Cited by 44MicroRNA in disease regulationCancer-related molecular mechanisms researchGlioma Diagnosis and Treatment

Genome‐wide small noncoding RNA profiling of pediatric high‐grade gliomas reveals deregulation of several mi RNA s, identifies downregulation of sno RNA cluster HBII‐52 and delineates H3F3A and TP53 mutant‐specific mi RNA s and sno RNA s

Jha, Prerana, Agrawal, Rahul, Pathak, Pankaj, Kumar, Anupam, Purkait, Suvendu, Mallik, Supriyo, Suri, Vaishali, Chand Sharma, Mehar +6 more·2015·International Journal of Cancer

Abstract

Pediatric high‐grade gliomas (HGGs) are highly malignant tumors that remain incurable and relatively understudied. The crucial role of noncoding RNAs (ncRNAs) has been reported in various cancers. However, the study on miRNAs in pediatric HGGs is scant and there is no report till date on the status of other small ncRNAs. Genome‐wide microarray analysis was performed to investigate small ncRNA expression in pediatric HGG (n = 14) and compared to adult glioblastoma (GBM) signature. The validation of miRNAs and small nucleolar RNAs (snoRNAs) was done by real‐time polymerase chain reaction. TP53 and H3F3A mutation‐specific miRNA and snoRNA profiles were generated and analyzed. Pediatric HGGs showed upregulation of miR‐17/92 and its paralog clusters (miR106b/25 and miR‐106a/363), whereas majority of downregulated miRNAs belonged to miR379/656 cluster (14q32). Unsupervised hierarchical clustering identified two distinct groups. Interestingly, Group 2 with downregulated 14q32 cluster showed better overall survival. The miRNAs unique to pediatric HGG as compared to adult GBM were predicted to affect PDGFR and SMAD2/3 pathways. Similarities were seen between pediatric HGG and TP53 mutant miRNA profiles as compared to wild types. Several of H3F3A mutation‐regulated genes were found to be the targets of H3F3A mutant‐specific miRNAs. Remarkably, a significant downregulation of HBII‐52 snoRNA cluster was found in pediatric HGGs, and was specific to H3F3A nonmutants. This is the first genome‐wide profiling study on miRNAs and snoRNAs in pediatric HGGs with respect to H3F3A and TP53 mutations. The comparison of miRNA profiles of pediatric HGGs and adult GBM reiterates the overlaps and differences as also seen with their gene expression and methylation signatures.

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Crossref · 10.1002/ijc.29610

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Authors
Jha, P., Agrawal, R., Pathak, P., Kumar, A., Purkait, S., Mallik, S., Suri, V., Chand Sharma, M., Gupta, D., Suri, A., Sharma, B. S., Julka, P. K., Kulshreshtha, R., & Sarkar, C.
Affiliations
  • Indian Institute of Technology Delhi (IN)
  • All India Institute of Medical Sciences (IN)
  • DR. B.R.A. Institute Rotary Cancer Hospital (IN)
  • Department of Pathology All India Institute of Medical Sciences New Delhi India
Corresponding author
  • Kulshreshtha, Ritu
  • Sarkar, Chitra
Venue
International Journal of Cancer
Publisher
Wiley
Published
2015-06-03
Volume
137
Issue
10
Pages
2343-2353
ISSN
  • 0020-7136 (ISSN-L)
  • 1097-0215
OpenAlex
W1885073966
Cited by
44
References
3
Citations by year
2026: 2 · 2025: 4 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 6 · 2020: 4 · 2019: 6 · 2018: 4 · 2017: 8 · 2016: 3 · 2015: 2
FWCI
1.87
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Cancer (publishedVersion)
  • PubMed (publishedVersion)
Funders
DST (SB/YS/LS-362/2013)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
  • Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
Keywords
pediatric high-grade glioma, miRNA expression profiling, small RNA, small nucleolar RNA, H3F3A mutation, TP53 mutation, miR-17-92 cluster, 14q32, Smad2/3 signaling, overall survival, tumor subtypes
MeSH terms
Adolescent, Adult, Brain Neoplasms, Child, Child, Preschool, Glioma, Histones, Humans, Mutation, Gene Expression Regulation, Neoplastic, Survival Analysis, Tumor Suppressor Protein p53, RNA, Small Nucleolar, Gene Expression Profiling, MicroRNAs

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