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Prognostic significance of microRNAs in survival of patients with supratentorial gliomas

Authors: E. V. Stupak; S. E. Titov; Yu. A. Versyaskina; L. G. Akhmerova; I. E. Zhimulyov; V. V. Stupak; S. S. Rabinovich; +2 Authors

Prognostic significance of microRNAs in survival of patients with supratentorial gliomas

Abstract

Aim. To identify novel microRNA markers as survival predictors in patients with supratentorial gliomas.Methods. This study involved the analysis of tumour and normal brain tissue biopsy samples obtained from patients undergoing combination treatment for supratentorial gliomas of different World Health Organization (WHO) grades. Real-time polymerase chain reaction was used to determine the expression profiles of ten microRNAs, following comparison with clinical treatment results: tumour morphology, WHO grade, patient age, Karnofsky scale, treatment type, postsurgical survival rate and histological diagnosis. The mean age of surgically treated patients [62 (57.9%) males and 45 (42.1%) females] was 48.8 ± 14 years. There were 17 (16%), 30 (28%) and 60 (56%) patients with grade II, III and IV (glioblastoma) gliomas, respectively. Statistical analysis was performed using Statistica version 10.0 and GraphPad Prism version 5.Results. Four microRNAs (miRNA-31, miRNA-21, miRNA-223 and miRNA-221) were strongly correlated with worse survival, when over-expressed, indicating their potential utility as survival predictors in glioma patients. Overexpression of these microRNAs in glioma tissue, lack of adjuvant therapy such as chemotherapy or radiotherapy and age > 48 years were identified as factors for worse prognosis. Received 14 May 2019. Revised 21 June 2019. Accepted 25 June 2019. Funding: This work was supported by the program of fundamental scientific research on the topic 0310-2019-0003. Conflict of interest: The authors declare no conflict of interest.

Keywords

глиома головного мозга, RD1-811, микрорибонуклеиновая кислота, Surgery, предиктор выживания, молекулярно-генетическое исследование

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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