Detecting Melanoma Antigen Family A3 Expression in Solid/Non-Solid Human Tumor

Abstract Background: MAGEA3 is a member of melanoma antigen family and has been recognized to express in many types of human cancers recently. In spite of the development of cancer vaccine, the prognostic value of MAGEA3 has not been well evaluated, due to the variability of clinical data and lack of clinical trials on the prognostic values.Method: Studies that evaluated MAGEA3 expression with a follow-up for at least 36 months were selected by searching in PubMed, WOS, Cochrane library, Embase. Published data was recorded and calculated into odds ratios (OR) for mortality in three or five years with Mantel-Haenszel random-effect model. Results: 11 studies were selected. The median positive rate was 45%. MAGEA3 always combines with worse survival on three or five years survival. The correlation between MAGEA3 and squamous carcinoma seemed stronger than adenocarcinoma on three-year OS while things got a reverse when it came to five-year OS. Most importantly, we found that all solid tumors originated from endoderm seemed to enjoy a strongest correlation among all the three germ layers.Conclusion: In this meta-analysis, we found that the expression of MAGEA3 can connect with worse outcome, and it probably can be a predictor for patients’ prognosis in clinical practice.

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The Associations between VEGF Gene Polymorphisms and Diabetic Retinopathy Susceptibility: A Meta-Analysis of 11 Case-Control Studies

Journal of Diabetes Research ◽

10.1155/2014/805801 ◽

2014 ◽

Vol 2014 ◽

pp. 1-10 ◽

Cited By ~ 19

Author(s):

Liyuan Han ◽

Lina Zhang ◽

Wenhua Xing ◽

Renjie Zhuo ◽

XiaLu Lin ◽

...

Keyword(s):

Diabetic Retinopathy ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Recessive Model ◽

Cochrane Library ◽

Published Data ◽

Case Control Studies ◽

Asian Populations ◽

Effect Model

Aims. Published data on the associations of VEGF polymorphisms with diabetic retinopathy (DR) susceptibility are inconclusive. A systematic meta-analysis was undertaken to clarify this topic.Methods. Data were collected from the following electronic databases: PubMed, Embase, OVID, Web of Science, Elsevier Science Direct, Excerpta Medica Database (EMBASE), and Cochrane Library with the last report up to January 10, 2014. ORs and 95% CIs were calculated for VEGF–2578C/A (rs699947), –1154G/A (rs1570360), –460T/C (rs833061), −634G>C (rs2010963), and +936C/T (rs3025039) in at least two published studies. Meta-analysis was performed in a fixed/random effect model by using the software STATA 12.0.Results. A total of 11 studies fulfilling the inclusion criteria were included in this meta-analysis. A significant relationship between VEGF+936C/T (rs3025039) polymorphism and DR was found in a recessive model (OR = 3.19, 95% CI = 1.20–8.41, andP(z)=0.01) in Asian and overall populations, while a significant association was also found between –460T/C (rs833061) polymorphism and DR risk under a recessive model (OR = 2.12, 95% CI = 1.12–4.01, andP(z)=0.02).Conclusions. Our meta-analysis demonstrates that +936C/T (rs3025039) is likely to be associated with susceptibility to DR in Asian populations, and the recessive model of –460T/C (rs833061) is associated with elevated DR susceptibility.

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Do Corticosteroids Affect Prenatal Biophysical Parameters? A Systematic Review and Meta-analysis

International Journal of Women s Health and Reproduction Sciences ◽

10.15296/ijwhr.2020.42 ◽

2020 ◽

Vol 8 (3) ◽

pp. 259-264

Author(s):

Sanaz Musavi ◽

Leila Nikniaz ◽

Hosein Hoseinifard ◽

Arezou Hamzehzadeh ◽

Shabnam Vazifekhah

Keyword(s):

Systematic Review ◽

Heart Rate ◽

Heart Rate Variability ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Cochrane Library ◽

Effect Model ◽

Biophysical Profile ◽

Betamethasone And Dexamethasone

This systematic review and meta-analysis aimed to evaluate the effect of betamethasone and dexamethasone on biophysical profile (BPP) parameters. In addition, it was performed in 2017, using several databases such as PubMed/MEDLINE, Scopus, EMBASE, Cochrane library, ISI Web of science, Proquest, and Google scholar, along with Magiran SID and IranMedex. Eligible studies were selected by two reviewers and the outcomes of interest were extracted as well. Meta-analysis was done using the random effect model. Further, I-square statistic test was used for heterogeneity analysis and the presence of publication bias was also checked. At last, 12 studies were included and a random and fixed effect model was used for analysis. The pooled event rates were 4.5% (95% CI = 0.01-64.3, P=0.1), 76.8% (% 95 CI=33.5-95.6, P=0.21), 71.8% (% 95 CI=38.8-91.1, P=0.18), 70.9% (%95 CI=38.4-90.5, P=0.20), and 92.3% (%95 CI=76.0-97.8, P<0.001) for the reduced amniotic fluid volume, baseline fetal heart rate reactivity, fetal breathing, fetal movement, and heart rate variability, respectively. In summary, a significant decrease was observed in heart rate variability following betamethasone and dexamethasone administration. However, further systematic reviews are necessary to differentiate steroid induced changes in the fetal BPP from those due to fetal compromise

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A Meta-Analysis and Systematic Review of the Efficacy of Twice Daily PPIs versus Once Daily for Treatment of Gastroesophageal Reflux Disease

Gastroenterology Research and Practice ◽

10.1155/2017/9865963 ◽

2017 ◽

Vol 2017 ◽

pp. 1-8 ◽

Cited By ~ 5

Author(s):

Hongying Zhang ◽

Zhiping Yang ◽

Zhen Ni ◽

Yongquan Shi

Keyword(s):

Ph Monitoring ◽

Meta Analysis ◽

Symptom Relief ◽

Random Effect ◽

Random Effect Model ◽

Mucosal Healing ◽

Cochrane Library ◽

Once Daily ◽

Effect Model ◽

Short Time

Background. To investigate whether PPIs BID is superior to QD for treatment of GERD in a short time. Methods. We searched PubMed, Cochrane Library, Scopus, EMBASE, Ovid, EBSCO, and Web of Science databases (from 1998 to May 2016) to select RCTs, which compared the efficacy of PPIs BID versus QD for GERD. The primary outcomes were symptom relief or esophageal mucosal healing at weeks 4 and 8. The M-H method with fixed-effect or random-effect model was used to calculate RR and 95% CIs. Results. Seven RCTs were enrolled. The esophageal healing rates were higher in PPIs BID group (P=0.01), and rabeprazole 20 mg BID can achieve better mucosal healing than 20 mg QD after 8 weeks (P<0.05). However, no significant differences were observed in heartburn relief (P=0.27), sustained symptom relief rates at week 4 (P=0.05), 24 h pH monitoring after treatment (P=0.11), endoscopic response at week 4 (P=0.22), and adverse events (P=0.18). Conclusion. PPIs BID more effectively improve endoscopic healing rate at week 8 than PPIs QD. But there are no significant differences in symptom relief, 24 h pH monitoring, sustained symptom relief, and endoscopic response at week 4.

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Prevalence of dry eye in patients with systemic lupus erythematosus: a meta-analysis

BMJ Open ◽

10.1136/bmjopen-2020-047081 ◽

2021 ◽

Vol 11 (9) ◽

pp. e047081

Author(s):

Lixiang Wang ◽

Yan Xie ◽

Yingping Deng

Keyword(s):

Systemic Lupus Erythematosus ◽

Dry Eye ◽

Lupus Erythematosus ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Cochrane Library ◽

Systemic Lupus ◽

Effect Model ◽

Number Of Patients

ObjectivesTo investigate dry eye disease (DED) in patients affected by systemic lupus erythematosus (SLE).MethodsWe conducted a systematic search of the literature on PubMed, EMBASE and the Cochrane Library databases from conception to 30 April 2020 for studies related to dry eye, secondary Sjögren’s syndrome (sSS) and SLE. Original full-text articles with the number of patients diagnosed with SLE of over 15 were included. The risk of bias was evaluated with a validated critical appraisal tool which assessed study quality based on confounding factors, selection bias, bias related to measurement and bias related to data analysis. Data were extracted and pooled to evaluate the overall prevalence of DED with the random-effect model and sSS with the fixed effect model.ResultsA total of 29 studies were included and 18 273 participants were involved. The pooled data showed that the overall prevalence of DED was 16% (95% CI 10% to 21%, p<0.001) in patients of SLE. Dry eye symptoms and abnormal Schirmer’s test were found in 26% (95% CI 20% to 32%, p<0.001) and 24% (95% CI 14% to 34%, p<0.001) of patients with SLE, respectively. 12% (95% CI 9% to 15%, p<0.001) of patients also met the criteria of sSS. The OR of DED in patients with SLE was 4.26 (95% CI 3.47 to 5.05, p<0.001) compared with healthy controls. The meta-regression analysis showed that the sample size (p=0.004) and study location (p=0.022) could be the source of heterogeneity.ConclusionsDED and sSS are both common in patients with SLE.

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Circulating Resistin Levels and Risk of Colorectal Cancer: A Meta-Analysis

BioMed Research International ◽

10.1155/2016/7367485 ◽

2016 ◽

Vol 2016 ◽

pp. 1-11 ◽

Cited By ~ 8

Author(s):

Gui Yang ◽

Wei Fan ◽

Baohong Luo ◽

Zhigao Xu ◽

Ping Wang ◽

...

Keyword(s):

Colorectal Cancer ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Sensitivity Analyses ◽

Published Data ◽

Significant Heterogeneity ◽

Sample Type ◽

Effect Model ◽

Mean Differences

Objectives. Published data on resistin levels in patients with colorectal cancer (CRC) were conflicting and heterogeneous. We conducted a meta-analysis of observational studies to examine the association of circulating resistin levels with carcinogenesis of the CRC.Methods. Potentially eligible studies published up to November 2015 were searched through MEDLINE, EMBASE, Science Citation Index Expanded database, CNKI, and WanFang database. The pooled weighted mean differences (WMDs) with 95% confidence intervals (CIs) calculated by fixed- or random-effect model were used to estimate the effects.Results. A total of 11 studies involving 965 patients were admitted in our meta-analysis. The pooled effects indicated that resistin levels were higher in CRC patients compared to healthy controls (WMD: 1.47 ng/mL; 95% CI: 0.78 to 2.16), with significant heterogeneity across the studies (I2=72%,p<0.0001). Subgroup analyses and sensitivity analyses revealed that study quality, design, sample type, and resistin assays may account for this heterogeneity. No publication bias was observed.Conclusions. Our meta-analysis suggests that increased circulating resistin levels are associated with greater risk of colorectal cancer. Given the limited number of available studies and significant heterogeneity, larger well-designed randomized studies are warranted.

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Efficacy and safety of apatinib in the treatment of osteosarcoma: a single-arm meta-analysis among Chinese patients

BMC Cancer ◽

10.1186/s12885-021-08154-3 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Hui Yao ◽

Xuyu Chen ◽

Xiaodong Tan

Keyword(s):

Tyrosine Kinase ◽

Kinase Inhibitor ◽

Remission Rate ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Chinese Patients ◽

Current Evidence ◽

Cochrane Library ◽

Effect Model

Abstract Background Osteosarcoma is a relatively rare malignant tumor with a high incidence in young people. The development of tyrosine kinase inhibitors has brought the treatment of osteosarcoma into a new stage. Apatinib, a tyrosine kinase inhibitor specifically targeting VEGFR2, has been increasingly reported as a treatment for osteosarcoma with promising outcome parameters, but there has been no systematic analysis of the treatment of osteosarcoma by apatinib. Methods A single-arm meta-analysis was performed, and published literature from PubMed, Web of Science, Embase, Cochrane Library, CNKI and Wan Fang databases as of March 1, 2021 was systematically retrieved. Quality assessment is carried out in accordance with a 20 item checklist form prepared by the Institute of Health Economics (IHE). Double arcsine transformation is performed to stabilize the variance of the original ratio. When I2 > 50%, the random effect model is used to calculate the pooled parameters; otherwise, the fixed effect model is used. We conducted subgroup analysis according to age and apatinib dose. Results This meta-analysis included 11 studies of 356 Chinese patients with osteosarcoma. The pooled objective remission rate (ORR) of advanced or metastatic osteosarcoma treated by oral apatinib in Chinese patients was 0.27(95%CI = 0.18–0.38). The pooled disease control rate (DCR) was 0.57 (95%CI = 0.42–0.72). The pooled median progression-free survival (mPFS) and median total survival (mOS) were 5.18 months (95%CI = 4.03–6.33) and 10.87 months (95% CI = 9.40–12.33), respectively. More than 70% of adverse reactions were mild, the most common adverse reaction was hand-foot syndrome (HFMD), with an incidence of 0.46 (95%CI = 0.35–0.58), the second was hypertension, with an incidence of 0.40 (95%CI = 0.29–0.51). Conclusions The efficacy of apatinib in the treatment of osteosarcoma is competitive with current evidence, and it is worth noting that its low cost can significantly improve patient compliance and increase therapeutic value.

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Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

10.21203/rs.2.16320/v2 ◽

2020 ◽

Author(s):

Hai-bo Gong ◽

Shu-tao Gao ◽

Xiong-Ming Pu ◽

Xiao-jing Kang ◽

Xiu-juan Wu

Keyword(s):

Gene Polymorphisms ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Original Data ◽

Case Control ◽

Cochrane Library ◽

Case Control Studies ◽

China National Knowledge Infrastructure ◽

Effect Model

Abstract Background: To date, The pathological mechanisms underlying the occurrence and development of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. This study aimed to investigate the association between TNFAIP3 and TNIP1 gene polymorphisms with psoriasis susceptibility. Methods: Comprehensive literature search was undertook across four online databases—PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI) up to August 25, 2019. Allele model of inheritance was used to analyze the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. Pooled odds ratios and 95% confidence intervals were calculated using the RevMan 5.3 software. Results: In all, 13 case-control studies comprising 13,908 psoriasis patients and 20,051 controls were identified and included in this meta-analysis. The results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random effect model (G vs. T, OR = 1.19, 95 % CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001). Conclusions: This meta-analysis indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

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Urinary and Blood MicroRNA-126 and -770 are Potential Noninvasive Biomarker Candidates for Diabetic Nephropathy: a Meta-Analysis

Cellular Physiology and Biochemistry ◽

10.1159/000489148 ◽

2018 ◽

Vol 46 (4) ◽

pp. 1331-1340 ◽

Cited By ~ 17

Author(s):

Sungjin Park ◽

SeongRyeol Moon ◽

Kiyoung Lee ◽

Ie Byung Park ◽

Dae Ho Lee ◽

...

Keyword(s):

Diabetic Nephropathy ◽

Clinical Studies ◽

English Language ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Microrna Expression ◽

Cochrane Library ◽

P Value ◽

Published Data

Background/Aims: Diabetic nephropathy (DN), a major diabetic microvascular complication, has a long and growing list of biomarkers, including microRNA biomarkers, which have not been consistent across preclinical and clinical studies. This meta-analysis aims to identify significant blood- and urine-incident microRNAs as diagnostic/prognostic biomarker candidates for DN. Methods: PubMed, Web of Science, and Cochrane Library were searched from their earliest records through 12th Dec 2016. Relevant publications for the meta-analysis included (1) human participants; (2) microRNAs in blood and urine; (3) DN studies; and (4) English language. Four reviewers, including two physicians, independently and blindly extracted published data regarding microRNA profiles in blood and/or urine from subjects with diabetic nephropathy. A random-effect model was used to pool the data. Statistical associations between diabetic nephropathy and urinary or blood microRNA expression levels were assessed. Results: Fourteen out of 327 studies (n=2,747 patients) were selected. Blood or urinary microRNA expression data of diabetic nephropathy were pooled for this analysis. The hsa-miR-126 family was significantly (OR: 0.57; 95% CI: 0.44-0.74; p-value < 0.0001) downregulated in blood from patients with diabetic kidney disease, while its urinary level was upregulated (OR: 2931.12; 95% CI: 9.96-862623.21; p-value = 0.0059). The hsa-miR-770 family microRNA were significantly (OR: 10.24; 95% CI: 2.37-44.25; p-value = 0.0018) upregulated in both blood and urine from patients with diabetic nephropathy. Conclusions: Our meta-analysis suggests that hsa-miR-126 and hsa-miR-770 family microRNA may have important diagnostic and pathogenetic implications for DN, which warrants further systematic clinical studies.

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Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

10.21203/rs.2.16320/v1 ◽

2019 ◽

Author(s):

Hai-bo Gong ◽

Shu-tao Gao ◽

Xiong-ming Pu ◽

Xiao-jing Kang ◽

Xiu-juan Wu

Keyword(s):

Gene Polymorphisms ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Original Data ◽

Case Control ◽

Cochrane Library ◽

Case Control Studies ◽

China National Knowledge Infrastructure ◽

Effect Model

Abstract Background: To date, The pathological mechanisms underlying the occurrence and development of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. This study aimed to investigate the association between TNFAIP3 and TNIP1 gene polymorphisms with psoriasis susceptibility.Methods Comprehensive literature search was undertook across four online databases—PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI) up to August 25, 2019. Allele model of inheritance was used to analyze the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. Pooled odds ratios and 95% confidence intervals were calculated using the RevMan 5.3 software.Results In all, 13 case-control studies comprising 13,908 psoriasis patients and 20,051 controls were identified and included in this meta-analysis. The results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random effect model (G vs. T, OR = 1.19, 95% CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001).Conclusions This meta-analysis indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

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Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

10.21203/rs.2.16320/v3 ◽

2020 ◽

Author(s):

Hai-bo Gong ◽

Shu-tao Gao ◽

Xiong-ming Pu ◽

Xiao-jing Kang ◽

Xiu-juan Wu

Keyword(s):

Gene Polymorphisms ◽

Genetic Model ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Case Control ◽

Cochrane Library ◽

Case Control Studies ◽

China National Knowledge Infrastructure ◽

Effect Model

Abstract Background: To date, the fundamental pathophysiology underlying the occurrence and progression of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. Here, we intended to conduct a survey on the association between TNFAIP3 and TNIP1 gene polymorphisms and psoriasis risk.Methods: A comprehensive search of four online databases—China National Knowledge Infrastructure (CNKI), PubMed, Embase, and Cochrane Library was undertaken up to August 25, 2019. We chose allele genetic model to deal with the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. The RevMan 5.3 software was used to calculate the combined odds ratio and 95% confidence interval.Results: In total, we included 13 case-control studies consist of 13,908 psoriasis patients and 20,051 controls in this work. Our results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random-effect model (G vs. T, OR = 1.19, 95 % CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed-effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001).Conclusions: Our findings indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

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