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Gene Co-Expression Networks Restructured Gene Fusion in Rhabdomyosarcoma Cancers.

Authors :
Helm, Bryan R.
Zhan, Xiaohui
Pandya, Pankita H.
Murray, Mary E.
Pollok, Karen E.
Renbarger, Jamie L.
Ferguson, Michael J.
Han, Zhi
Ni, Dong
Zhang, Jie
Huang, Kun
Source :
Genes. Sep2019, Vol. 10 Issue 9, p665-665. 1p.
Publication Year :
2019

Abstract

Rhabdomyosarcoma is subclassified by the presence or absence of a recurrent chromosome translocation that fuses the FOXO1 and PAX3 or PAX7 genes. The fusion protein (FOXO1-PAX3/7) retains both binding domains and becomes a novel and potent transcriptional regulator in rhabdomyosarcoma subtypes. Many studies have characterized and integrated genomic, transcriptomic, and epigenomic differences among rhabdomyosarcoma subtypes that contain the FOXO1-PAX3/7 gene fusion and those that do not; however, few investigations have investigated how gene co-expression networks are altered by FOXO1-PAX3/7. Although transcriptional data offer insight into one level of functional regulation, gene co-expression networks have the potential to identify biological interactions and pathways that underpin oncogenesis and tumorigenicity. Thus, we examined gene co-expression networks for rhabdomyosarcoma that were FOXO1-PAX3 positive, FOXO1-PAX7 positive, or fusion negative. Gene co-expression networks were mined using local maximum Quasi-Clique Merger (lmQCM) and analyzed for co-expression differences among rhabdomyosarcoma subtypes. This analysis observed 41 co-expression modules that were shared between fusion negative and positive samples, of which 17/41 showed significant up- or down-regulation in respect to fusion status. Fusion positive and negative rhabdomyosarcoma showed differing modularity of co-expression networks with fusion negative (n = 109) having significantly more individual modules than fusion positive (n = 53). Subsequent analysis of gene co-expression networks for PAX3 and PAX7 type fusions observed 17/53 were differentially expressed between the two subtypes. Gene list enrichment analysis found that gene ontology terms were poorly matched with biological processes and molecular function for most co-expression modules identified in this study; however, co-expressed modules were frequently localized to cytobands on chromosomes 8 and 11. Overall, we observed substantial restructuring of co-expression networks relative to fusion status and fusion type in rhabdomyosarcoma and identified previously overlooked genes and pathways that may be targeted in this pernicious disease. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734425
Volume :
10
Issue :
9
Database :
Academic Search Index
Journal :
Genes
Publication Type :
Academic Journal
Accession number :
138961673
Full Text :
https://doi.org/10.3390/genes10090665