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MicroRNA–mRNA expression profiles associated with medulloblastoma subgroup 4

Authors :
Helen Toledano
Albert Pinhasov
Mali Salmon-Divon
Sivan Gershanov
Nitza Goldenberg-Cohen
Shalom Michowiz
Orit Barinfeld
Source :
Cancer Management and Research
Publication Year :
2018
Publisher :
Dove Medical Press, 2018.

Abstract

Sivan Gershanov,1 Helen Toledano,2,3 Shalom Michowiz,3,4 Orit Barinfeld,3,5 Albert Pinhasov,1 Nitza Goldenberg-Cohen,5–7 Mali Salmon-Divon1 1Genomic Bioinformatics Laboratory, Department of Molecular Biology, Ariel University, Ariel, Israel; 2Department of Pediatric Oncology, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel; 3Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; 4Department of Pediatric Neurosurgery, Schneider Children’s Medical Center of Israel, Petah Tikva, Israel; 5The Krieger Eye Research Laboratory, Felsenstein Medical Research Center, Beilinson Hospital, Petah Tikva, Tel Aviv, Israel; 6Department of Ophthalmology, Bnai Zion Medical Center, Haifa, Israel; 7The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa,Israel Purpose: Medulloblastoma (MB), the most common malignant brain tumor in children, is divided into four tumor subgroups: wingless-type (WNT), sonic hedgehog (SHH), Group 3, and Group 4. ­Ideally, clinical practice and treatment design should be subgroup specific. While WNT and SHH subgroups have well-defined biomarkers, distinguishing Group 3 from Group 4 is not straightforward. MicroRNAs (miRNAs), which regulate posttranscriptional gene expression, are involved in MB tumorigenesis. However, the miRNA–messenger RNA (mRNA) regulatory network in MB is far from being fully understood. Our aims were to investigate miRNA expression regulation in MB subgroups, to assess miRNA target relationships, and to identify miRNAs that can distinguish Group 3 from Group 4. Patients and methods: With these aims, integrated transcriptome mRNA and miRNA expression analysis was performed on primary tumor samples collected from 18 children with MB, using miRNA sequencing (miRNA-seq), RNA sequencing (RNA-seq), and quantitative PCR. Results: Of all the expressed miRNAs, 19 appeared to be significantly differentially expressed (DE) between Group 4 and non-Group 4 subgroups (false discovery rate [FDR]

Details

Language :
English
ISSN :
11791322
Volume :
10
Database :
OpenAIRE
Journal :
Cancer Management and Research
Accession number :
edsair.doi.dedup.....2278c4d4f527400b6a80c3b97481e82d