scholarly journals Long non-coding RNA HOXA-AS2 may serve as a new therapeutic target and promising prognostic market for most of cancers

2020 ◽  
Author(s):  
Qiang Guo ◽  
ShiXu Fang ◽  
WeiLong Gao ◽  
XiXian Ke ◽  
Cheng Chen ◽  
...  
Keyword(s):  
Therapeutic Target ◽  
Meta Analysis ◽  
Cancer Prognosis ◽  
Cochrane Library ◽  
Clinical Value ◽  
Poor Overall Survival ◽  
Interactive Analysis ◽  
Hazard Ratios ◽  
Non Coding Rna ◽  
Pathological Differentiation

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.

scholarly journals The Clinical Prognostic Value of lncRNA SBF2-AS1 in Cancer Patients: A Meta-Analysis

2021 ◽  
Vol 20 ◽  
pp. 153303382110049
Author(s):  
Jie Wang ◽  
Pingyong Zhong ◽  
Hao Hua
Keyword(s):  
Cancer Patients ◽  
Histological Grade ◽  
Meta Analysis ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Cochrane Library ◽  
Patients With Cancer ◽  
Hazard Ratios ◽  
Non Coding Rna ◽  
Tcga Dataset

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.

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

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.

scholarly journals Circulating long non-coding RNAs as potential biomarkers for stomach cancer: A systematic review and meta-analysis

2020 ◽  
Author(s):  
Fang Cao ◽  
Yongwei Hu ◽  
Zaichang Chen ◽  
Wei Han ◽  
Weijie Lu ◽  
...  
Keyword(s):  
Stomach Cancer ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Cochrane Library ◽  
Clinical Value ◽  
Summary Receiver Operating Characteristic ◽  
Non Coding Rna ◽  
Diagnostic Values ◽  
Meta Regression Analysis ◽  
Characteristic Area

Abstract Background: Recent researches have suggested that long non-coding RNA (lncRNA) is involved in the tumorigenesis and development of stomach cancer (SC). This meta-analysis aimed to identify the diagnostic performance of circulating lncRNAs in SC.Methods: All relevant studies were systematically searched through PubMed, Web of Science, Cochrane Library and EMBASE databases. The diagnostic values of lncRNAs were mainly assessed by pooled sensitivity (SEN), specificity (SPE), and summary receiver operating characteristic area under the curve (SROC AUC). Meta-DiSc 1.4, Review Manager 5.3 and STATA 12.0 were used for statistical analysis. Results: A total of 42 eligible studies were included in this meta-analysis. The pooled SEN, SPE, and AUC were 0.78 (95%CI: 0.75-0.81), 0.75 (95%CI: 0.71-0.78), and 0.83 (95%CI: 0.80-0.86) respectively, suggesting that the lncRNAs test had a high accuracy for the diagnosis of SC. Obvious heterogeneity might come from the type of lncRNA through subgroup and meta-regression analysis. Fagan diagram showed the clinical value of lncRNAs test in SC. Conclusions: Abnormal expression of circulating lncRNAs exhibits a high efficacy for diagnosing SC, which is promising in clinical application.

scholarly journals Clinicopathological and Prognostic Value of SNHG6 in Cancers: a Systematic Review and a Meta-analysis

2020 ◽  
Author(s):  
Shuo Zhang ◽  
Dandan Qiu ◽  
Xiaohong Xie ◽  
Yong Shen
Keyword(s):  
Tumor Invasion ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Tnm Stage ◽  
Invasion Depth ◽  
Clinical Value ◽  
Human Cancers ◽  
Hazard Ratios ◽  
Non Coding Rna ◽  
Tumor Invasion Depth

Abstract Background: The long non-coding RNA small nucleolar RNA host gene 16 (lncRNA SNHG6) is dysregulated in various malignant tumor. However, a definite conclusion on the clinical value of lncRNA SNHG6 expression in human cancers has not been determined. The purpose of the present meta-analysis was to comprehensively elucidate the association between SNHG6 expression and clinical outcomes in cancers.Methods: A systematic search was performed through the PubMed, Web of Science, Chinese National Knowledge Infrastructure (CNKI), and Wangfang databases for relevant studies. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were collected to estimate the prognostic value, and the odds ratios (ORs) with 95% CIs were used to evaluate the relationship between lncRNA SNHG6 expression and clinicopathological features, including tumor invasion depth, lymph node metastasis (LNM), distance metastasis (DM), and TNM stage. Results: A total of 914 patients from 13 studies were included in this meta-analysis. The pooled results suggested that evaluated SNHG6 expression could predict an unfavorable overall survival (OS) (HR = 2.04, 95% CI:1.56~2.52) with no heterogeneity (I2 = 0.0%, p = 0.996). Subgroup analysis indicated a significant association between high SNHG6 expression and shorter OS in studies with digestive system cancers (HR = 2.05, 95%CI: 1.47-2.62), sample size < 70 (HR = 2.70, 95%CI: 1.29-4.11), and univariate and multivariate analysis (HR = 2.04, 95%CI: 1.44-2.64). Moreover, high SNHG6 expression was positively correlated with tumor invasion depth (OR = 1.76, 95%CI: 1.18-2.63), LNM (OR = 1.60, 95%CI: 1.18-2.17), DM (OR = 1.90, 95%CI: 1.37-2.64) and advanced TNM stage (OR = 1.88, 95%CI: 1.36-2.60) in patients with cancers.Conclusions: High lncRNA SNHG6 expression was correlated with tumor invasion depth, LNM, DM, and advanced TNM stage, suggesting that SNHG6 may serve as a promising prognostic biomarker of human cancers.

scholarly journals Lack of Significant Association between Plasma/Serum miR-221 Expression and Poor Survival of Carcinoma: A Meta-Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Min-hua Rong ◽  
Yi-wu Dang ◽  
Gang Chen
Keyword(s):  
Potential Role ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Poor Survival ◽  
Poor Overall Survival ◽  
Altered Expression ◽  
Precise Estimation ◽  
Hazard Ratios ◽  
Significant Difference ◽  
The Relationship

Background. MicroRNAs (miRNAs) exhibit altered expression levels in cancers, and they may play a potential role as diagnostic and prognostic biomarkers of cancers. The aim of this meta-analysis was to summarize recent advances in miR-221 involvement in a variety of carcinomas and derive a more precise estimation of the relationship between circulating miR-221 level and survival of cancer patients.Methods. We searched online PubMed, EMBASE, and Cochrane Library up to August 2013 to identify relevant studies. Data were collected from studies comparing survival in patients with various carcinomas with higher miR-221 expression to those with lower levels. Pooled hazard ratios (HRs) of miR-221 for survival were calculated.Results. There were 4 studies included in the meta-analysis. The results of meta-analysis suggested that no significant difference in poor overall survival between miR-221 high and low groups (OR = 0.94, 95%, CI = 0.47–1.87,Z=0.17, andP=0.863).Conclusions. The current meta-analysis showed the equivalence of high and low plasma/serum miR-221 expression for carcinomas in terms of survival.

scholarly journals Prognostic and clinicopathological value of Ki-67 expression in patients with nasopharyngeal carcinoma: a meta-analysis

2020 ◽  
Vol 12 ◽  
pp. 175883592095134
Author(s):  
Zhaohui Shi ◽  
Weihong Jiang ◽  
Xiaodong Chen ◽  
Min Xu ◽  
Xiaocheng Wang ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Meta Analysis ◽  
Progression Free Survival ◽  
Cochrane Library ◽  
Poor Overall Survival ◽  
Ki 67 ◽  
Free Survival ◽  
Hazard Ratios ◽  
N Stage

Background: This meta-analysis aimed to identify the prognostic role of Ki-67 in patients with nasopharyngeal carcinoma (NPC). Methods: Relevant studies were retrieved in the PubMed, Embase, Web of Science, and Cochrane Library databases up to November 2019. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to estimate the association between Ki-67 expression and survival outcomes. Combined odds ratios (ORs) and 95% CIs were measured as effect size on the association between Ki-67 expression and clinical factors. Results: A total of eight studies involving 936 patients with NPC were included in this meta-analysis. The pooled HR indicated that Ki-67 expression was significantly associated with poor overall survival (HR = 2.86, 95% CI = 1.91–4.27, p < 0.001), progression-free survival (HR = 1.78, 95% CI = 1.15–2.74, p = 0.009), and distant metastasis-free survival (HR = 1.65, 95% CI = 1.15–2.36, p = 0.007). However, there was no significant correlation between Ki-67 expression and local recurrence-free survival (HR = 1.07, 95% CI = 0.54–2.14, p = 0.843). Ki-67 overexpression was associated with higher T stage (OR = 1.48, 95% CI = 1.00–2.20, p = 0.052), and the relationship between Ki-67 expression and advanced stage was nearly significant (OR = 2.25, 95% CI = 0.99–5.14, p = 0.054). However, high Ki-67 expression was not significantly correlated with sex, age, N stage, or histological type. Conclusion: This meta-analysis demonstrated that Ki-67 overexpression was a significant marker for poor prognosis in patients with NPC. Ki-67 should be recommended as a useful index for prognostication in patients with NPC.

scholarly journals Prognostic Significance of Pretreatment Apolipoprotein A-I as a Noninvasive Biomarker in Cancer Survivors: A Meta-Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Yi Zhang ◽  
Xianjin Yang
Keyword(s):  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Cancer Prognosis ◽  
Cochrane Library ◽  
China National Knowledge Infrastructure ◽  
Poor Overall Survival ◽  
Cancer Specific Survival ◽  
Free Survival ◽  
Apolipoprotein A

Background. Numerous studies have reported the prognostic significance of serum apolipoprotein A-I (ApoA-I) in various cancers, but the results have been inconsistent. The current meta-analysis was performed to investigate the association between ApoA-I level and prognosis in human malignancies. Methods. A literature search was performed using the electronic platforms of the PubMed, Cochrane Library, Web of Science, Embase, Wanfang, and China National Knowledge Infrastructure (CNKI) databases to obtain eligible articles published up to May 20, 2018. Pooled hazard ratios (HRs) with 95% confidence intervals (95% CIs) were calculated to assess the prognostic values of the ApoA-I level in cancers using STATA 12.0 software. Results. A total of 14 studies involving 9295 patients were included. The results indicated that low ApoA-I level was significantly associated with poor overall survival (OS) (HR = 0.52, 95% CI: 0.44–0.61). Significant relationships between the ApoA-I level and OS were specifically detected in nasopharyngeal carcinoma (NPC, HR = 0.63, 95% CI: 0.54–0.73), colorectal cancer (CRC, HR = 0.48, 95% CI: 0.19–0.76), and hepatocellular carcinoma (HCC, HR = 0.46, 95% CI: 0.27–0.65). The subgroup analyses for OS also further confirmed the prognostic significance of the ApoA-I level in cancers. Moreover, lower Apo A-I was associated with unfavorable cancer-specific survival (CSS, HR: 0.47, 95% CI: 0.19–0.76) in cancers, and low ApoA-I level was clearly associated with inferior total time to recurrence (TTR, HR: 0.43, 95% CI: 0.29–0.58) in HCC, poorer locoregional recurrence-free survival (LRFS) and distant metastasis-free survival (DMFS) (HR: 0.58, 95% CI: 0.42–0.74 for LRFS; HR: 0.65, 95% CI: 0.41–0.89 for DMFS) in NPC, and shorter disease-free survival (DFS, HR: 0.64, 95% CI: 0.43–0.84) in cancers. Conclusions. Low ApoA-I level might be an unfavorable prognostic factor in multiple malignancies, and serum ApoA-I could serve as a noninvasive marker to predict cancer prognosis.

scholarly journals Clinicopathological and Prognostic Value of SNHG6 in Cancers: a Systematic Review and a Meta-analysis

2020 ◽  
Author(s):  
Shuo Zhang ◽  
Dandan Qiu ◽  
Xiaohong Xie ◽  
Yong Shen
Keyword(s):  
Tumor Invasion ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Tnm Stage ◽  
Invasion Depth ◽  
Clinical Value ◽  
Human Cancers ◽  
Hazard Ratios ◽  
Non Coding Rna ◽  
Tumor Invasion Depth

Abstract Background The long non-coding RNA small nucleolar RNA host gene 16 (lncRNA SNHG6) is dysregulated in various malignant tumor. However, a definite conclusion on the clinical value of lncRNA SNHG6 expression in human cancers has not been determined. The purpose of the present meta-analysis was to comprehensively elucidate the association between SNHG6 expression and clinical outcomes in cancers. Methods A systematic search was performed through the PubMed, Web of Science, Chinese National Knowledge Infrastructure (CNKI), and Wangfang databases for relevant studies. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were collected to estimate the prognostic value, and the odds ratios (ORs) with 95% CIs were used to evaluate the relationship between lncRNA SNHG6 expression and clinicopathological features, including tumor invasion depth, lymph node metastasis (LNM), distance metastasis (DM), and TNM stage. Results A total of 914 patients from 13 studies were included in this meta-analysis. The pooled results suggested that evaluated SNHG6 expression could predict an unfavorable overall survival (OS) (HR = 2.04, 95% CI:1.56~2.52) with no heterogeneity ( I 2 = 0.0%, p = 0.996). Subgroup analysis indicated a significant association between high SNHG6 expression and shorter OS in studies with digestive system cancers (HR = 2.05, 95%CI: 1.47-2.62), sample size < 70 (HR = 2.70, 95%CI: 1.29-4.11), and univariate and multivariate analysis (HR = 2.04, 95%CI: 1.44-2.64). Moreover, high SNHG6 expression was positively correlated with tumor invasion depth (OR = 1.76, 95%CI: 1.18-2.63), LNM (OR = 1.60, 95%CI: 1.18-2.17), DM (OR = 1.90, 95%CI: 1.37-2.64) and advanced TNM stage (OR = 1.88, 95%CI: 1.36-2.60) in patients with cancers. Conclusions High lncRNA SNHG6 expression was correlated with tumor invasion depth, LNM, DM, and advanced TNM stage, suggesting that SNHG6 may serve as a promising prognostic biomarker of human cancers.

scholarly journals Prognostic and Clinicopathological Value of Ki-67 in Melanoma: A Meta-Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Qixin Liu ◽  
Ziheng Peng ◽  
Liangfang Shen ◽  
Lin Shen
Keyword(s):  
Meta Analysis ◽  
Survival Rates ◽  
Prognostic Indicator ◽  
Cochrane Library ◽  
Poor Overall Survival ◽  
Ki 67 ◽  
Expression Levels ◽  
Hazard Ratios ◽  
Melanoma Patients ◽  
The Relationship

BackgroundThe prognostic and clinicopathological value of Ki-67 in melanoma is controversial. The purpose of this meta-analysis was to determine the prognostic role of Ki-67 in melanoma patients.Materials and MethodsThe PubMed, Cochrane Library, Web of Science, and Embase databases were searched systematically up to April 9, 2021. We calculated the pooled hazard ratios (HRs) and 95% confidence intervals (CIs) to determine the relationship between Ki-67 overexpression and survival outcomes. We also calculated the combined odds ratios (ORs) and 95% CIs to determine the relationship between Ki-67 expression levels and clinicopathologic parameters. All data were statistically analyzed by Stata 11.0.ResultsA total of 10 studies involving 929 patients were included in our meta-analysis. The pooled HR showed that Ki-67 overexpression was connected with poor overall survival rates (HR=2.92, 95% CI=2.17-3.91, p&lt;0.000). However, there was no correlation between Ki-67 overexpression and the PFS (HR=0.999, 95% CI =0.958-1.041, P =0.958; I2 = 21.80%, P =0.258) or RFS (HR=1.14, 95% CI = 0.42-3.11, P =0.993; I2 = 85.00%, P =0.01) rates. Ki-67 expression levels were associated with tumor thickness, but not sex, location, ulceration or vascular invasion.ConclusionKi-67 is a useful poor prognostic indicator for melanoma patients.

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