Real-world post-relapse survival outcomes in children with Acute Myeloid Leukemia by race and ethnicity
Abstract
Abstract Introduction: Non-Hispanic Black (NHB) and Hispanic children with acute myeloid leukemia (AML) have historically had worse overall survival (OS) compared to their non-Hispanic White (NHW) peers. While our prior work demonstrated comparable risk of relapse by race/ethnicity, it remains unknown whether there are differential outcomes post-relapse which could drive OS disparities. In a large, multi-institutional real-world cohort of children with AML, we evaluated by race/ethnicity (1) post-relapse OS, and (2) potential mechanistic drivers of post-relapse outcomes including frontline treatment history and clinical features at relapse. Methods: We conducted a retrospective cohort analysis of patients in the REAL-AML cohort, a multi-institutional real-world cohort including pediatric (<19 years old) patients treated for de novo AML at 17 US institutions from 2011-2024. Patients with acute promyelocytic leukemia were excluded. This analysis was restricted to patients who experienced relapse following an initial complete remission (CR1) and who were identified as NHB, Hispanic, or NHW in the medical record. Multi-racial and other racial/ethnic groups were excluded from analyses due to small sample sizes. Kaplan Meier survival curves were generated for post-relapse OS (time elapsed between date of first relapse and death from any cause). Cox models compared the hazard of death by race/ethnicity adjusting for a priori determined factors of age at relapse, sex, and cytomolecular risk profile at relapse. We performed pairwise comparisons between NHB and Hispanic patients against NHW patients (reference group) using chi-square and Fisher's exact tests for frontline therapy characteristics (history of bacteremia/sepsis, CTCAE Grade ≥2 cardiotoxicity, dexrazoxane receipt, hematopoietic stem cell transplant [HSCT] receipt in CR1, completion of frontline therapy) and clinical characteristics at relapse (early vs. late relapse, cytomolecular risk profile, body mass index [BMI], acuity, Grade ≥2 cardiotoxicity measured by echocardiogram within 7 days of relapse). Early relapse was defined as <1 year from diagnosis. Cytomolecular risk profile was operationalized as only favorable markers vs. both favorable and unfavorable vs. neutral vs. only unfavorable. Acuity was defined as requiring ICU-level of care within initial 72 hours of relapse presentation. Results: A total of 268 patients (16.0% NHB, 29.9% Hispanic, median follow up 29.2 months) were included in the analytic cohort. Overall, the 3-year post-relapse OS was 41.0% (NHB 34.9%, Hispanic 40.0%, NHW 43.4%). In adjusted multivariable analyses, NHB patients experienced increased hazard of death (HR 1.64, 95% CI: 1.06-2.56) while Hispanic patients had similar outcomes (HR 1.14, 95% CI: 0.79-1.63) compared to NHW patients. This effect was restricted to outcomes for patients experiencing early relapse (NHB 3-year post-early relapse OS 8.7% vs. Hispanic 25.6% vs. NHW 25.3%). The incidence of early relapse was comparable across race/ethnicity (NHB 53.5%, Hispanic 53.8%, NHW 54.5%). We did not observe any statistically significant racial/ethnic differences in frontline bacteremia/sepsis, cardiotoxicity, dexrazoxane receipt, HSCT in CR1, rates of frontline therapy completion, or acuity at time of relapse. At relapse, NHB patients were more likely to have only favorable cytomolecular markers (23.8% vs. 9.8% in NHW patients, p=0.03). Compared to NHW patients (29.8%), both Hispanic (47.1%, p=0.03) and NHB (56.2%, p=0.01) patients were more likely to be overweight/obese. Seven percent of NHB patients had Grade ≥2 left ventricular systolic dysfunction on their most recent echo at relapse; this dysfunction was not observed in any of the NHW or Hispanic patients.Conclusion: NHB children with AML experience greater than 50% increased hazard of death post-relapse compared to NHW children, driven by poor outcomes after early relapse. This survival disparity occurs despite comparable rates of several major frontline therapy characteristics and overall rates of frontline therapy completion, suggesting that downstream intermediates are driving OS differences. Our data indicate potential differences in cardiovascular risk at the time of relapse, including elevated BMI and cardiac dysfunction. An expanded analysis will examine whether these differences mediate survival through re-induction regimen selection, relapse treatment response, HSCT receipt, and treatment-related mortality.
Article Details
Authors (30)
Daniel Zheng
Quynh Long Khuong
1University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics, Philadelphia, United States
Catherine Aftandilian
1Stanford University, Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford, United States
Kira Bona
5Dana-Farber Cancer Institute, Boston, United States
Alexis Boulter
2Children's Hospital of Philadelphia, Division of Oncology, Philadelphia, United States
Emi Caywood
13Nemours/Alfred I duPont Hospital for Children, Wilmington, United States
Caitlin Elgarten
University of Pennsylvania, Philadelphia
Cody Gathers
Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States
Taumoha Ghosh
6Primary Children's Hospital/University of Utah, Department of Pediatrics, Division of Pediatric Hematology/Oncology, Salt Lake City, United States
Maria Monica Gramatges
7Baylor College of Medicine, Texas Children's Hospital, Houston, United States
Meret Henry
11Children's Hospital of Michigan, Department of Pediatrics, Division of Pediatric Hematology/Oncology/BMT, Detroit, United States
Gary Hettinger
3NYU Grossman School of Medicine, Division of Biostatistics, Department of Population Health, New York, United States
Yuan-Shung Huang
8Children's Hospital of Philadelphia, Department of Biomedical and Health Informatics, Philadelphia, United States
Yimei Li
Kelly Maloney
7University of Colorado School of Medicine, Children's Hospital Colorado, Department of Pediatrics, Aurora, United States
Amir Mian
10University of Texas – Austin, Division of Pediatric Hematology/Oncology, Dell Children's Hospital, Austin, United States
Tamara Miller
11Children's Healthcare of Atlanta, Aflac Cancer and Blood Disorders Center, Atlanta, United States
Rajen Mody
4Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, MI
Regina Myers
1Children's Hospital of Philadelphia, Division of Oncology, Philadelphia, United States
José Ortiz
Alix Seif
2Children's Hospital of Philadelphia, Division of Oncology, Philadelphia, United States
Caroline Smith
Jamie Stokke
16Children's Hospital of Los Angeles, Division of Pediatric Hematology Oncology, Los Angeles, United States
Smitha Vasanna
20Arkansas Children's Hospital, Pediatric Oncology, Bone Marrow Transplant and Cellular Therapies, Little Rock, United States
Naomi Winick
Department of Pediatrics, Division of Pediatric Hematology–Oncology, Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas
Jennifer Wilkes
17University of Washington School of Medicine, Department of Pediatrics, Seattle, United States
Victor Wong
19Rady Children's Hospital San Diego, Division of Pediatric Hematology Oncology, San Diego, United States
Brian Fisher
1University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics, Philadelphia, United States
Richard Aplenc
Kelly Getz
1University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics, Philadelphia, United States