scholarly journals Significant association between long non-coding RNA HOTAIR polymorphisms and cancer susceptibility: a meta-analysis

2016 ◽  
pp. 3335 ◽  
Author(s):  
Jian Zhang ◽  
Xu Liu ◽  
Lianghao You ◽  
Ruizhi Zhou
Keyword(s):  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

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

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 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 Long non-coding RNA XIST predicts worse prognosis in digestive system tumors: a systemic review and meta-analysis

2018 ◽  
Vol 38 (3) ◽  
Author(s):  
Xuefang Liu ◽  
Xinliang Ming ◽  
Wei Jing ◽  
Ping Luo ◽  
Nandi Li ◽  
...  
Keyword(s):  
Overall Survival ◽  
Cancer Patients ◽  
Digestive System ◽  
Meta Analysis ◽  
Predictive Biomarker ◽  
Systemic Review ◽  
Cochrane Library ◽  
Expression Levels ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Increasing studies are indicating that long non-coding RNA (lncRNA) X-inactive specific transcript (XIST) is associated with the prognosis of cancer patients. However, the results have been disputed. Therefore, we aimed to further explore the prognostic value and clinical significance of XIST in various types of cancers. Then, we focussed our research on the comparison of the predictive value of XIST between digestive system tumors and non-digestive system tumors. We performed a systematic search by looking up PubMed, Embase, Cochrane Library, Web of Science, and Medline (up to 3 January 2018). Fifteen studies which matched our inclusion criteria with a total of 920 patients for overall survival and 867 patients for clinicopathological characteristics were included in this meta-analysis. Pooled hazard ratios (HR) and odds ratios (ORs) with their corresponding 95% confidence intervals (95% CIs) were calculated to summarize the effects. Our results suggested that high expression levels of XIST were associated with unfavorable overall survival in cancer patients (pooled HR = 1.81, 95% CI: 1.45–2.26). Additionally, we found that XIST was more valuable in digestive system tumors (pooled HR = 2.24, 95% CI: 1.73–2.92) than in non-digestive system tumors (pooled HR = 1.22, 95% CI: 0.60–2.45). Furthermore, elevated expression levels of XIST were connected with distant metastasis and tumor stage. XIST was correlated with poor prognosis, which suggested that XIST might serve as a novel predictive biomarker for cancer patients, especially for patients of digestive system tumors.

scholarly journals Long non-coding RNA activated by TGF-β expression in cancer prognosis: A meta-analysis

2018 ◽  
Vol 58 ◽  
pp. 37-45 ◽  
Author(s):  
Xionghu Shen ◽  
Longzhen Piao ◽  
Songnan Zhang ◽  
Yan Cui ◽  
Yuzhen Cui ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Cancer Prognosis ◽  
Non Coding Rna ◽  
Long Non Coding Rna
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