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Deciphering specific miRNAs in brain tumors: a 5-miRNA signature in glioblastoma

Authors :
João Basso
Marco G. Paggi
Ana Fortuna
Carla Vitorino
Rui Vitorino
Source :
Molecular Genetics and Genomics. 297:507-521
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

MicroRNAs are endogenous non-coding RNAs with a marked impact on the development and progression of brain tumors. However, they commonly share different expression patterns in other types of tumors, thereby exhibiting lack of tissue specificity. Here, an integrative holistic analysis of microarray data is established for deciphering dysregulated miRNAs in glioblastoma, distinguishing them from eight other CNS tumors. The identification of dysregulated miRNAs was performed in a pool of 176 patients, 118 of which diagnosed with glioblastoma. Dysregulated miRNAs commonly expressed in glioblastoma were then discriminated from those co-expressed in other CNS tumors and further characterized. Overall, 21 miRNAs were found to be commonly dysregulated in glioblastoma. Notwithstanding, 16 miRNAs also exhibited a differential expression in at least one other CNS tumor. The remaining 5, specifically, hsa-miR-21-3p, hsa-miR-338-5p, hsa-miR-485-5p, hsa-miR-491-5p and hsa-miR-1290, were solely associated to glioblastoma. This signature is in-depth characterized, with the spotlight on tumor progression, invasion and patient survival. These five endogenous molecules, differentially expressed in glioblastoma, are thus suggested as potential therapeutic targets, modulating several genes involved in major signalling pathways, including MAPK/ERK, calcium, PI3K/AKT, mTOR and Wnt. In summary, these findings lay a foundation for further research on the expression and function of specific patterns of miRNAs expression in glioblastoma, providing reference for potential novel targets.

Details

ISSN :
16174623 and 16174615
Volume :
297
Database :
OpenAIRE
Journal :
Molecular Genetics and Genomics
Accession number :
edsair.doi.dedup.....8b378abd5d1a19075512b73255b6cf8a
Full Text :
https://doi.org/10.1007/s00438-022-01866-6