Study

The genomic landscape of pediatric acute lymphoblastic leukemia

Study ID Alternative Stable ID Type
EGAS00001005250 Other

Study Description

Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer and arises from B- or T-lineage lymphocyte precursors. ALL comprises dozens of subtypes, and genomic analyses have largely been performed within these subtypes. Here we analyze pediatric ALL genomes across all subtypes, including 768 whole genomes, 1,729 exomes, and 1,889 transcriptomes in 2,754 patients. Most ALL subtypes harbor 4 or more driver alterations per sample, similar to adult cancers, despite low mutation burdens. Hyperdiploid B-ALL copy gains are likely acquired early and synchronously, with copy gains occurring before ultraviolet-induced mutations. By contrast, ultraviolet-induced mutations precede copy gains in iAMP21 B-ALL. Overall, we identified 378 putative ALL driver genes. Most driver alterations vary in prevalence across ALL subtypes, with B-ALL enriched for Ras and B-lineage-related alterations, and T-ALL enriched for PI3K, JAK, and cell cycle alterations. Most B-ALL (54.3%) and T-ALL (51.2%) samples bear at least one rare driver gene alteration (present in less than 2% of samples), including ... (Show More)

Study Datasets 5 datasets.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001008134
RNAseq data set, panALL study, 16 samples
Illumina HiSeq 2500,Illumina NovaSeq 6000 16
EGAD00001008193
Exome sequencing of panALL exome data set, total of 1948 samples
Illumina HiSeq 2500 598
EGAD00001008268
panALL exome sequencing, data set2, 700 samples
Illumina HiSeq 2500 700
EGAD00001008290
panALL exome data set3, 650 samples
Illumina HiSeq 2500 650
EGAD00001008600
WGS files for Genomic Landscape ALL paper titled "The genomic landscape of pediatric acute lymphoblastic leukemia"
Illumina HiSeq 2000 278

Who archives the data?

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