MicroRNA and gene co-expression networks characterize biological and clinical behavior of rhabdomyosarcomas.
Details
Serval ID
serval:BIB_C87A4FABF4B1
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
MicroRNA and gene co-expression networks characterize biological and clinical behavior of rhabdomyosarcomas.
Journal
Cancer letters
ISSN
1872-7980 (Electronic)
ISSN-L
0304-3835
Publication state
Published
Issued date
28/01/2017
Peer-reviewed
Oui
Volume
385
Pages
251-260
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
Rhabdomyosarcomas (RMS) in children and adolescents are heterogeneous sarcomas broadly defined by skeletal muscle features and the presence/absence of PAX3/7-FOXO1 fusion genes. MicroRNAs are small non-coding RNAs that regulate gene expression in a cell context specific manner. Sequencing analyses of microRNAs in 64 RMS revealed expression patterns separating skeletal muscle, fusion gene positive and negative RMS. Integration with parallel gene expression data assigned biological functions to 12 co-expression networks/modules that reassuringly included myogenic roles strongly correlated with microRNAs known in myogenesis and RMS development. Modules also correlated with clinical outcome and fusion status. Regulation of microRNAs by the fusion protein was demonstrated after PAX3-FOXO1 reduction, exemplified by miR-9-5p. MiR-9-5p levels correlated with poor outcome, even within fusion gene positive RMS, and were higher in metastatic versus non-metastatic disease. MiR-9-5p reduction inhibited RMS cell migration. Our findings reveal microRNAs in a regulatory framework of biological and clinical significance in RMS.
Keywords
Biomarkers, Tumor/genetics, Biomarkers, Tumor/metabolism, Cell Line, Tumor, Cell Movement, Computational Biology, Databases, Genetic, Gene Expression Profiling/methods, Gene Expression Regulation, Neoplastic, Gene Fusion, Gene Regulatory Networks, Genetic Predisposition to Disease, High-Throughput Nucleotide Sequencing, Humans, MicroRNAs/genetics, MicroRNAs/metabolism, Neoplasm Invasiveness, Oncogene Proteins, Fusion/genetics, Oncogene Proteins, Fusion/metabolism, Paired Box Transcription Factors/genetics, Paired Box Transcription Factors/metabolism, Phenotype, Reproducibility of Results, Rhabdomyosarcoma, Alveolar/genetics, Rhabdomyosarcoma, Alveolar/metabolism, Rhabdomyosarcoma, Alveolar/pathology, Rhabdomyosarcoma, Embryonal/genetics, Rhabdomyosarcoma, Embryonal/metabolism, Rhabdomyosarcoma, Embryonal/pathology, Transfection, Co-expression modules, Fusion protein, MicroRNAs, Next generation sequencing, Rhabdomyosarcoma
Pubmed
Web of science
Open Access
Yes
Create date
26/09/2023 8:53
Last modification date
16/10/2023 13:40