Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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RNA-Seq reveals an unprecedented complexity of the neuroblastoma transcriptome and is suitable for clinical endpoint prediction [microarray]

ABSTRACT: We generated gene expression profiles from 498 primary neuroblastomas using RNA-Seq and microarrays. We sought to systematically evaluate the capability of RNA deep-sequencing (RNA-Seq)-based classification for clinical endpoint prediction in comparison to microarray-based ones. The neuroblastoma cohort was randomly divided into training and validation sets, and 360 predictive models on six clinical endpoints were generated and evaluated. While prediction performances did not differ considerably between the two technical platforms, the RNA-Seq data processing pipelines, or feature levels (i.e., gene, transcript, and exon junction levels), RNA-Seq models based on the AceView database performed best on most endpoints. Collectively, our study reveals an unprecedented complexity of the neuroblastoma transcriptome, and provides guidelines for the development of gene expression-based predictive classifiers using high-throughput technologies. Sample clinical characteristics definitions: dataset: Expression data set used for classification training (1) or validation (2) Sex: M = male; F= female age at diagnosis: the age in days at diagnosis mycn status: Amplification status of the MYCN proto-oncogene (amplified = 1, no amplification = 0; no information = N/A) high risk: Clinically considered as high-risk neuroblastoma (yes=1, no= 0) INSS stage: disease stage according to International Neuroblastoma Staging System (INSS) (1, 2, 3, 4 and 4S) class label: Maximally divergent disease courses - unfavorable (= 1): patient died despite intensive chemotherapy, favorable (=0): patient survived without chemotharapy for at least 1000 days post diagnosis; not applicable (N/A) progression: Occurrence of a tumor progression event (yes=1; no=0) death from disease: Occurrence of death from the disease (yes=1; no=0) Gene expression of 498 neuroblastoma samples was quantified by RNA sequencing as well as by microarray analyses in order to understand the neuroblastoma transcriptome and predict clinical endpoints.

ORGANISM(S): Homo sapiens

SUBMITTER: Leming Shi

PROVIDER: E-GEOD-49710 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Neuroblastoma is the most common extra-cranial malignancy in childhood and accounts for approximately 15% of childhood cancer deaths. Amplification of N-Myc in neuroblastoma is associated with aggressive disease and predicts for poor prognosis. Novel therapeutic approaches are therefore essential to improving patient outcomes in this setting. The histone deacetylases are known to interact with N-Myc and regulate numerous cellular processes, including differentiation in neuroblastoma. We therefore investigated the antitumor activity of the histone deacetylase inhibitor, panobinostat in the setting of N-Myc amplified neuroblastoma using the TH-MYCN murine model. Continuous treatment of tumor bearing TH-MYCN transgenic mice with panobinostat for 9 weeks led to a significant improvement in survival as compared to mice treated with vehicle, or continuous treatment with panobinostat for a three week period. Panobinostat induced rapid tumor regression with no regrowth observed during the treatment period. Tumor response was associated with an initial apoptosis phenotype mediated via up-regulation of BMF and BIM. When treated was stopped at three weeks 100% of mice relapsed with aggressive neuroblastoma. Differentiation of neuroblastoma into benign ganglioneuroma, with a characteristic increase in S100 expression and reduction of N-Myc expression, was observed in mice treated for nine weeks, resulting in a sustained remission on 90% of mice treated. RNA-sequencing analysis of tumors from treated animals confirmed significant up-regulation of gene pathways associated with apoptosis and differentiation as early as 24 hours after treatment. Together our data demonstrate the potential of panobinostat as a therapeutic strategy for high-risk neuroblastoma patients. Eight homozygous TH-MYCN mice bearing neuroblastomas were treated with either 5mg/kg panobinostat (4 animals) or vehicle (4 animals) for 24hr (two doses) and tumours harvested 4hr post the second dose.

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RNA-Seq reveals an unprecedented complexity of the neuroblastoma transcriptome and is suitable for clinical endpoint prediction [microarray]

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