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Focal DNA Copy Number Changes in Neuroblastoma Target MYCN Regulated Genes

Abstract

Neuroblastoma is an embryonic tumor arising from immature sympathetic nervous system cells. Recurrent genomic alterations include MYCN and ALK amplification as well as recurrent patterns of gains and losses of whole or large partial chromosome segments. A recent whole genome sequencing effort yielded no frequently recurring mutations in genes other than those affecting ALK. However, the study further stresses the importance of DNA copy number alterations in this disease, in particular for genes implicated in neuritogenesis. Here we provide additional evidence for the importance of focal DNA copy number gains and losses, which are predominantly observed in MYCN amplified tumors. A focal 5 kb gain encompassing the MYCN regulated miR-17~92 cluster as sole gene was detected in a neuroblastoma cell line and further analyses of the array CGH data set demonstrated enrichment for other MYCN target genes in focal gains and amplifications. Next we applied an integrated genomics analysis to prioritize MYCN down regulated genes mediated by MYCN driven miRNAs within regions of focal heterozygous or homozygous deletion. We identified RGS5, a negative regulator of G-protein signaling implicated in vascular normalization, invasion and metastasis, targeted by a focal homozygous deletion, as a new MYCN target gene, down regulated through MYCN activated miRNAs. In addition, we expand the miR-17~92 regulatory network controlling TGFß signaling in neuroblastoma with the ring finger protein 11 encoding gene RNF11, which was previously shown to be targeted by the miR-17~92 member miR-19b. Taken together, our data indicate that focal DNA copy number imbalances in neuroblastoma (1) target genes that are implicated in MYCN signaling, possibly selected to reinforce MYCN oncogene addiction and (2) serve as a resource for identifying new molecular targets for treatment.

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References
1.
Huang G, Song H, Wang R, Han X, Chen L . The relationship between RGS5 expression and cancer differentiation and metastasis in non-small cell lung cancer. J Surg Oncol. 2011; 105(4):420-4. DOI: 10.1002/jso.22033. View

2.
Mestdagh P, Fredlund E, Pattyn F, Schulte J, Muth D, Vermeulen J . MYCN/c-MYC-induced microRNAs repress coding gene networks associated with poor outcome in MYCN/c-MYC-activated tumors. Oncogene. 2009; 29(9):1394-404. DOI: 10.1038/onc.2009.429. View

3.
Azmi P, Seth A . The RING finger protein11 binds to Smad4 and enhances Smad4-dependant TGF-beta signalling. Anticancer Res. 2009; 29(6):2253-63. View

4.
Gustafson W, Weiss W . Myc proteins as therapeutic targets. Oncogene. 2010; 29(9):1249-59. PMC: 2904682. DOI: 10.1038/onc.2009.512. View

5.
Hellemans J, Mortier G, De Paepe A, Speleman F, Vandesompele J . qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biol. 2007; 8(2):R19. PMC: 1852402. DOI: 10.1186/gb-2007-8-2-r19. View