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 ◽  
...  
2019 ◽  
Vol 10 (11) ◽  
pp. 2386-2396 ◽  
Author(s):  
Yu Zhou ◽  
Rui Wang ◽  
Tian Xu ◽  
Ping Xie ◽  
Yun Zhang ◽  
...  

Oncotarget ◽  
2017 ◽  
Vol 8 (59) ◽  
pp. 100490-100498 ◽  
Author(s):  
Tian Lan ◽  
Xiong Lan ◽  
Guangcai Li ◽  
Zhen Zheng ◽  
Minghua Zhang ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hai-mei Wang ◽  
Hui-jie Li ◽  
Jun-zhen Chen ◽  
Ke Pei ◽  
Qian Zhang ◽  
...  

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.


2018 ◽  
Vol 51 (6) ◽  
pp. e12519 ◽  
Author(s):  
Meizhu Xiao ◽  
Ying Feng ◽  
Chongdong Liu ◽  
Zhenyu Zhang

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