scholarly journals The Association between Long Noncoding RNA over Expression and Poor Prognosis of Liver Cancer: A Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Leiqing Wang ◽  
Junzhi Sheng ◽  
Haojie Zhang ◽  
Baoyuan Xie ◽  
Linbiao Xiang ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Histological Grade ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Hepatic Carcinoma ◽  
Case Control Studies ◽  
Over Expression

Background. Long noncoding RNA (lncRNA) is considered to be a mediator of carcinogenesis, which may be associated with liver cancer survival. However, the relationship remains inconclusive. Meta-analysis was conducted to analytically review the association between the lncRNA expression level and clinicopathological characteristics and prognostic value of hepatic carcinoma. Materials and Methods. Four databases including Embase, PubMed, Web of Science, and the Cochrane Library were searched to collect studies about the relation between lncRNA overexpression and prognosis of liver cancer, dating from the earliest records of these databases to March 2021. Two researchers independently screened the data and literature to perform a stringent evaluation of the quality of material involved in the study. Meta-analysis was performed by Stata 16.0 software on 42 case-control studies with 6293 samples. Results. The outcomes of meta-analysis are presented as follows: lncRNA overexpression patients had later TNM stage (OR = 0.36, 95% CI (0.31, 0.41), P  < 0.001), lower histological grade (OR = 0.56, 95%CI (0.49, 0.65), P  < 0.001), more vascular invasion (OR = 2.02, 95% CI (1.74, 2.35), P  < 0.001), bigger tumor size (OR = 2.28, 95% CI (2.00, 2.60), P  < 0.001), more severe liver cirrhosis (OR = 1.39, 95% CI(0.1.16, 1.66), P  < 0.001), more likely to metastasize (OR = 1.80, 95%CI(1.49, 2.18), P  < 0.001), and more tumor numbers (OR = 0.72, 95% CI (0.62, 0.84), P  < 0.05). lncRNA over expression patients had shorter OS (HR = 2.32, 95 CI% (2.08, 2.59), P  < 0.01, RFS (HR = 2.19, 95 CI% (1.72, 2.78), P  < 0.01), and DFS (HR = 2.01, 95 CI% (1.57, 2.57), P  < 0.01). Conclusions. Overexposure of lncRNA is a poor prognostic feature for patients with hepatic carcinoma. The scope of our study was limited because of a lack of relevant research and the poor representativeness and varying quality of the studies involved in the current meta-analysis. Our conclusion still requires higher studies for further validation. This trial is clinically registered with CRD4201920620.

scholarly journals Association of dyslipidemia with the severity and mortality of coronavirus disease 2019 (COVID-19): a meta-analysis

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Yanli Liu ◽  
Yilong Pan ◽  
Yuyao Yin ◽  
Wenhao Chen ◽  
Xiaodong Li
Keyword(s):  
Fixed Effects ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Risk Of Death ◽  
Potential Association ◽  
Increased Risk ◽  
Language Restriction ◽  
Newcastle Ottawa Scale

Abstract Background The numbers of confirmed cases of coronavirus disease 2019 (COVID-19) and COVID-19 related deaths are still increasing, so it is very important to determine the risk factors of COVID-19. Dyslipidemia is a common complication in patients with COVID-19, but the association of dyslipidemia with the severity and mortality of COVID-19 is still unclear. The aim of this study is to analyze the potential association of dyslipidemia with the severity and mortality of COVID-19. Methods We searched the PubMed, Embase, MEDLINE, and Cochrane Library databases for all relevant studies up to August 24, 2020. All the articles published were retrieved without language restriction. All analysis was performed using Stata 13.1 software and Mantel–Haenszel formula with fixed effects models was used to compare the differences between studies. The Newcastle Ottawa scale was used to assess the quality of the included studies. Results Twenty-eight studies involving 12,995 COVID-19 patients were included in the meta-analysis, which was consisted of 26 cohort studies and 2 case–control studies. Dyslipidemia was associated with the severity of COVID-19 (odds ratio [OR] = 1.27, 95% confidence interval [CI] 1.11–1.44, P = 0.038, I2 = 39.8%). Further, patients with dyslipidemia had a 2.13-fold increased risk of death compared to patients without dyslipidemia (95% CI 1.84–2.47, P = 0.001, I2 = 66.4%). Conclusions The results proved that dyslipidemia is associated with increased severity and mortality of COVID-19. Therefore, we should monitor blood lipids and administer active treatments in COVID-19 patients with dyslipidemia to reduce the severity and mortality.

scholarly journals The Significance of Long Noncoding RNA H19 in Predicting Progression and Metastasis of Cancers: A Meta-Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Wei Jing ◽  
Man Zhu ◽  
Xian-wei Zhang ◽  
Zhong-ya Pan ◽  
Shan-shan Gao ◽  
...  
Keyword(s):  
Tumor Invasion ◽  
Noncoding Rna ◽  
Histological Grade ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Invasion Depth ◽  
Potential Marker ◽  
The Cochrane Library ◽  
The Relationship ◽  
Tumor Invasion Depth

Recently, numerous studies indicate that H19 plays a key role in tumorigenesis, but the results have been disputed, especially in the aspects of tumor progression and metastasis. Therefore, we performed this meta-analysis to systematically summarize the relationship between H19 and cancers. We searched PubMed, the Cochrane Library, CNKI, and Chinese Wan Fang to identify eligible studies. Odds ratios and 95% confidence intervals were calculated to assess the effect size. A total of 13 studies were enrolled in this meta-analysis, which was performed by Revman5.3 and Stata11.0 software. Our meta-analysis showed that the expression of H19 was associated with distant metastasis in nongastrointestinal tumors (OR = 3.85, 95% CI = 1.31–11.36,P=0.01) and, in gastrointestinal tumors (OR = 0.34, 95% CI = 0.15–0.78,P=0.01), lymph node metastasis (OR = 2.04, 95% CI = 1.19–3.48,P=0.009). Moreover, in gastric cancer, H19 expression was significantly related to histological grade (OR = 0.50, 95% CI = 0.29–0.86,P=0.01), TNM stage (OR = 0.19, 95% CI = 0.11–0.33,P<0.01), and tumor invasion depth (OR = 0.11, 95% CI = 0.04–0.27,P<0.01). Therefore, H19 could serve as a potential marker for progression and metastasis evaluation of cancers.

scholarly journals Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Xuefeng Jiang ◽  
Guijuan Zhang ◽  
Jieyan Wu ◽  
Shujun Lin ◽  
Yusheng Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Breast Cancer Diagnosis ◽  
Predictive Biomarker ◽  
Cochrane Library ◽  
Summary Receiver Operating Characteristic ◽  
Diagnostic Efficacy

Purpose. The detection of long noncoding RNA (lncRNA) is a novel method for breast cancer diagnosis. The purpose of this meta-analysis was to evaluate the clinical significance of lncRNAs in identification of human breast cancer. Methods. Electronic databases, including PubMed (176), EMBASE (167), Cochrane Library (4), Web of Science (273), CNKI (41), VIP (18), and wanfang (21), were searched for relevant original articles. Diagnostic capacity of lncRNAs was assessed by pooled sensitivity and specificity, area under the summary receiver operating characteristic curve (AUC), diagnostic odds ratio (DOR), and subgroup and meta-regression analysis. Stata and Meta-Disc software were used to conduct the meta-analysis. Results. 33 articles including 4500 cases were identified in our meta-analysis. lncRNAs sustained a high diagnostic efficacy; the pooled sensitivity, specificity, AUC, and DOR of lncRNAs in differentiating BC from controls were 0.74 (95% CI: 0.69-0.78), 0.78 (95% CI: 0.72-0.83), 0.82 (95% CI: 0.79-0.85), and 10.01 (95% CI: 7.13-14.06), respectively. The subgroup analysis showed that the diagnostic efficacy of lncRNAs in Asian populations was higher than that in Caucasians; lncRNAs in BC were lower than those in TNBC and were higher in plasma and serum specimens than in tissues. In addition, heterogeneity was clearly apparent but was not caused by the threshold effect. Conclusion. This meta-analysis suggested that lncRNAs might be promising biomarkers for identifying breast cancer, and its clinical application warrants further investigation.

scholarly journals Association between sepsis and retinopathy of prematurity: a systematic review and meta-analysis

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e025440 ◽  
Author(s):  
Xiaofen Wang ◽  
Kun Tang ◽  
Ling Chen ◽  
Sixiang Cheng ◽  
Huilan Xu
Keyword(s):  
Systematic Review ◽  
Cohort Studies ◽  
Premature Infants ◽  
Retinopathy Of Prematurity ◽  
Data Extraction ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Severe Stage

ObjectiveTo explore the association between sepsis and retinopathy of prematurity (ROP) in premature infants.DesignA systematic review and meta-analysis.Data sourcesWe performed a systematic search of PubMed, the Cochrane Library and Embase from 1 January, 2000, to 1 January, 2018, with no language restrictions and reported the relationship between sepsis and ROP.Eligibility criteriaOriginal observational studies, including cohort studies and case-control studies.Data extraction and synthesisTwo reviewers independently completed the study selection and data extraction. The OR and corresponding 95% CI were used to measure the risk of sepsis in patients with ROP. The heterogeneity between studies was evaluated using Cochran’s Q test and the I2statistic. The Newcastle-Ottawa Scale was adopted to evaluate the quality of each of the included studies, and the Grading of Recommendations Assessment, Development and Evaluation approach was used to assess the quality of the evidence.ResultsSixteen studies with a total sample size of 12 466 premature infants and 2494 cases of ROP were included in this meta-analysis. Adjusted analysis showed that sepsis was closely related to any stage of ROP (OR = 1.57, 95% CI 1.31 to 1.89) and severe stage of ROP (OR = 2.33, 95% CI 1.21 to 4.51) in premature infants, with 56.3% and 81.8% heterogeneity, respectively. Subgroup analyses showed that heterogeneity was obvious in prospective cohort studies (I2= 62.1%, p<0.001). In a sensitivity analysis, we found that removing any single study did not significantly change the overall effect value. The quality of the evidence was rated as low for both any stage of ROP and severe stage of ROP.ConclusionsSepsis increases the risk of ROP in preterm infants. However, considering that all included studies are observational and causality can rarely be established, additional evidence is needed to substantiate this finding and provide advice for practice.

Mobile Phone Use and Risk of Tumors: A Meta-Analysis

2009 ◽  
Vol 27 (33) ◽  
pp. 5565-5572 ◽  
Author(s):  
Seung-Kwon Myung ◽  
Woong Ju ◽  
Diana D. McDonnell ◽  
Yeon Ji Lee ◽  
Gene Kazinets ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Random Effects ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Mobile Phone Use ◽  
Methodologic Quality

Purpose Case-control studies have reported inconsistent findings regarding the association between mobile phone use and tumor risk. We investigated these associations using a meta-analysis. Methods We searched MEDLINE (PubMed), EMBASE, and the Cochrane Library in August 2008. Two evaluators independently reviewed and selected articles based on predetermined selection criteria. Results Of 465 articles meeting our initial criteria, 23 case-control studies, which involved 37,916 participants (12,344 patient cases and 25,572 controls), were included in the final analyses. Compared with never or rarely having used a mobile phone, the odds ratio for overall use was 0.98 for malignant and benign tumors (95% CI, 0.89 to 1.07) in a random-effects meta-analysis of all 23 studies. However, a significant positive association (harmful effect) was observed in a random-effects meta-analysis of eight studies using blinding, whereas a significant negative association (protective effect) was observed in a fixed-effects meta-analysis of 15 studies not using blinding. Mobile phone use of 10 years or longer was associated with a risk of tumors in 13 studies reporting this association (odds ratio = 1.18; 95% CI, 1.04 to 1.34). Further, these findings were also observed in the subgroup analyses by methodologic quality of study. Blinding and methodologic quality of study were strongly associated with the research group. Conclusion The current study found that there is possible evidence linking mobile phone use to an increased risk of tumors from a meta-analysis of low-biased case-control studies. Prospective cohort studies providing a higher level of evidence are needed.

scholarly journals Long noncoding RNA UCA1 as a novel biomarker of lymph node metastasis and prognosis in human cancer: a meta-analysis

2019 ◽  
Vol 39 (4) ◽  
Author(s):  
Congmin Liu ◽  
Jing Jin ◽  
Jin Shi ◽  
Liqun Wang ◽  
Zhaoyu Gao ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cancer Patients ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Hot Spot ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Node Metastasis ◽  
Increased Risk

AbstractBackground: Urothelial carcinoma associated 1 (UCA1), a novel long noncoding RNA (lncRNA) which is first discovered in 2006 in human bladder cancer and has become a hot spot in recent years. UCA1 has been demonstrated correlated with clinical outcomes in various cancers. However, the results from each study are insufficient and not completely consistent. Therefore, we perform a systematic meta-analysis to evaluate the value for a feasible biomarker for metastasis and prognosis of cancer. Methods: Relevant English literatures were searched in PubMed, Cochrane Library, Web of science, Embase databases and Chinese literatures were searched in Chinese National Knowledge Infrastructure Wanfang from inception up to 17 April 2018. The pooled odds ratio (OR) and hazard ratio (HR) with 95% confidence interval (CI) using random/fixed-effect were used to identify the relationship between UCA1 and lymph node metastasis (LNM) or overall survival (OS) of cancer patients. Subgroup analysis and sensitivity analysis were performed. The current meta-analysis was performed using Review Manager 5.3 and Stata 12.0 software. Results: A total of 3411 patients from 38 studies were finally included. Patients who with high UCA1 expression suffered from an increased risk of LNM (OR = 2.50; 95% CI: 1.93–3.25). UCA1 was also significantly associated with OS (HR = 2.05; 95% CI: 1.77–2.38). Subgroup analyses across several different variables also showed the similar results in LNM and OS of cancer patients. Conclusion: High expression of UCA1 was linked with poor clinical outcome. UCA1 can serve as a potential molecular marker for metastasis and prognosis in different types of cancers.

Transfusion-associated necrotizing enterocolitis in preterm infants: an updated meta-analysis of observational data

2018 ◽  
Vol 46 (6) ◽  
pp. 677-685 ◽  
Author(s):  
Parvesh Garg ◽  
Rachel Pinotti ◽  
C. Vivek Lal ◽  
Ariel A. Salas
Keyword(s):  
Necrotizing Enterocolitis ◽  
Observational Studies ◽  
Meta Analysis ◽  
Primary Objective ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Search Terms ◽  
Inverse Variance ◽  
Matched Case

Abstract Background: The number of observational studies that report an association between packed red blood cell (PRBC) transfusions and necrotizing enterocolitis (NEC) has increased. The primary objective of this study was to evaluate the association between PRBC transfusions and NEC in observational studies. Methods: Medline, Embase and Cochrane Library databases as well as the Pediatrics Academic Societies abstract archives were systematically searched to identify observational studies that investigated the association between PRBC transfusions and NEC. Key search terms included premature infant, blood transfusion and necrotizing enterocolitis. The generic inverse variance method with a random-effects model was used to meta-analyze selected studies. Odds ratios (ORs) and confidence intervals (CIs) were calculated. Results: A meta-analysis of 17 observational studies that reported the association between PRBC transfusions and NEC was performed. The meta-analysis revealed no evidence of an association between PRBC transfusions and a higher risk of NEC (OR: 0.96; 95% CI: 0.53–1.71; P=0.88). The effect estimates that suggested an association between PRBC transfusion and NEC in matched case-control studies (OR: 1.20; 95% CI: 0.58–2.47; P=0.63) differed from those reported in cohort studies (OR: 0.51; 95% CI: 0.34–0.75; P=<0.01). Conclusions: This updated meta-analysis of predominantly low-to-moderate quality observational studies suggests that there is no significant association between PRBC transfusions and NEC. A higher quality of evidence on this topic is needed.

scholarly journals Clinicopathological and Prognostic Role of Long Noncoding RNA Linc00152 in Various Human Neoplasms: Evidence from Meta-Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Chenkui Miao ◽  
Kai Zhao ◽  
Jundong Zhu ◽  
Chao Liang ◽  
Aiming Xu ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Progression Free Survival ◽  
Cochrane Library ◽  
Multiple Tumor ◽  
Multiple Neoplasms ◽  
Poor Outcomes ◽  
The Cochrane Library

Recent researches have demonstrated that long noncoding RNA linc00152 was aberrantly upregulated in multiple tumor types. High expression of linc00152 was associated with poor outcomes in cancer patients. Therefore, we conducted this meta-analysis to evaluate its potential value as a prognostic predictor in various human neoplasms. Eligible studies were searched through several electronic databases including PubMed, Embase, Web of Science, and the Cochrane Library. Eight original studies including 752 cancer patients were ultimately enrolled. Statistical analysis suggested that overexpression of linc00152 was significantly correlated with unfavorable overall survival (OS) (HR = 2.05, 95% CI: 1.59–2.64) and disease-free/progression-free survival (DFS/PFS) (HR = 3.52, 95% CI: 1.82–6.79) in cancer patients. In addition, a significant correlation was observed between aberrant linc000152 expression and lymph node metastasis (LNM) (OR = 2.49, 95% CI: 1.57–3.94) but not in vessel invasion (VI) (OR = 1.02, 95% CI: 0.54–1.93) and distant metastasis (DM) (OR = 0.600, 95% CI: 0.213–1.689). Our meta-analysis demonstrated that high linc00152 expression significantly predicted inferior OS and DFS/PFS in multiple neoplasms, as well as advanced LNM and VI. Linc00152 may serve as a potential indicator in predicting poor outcomes and metastases of diverse cancers.

scholarly journals Clinicopathological significance and prognosis of long noncoding RNA SNHG16 expression in human cancers: a meta-analysis

2020 ◽  
Author(s):  
Ruonan Jiao ◽  
Wei Jiang ◽  
Xin Wei ◽  
Mengpei Zhang ◽  
Si Zhao ◽  
...  
Keyword(s):  
Noncoding Rna ◽  
Smoking Status ◽  
Histological Grade ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Cochrane Library ◽  
Human Cancers ◽  
Potential Association ◽  
Elevated Expression ◽  
Clinicopathological Significance

Abstract Background Recent studies have highlighted the important role of long non-coding RNA SNHG16 in various human cancers. Here, we conducted a meta-analysis to investigate the effect of SNHG16 expression on clinicopathological features and prognosis in patients with different kinds of human cancers.Methods We performed a systematic search in electronic databases including PubMed, EMBASE, Cochrane Library and Web of Science, to investigate the potential association between SNHG16 expression and prognostic significance and clinical features in cancer patients. Odds ratios (ORs) or hazards ratios (HRs) with corresponding 95% confidence intervals (95% CIs) were pooled to estimate the prognosis value of SNHG16 by StataSE 15.0 software.Results A total of 16 eligible studies with 1299 patients were enrolled in our meta-analysis. The results revealed that increased expression level of SNHG16 was significantly associated with larger tumor size (OR: 3.357; 95% CI: 2.173-5.185; P < 0.001), advanced TNM stage (OR: 2.930; 95% CI: 1.522-5.640; P = 0.001) and poor histological grade (OR: 3.943; 95% CI: 1.955-7.952; P < 0.001), but not correlated with smoking status (P = 0.489), sex (P = 0.932), distant metastasis (P = 0.052), or lymph node metastasis (P = 0.155). Moreover, the pooled HR showed that elevated expression SNHG16 was associated with a significantly poorer overall survival (OS) (HR=1.866, 95% CI: 1.571-2.216, P <0.001).Conclusions LncRNA SNHG16 overexpression might serve as a convinced unfavorable prognostic factor, which provides a basis for medical workers to evaluate the prognosis of patients and to help the decision-making process.

scholarly journals Prognostic Value of Long Noncoding RNA SNHG12 in Various Carcinomas: A Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Zhi-Ran Li ◽  
Qin Yang ◽  
Tao Zhou ◽  
Yan-Hua Huang ◽  
Hua-Zhu Zhang ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Prognostic Value ◽  
Bioinformatics Analysis ◽  
Meta Analysis ◽  
Clinical Stage ◽  
Disease Free Survival ◽  
Cochrane Library ◽  
Multiple Cancers

Background. Numerous recent studies suggested that overexpression of the long noncoding RNA small nucleolar RNA host gene 12 (SNHG12) exhibited prooncogenic activity in multiple cancers. However, results regarding the prognostic value of SNHG12 in cancers still remained controversial. Therefore, we conducted a meta-analysis complemented with bioinformatics analysis to elucidate the clinical significance of SNHG12 in cancer patients. Methods. PubMed, Embase, Cochrane Library, Chinese National Knowledge Infrastructure, Wanfang, and Weipu databases were searched for eligible studies until July 2020. Additionally, bioinformatics analysis was applied to verify the results of meta-analysis. Results. Twenty-three related studies consisting of 1389 cancer patients were enrolled in the current meta-analysis. Elevated SNHG12 expression was found to be significantly associated with poor overall survival (OS) ( HR = 1.81 ; 95% CI: 1.53-2.13; P < 0.001 ) and disease-free survival (DFS) ( HR = 1.40 ; 95% CI: 1.12-1.76; P = 0.004 ) in multiple cancers, which were also verified by the results of bioinformatics analysis. Moreover, overexpression of SNHG12 was also related to clinicopathological characteristics including LNM, distant metastasis, high clinical stage, large tumor size, and poor tumor differentiation in diverse types of cancers. Conclusion. The present findings indicated that SNHG12 might act as a novel biomarker for diagnosis or prognosis in human cancers.

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