The potential effect of APTR amplification on glioma patients' prognosis.

Autor: ZHANG Shan-shan, YU Lin
Předmět:
Zdroj: Chinese Journal of Contemporary Neurology & Neurosurgery; Jul2019, Vol. 19 Issue 7, p507-513, 7p
Abstrakt: Objective To explore the potential effect of long non-coding RNA APTR gene amplification on glioma cell proliferation and invasion and glioma patients' prognosis. Methods Quantitative real - time polymerase chain reaction (qRT - PCR) was used to analyze the APTR gene amplification and expression condition of 30 cases of World Health Organization (WHO) grade II-IV glioma patients from Tianjin Medical University General Hospital, and the APTR amplification and expression in 1119 cases of glioma patients from The Cancer Genome Atlas (TCGA) database. The correlation of APTR amplification rate with glioma grade, APTR LncRNA level and patients' prognosis was accessed. The effects of APTR gene on proliferation and invasion in U251 glioma cells were further confirmed by methyl thiazolyl tetrazolium (MTT) assay and Transwell assay. Results The APTR amplification rate was positively correlated with glioma grade, the results were significant (χ² = 53.901, P = 0.000; χ² = 267.832, P = 0.000; χ² = 118.412, P = 0.000). APTR amplification rate was also positively correlated with APTR LncRNA level (patients from our hospital: rs = 0.917, P = 0.000; patients from TCGA: rs = 0.591, P = 0.000). Univariate and multivariate stepwise Cox regression results showed APTR amplification and LncRNA level were independent predictors of poorer prognosis of glioma patients (all P < 0.05). Knocking down APTR gene in glioma cells could inhibit cell proliferation and invasion. Conclusions APTR amplification and induced APTR LncRNA over - expression are novel independent glioma prognosis biomarkers, which could provide valuable information for grading and prognosis evaluation of glioma patients, and could also become key factor to promote glioma cell proliferation and invasion. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index