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Genetic landscape of pediatric Osteosarcoma

We performed whole-genome sequencing of 37 paired tumor/normal OS genomes and analyzed somatically acquired single nucleotide variations (SNVs), insertion/deletions, structural variations and copy number variations in the cancer genomes

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
EGAD00001000159 Illumina HiSeq 2000 37
EGAD00001001053 Illumina HiSeq 2000 27
EGAD00001001432 Illumina HiSeq 2000 1337
EGAD00001001433 Illumina HiSeq 2000 906
EGAD00001003154 Illumina HiSeq 2000 14
Publications Citations
Assessing telomeric DNA content in pediatric cancers using whole-genome sequencing data.
Genome Biol 13: 2012 R113
23
Recurrent somatic structural variations contribute to tumorigenesis in pediatric osteosarcoma.
Cell Rep 7: 2014 104-112
452
Computel: computation of mean telomere length from whole-genome next-generation sequencing data.
PLoS One 10: 2015 e0125201
39
The Childhood Solid Tumor Network: A new resource for the developmental biology and oncology research communities.
Dev Biol 411: 2016 287-293
47
Activation of PTHrP-cAMP-CREB1 signaling following p53 loss is essential for osteosarcoma initiation and maintenance.
Elife 5: 2016 e13446
23
Genome-Informed Targeted Therapy for Osteosarcoma.
Cancer Discov 9: 2019 46-63
216
The Clonal Evolution of Metastatic Osteosarcoma as Shaped by Cisplatin Treatment.
Mol Cancer Res 17: 2019 895-906
24
The landscape of coding RNA editing events in pediatric cancer.
BMC Cancer 21: 2021 1233
6
Comprehensive analysis of mutational signatures reveals distinct patterns and molecular processes across 27 pediatric cancers.
Nat Cancer 4: 2023 276-289
17
Evolving copy number gains promote tumor expansion and bolster mutational diversification.
Nat Commun 15: 2024 2025
7