MicroRNA–mRNA expression profiles associated with medulloblastoma subgroup 4

Sivan Gershanov, Helen Toledano, Shalom Michowiz, Orit Barinfeld, Albert Pinhasov, Nitza Goldenberg-Cohen, Mali Salmon-Divon*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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] <0.05), including 10 miRNAs, which, for the first time, are reported to be in conjunction with MB. RNA-seq analysis identified 165 genes that were DE between Group 4 and the other subgroups (FDR <0.05), among which seven are predicted targets of five DE miRNAs and exhibit inverse expression pattern. Conclusion: This study identified miRNA molecules that may be involved in Group 4 etiology, in general, and can distinguish between Group 3 and Group 4, in particular. In addition, understanding the involvement of miRNAs and their targets in MB may improve diagnosis and advance the development of targeted treatment for MB.

Original languageEnglish
Pages (from-to)339-352
Number of pages14
JournalCancer Management and Research
Volume10
DOIs
StatePublished - 16 Feb 2018

Funding

FundersFunder number
Levi-Eshkol Fund
Ministry of Science
Zanvyl and Isabelle Krieger Fund, Baltimore, MD
Ministry of Science, Technology and Space3-12624
Israel Cancer Association
Israel Science Foundation1189/12

    Keywords

    • Differential expression
    • Pediatric brain tumor
    • RNA-seq
    • Tumor subgroups

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