scholarly journals Upregulated Expression of LncRNA Nicotinamide Nucleotide Transhydrogenase Antisense RNA 1 is Correlated with Unfavorable Clinical Outcomes in Cancers

2020 ◽  
Author(s):  
Chenghao Zhang ◽  
Xiaolei Ren ◽  
Zhongyue Liu ◽  
Chao Tu

Abstract Background: The nicotinamide nucleotide transhydrogenase antisense RNA 1 (NNT-AS1) is a long non-coding RNA aberrantly expressed in human malignancies. We aimed to analyze available data to evaluate the correlation between NNT-AS1 expression and cancer prognosis.Methods: Literature retrieval was performed by systematic searching related databases from inception to April 2, 2020. Studies regarding correlation between NNT-AS1 expression, survival outcomes and clinical characteristics of cancer patients were collected and pooled to calculate the the hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (95% CIs).Results: Ten studies comprising 690 patients were included. Overexpression of NNT-AS1 had a significant association with unfavorable overall survival (OS) (HR=2.08, 95% CI: 1.84-2.36, P<0.001). Stratified analysis showed that tumor type, sample size, follow-up months, and survival analysis approach did not change the predictive value of NNT-AS1 on OS. Furthermore, elevated NNT-AS1 level had significant association with distant metastasis (DM) (OR=2.45, 95% CI: 1.39-4.30), lymph node metastasis (LNM) (OR=3.92, 95% CI: 1.35-11.41), TNM stage (OR=4.25, 95% CI: 1.71-10.56), and vascular invasion (OR=3.98, 95% CI: 2.06-7.71), but was not associated with age and gender. The TCGA dataset showed the NNT-AS1 expression was strongly associated with poor OS, but not disease-free survival.Conclusions: high expression of NNT-AS1 could predict unfavorable survival and clinicopathologic outcomes, indicating NNT-AS1 may serve as a novel biomarker for prognosis and therapeutic target for patients.

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Chenghao Zhang ◽  
Xiaolei Ren ◽  
Zhongyue Liu ◽  
Chao Tu

Abstract Background The nicotinamide nucleotide transhydrogenase antisense RNA 1 (NNT-AS1) is a long non-coding RNA aberrantly expressed in human malignancies. We aimed to analyze available data to evaluate the correlation between NNT-AS1 expression and cancer prognosis. Methods Literature retrieval was performed by systematic searching related databases from inception to April 2, 2020. Studies regarding correlation between NNT-AS1 expression, survival outcomes and clinical characteristics of cancer patients were collected and pooled to calculate the the hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (95% CIs). Results Ten studies comprising 699 patients were included, all of which were conducted in China according to literature selection criteria. Overexpression of NNT-AS1 had a significant association with unfavorable overall survival (OS) (HR = 2.08, 95% CI: 1.84–2.36, P < 0.001). Stratified analysis showed that tumor type, sample size, follow-up months, and survival analysis approach did not change the predictive value of NNT-AS1 on OS. Furthermore, elevated NNT-AS1 level had significant association with distant metastasis (DM) (OR = 2.45, 95% CI: 1.39–4.30), lymph node metastasis (LNM) (OR = 3.92, 95% CI: 1.35–11.41), TNM stage (OR = 4.25, 95% CI: 1.71–10.56), and vascular invasion (OR = 3.98, 95% CI: 2.06–7.71), but was not associated with age and gender. The TCGA dataset further consistently showed that the NNT-AS1 expression was associated with poor OS and disease-free survival. Conclusions High expression of NNT-AS1 is associated with unfavorable survival outcomes and poor clinicopathologic characteristics. However, large-cohort data and geographical studies are still needed to further validate the prognostic value of NNT-AS1 in cancers.


2020 ◽  
Author(s):  
Chenghao Zhang ◽  
Xiaolei Ren ◽  
Zhongyue Liu ◽  
Chao Tu

Abstract Background: The nicotinamide nucleotide transhydrogenase antisense RNA 1 (NNT-AS1) is a long non-coding RNA aberrantly expressed in human malignancies. We aimed to analyze available data to evaluate the correlation between NNT-AS1 expression and cancer prognosis. Methods: Literature retrieval was performed by systematic searching related databases from inception to April 2, 2020. Studies regarding correlation between NNT-AS1 expression, survival outcomes and clinical characteristics of cancer patients were collected and pooled to calculate the the hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (95% CIs). Results: Ten studies comprising 699 patients were included, all of which were conducted in China according to literature selection criteria. Overexpression of NNT-AS1 had a significant association with unfavorable overall survival (OS) (HR=2.08, 95% CI: 1.84-2.36, P<0.001). Stratified analysis showed that tumor type, sample size, follow-up months, and survival analysis approach did not change the predictive value of NNT-AS1 on OS. Furthermore, elevated NNT-AS1 level had significant association with distant metastasis (DM) (OR=2.45, 95% CI: 1.39-4.30), lymph node metastasis (LNM) (OR=3.92, 95% CI: 1.35-11.41), TNM stage (OR=4.25, 95% CI: 1.71-10.56), and vascular invasion (OR=3.98, 95% CI: 2.06-7.71), but was not associated with age and gender. The TCGA dataset further consistently showed that the NNT-AS1 expression was associated with poor OS and disease-free survival. Conclusions: High expression of NNT-AS1 is associated with unfavorable survival outcomes and poor clinicopathologic characteristics. However, large-cohort data and geographical studies are still needed to further validate the prognostic value of NNT-AS1 in cancers.


2020 ◽  
Author(s):  
Chenghao Zhang ◽  
Xiaolei Ren ◽  
Zhongyue Liu ◽  
Chao Tu

Abstract Background: The nicotinamide nucleotide transhydrogenase antisense RNA 1 (NNT-AS1) is a long non-coding RNA aberrantly expressed in human malignancies. We aimed to analyze available data to evaluate the correlation between NNT-AS1 expression and cancer prognosis. Methods: Literature retrieval was performed by systematic searching related databases from inception to April 2, 2020. Studies regarding correlation between NNT-AS1 expression, survival outcomes and clinical characteristics of cancer patients were collected and pooled to calculate the the hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (95% CIs). Results: Ten studies comprising 699 patients were included, all of which were conducted in China according to literature selection criteria. Overexpression of NNT-AS1 had a significant association with unfavorable overall survival (OS) (HR=2.08, 95% CI: 1.84-2.36, P<0.001). Stratified analysis showed that tumor type, sample size, follow-up months, and survival analysis approach did not change the predictive value of NNT-AS1 on OS. Furthermore, elevated NNT-AS1 level had significant association with distant metastasis (DM) (OR=2.45, 95% CI: 1.39-4.30), lymph node metastasis (LNM) (OR=3.92, 95% CI: 1.35-11.41), TNM stage (OR=4.25, 95% CI: 1.71-10.56), and vascular invasion (OR=3.98, 95% CI: 2.06-7.71), but was not associated with age and gender. The TCGA dataset further consistently showed that the NNT-AS1 expression was associated with poor OS and disease-free survival. Conclusions: High expression of NNT-AS1 is associated with unfavorable survival outcomes and poor clinicopathologic characteristics. However, large-cohort data and geographical studies are still needed to further validate the prognostic value of NNT-AS1 in cancers.


2020 ◽  
Author(s):  
Chenghao Zhang ◽  
Chao Tu ◽  
Xiaolei Ren ◽  
Wenchao Zhang ◽  
Lile He ◽  
...  

Abstract Background: Recently, dysregulation of lncRNA SNHG12 has been determined in kinds of cancers. However, definite prognostic value of SNHG12 remains unclear. We conducted this meta-analysis to evaluate the association between SNHG12 expression levels and caner prognosis.Methods: A literature retrieval was conducted by searching kinds of databases. The meta-analysis of prognostic and clinicopathological parameters was performed by using Revman 5.2 and Stata 12.0 software. Besides, The Cancer Genome Atlas dataset was analyzed to validate the results in our meta-analysis via using Gene Expression Profiling Interactive Analysis.Results: High SNHG12 expression significantly predicted worse overall survival (HR=1.97, 95%CI 1.56-2.48, P<0.01) and recurrence-free survival (HR=1.71, 95%CI 1.05-2.78, P<0.01). Tumor type, sample size, survival analysis method, and cut-off value did not alter SNHG12 prognosis value according to stratified analysis results. Additionally, patients with elevated SNHG12 expression were more prone to unfavorable clinicopathological outcomes, including larger tumor size, lymph node metastasis, distant metastasis, advanced clinical stage. Online cross-validation in TCGA dataset further proved that cancer patients with upregulated SNHG12 expression had worse overall survival and disease-free survival.Conclusion: Elevated SNHG12 expression was associated with poor survival and unfavorable clinicopathological features in various cancers, and therefore might be a potential prognostic biomarker in human cancers.


2021 ◽  
Vol 20 ◽  
pp. 153303382110049
Author(s):  
Jie Wang ◽  
Pingyong Zhong ◽  
Hao Hua

Background: The mortality and recurrence of patients with cancer is of high prevalence. SET-binding factor 2 (SBF2) antisense RNA1 (lncRNA-SBF2-AS1) is a promising long non-coding RNA. There is increasing evidence that SBF2-AS1 is abnormally expressed in various tumors and is associated with cancer prognosis. However, the identification of the effect of lncRNA SBF2-AS1 in tumors remains necessary. Materials and Methods: Up to November 2, 2020, electronic databases, including PubMed, Cochrane Library, EMBASE, Medline, and Web of Science, were searched. The results were evaluated by pooled odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (CIs). Results: A total of 11 literatures on cancer patients were included for the present meta-analysis. The combined results revealed that high expression of SBF2-AS1 was significantly associated with unfavorable overall survival (OS) (HR = 1.48, 95% CI: 1.34-1.62, P < 0.00001) in a variety of cancers. In additional, the increase in SBF2-AS1 expression was also correlated with tumor size ((larger vs. smaller) OR = 2.34, 95% CI: 1.47-3.70, P = 0.0003), advanced TNM stage ((III/IV vs. I/II) OR = 2.78, 95% CI: 1.75-4.41, P < 0.0001), lymph node metastasis ((Positive vs. Negative) OR = 3.06, 95% CI: 1.93-4.86, P < 0.00001), and histological grade ((poorly vs. well/moderately) OR = 2.58, 95% CI: 1.47-4.52, P = 0.001) in patients with cancer. Furthermore, The Cancer Genome Atlas (TCGA) dataset valuated that SBF2-AS1 was upregulated in a variety of tumors, and predicted the worse prognosis. Conclusions: Our results of this meta-analysis demonstrate that high SBF2-AS1 expression may become a potential target for predicting the prognosis of human cancers.


Author(s):  
Caihong Li ◽  
Honglan Zhu ◽  
Changlu Liu ◽  
Ya Liu ◽  
Ting Huang ◽  
...  

AbstractObjective: A number of recent clinical studies have identified a relationship between elevated expressions of 14-3-3 and poorer patient prognosis in the context of several cancers. The present meta-analysis was therefore conducted to gain an enhanced understanding of the prognostic importance of 14-3-3 levels in cancer patients. Methods: Two reviewers independently systematically reviewed the Web of Science, Embase, and PubMed databases to identify published, suitable studies through October 2019. The correlation between the level of 14-3-3 and cancer patient survival were assessed based upon pooled HR (hazard ratios) and 95% CI (confidence intervals) derived from chosen studies. Results: In total we were able to identify 22 eligible studies that had enrolled 2676 patients in the present meta-analysis. Assessment of these studies revealed that elevated 14-3-3 level correlated significantly with poorer OS (overall survival) (HR : 1.93, 95% CI : 1.42-2.61) in cancer patients. This was true even when studies were analyzed in subgroups according to tumor type, sample size, analysis type, and method of HR determination. With respect to disease-free survival (DFS), the pooled HR for cancer patients expressing high levels of 14-3-3 was 1.89 (95% CI: 1.56-2.30). Patients with elevated 14-3-3 expression also exhibited reduced CSS (cancer-specific survival) (HR: 3.47, 95% CI: 2.12-5.69).Conclusions: The outcomes indicate that higher level of 14-3-3 correlates with poorer patient prognosis in a range of cancer types.Keywords: Meta-analysis, Prognosis, 14-3-3 Proteins C Continuous...


Author(s):  
Wei Liu ◽  
Qin-Peng Wang ◽  
Jia Guo

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&lt;0.01) and DFS (HR=1.82, 95%=1.43-2.32, P&lt;0.01) in cancers. Besides, high lncRNA DANCR expression predicted deeper tumor invasion (P&lt;0.01), earlier lymph node metastasis (P&lt;0.01), earlier distant metastasis (P&lt;0.01) and more advanced clinical stage (P&lt;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.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Fei Wang ◽  
Shanliang Zhong ◽  
Haijun Zhang ◽  
Wei Zhang ◽  
Hongming Zhang ◽  
...  

Objective. MicroRNA-182 (miR-182) exhibits altered expression in various cancers. The aim of this study was to investigate the predictive value of miR-182 expression for cancer patient survival.Methods. Eligible studies were identified through multiple search strategies, and the hazard ratios (HRs) for patient outcomes were extracted and estimated. A meta-analysis was performed to evaluate the prognostic value of miR-182.Results. In total, 14 studies were included. A high miR-182 expression level predicted a worse outcome with a pooled HR of 2.18 (95% CI: 1.53–3.11) in ten studies related to overall survival (OS), especially in Chinese populations. The results of seven studies evaluating disease-free survival/relapse-free survival/recurrence-free interval/disease-specific survival (DFS/RFS/RFI/DSS) produced a pooled HR of 1.77 (95% CI: 0.91–3.43), which was not statistically significant; however, the trend was positive. When disregarding the DSS from one study, the expression of miR-182 was significantly correlated with DFS/RFS/RFI (pooled HR = 2.52, 95% CI: 1.67–3.79).Conclusions. High miR-182 expression is associated with poor OS and DFS/RFS/RFI in some types of cancers, and miR-182 may be a useful prognostic biomarker for predicting cancer prognosis. However, given the current insufficient relevant data, further clinical studies are needed.


2020 ◽  
Author(s):  
Qiang Guo ◽  
ShiXu Fang ◽  
WeiLong Gao ◽  
XiXian Ke ◽  
Cheng Chen ◽  
...  

Abstract Backgroud: To elucidate the relationship between the expression level of HOXA-AS2 and it’s prognostic value of cancer by meta-analysis. Methods: Databases of PubMed, Cochrane Library, Embase, Web of Science, Google Scholar, CNKI and some others were searched systematically. Comprehensively screen according to the inclusion criteria and the exclusion criteria was conducted. The connection between HOXA-AS2 and the prognosis characteristics of patients with various types of cancer was screened by combining odds ratio (OR), Hazard ratios (HR) and 95% confidence interval (CI) for the studies collected in this meta-analysis. In addition, we further analyzed the expression of the gene and its potential clinical value in Gene Expression Profiling Interactive Analysis (GEPIA) and the lnCAR database. Results: A total of 12 studies consisting 796 patients were included in this research. Compared low HOXA-AS2 expression group, patients with high HOXA-AS2 expression were more likely to get poor overall survival (OS). Moreover, high HOXA-AS2 expression demonstrates advanced TNM stage, earlier lymph node metastasis, distant metastasis and bigger tumor size. But there was no correlation or the correlation was not statistically significant between the expression and the age, sex or the pathological differentiation. In addition, data from the GEPIA and LnCAR databases revealed that increasing HOXA-AS2 expression means bad prognosis in most of cancers. Conclusions: High HOXA-AS2 expression shows worse cancer prognosis in cancer patients, and HOXA-AS2 may be acted as therapeutic target and promising prognostic marker.


2021 ◽  
Vol 20 ◽  
pp. 153303382110381
Author(s):  
Xiaohang Wang ◽  
Xueying Wang ◽  
Vladmir Carvalho ◽  
Qianqian Wang ◽  
Tingting Li ◽  
...  

Background: The prognostic significance of podoplanin (PDPN) in tumor cells for cancer patients’ survival remains controversial. Therefore, we performed this meta-analysis to clarify the relationship between the podoplanin-positive tumor cells and cancer prognosis. Method: Eligible studies were identified by searching the Pubmed and EBSCO online databases up to August 2019. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to evaluate the correlation between podoplanin expression and overall survival (OS) and/or disease-free survival (DFS) and odds ratios (ORs) with 95% CIs severed as the summarized statistics for clinicopathological characteristic. Results: A total of 2155 patients from 21 eligible studies were included. The results revealed that high expression of podoplanin was associated with a poor survival rate in cancer patients. Further subgroup analysis stratified by tumor type showed that podoplanin-positive tumor cell infiltration had a negative prognostic effect associated with survival in esophageal cancer and oropharyngeal cancer. In addition, high expression of these cells was significantly associated with N stage, T stage, TNM stage and vascular invasion. Conclusion: Our study suggests the over-expression of podoplanin might be a significant prognostic indicator for patients with esophageal and oropharyngeal cancer.


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