Long non-coding RNA NEAT1 overexpression is associated with poor prognosis in cancer patients: a systematic review and meta-analysis

Owing to metastases and drug resistance, the prognosis of breast cancer is still dismal. Therefore, it is necessary to find new prognostic markers to improve the efficacy of breast cancer treatment. Literature shows a controversy between moesin (MSN) expression and prognosis in breast cancer. Here, we aimed to conduct a systematic review and meta-analysis to evaluate the prognostic relationship between MSN and breast cancer. Literature retrieval was conducted in the following databases: PubMed, Web of Science, Embase, and Cochrane. Two reviewers independently performed the screening of studies and data extraction. The Gene Expression Omnibus (GEO) database including both breast cancer gene expression and follow-up datasets was selected to verify literature results. The R software was employed for the meta-analysis. A total of 9 articles with 3,039 patients and 16 datasets with 2,916 patients were ultimately included. Results indicated that there was a significant relationship between MSN and lymph node metastases (P < 0.05), and high MSN expression was associated with poor outcome of breast cancer patients (HR = 1.99; 95% CI 1.73–2.24). In summary, there is available evidence to support that high MSN expression has valuable importance for the poor prognosis in breast cancer patients.Systematic Review Registrationhttps://inplasy.com/inplasy-2020-8-0039/.

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

Medicine ◽

10.1097/md.0000000000013548 ◽

2018 ◽

Vol 97 (49) ◽

pp. e13548 ◽

Cited By ~ 2

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

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Hypermethylation of the SEPT9 Gene Suggests Significantly Poor Prognosis in Cancer Patients: A Systematic Review and Meta-Analysis

Frontiers in Genetics ◽

10.3389/fgene.2019.00887 ◽

2019 ◽

Vol 10 ◽

Cited By ~ 2

Author(s):

Na Shen ◽

Ting Wang ◽

Delei Li ◽

Yaowu Zhu ◽

Huaping Xie ◽

...

Keyword(s):

Systematic Review ◽

Cancer Patients ◽

Poor Prognosis ◽

Meta Analysis

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

Bioscience Reports ◽

10.1042/bsr20180169 ◽

2018 ◽

Vol 38 (3) ◽

Cited By ~ 7

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.

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

10.21203/rs.3.rs-73480/v1 ◽

2020 ◽

Author(s):

Weiwei Chen ◽

Yuting Li ◽

Liliangzi Guo ◽

Chenxing Zhang ◽

Shaohui Tang

Keyword(s):

Poor Prognosis ◽

Meta Analysis ◽

Clinical Stage ◽

Predictive Marker ◽

Cochrane Library ◽

Patients With Cancer ◽

Hazard Ratios ◽

Non Coding Rna ◽

Long Non Coding Rna

Abstract Background Several studies assessed the relationship between FTX expression level and clinicopathological features and survival outcomes in patients with cancer, but these results were conflicting. This meta-analysis aimed to synthesize existing data to clarify the association of FTX with prognosis of cancers. Methods Electronic databases of 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 In total, 11 studies compromising 1210 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 associated with lymph node metastasis, distant metastasis, tumor size and TNM/clinical stage. More importantly, the pooled results from survival analysis revealed that there was a significant correlation between high FTX expression and a shorter OS in patients with HCC, CRC, GC, OSC, and glioma, and that 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, and high FTX expression be associated with a poor prognosis in patients with CRC, HCC, OSC, and glioma.

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