Mining miRNAs’ Expressions in Glioma Based on GEO Database and Their Effects on Biological Functions
Joint Authors
Li, Ke
Zhang, Qi
Niu, Duan
Xing, Hailong
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Purpose.
To mine miR expression in glioma based on the Gene Expression Omnibus (GEO) database and to explore its effects on biological functions.
Methods.
Differentially expressed miRs in glioma-related chips were found out based on the GEO database.
Fifty patients with glioma treated in our hospital from February 2012 to July 2013 (observation group, OG) and a further 50 healthy people undergoing physical examinations (control group, CG) were enrolled.
miR-873-5p expression in serum and in U87, T98G, U251, LN-229, and HEK-293T cells was tested by qRT-PCR.
T98G and U251 cells were transfected with miR-873-5p-mimics and miR-NC sequences.
The expression in the two cells was also tested by qRT-PCR.
The proliferation, invasion, and apoptosis of the transfected cells were, respectively, tested by MTT assay, Transwell, and flow cytometry.
The patients were followed up for 5 years to observe their survival.
Results.
miR-873-5p expression in OG was remarkably higher than that in CG (p<0.001).
miR-873-5p was closely correlated with the tumor diameter, lymph node metastasis, and TNM staging of the patients (p<0.05).
According to the plotted receiver operating characteristic (ROC) curves, the areas under the curves (AUCs) of miR-873-5p for diagnosing the disease, tumor diameter, lymph node metastasis, and TNM staging were 0.842, 0.706, 0.865, and 0.793, respectively.
The 5-year and recurrence-free survival rates in the low expression group were lower than those in the high expression group.
According to multivariate Cox regression analysis, tumor diameter, lymph node metastasis, and miR-873-5p were independent prognostic factors for the disease.
After transfection, compared with those in the miR-NC group, T98G and U251 cells in the miR-873-5p-mimic group had remarkably higher miR-873-5p expression (p<0.05), remarkably lower proliferation and invasion rates (p<0.05), and a remarkably higher apoptotic rate (p<0.05).
Conclusions.
miR-873-5p can inhibit glioma cells to proliferate and invade, and promote their apoptosis, so it is expected to become a potential diagnostic index and therapeutic target for glioma.
American Psychological Association (APA)
Li, Ke& Zhang, Qi& Niu, Duan& Xing, Hailong. 2020. Mining miRNAs’ Expressions in Glioma Based on GEO Database and Their Effects on Biological Functions. BioMed Research International،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1134846
Modern Language Association (MLA)
Li, Ke…[et al.]. Mining miRNAs’ Expressions in Glioma Based on GEO Database and Their Effects on Biological Functions. BioMed Research International No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1134846
American Medical Association (AMA)
Li, Ke& Zhang, Qi& Niu, Duan& Xing, Hailong. Mining miRNAs’ Expressions in Glioma Based on GEO Database and Their Effects on Biological Functions. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1134846
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134846