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Pediatric Acute Myeloid Leukemia
St. Jude Cloud
Data Resource:  St. Jude Cloud
Point of Contact:  
Clay McLeod ; Jinghui Zhang,  
Project

About This Dataset
Genomic characterization of pediatric patients with acute myeloid leukemia (AML) has led to the discovery of somatic mutations with prognostic implications. Although gene-expression profiling can differentiate subsets of pediatric AML, its clinical utility in risk stratification remains limited. Here, we evaluate gene expression, pathogenic somatic mutations, and outcome in a cohort of pediatric patients with a spectrum of pediatric myeloid-related acute leukemias for biological subtype discovery.
Core Data Elements
Number of Cases
132
Case Sex
Female (67); Male (65)
Case Age At Diagnosis
0 to 4 years (40); 5 to 9 years (21); 10 to 14 years (42); 15 to 19 years (27); 20 to 24 years (2)
Case Race
Black or African American (1); White (2); Not Reported (129)
Case Ethnicity
Not Hispanic or Latino (3); Not Reported (129)
Case Disease Diagnosis
Acute Myeloid Leukemia (126); Acute Myeloid Leukemia; Acute Myeloid Leukemia, KMT2A rearrangement (4); Acute Myeloid Leukemia; Acute Myeloid Leukemia, NUP98 rearrangement (2)
Case Tumor Site
Not Reported (132)
Number of Samples
275
Sample Assay Method
RNA Sequencing (402); Whole Exome Sequencing (1,048); Whole Genome Sequencing (744)
Additional Data Elements
DATA REPOSITORY
Grant Information
R01CA132946
Genomics of AML Prognosis
R01CA138744
Tyrosine kinase inhibitors for the treatment of childhood AML
Published In
https://doi.org/10.1158/2643-3230.bcd-21-0049
SAMPLE TYPE
Diagnosis (133);  
Germline (142);  
Charts
Female (67); Male (65)
67Female