scholarly journals Prognostic value of long non-coding RNA PVT1 as a novel biomarker in various cancers: a meta-analysis

Oncotarget ◽  
2017 ◽  
Vol 8 (68) ◽  
pp. 113174-113184 ◽  
Author(s):  
Shikai Zhu ◽  
Ping Shuai ◽  
Chong Yang ◽  
Yun Zhang ◽  
Shan Zhong ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Meta Analysis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Meta-analysis of the prognostic value of long non-coding RNA PVT1 for cancer patients

Medicine ◽  
2018 ◽  
Vol 97 (49) ◽  
pp. e13548 ◽  
Author(s):  
Chao Ma ◽  
Xing-Guo Nie ◽  
Yan-Li Wang ◽  
Da-Peng Wu ◽  
Qiu-dong Liang
Keyword(s):  
Cancer Patients ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

The clinicopathological and prognostic value of long non-coding RNA ZEB1-AS1 in solid tumors: A meta-analysis

2018 ◽  
Vol 484 ◽  
pp. 91-98 ◽  
Author(s):  
Chaojie Liang ◽  
Jing Liu ◽  
Hua Ge ◽  
Yingchen Xu ◽  
Guangming Li ◽  
...  
Keyword(s):  
Solid Tumors ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Prognostic value of long non-coding RNA CRNDE in gastrointestinal cancers: a meta-analysis

2019 ◽  
Vol Volume 11 ◽  
pp. 5629-5642 ◽  
Author(s):  
Tian-Yu He ◽  
Si-Han Li ◽  
Jin Huang ◽  
Ming Gong ◽  
Guang Li
Keyword(s):  
Prognostic Value ◽  
Meta Analysis ◽  
Gastrointestinal Cancers ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Meta-analysis of the prognostic value of long non-coding RNA AFAP1-AS1 for cancer patients in China

Oncotarget ◽  
2017 ◽  
Vol 9 (8) ◽  
pp. 8100-8110 ◽  
Author(s):  
Rui-Hua Liu ◽  
Ming-Ying Wang ◽  
Ling-Yun Chen ◽  
Zhi-Jie Yin ◽  
Qian-Kun Ji ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

The Prognostic Value of Long Non-Coding RNA SNHG7 in Human Cancer: A Meta-Analysis

2021 ◽  
Vol 22 ◽  
Author(s):  
Kexun Yu ◽  
Weijie Yuan ◽  
Changhao Huang ◽  
Lei Xiao ◽  
Runsha Xiao ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Human Cancer ◽  
Meta Analysis ◽  
Clinicopathological Features ◽  
Tnm Stage ◽  
Significant Heterogeneity ◽  
Node Metastasis ◽  
Non Coding Rna ◽  
The Relationship ◽  
Long Non Coding Rna

Background: The long non-coding RNA SNHG7 is upregulated in many types of cancer and plays a role as an oncogene. However, its overall predictive ability in human cancer prognosis has not been assessed using existing databases. Therefore, further study of its prognostic value and clinical significance in human malignancies is warranted. Methods: We systematically collected relevant literature from multiple electronic document databases about the relationship between SNHG7 expression level and prognosis in patients with solid cancers. We further screened them for eligibility. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were used to assess the prognostic value. Odds ratios (ORs) and their 95% CIs were collected to evaluate the relationship between the expression of SNHG7 and clinicopathological features, including lymph node metastasis (LNM), tumour size, tumour node metastasis (TNM) stage and histological grade. Results: Fourteen original studies involving 971 patients were enrolled strictly following the inclusion and exclusion criteria. The meta-analysis showed that SNHG7 expression was significantly correlated with poor overall survival (HR = 1.93, 95% CI: 1.64–2.26, p<0.001) in human cancer patients. In addition, the pooled OR indicated that overexpression of SNHG7 was associated with earlier LNM (OR = 1.83, 95% CI: 1.44–2.32; P <0.001), and advanced TNM stage (OR = 1.82, 95% CI: 1.44–2.30; P <0.001).Meanwhile, there was no significant heterogeneity between the selected studies, proving the reliability of the meta-analysis results. Conclusions: High SNHG7 expression may predict poor oncological outcomes in patients with multiple human cancers, which could be a novel prognostic biomarker of unfulfilled clinicopathological features. However, further high-quality studies are needed to verify and strengthen the clinical value of SNHG7 in different types of cancer.

scholarly journals Correction: Prognostic value of long non-coding RNA CCAT1 expression in patients with cancer: A meta-analysis

PLoS ONE ◽  
2017 ◽  
Vol 12 (10) ◽  
pp. e0186670
Author(s):  
Deyao Shi ◽  
Fashuai Wu ◽  
Feng Gao ◽  
Xiangcheng Qing ◽  
Zengwu Shao
Keyword(s):  
Prognostic Value ◽  
Meta Analysis ◽  
Patients With Cancer ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals The Prognostic Value of Long Non-Coding RNA SNHG7 in Human Cancer: A Meta-Analysis.

2021 ◽  
Author(s):  
Kexun Yu ◽  
Lu Chen ◽  
Zihua Chen ◽  
Weijie Yuan ◽  
Pengwei Zeng ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Human Cancer ◽  
Meta Analysis ◽  
Clinicopathological Features ◽  
Tnm Stage ◽  
Significant Heterogeneity ◽  
Node Metastasis ◽  
Non Coding Rna ◽  
The Relationship ◽  
Long Non Coding Rna

Abstract Background: The long non-coding RNA SNHG7 is upregulated in many types of cancer and plays a role as an oncogene. However, its overall predictive ability in human cancer prognosis has not been assessed using existing databases. Therefore, further study of its prognostic value and clinical significance in human malignancies is warranted.Methods: We systematically collected relevant literature from multiple electronic document databases about the relationship between SNHG7 expression level and prognosis in patients with solid cancers. We further screened them for eligibility. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were used to assess the prognostic value. Odds ratios (ORs) and their 95% CIs were collected to evaluate the relationship between the expression of SNHG7 and clinicopathological features, including lymph node metastasis (LNM), tumour size, tumour node metastasis (TNM) stage and histological grade.Results: Fourteen original studies involving 971 patients were enrolled strictly following the inclusion and exclusion criteria. The meta-analysis showed that SNHG7 expression was significantly correlated with poor overall survival (HR = 1.93, 95% CI: 1.64–2.26, p < 0.001) in human cancer patients. In addition, the pooled OR indicated that overexpression of SNHG7 was associated with earlier LNM (OR = 1.83, 95% CI: 1.44–2.32; P <0.001), and advanced TNM stage (OR = 1.82, 95% CI: 1.44–2.30; P <0.001).Meanwhile, there was no significant heterogeneity between the selected studies, proving the reliability of the meta-analysis results.Conclusions: High SNHG7 expression may predict poor oncological outcomes in patients with multiple human cancers, which could be a novel prognostic biomarker of unfulfilled clinicopathological features. However, further high-quality studies are needed to verify and strengthen the clinical value of SNHG7 in different types of cancer.

scholarly journals Prognostic value of long non-coding RNA GHET1 in cancers: a systematic review and meta-analysis

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Dingding Wang ◽  
Hong Zhang ◽  
Xiaolian Fang ◽  
Xue Zhang ◽  
Honggang Liu
Keyword(s):  
Systematic Review ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Non Coding Rna ◽  
Long Non Coding Rna
Sign in / Sign up

Export Citation Format

Share Document