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Integrated genomic analyses identify ARID1A and ARID1B alterations in the childhood cancer neuroblastoma.

ABSTRACT: Neuroblastomas are tumors of peripheral sympathetic neurons and are the most common solid tumor in children. To determine the genetic basis for neuroblastoma, we performed whole-genome sequencing (6 cases), exome sequencing (16 cases), genome-wide rearrangement analyses (32 cases) and targeted analyses of specific genomic loci (40 cases) using massively parallel sequencing. On average, each tumor had 19 somatic alterations in coding genes (range of 3-70). Among genes not previously known to be involved in neuroblastoma, chromosomal deletions and sequence alterations of the chromatin-remodeling genes ARID1A and ARID1B were identified in 8 of 71 tumors (11%) and were associated with early treatment failure and decreased survival. Using tumor-specific structural alterations, we developed an approach to identify rearranged DNA fragments in sera, providing personalized biomarkers for minimal residual disease detection and monitoring. These results highlight the dysregulation of chromatin remodeling in pediatric tumorigenesis and provide new approaches for the management of patients with neuroblastoma.

SUBMITTER: Sausen M

PROVIDER: S-EPMC3557959 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature

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Integrated genomic analyses identify ARID1A and ARID1B alterations in the childhood cancer neuroblastoma.

Sausen Mark M Leary Rebecca J RJ Jones Siân S Wu Jian J Reynolds C Patrick CP Liu Xueyuan X Blackford Amanda A Parmigiani Giovanni G Diaz Luis A LA Papadopoulos Nickolas N Vogelstein Bert B Kinzler Kenneth W KW Velculescu Victor E VE Hogarty Michael D MD

Nature genetics 20121202 1

Neuroblastomas are tumors of peripheral sympathetic neurons and are the most common solid tumor in children. To determine the genetic basis for neuroblastoma, we performed whole-genome sequencing (6 cases), exome sequencing (16 cases), genome-wide rearrangement analyses (32 cases) and targeted analyses of specific genomic loci (40 cases) using massively parallel sequencing. On average, each tumor had 19 somatic alterations in coding genes (range of 3-70). Among genes not previously known to be i ...[more]

PMID: 23202128

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Project description:According to the National Comprehensive Cancer Network and the American Society of Clinical Oncology, the standard treatment for pancreatic cancer (PC) is gemcitabine and fluorouracil. Other chemotherapeutic agents have been widely combined. However, drug resistance remains a huge challenge, leading to the ineffectiveness of cancer therapy. Therefore, we are trying to discover new treatments for PC by utilizing genomic information to identify PC-associated genes as well as drug target genes for drug repurposing. Genomic information from a public database, the cBio Cancer Genomics Portal, was employed to retrieve the somatic mutation genes of PC. Five functional annotations were applied to prioritize the PC risk genes: Kyoto Encyclopedia of Genes and Genomes; biological process; knockout mouse; Gene List Automatically Derived For You; and Gene Expression Omnibus Dataset. DrugBank database was utilized to extract PC drug targets. To narrow down the most promising drugs for PC, CMap Touchstone analysis was applied. Finally, ClinicalTrials.gov and a literature review were used to screen the potential drugs under clinical and preclinical investigation. Here, we extracted 895 PC-associated genes according to the cBioPortal database and prioritized them by using five functional annotations; 318 genes were assigned as biological PC risk genes. Further, 216 genes were druggable according to the DrugBank database. CMap Touchstone analysis indicated 13 candidate drugs for PC. Among those 13 drugs, 8 drugs are in the clinical trials, 2 drugs were supported by the preclinical studies, and 3 drugs are with no evidence status for PC. Importantly, we found that midostaurin (targeted PRKA) and fulvestrant (targeted ESR1) are promising candidate drugs for PC treatment based on the genomic-driven drug repurposing pipelines. In short, integrated analysis using a genomic information database demonstrated the viability for drug repurposing. We proposed two drugs (midostaurin and fulvestrant) as promising drugs for PC.

Dataset Information

Integrated genomic analyses identify ARID1A and ARID1B alterations in the childhood cancer neuroblastoma.

Publications

Integrated genomic analyses identify ARID1A and ARID1B alterations in the childhood cancer neuroblastoma.

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