scholarly journals Long non-coding RNA TUG1 as a potential prognostic biomarker in human cancers: a meta-analysis

Oncotarget ◽  
2017 ◽  
Vol 8 (37) ◽  
pp. 62454-62462 ◽  
Author(s):  
Peng-Ju Ma ◽  
Qing-Kai Guan ◽  
Lei Meng ◽  
Nan Qin ◽  
Jia Zhao ◽  
...  
Keyword(s):  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Human Cancers ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Long non-coding RNA HULC as a potential prognostic biomarker in human cancers: a meta-analysis

Oncotarget ◽  
2017 ◽  
Vol 8 (13) ◽  
pp. 21410-21417 ◽  
Author(s):  
Yang-Hua Fan ◽  
Miao-Jing Wu ◽  
Yuan Jiang ◽  
Minhua Ye ◽  
Shi-Gang Lu ◽  
...  
Keyword(s):  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Human Cancers ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Long non-coding RNA XIST as a potential prognostic biomarker in human cancers: a meta-analysis

Oncotarget ◽  
2018 ◽  
Vol 9 (17) ◽  
pp. 13911-13919 ◽  
Author(s):  
Shaopu Hu ◽  
Junli Chang ◽  
Yimian Li ◽  
Wenyi Wang ◽  
Mengyao Guo ◽  
...  
Keyword(s):  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Human Cancers ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Long non-coding RNA CRNDE as a potential prognostic biomarker in solid tumors: A meta-analysis

2018 ◽  
Vol 481 ◽  
pp. 99-107 ◽  
Author(s):  
Chaojie Liang ◽  
Bing Zhang ◽  
Hua Ge ◽  
Yingchen Xu ◽  
Guangming Li ◽  
...  
Keyword(s):  
Solid Tumors ◽  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

The prognostic value of long non-coding RNA PlncRNA-1 in patients with cancers: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Lijun Lei ◽  
Lianbing Sheng ◽  
Lingyuan Wu ◽  
Jiaojing Liu ◽  
Bin Wei ◽  
...  
Keyword(s):  
Web Of Science ◽  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Database Search ◽  
Clinical Prognosis ◽  
Non Coding Rna ◽  
Increased Risk ◽  
Cancer Types ◽  
The Relationship ◽  
Long Non Coding Rna

Abstract Background We performed this meta-analysis to elucidate whether the expression of PlncRNA-1 might serve as an effective prognostic marker for various cancers. Methods We conducted a database search of PubMed, ScienceDirect, Embase, Web of Science and CNKI database (up to Oct 31, 2019). The pooled hazard ratio (HR), odds ratio (OR) and 95% confidence interval (CI) were used to estimate the strength of the relationship between PlncRNA-1 expression and the clinical prognosis of cancer patients. Results The results showed that elevated PlncRNA-1 expression predicted a poor OS with pooled HRs of 1.43 (95% CI: 1.25-1.63, I 2 =63.1%, P=0.004). Likewise, we found that advanced tumour stages were associated with upregulated PlncRNA-1 expression in various cancer types (III–IV vs I–II: OR=2.79, 95% CI: 1.76-4.41, I 2 =0%, P=0.822),patients with high PlncRNA-1 expression might have an increased risk of large tumours (OR=2.03, 95% CI: 1.31-3.14, I 2 =67.1%, P=0.028). Conclusions PlncRNA-1 might be used as a prognostic biomarker and as a tool for the early detection of various tumours.

scholarly journals Prognostic and clinicopathological roles of long non-coding RNA XIST in human cancers: a meta-analysis

2018 ◽  
Vol 7 (6) ◽  
pp. 1624-1633 ◽  
Author(s):  
Liang Shen ◽  
Changzhong Li ◽  
Ming Liu ◽  
Deying Wei ◽  
Qin Chang ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Human Cancers ◽  
Non Coding Rna ◽  
Long Non Coding Rna

The utility of long non-coding RNA ZEB1-AS1 as a prognostic biomarker in human solid tumors: A meta-analysis

2018 ◽  
Vol 485 ◽  
pp. 14-20 ◽  
Author(s):  
Xue-liang Zuo ◽  
Juan Cai ◽  
Zhi-qiang Chen ◽  
Yao Zhang ◽  
Lin-hu Liang ◽  
...  
Keyword(s):  
Solid Tumors ◽  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Non Coding Rna ◽  
Human Solid Tumors ◽  
Long Non Coding Rna

scholarly journals Prognostic significance of long non-coding RNA DANCR expression in human cancers: A systematic review and meta-analysis

2019 ◽  
Author(s):  
Wei Liu ◽  
Qin-Peng Wang ◽  
Jia Guo
Keyword(s):  
Meta Analysis ◽  
Clinical Stage ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Cancer Prognosis ◽  
Advanced Clinical Stage ◽  
Protein Coding ◽  
Human Cancers ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Background: Several studies demonstrated that long non-coding RNA differentiation antagonizing non-protein coding RNA (lncRNA DANCR) expression might have the potential capacity to predict the cancer prognosis, however, definite conclusion has not been obtained. The aim of this meta-analysis was to evaluate the prognostic value of lncRNA DANCR expression in cancers. Methods: PubMed, Web of Science, Scopus and Embase were comprehensively searched for relevant studies. Studies meeting all inclusion standards were included into this meta-analysis. The analysis of overall survival (OS), disease-free survival (DFS) or clinicopathological features was conducted. Results: Eleven studies containing 1,154 cancer patients were analyzed in this meta-analysis. The results showed, compared with low lncRNA DANCR expression, high lncRNA DANCR expression was significantly associated with shorter OS (HR=1.85, 95%CI=1.52-2.26, P<0.01) and DFS (HR=1.82, 95%=1.43-2.32, P<0.01) in cancers. Besides, high lncRNA DANCR expression predicted deeper tumor invasion (P<0.01), earlier lymph node metastasis (P<0.01), earlier distant metastasis (P<0.01) and more advanced clinical stage (P<0.01) compared with low lncRNA DANCR expression in cancer populations. Conclusion: High lncRNA DANCR expression was associated with worse prognosis compared with low lncRNA DANCR expression in cancers. LncRNA DANCR expression could serve as a prognostic factor of human cancers.

scholarly journals Integrated Analysis Reveals That Long Non-Coding RNA TUBA4B Can Be Used as a Prognostic Biomarker in Various Cancers

2018 ◽  
Vol 49 (2) ◽  
pp. 530-544 ◽  
Author(s):  
Ting Zhang ◽  
Dong-ming Wu ◽  
Shi-hua Deng ◽  
Rong Han ◽  
Teng Liu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Normal Lung ◽  
Integrated Analysis ◽  
Tumor Type ◽  
Free Survival ◽  
Non Coding Rna ◽  
Tumor Tissues ◽  
Long Non Coding Rna

Background/Aims: Recent studies have reported the importance of tubulin alpha 4b (TUBA4B), a long non-coding RNA, in the development of several cancers; however, studies on its clinical significance are rare. In the present meta-analysis, we investigated whether TUBA4B can be used as a prognostic biomarker in human cancers. Methods: A comprehensive search was performed in PubMed, Embase, Web of Science, and the Gene Expression Omnibus databases. Hazard ratios from individual studies were calculated and pooled using a random-effects or fix-effects model. The pooled hazard ratio (HR) with 95% confidence interval (CI) was used to evaluate the value of TUBA4B. The expression of TUBA4B was evaluated in lung cancer tissue arrays by fluorescence in situ hybridization assay. Additionally, a sensitivity analysis and Begg’s test were conducted. Results: We found that TUBA4B was significantly correlated with overall survival (OS) (HR = 1.33, 95% CI: 1.16–1.52, P=0.000), disease-free survival (DFS; HR = 1.25, 95% CI: 1.06–1.48, P=0.007), and recurrence-free survival (RFS; HR = 1.42, 95% CI: 1.26–1.60, P=0.000). In addition, TUBA4B was a risk factor for lung cancer (HR = 1.24, 95% CI: 1.03–1.49, P=0.021), colon cancer (HR = 1.67, 95% CI: 1.02–2.74, P=0.042), breast cancer (HR = 1.52, 95% CI: 1.10–2.12, P=0.012), and ovarian cancer (HR = 1.67, 95% CI: 1.18–2.36, P=0.004). Moreover, LncRNA-TUBA4B was significantly lower expression in tumor tissues than normal lung tissues (P< 0.001). The expression of lncRNA-TUBA4B was decreased with the progression of lung cancer stage. A subgroup meta-analysis based on data resource, sample size, region, patient numbers, and tumor type was further performed. Our studies revealed that tumor tissues with low levels of TUBA4B was significantly associated with short OS, DFS, and RFS in cancer patients. Conclusion: The present findings suggest that TUBA4B can be a novel biomarker for the prognosis of various cancers.

Long non-coding RNA PCAT-1 in human cancers: A meta-analysis

2018 ◽  
Vol 480 ◽  
pp. 47-55 ◽  
Author(s):  
Chaojie Liang ◽  
Zining Qi ◽  
Hua Ge ◽  
Chaowei Liang ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Human Cancers ◽  
Non Coding Rna ◽  
Long Non Coding Rna
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