Qian Zhou1, Jing Liu2, Jing Quan3, Wenlan Liu4, Hui Tan4, Weiping Li5. 1. Department of Neurosurgery, Shenzhen Key Laboratory of Neurosurgery, Shenzhen University 1st Affiliated Hospital, Shenzhen Second People's Hospital, Shenzhen University School of Medicine, Shenzhen 518035, China; Anhui Medical University, Hefei 230032, China. 2. Department of Neurosurgery, Shenzhen Key Laboratory of Neurosurgery, Shenzhen University 1st Affiliated Hospital, Shenzhen Second People's Hospital, Shenzhen University School of Medicine, Shenzhen 518035, China; Department of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China. 3. Anhui Medical University, Hefei 230032, China. 4. Department of Neurosurgery, Shenzhen Key Laboratory of Neurosurgery, Shenzhen University 1st Affiliated Hospital, Shenzhen Second People's Hospital, Shenzhen University School of Medicine, Shenzhen 518035, China. 5. Department of Neurosurgery, Shenzhen Key Laboratory of Neurosurgery, Shenzhen University 1st Affiliated Hospital, Shenzhen Second People's Hospital, Shenzhen University School of Medicine, Shenzhen 518035, China. Electronic address: wpli@szu.edu.cn.
Abstract
BACKGROUND: An increasing number of studies have shown that long noncoding RNAs (lncRNAs) play important roles in the development of glioma. However, a systematic review and meta-analysis to evaluate the clinical value of lncRNA expression in glioma patients is lacking. We performed this study to assess the relationship between the expression of various lncRNAs and the clinicopathological features, diagnosis and prognosis of glioma. MATERIALS AND METHODS: Eligible studies were identified through a comprehensive literature search. We conducted a subgroup analysis to assess the clinicopathological value of urothelial carcinoma associated 1 (UCA1). Pooled hazard ratios (HRs) of lncRNAs for survival were calculated to analyze the prognostic performance of lncRNAs. RESULTS: In total, 40 studies, including 30 investigating clinicopathological features, 3 investigating diagnoses and 32 investigating prognoses, were analyzed in this study. UCA1 expression was positively associated with tumor size (odds ratio [OR], 2.09; 95% confidence interval [CI], 1.06-4.15; P < 0.001) and World Health Organization (WHO) grade (OR, 3.84, [95% CI 1.84-8.01], P < 0.001). In the prognostic meta-analysis, high metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) expression could predict poor overall survival (OS) in patients with glioma, with a pooled HR of 2.32 (95% CI: 1.64-3.27, P < 0.001). CONCLUSIONS: This systematic review and meta-analysis demonstrated that lncRNAs are associated with tumor size, WHO grade, and prognosis in glioma patients. lncRNAs could function as potential molecular biomarkers of the clinicopathology and prognosis of glioma.
BACKGROUND: An increasing number of studies have shown that long noncoding RNAs (lncRNAs) play important roles in the development of glioma. However, a systematic review and meta-analysis to evaluate the clinical value of lncRNA expression in gliomapatients is lacking. We performed this study to assess the relationship between the expression of various lncRNAs and the clinicopathological features, diagnosis and prognosis of glioma. MATERIALS AND METHODS: Eligible studies were identified through a comprehensive literature search. We conducted a subgroup analysis to assess the clinicopathological value of urothelial carcinoma associated 1 (UCA1). Pooled hazard ratios (HRs) of lncRNAs for survival were calculated to analyze the prognostic performance of lncRNAs. RESULTS: In total, 40 studies, including 30 investigating clinicopathological features, 3 investigating diagnoses and 32 investigating prognoses, were analyzed in this study. UCA1 expression was positively associated with tumor size (odds ratio [OR], 2.09; 95% confidence interval [CI], 1.06-4.15; P < 0.001) and World Health Organization (WHO) grade (OR, 3.84, [95% CI 1.84-8.01], P < 0.001). In the prognostic meta-analysis, high metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) expression could predict poor overall survival (OS) in patients with glioma, with a pooled HR of 2.32 (95% CI: 1.64-3.27, P < 0.001). CONCLUSIONS: This systematic review and meta-analysis demonstrated that lncRNAs are associated with tumor size, WHO grade, and prognosis in gliomapatients. lncRNAs could function as potential molecular biomarkers of the clinicopathology and prognosis of glioma.