scholarly journals Prognostic values of long noncoding RNA PVT1 in various carcinomas: An updated systematic review and meta-analysis

2018 ◽  
Vol 51 (6) ◽  
pp. e12519 ◽  
Author(s):  
Meizhu Xiao ◽  
Ying Feng ◽  
Chongdong Liu ◽  
Zhenyu Zhang
Keyword(s):  
Systematic Review ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
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 Prognostic Values of Long Noncoding RNA GAS5 in Various Carcinomas: An Updated Systematic Review and Meta-Analysis

2017 ◽  
Vol 8 ◽  
Author(s):  
Qunjun Gao ◽  
Haibiao Xie ◽  
Hengji Zhan ◽  
Jianfa Li ◽  
Yuchen Liu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis

scholarly journals Prognostic Value of Long Noncoding RNA SPRY4-IT1 on Survival Outcomes in Human Carcinomas: A Systematic Review and Meta-Analysis with TCGA Database

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hai-mei Wang ◽  
Hui-jie Li ◽  
Jun-zhen Chen ◽  
Ke Pei ◽  
Qian Zhang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cancer Patients ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Cancer Prognosis ◽  
Survival Outcomes ◽  
Human Cancers ◽  
Human Carcinomas ◽  
Tcga Dataset

Background. Emerging evidences have shown that long noncoding RNA SPRY4-IT1 can be aberrantly expressed in human cancers, and it could be an unfavorable prognostic factor in cancer patients. However, the prognostic mechanism of SPRY4-IT1 is still unclear. This study is aimed at evaluating its potential predictive value for cancer prognosis. Methods. We thoroughly searched PubMed, Embase, Web of Science, and MEDLINE databases so as to explore the relationship between SPRY4-IT1 expression and cancer prognosis value. Then, TCGA datasets were used to validate the results of our meta-analysis. Results. In all, seventeen studies involving 1650 patients were included in this meta-analysis. Pooled results showed that high expression of SPRY4-IT1 was significantly correlated with poor OS ( HR = 1.96 , 95% confidence interval CI = 1.47 ‐ 2.62 , P < 0.001 ) in cancer patients. Furthermore, exploration of TCGA dataset further validated that SPRY4-IT1 was aberrantly expressed in various cancers, which partially confirmed our results in this meta-analysis. Conclusions. The present systematic review and meta-analysis implicated that the aberrant expressions of lncRNA SPRY4-IT1 were strongly associated with clinical survival outcomes in various cancers and therefore might serve as a promising biomarker for predicting prognosis of human cancers.

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