures No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.016
GPT teacher head0.291
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations8
Published2014
Admission routes1
Has abstractyes

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