Coexpression network analysis identifies transcriptional modules associated with genomic alterations in neuroblastoma

Document Type

Article

Publication Date

6-1-2018

Abstract

Neuroblastoma is a highly complex and heterogeneous cancer in children. Acquired genomic alterations including MYCN amplification, 1p deletion and 11q deletion are important risk factors and biomarkers in neuroblastoma. Here, we performed a co-expression-based gene network analysis to study the intrinsic association between specific genomic changes and transcriptome organization. We identified multiple gene coexpression modules which are recurrent in two independent datasets and associated with functional pathways including nervous system development, cell cycle, immune system process and extracellular matrix/space. Our results also indicated that modules involved in nervous system development and cell cycle are highly associated with MYCN amplification and 1p deletion, while modules responding to immune system process are associated with MYCN amplification only. In summary, this integrated analysis provides novel insights into molecular heterogeneity and pathogenesis of neuroblastoma. This article is part of a Special Issue entitled: Accelerating Precision Medicine through Genetic and Genomic Big Data Analysis edited by Yudong Cai & Tao Huang.

Identifier

85039721834 (Scopus)

Publication Title

Biochimica Et Biophysica Acta Molecular Basis of Disease

External Full Text Location

https://doi.org/10.1016/j.bbadis.2017.12.020

e-ISSN

1879260X

ISSN

09254439

PubMed ID

29247836

First Page

2341

Last Page

2348

Issue

6

Volume

1864

This document is currently not available here.

Share

COinS