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 Association Between Long Non-Coding RNA POLR2E rs3787016 Polymorphism and Cancer Susceptibility: A Meta-analysis of 8725 Cancer Cases and 10710 Controls

2020 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Saeid Ghavami ◽  
Mohsen Taheri ◽  
Mohammad Hashemi
Keyword(s):  
Breast Cancer ◽  
Web Of Science ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Positive Association ◽  
Cancer Development ◽  
Non Coding Rna ◽  
Stratified Analysis ◽  
The Relationship ◽  
Long Non Coding Rna

Objectives: Several studies have reported a correlation between the POLR2E rs3787016 polymorphism and cancer development, but findings are inconsistent. Therefore, we designed the current study to understand how rs3787016 polymorphism impacts cancer susceptibility. Methods: We searched the Scopus, Web of Science, and PubMed databases for studies related to the topic of interest published up to March 2019. A total of 11 relevant studies, encompassing 8,761 cancer cases and 10,534 controls, were retrieved and subject to quantitative analysis. The strength of the relationship was evaluated using the pooled odds ratios (ORs) with 95% confidence intervals (CIs). Results: Overall, the findings proposed a positive association between rs189037 polymorphism and susceptibility to cancer in homozygous (OR = 1.32, 95% CI = 1.11 - 1.57, P = 0.002, TT vs. CC), recessive (OR = 1.21, 95% CI = 1.06-1.39, P = 0.005, TT vs. CT + CC), and allele (OR = 1.12, 95% CI = 1.02-1.22, P = 0.021, T vs. C) genetic models. Stratified analysis showed that rs3787016 increased the risk of prostate and breast cancer. In addition, we found a significant association between the variant and increased cancer risk in Asian and Caucasian populations. Conclusions: In summary, the findings of the current meta-analysis suggest that the POLR2E rs3787016 polymorphism is an indicator of cancer susceptibility.

scholarly journals The value of lncRNAs as prognostic biomarkers on clinical outcomes in osteosarcoma: a meta-analysis

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wenchao Zhang ◽  
Xiaolei Ren ◽  
Lin Qi ◽  
Chenghao Zhang ◽  
Chao Tu ◽  
...  
Keyword(s):  
Web Of Science ◽  
Meta Analysis ◽  
Positive Outcome ◽  
Clinical Applications ◽  
Clinicopathological Features ◽  
Cochrane Library ◽  
Human Osteosarcoma ◽  
Non Coding Rna ◽  
The Cochrane Library ◽  
Long Non Coding Rna

Abstract Background In recent years, emerging studies have demonstrated critical functions and potential clinical applications of long non-coding RNA (lncRNA) in osteosarcoma. To further validate the prognostic value of multiple lncRNAs, we have conducted this updated meta-analysis. Methods Literature retrieval was conducted by searching PubMed, Web of Science and the Cochrane Library (last update by October 2, 2019). A meta-analysis was performed to explore association between lncRNAs expression and overall survival (OS) of osteosarcoma patients. Relationships between lncRNAs expression and other clinicopathological features were also analyzed respectively. Results Overall, 4351 patients from 62 studies were included in this meta-analysis and 25 lncRNAs were identified. Pooled analyses showed that high expression of 14 lncRNAs connoted worse OS, while two lncRNAs were associated with positive outcome. Further, analysis toward osteosarcoma clinicopathologic features demonstrated that overexpression of TUG1 and XIST indicated poor clinical parameters of patients. Conclusions This meta-analysis has elucidated the prognostic potential of 16 lncRNAs in human osteosarcoma. Evidently, desperate expression and functional targets of these lncRNAs offer new approaches for prognosis and therapy of osteosarcoma.

scholarly journals Long non-coding RNA FTX predicts a poor prognosis of human cancers: a meta-analysis

2021 ◽  
Author(s):  
Weiwei Chen ◽  
Yuting Li ◽  
Liliangzi Guo ◽  
Chenxing Zhang ◽  
Shaohui Tang
Keyword(s):  
Meta Analysis ◽  
Clinical Stage ◽  
Predictive Marker ◽  
Clinicopathological Characteristics ◽  
Cochrane Library ◽  
Hazard Ratios ◽  
Non Coding Rna ◽  
The Relationship ◽  
Long Non Coding Rna

Background: Several studies have assessed the relationship between long non-coding RNA five prime to Xist (FTX) expression, clinicopathological features, and survival outcomes in cancer patients with conflicting results. This meta-analysis synthesized existing data to clarify the association between FTX with cancer prognosis.Methods: PubMed, Embase, Cochrane library, Web of Science, Chinese CNKI, and the Chinese WanFang databases were used to search for relevant studies. Role of FTX in cancers was evaluated by pooled odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (CIs).Results: Eleven studies comprising 1,210 participants including colorectal cancer (CRC), hepatocellular carcinoma (HCC), gastric cancer (GC), renal cell carcinoma (RCC), osteosarcoma (OSC), and glioma were enrolled in this analysis. The meta-analysis showed that high FTX expression was significantly associated with several clinicopathological characteristics, including lymph node metastasis in patients with CRC, GC, HCC, and RCC, distant metastasis in patients with CRC, GC, HCC, and OSC, larger tumor size in patients with CRC, GC, HCC, RCC, and OSC, and subsequently TNM/clinical stage in patients with CRC, GC, HCC, OSC, and glioma. The pooled results from the survival analysis revealed a significant correlation between high FTX expression and shorter OS in patients with HCC, CRC, GC, OSC, and glioma. Further, FTX overexpression could be an independent predictive marker for shorter OS in patients with CRC, HCC, OSC, and glioma. Conclusions: FTX may be a potential oncogene, with high FTX expression being associated with a poorer prognosis in patients with CRC, HCC, OSC, and glioma

scholarly journals Association between long non-coding RNA (lncRNA) GAS5 polymorphism rs145204276 and cancer risk

2021 ◽  
Vol 49 (9) ◽  
pp. 030006052110397
Author(s):  
Shushan Zhao ◽  
Ping Liu ◽  
Zhe Ruan ◽  
Jianhuang Li ◽  
Shan Zeng ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Gastrointestinal Cancer ◽  
Web Of Science ◽  
Sensitivity Analyses ◽  
Non Coding Rna ◽  
Positive Report ◽  
The Relationship ◽  
Sequential Analyses ◽  
Long Non Coding Rna ◽  
Larger Sample

Objective The long non-coding RNA (lncRNA) growth arrest‑specific transcript 5 (GAS5) plays an important role in various tumors, and an increasing number of studies have explored the association of the GAS5 rs145204276 polymorphism with cancer risk with inconclusive results. Methods PubMed, Medline, EMBASE, Cochrane databases, and Web of Science were searched, and nine studies involving 6107 cases and 7909 controls were deemed eligible. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated to evaluate the relationship between rs145204276 and cancer risk in six genetic models. Results The pooled results suggest that the variant allele del was not associated with overall cancer risk. However, the subgroup analysis showed that allele del was significantly associated with a 22% decreased risk of gastrointestinal cancer (OR = 0.78, 95% CI: 0.72–0.85). Both sensitivity analyses and trial sequential analyses (TSA) demonstrated that the subgroup results were reliable and robust. Moreover, False-Positive Report Probability (FPRP) analysis indicated that the results had true significant correlations. Conclusion These findings provide evidence that the GAS5 rs145204276 polymorphism is associated with the susceptibility to gastrointestinal cancer. Further studies with different ethnicities and larger sample sizes are warranted to confirm these results.

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

scholarly journals Effects of ANRIL variants on the risk of ischemic stroke: a meta-analysis

2019 ◽  
Vol 39 (5) ◽  
Author(s):  
Cheng Tan ◽  
Junzhi Liu ◽  
Jun Wei ◽  
Shoujun Yang
Keyword(s):  
Ischemic Stroke ◽  
Confidence Intervals ◽  
Meta Analysis ◽  
Recessive Model ◽  
Individual Susceptibility ◽  
Non Coding Rna ◽  
Increased Risk ◽  
Subgroup Analyses ◽  
The Relationship ◽  
Allele Model

Abstract Background : Several studies investigated the relationship between antisense non-coding RNA in the INK4 locus (ANRIL) variants and the risk of ischemic stroke (IS), yet whether ANRIL variants are associated with IS remain controversial. Therefore, we performed the present study to obtain a more conclusive result. Methods: Literature retrieval was conducted in PubMed, Medline and Embase. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Results: Eighteen studies were enrolled for analyses. Pooled overall analyses showed that rs2383206 (recessive model: P=0.002, OR = 1.22, 95%CI 1.08–1.38; allele model: P=0.003, OR = 0.90, 95%CI 0.84–0.96) and rs10757274 (allele model: P=0.006, OR = 0.91, 95%CI 0.86–0.97) variants were significantly associated with an increased risk of IS. Further subgroup analyses by ethnicity revealed that rs2383206, rs10757274 and rs10757278 variants were all significantly correlated with an increased risk of IS in Asians. Additionally, rs10757278 polymorphism was also significantly correlated with an increased risk of IS in Caucasians. Conclusions: Our findings indicated that rs2383206, rs10757274 and rs10757278 variants may impact individual susceptibility to IS in Asians. Moreover, rs10757278 polymorphism may also impact individual susceptibility to IS in Caucasians.

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

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 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

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.

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