scholarly journals Long noncoding RNA DANCR in various cancers: a meta-analysis and bioinformatics

2019 ◽  
Vol Volume 11 ◽  
pp. 6581-6592 ◽  
Author(s):  
Lihong Wang ◽  
Yalin Xie ◽  
Hui Fang ◽  
Xia Zhang ◽  
Huiyun Pan ◽  
...  
Keyword(s):  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis

scholarly journals The association between long noncoding RNA H19 and pathological features in cancers: A meta-analysis

2017 ◽  
Vol 1 (4) ◽  
pp. 203-210
Author(s):  
Meng Cui ◽  
Qing Luo ◽  
Yi Zhang ◽  
Kaijiong Zhang ◽  
Jinbo Liu
Keyword(s):  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Pathological Features

scholarly journals Prognostic Value of Long Noncoding RNA NORAD in Various cancers: a meta-analysis

2020 ◽  
Author(s):  
Qin Yang ◽  
Zheng Zhang ◽  
Yuan-Yuan Gong ◽  
Zhi-Ran Li ◽  
Hua-Zhu Zhang ◽  
...  
Keyword(s):  
Risk Factor ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Bioinformatics Analysis ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Cancer Prognosis ◽  
Clinicopathological Parameters ◽  
Survival Outcomes ◽  
Free Survival

Abstract Objective: Accumulating studies reported that noncoding RNA activated by DNA damage (NORAD) was correlated with poor survival outcomes for patients in different cancers. However, the effects of NORAD on cancer prognosis were controversial. Therefore, a meta-analysis was carried out to elucidate this issue. Methods: Literature search was performed to collect eligible relevant publications until June 2020. The pooled hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the association of NORAD with prognosis and clinical features in diverse cancers. In addition, bioinformatics analysis was also utilized to validate the results of the meta-analysis. Results: Fourteen relevant articles involving 867 patients were enrolled in the present study. The pooled results showed that elevated expression of NORAD was a risk factor for overall survival (HR = 1.46, 95% CI: 1.06-2.01, P = 0.020), disease-free survival (HR = 1.74, 95% CI: 1.18-2.57, P = 0.005) and recurrence-free survival. Besides, overexpression of NORAD significantly correlated with lymph node metastasis and T stage. Additionally, bioinformatics analysis further strengthened and complemented the results of the present study. Conclusion: Our results showed that NORAD was a risk factor for survival outcomes and clinicopathological parameters in cancer patients. These findings indicated that NORAD may be a promising candidate for prognosis prediction and potential therapeutic target in diverse cancers. Key words: Long noncoding RNA, NORAD, prognosis, cancer, meta-analysis

scholarly journals Prognostic Value of Long Noncoding RNA CRNDE as a Novel Biomarker in Solid Cancers: An Updated Systematic Review and Meta-Analysis

2019 ◽  
Vol 10 (11) ◽  
pp. 2386-2396 ◽  
Author(s):  
Yu Zhou ◽  
Rui Wang ◽  
Tian Xu ◽  
Ping Xie ◽  
Yun Zhang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Prognostic Value ◽  
Meta Analysis

scholarly journals Prognostic role of long noncoding RNA ZFAS1 in cancer patients: a systematic review and meta-analysis

Oncotarget ◽  
2017 ◽  
Vol 8 (59) ◽  
pp. 100490-100498 ◽  
Author(s):  
Tian Lan ◽  
Xiong Lan ◽  
Guangcai Li ◽  
Zhen Zheng ◽  
Minghua Zhang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cancer Patients ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Prognostic Role

scholarly journals Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Xuefeng Jiang ◽  
Guijuan Zhang ◽  
Jieyan Wu ◽  
Shujun Lin ◽  
Yusheng Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Breast Cancer Diagnosis ◽  
Predictive Biomarker ◽  
Cochrane Library ◽  
Summary Receiver Operating Characteristic ◽  
Diagnostic Efficacy

Purpose. The detection of long noncoding RNA (lncRNA) is a novel method for breast cancer diagnosis. The purpose of this meta-analysis was to evaluate the clinical significance of lncRNAs in identification of human breast cancer. Methods. Electronic databases, including PubMed (176), EMBASE (167), Cochrane Library (4), Web of Science (273), CNKI (41), VIP (18), and wanfang (21), were searched for relevant original articles. Diagnostic capacity of lncRNAs was assessed by pooled sensitivity and specificity, area under the summary receiver operating characteristic curve (AUC), diagnostic odds ratio (DOR), and subgroup and meta-regression analysis. Stata and Meta-Disc software were used to conduct the meta-analysis. Results. 33 articles including 4500 cases were identified in our meta-analysis. lncRNAs sustained a high diagnostic efficacy; the pooled sensitivity, specificity, AUC, and DOR of lncRNAs in differentiating BC from controls were 0.74 (95% CI: 0.69-0.78), 0.78 (95% CI: 0.72-0.83), 0.82 (95% CI: 0.79-0.85), and 10.01 (95% CI: 7.13-14.06), respectively. The subgroup analysis showed that the diagnostic efficacy of lncRNAs in Asian populations was higher than that in Caucasians; lncRNAs in BC were lower than those in TNBC and were higher in plasma and serum specimens than in tissues. In addition, heterogeneity was clearly apparent but was not caused by the threshold effect. Conclusion. This meta-analysis suggested that lncRNAs might be promising biomarkers for identifying breast cancer, and its clinical application warrants further investigation.

Long noncoding RNA MALAT1 acts as a potential biomarker in cancer diagnosis and detection: a meta-analysis

2019 ◽  
Vol 13 (1) ◽  
pp. 45-54 ◽  
Author(s):  
Hongbing Mei ◽  
Yuhan Liu ◽  
Qun Zhou ◽  
Kun Hu ◽  
Yuchen Liu
Keyword(s):  
Cancer Diagnosis ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Potential Biomarker

Long noncoding RNA activated by TGF-β in human cancers: A meta-analysis

2017 ◽  
Vol 468 ◽  
pp. 10-16 ◽  
Author(s):  
Yang-Hua Fan ◽  
Chen-xing Ji ◽  
Bing Xu ◽  
Heng-yi Fan ◽  
Zu-jue Cheng ◽  
...  
Keyword(s):  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Human Cancers
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