The genetic landscape of high-risk neuroblastoma
By Trevor J Pugh, Olena Morozova, E. Attiyeh, S. Asgharzadeh, Jun S. Wei, D. Auclair, Scott L. Carter, Kristian Cibulskis, M. Hanna, Adam Kiezun and 50 more. Nature Genetics, 2013
1,115 citations recorded by the source corpus.
Neuroblastoma is a malignancy of the developing sympathetic nervous system that often presents with widespread metastatic disease, resulting in survival rates of less than 50%. To determine the spectrum of somatic mutation in high-risk neuroblastoma, we studied 240 affected individuals (cases) using a combination of whole-exome, genome and transcriptome sequencing as part of the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) initiative. Here we report a low median exonic mutation frequency of 0.60 per Mb (0.48 nonsilent) and notably few recurrently mutated genes in these tumors. Genes with significant somatic mutation frequencies included ALK (9.2% of cases), PTPN11 (2.9%), ATRX (2.5%, and an additional 7.1% had focal deletions), MYCN (1.7%, causing a recurrent p.Pro44Leu alteration) and NRAS (0.83%). Rare, potentially pathogenic germline variants were significantly enriched in ALK, CHEK2, PINK1 and BARD1. The relative paucity of recurrent somatic mutations in neuroblastoma challenges current therapeutic strategies that rely on frequently altered oncogenic drivers.
Subfields: Cancer Research, Molecular Biology, Neurology
View Paper: https://www.semanticscholar.org/paper/5e5c940bc871f7a753a41a7ea404e653fd6d27ed
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In Cancer Research
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In Molecular Biology
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In Neurology
Citations in the corpus
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- A Recurrent Mutation in Anaplastic Lymphoma Kinase with Distinct Neoepitope Conformations (2018, background): “This and other sequencing data support ALK as the target with the highest mutation rate among high-risk NBL patients (10, 12, 14).”
- ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter (2016, neutral): “Although this enabling technology found applications in many large cancer cohort studies (Yip et al. 2011; Roberts et al. 2012; Pugh et al. 2013; Ley et al. 2013; Morin et al. 2013), its large memory footprint constituted a substantial bottleneck.”