scholarly journals Meta-analysis of the association between MBD4 Glu346Lys polymorphism and cancer risk

2019 ◽  
pp. 030006051989566 ◽  
Author(s):  
Jianguo Wang ◽  
Huaxiang Shen ◽  
Huijun Liang
Keyword(s):  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Strong Association ◽  
Document Retrieval ◽  
Recessive Model ◽  
Knowledge Infrastructure ◽  
Different Populations ◽  
Risk Of Cancer ◽  
Chinese National Knowledge Infrastructure

Objective The purpose of this study was to systematically evaluate the association between methyl-CpG binding domain 4, DNA glycosylase ( MBD4) Glu346Lys polymorphism and cancer risk. Methods A comprehensive document retrieval from the Chinese National Knowledge Infrastructure (CNKI), EMBASE, and PubMed databases was performed through 1 September 2019. The strength of the correlation was assessed using the pooled odds ratio (ORs) and 95% confidence interval (CIs). Results Five relevant studies were retrieved following screening, including 1804 cases and 2193 controls. We found no association between MBD4 Glu346Lys polymorphism and cancer risk under all genetic models. Nevertheless, a subgroup analysis based on country showed a strong association in the Chinese population. Under the recessive model, Chinese individuals with the Lys/Lys genotype had a higher risk of cancer (OR = 1.37, 95% CI = 1.11–1.70). Conclusion Analysis of the MBD4 Glu346Lys polymorphism in different populations will help to elucidate the pathogenesis of cancer. The polymorphism can be utilized as a biomarker for cancer susceptibility among Chinese people.

scholarly journals Association between XRCC3 rs861539(Thr241Met) polymorphism and thyroid cancer risk (a Meta-analysis)

2021 ◽  
Author(s):  
Yayun Wu ◽  
Yun Ren ◽  
Zhimin Cao ◽  
Kai Zhang ◽  
Xiaoqiang Dong ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Recessive Model ◽  
Single Nucleotide ◽  
Knowledge Infrastructure ◽  
Xrcc3 Gene ◽  
Thyroid Cancer Risk ◽  
Chinese National Knowledge Infrastructure

Abstract Objective To explore the association between single nucleotide polymorphism (SNP) in the XRCC3 rs861539(Thr241Met) locus and thyroid cancer risk. Methods Studies investigating the association between SNP in the XRCC3 gene and thyroid cancer susceptibility were retrieved from the PubMed, Embase, Web of Science, CNKI (Chinese National Knowledge Infrastructure), WanFang, and CBM (China Biology Medicine) databases. Eligible studies were screened according to inclusion/exclusion criteria and principles of quality evaluation. Meta-analysis was performed using Stata 14.0 software. Odds ratios with their corresponding 95% confidence intervals were pooled to assess the association between SNP in the XRCC3 gene rs861539 locus and thyroid cancer susceptibility. Results 10 articles(11 studies) were eligible for this meta-analysis. Meta-analysis results were shown as follows: No significant association was found between XRCC3 rs861539 polymorphism and thyroid cancer risk in Dominant and Overdominant models〔Dominant model: CT+TT vs CC, OR=1.231, 95% CI(0.998, 1.474); Overdominant model: CT vs TT+CC, OR=1.05, 95% CI(0.94, 1.18)〕. Significant associations were found in Recessive and Allelic models〔Recessive model: TT vs CC+CT, OR=1.632, 95% CI(1.349, 1.974); Allelic model: T vs C: OR=1.263, 95% CI(1.091, 1.462)〕. Conclusion The results of this study suggest that the XRCC3 rs861539(Thr241Met) polymorphism may be associated with an increased thyroid cancer risk in overall population, and a tendency for significantly increased thyroid cancer risk in TT(Met/Met) genotype population.

scholarly journals Genetic variants in the MicroRNA biosynthetic pathway Gemin3 and Gemin4 are associated with a risk of cancer: a meta-analysis

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1724 ◽  
Author(s):  
Wenbo Zhu ◽  
Jun Zhao ◽  
Jieyu He ◽  
Daxun Qi ◽  
Lina Wang ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Biosynthetic Pathway ◽  
Web Of Science ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
Language Restriction ◽  
On Line ◽  
Risk Of Cancer

The effects of the microRNA (miRNA) processing genes Gemin3 and Gemin4 on cellular signaling pathways could have a major impact on the risk of cancer. Several studies concerning the association between the Gemin3 rs197412, Gemin4 rs7813 and Gemin4 rs2740348 polymorphisms with cancer susceptibility have been published. The present meta-analysis summarized this evidence and evaluated the precision of these relationships. Relevant studies (published prior to December 16th, 2015) without language restriction were identified using the PubMed, Web of Science and China National Knowledge Infrastructure (CNKI) on-line databases. The data were extracted from the eligible studies and were processed using Stata 12.0 software. Seven studies (2,588 cases and 2,549 controls) indicated that the rs7813 polymorphism was significantly associated with increased cancer risk (TT vs TC + CC, OR = 1.18 95% CI [1.05–1.32]). Six studies (1,314 cases and 1,244 controls) indicated that rs2740348 was associated with an increased cancer risk (GG vs. GC + CC, OR = 1.41 95% CI [1.00–1.83]). However the rs197412 polymorphism was not associated with an increased cancer risk (OR = 0.97 95% CI [0.80–1.19]). Our results suggest that the Gemin4 rs7813 T > C and rs2740348 G > C polymorphisms are associated with cancer susceptibility.

scholarly journals Association of angiotensin ІІ type 1 receptor gene A1166C polymorphism with cancer risk: An updated meta-analysis

2019 ◽  
Vol 20 (1) ◽  
pp. 147032031982720
Author(s):  
Xue Hu ◽  
Jing Chen
Keyword(s):  
Cancer Risk ◽  
Meta Analysis ◽  
Receptor Gene ◽  
Recessive Model ◽  
Cancer Type ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
A1166c Polymorphism ◽  
Risk Of Cancer

Objective: The association between angiotensin II type 1 receptor ( AGTR1) gene A1166C polymorphism and cancer risk has been investigated in many studies. However, the results have been inconclusive. A meta-analysis was performed to obtain a more precise estimation of the relationship. Methods: The PubMed and China National Knowledge Infrastructure databases were searched for published literature. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strengths of association. Results: Ten studies, including 1553 patients and 1904 controls, were included in the meta-analysis. Overall, there were no significant associations between the AGTR1 gene A1166C polymorphism and cancer risk in the general population (CC vs AA: OR = 1.09, 95% CI = 0.50–2.37; AC vs AA: OR = 1.54, 95% CI = 0.81–2.91; dominant model: OR = 1.46, 95% CI = 0.77–2.79; recessive model: OR = 1.12, 95% CI = 0.84–1.49). In a subgroup analysis by nationality and cancer type, the results also showed no association between this polymorphism and cancer risk. Conclusions: This meta-analysis demonstrated that the AGTR1 gene A1166C polymorphism does not appear to be related to the risk of cancer.

scholarly journals Heat Shock Protein 70 Gene Polymorphisms and Cancer Risk: A Meta-Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Lei He ◽  
Tao Deng ◽  
He-sheng Luo
Keyword(s):  
Heat Shock ◽  
Cancer Risk ◽  
Heat Shock Protein ◽  
Heat Shock Protein 70 ◽  
Meta Analysis ◽  
Recessive Model ◽  
Cancer Type ◽  
Case Control Studies ◽  
Knowledge Infrastructure ◽  
Risk Of Cancer

The polymorphisms in the three main heat shock protein 70 (HSP70-1, HSP70-2, and HSP70-hom) genes were identified to be associated with cancer risk. However, the results are inconsistent. We perform a meta-analysis to evaluate the association between the three HSP70 polymorphisms and cancer risk. Relevant studies were identified using PubMed, Web of Science, Chinese National Knowledge Infrastructure (CNKI), and Wanfang databases up to March 29, 2014. The cancer risk associated with the HSP70 polymorphisms was estimated for each study by odds ratios (OR) together with its 95% confidence interval (CI), respectively. Twenty case-control studies from eighteen publications were included; a significant association was observed for HSP70-2 polymorphism (dominant model: OR = 1.53, 95% CI: 1.11–2.09; recessive model: OR = 1.91, 95% CI: 1.06–3.45; AG versus AA: OR = 1.38, 95% CI: 1.03–1.84; GG versus AA: OR = 2.34, 95% CI: 1.21–4.54), while there was no significant association for HSP70-1 and HSP70-hom polymorphisms. Besides, in stratification analyses by ethnicity, cancer type, and source of control, significant association was detected for HSP70-2 polymorphism, while for HSP70-hom polymorphism, we found a significant association in hospital-based population under homozygote comparison model. This meta-analysis suggests that the HSP70-2 polymorphism rather than HSP70-hom and HSP70-1 polymorphisms was associated with the risk of cancer.

scholarly journals A Meta-Analysis of the Association between DNMT1 Polymorphisms and Cancer Risk

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Hao Li ◽  
Jing-wei Liu ◽  
Li-ping Sun ◽  
Yuan Yuan
Keyword(s):  
Cancer Risk ◽  
Dna Methyltransferase ◽  
Large Scale ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Recessive Model ◽  
Future Research ◽  
Nucleotide Polymorphisms ◽  
Knowledge Infrastructure ◽  
Strength Of Association

Previous studies have examined the associations of DNA methyltransferase 1 (DNMT1) polymorphisms, including single nucleotide polymorphisms rs16999593 (T/C), rs2228611 (G/A), and rs2228612 (A/G), with cancer risk. However, the results are inconclusive. The aim of this meta-analysis is to elucidate the associations between DNMT1 polymorphisms and cancer susceptibility. The PubMed, Embase, Web of Science, and Chinese National Knowledge Infrastructure databases were searched systematically to identify potentially eligible reports. Odd ratios and 95% confidence intervals were used to evaluate the strength of association between three DNMT1 polymorphisms and cancer risk. A total of 16 studies were finally included in the meta-analysis, namely, nine studies of 3378 cases and 4244 controls for rs16999593, 11 studies of 3643 cases and 3866 controls for rs2228611, and three studies of 1343 cases and 1309 controls for rs2228612. The DNMT1 rs2228612 (A/G) polymorphism was significantly related to cancer risk in the recessive model. The meta-analysis also suggested that DNMT1 rs16999593 (T/C) may be associated with gastric cancer, while rs2228611 (G/A) may be associated with breast cancer. In future research, large-scale and well-designed studies are required to verify these findings.

scholarly journals Effects of Two Common Polymorphisms rs2910164 in miR-146a and rs11614913 in miR-196a2 on Gastric Cancer Susceptibility

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Qing Ni ◽  
Anlai Ji ◽  
Junfeng Yin ◽  
Xiangjun Wang ◽  
Xinnong Liu
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Potential Effect ◽  
Recessive Model ◽  
Dominant Model ◽  
Common Snps ◽  
Nucleotide Polymorphisms ◽  
Gastric Cancer Risk

Background. Single nucleotide polymorphisms (SNPs) in genes encoding microRNAs may play important role in the development of gastric cancer. It has been reported that common SNPs rs2910164 in miR-146a and rs11614913 in miR-196a2 are associated with susceptibility to gastric cancer. The published results remain inconclusive or even controversial. A meta-analysis was conducted to quantitatively assess potential association between the two common SNPs and gastric cancer risk.Methods. A comprehensive literature search was performed in multiple internet-based electronic databases. Data from 12 eligible studies were extracted to estimate pooled odds ratios (ORs) and 95% confidence intervals (95% CI).Results. C allele of rs2910164 is associated with reduced gastric cancer risk in heterozygote model and dominant model whereas rs11614913 indicates no significant association. Subgroup analysis demonstrates that C allele of rs2910164 and rs11614913 may decrease susceptibility to diffuse type gastric cancer in dominant model and recessive model, respectively, while rs11614913 increased intestinal type gastric cancer in dominant model.Conclusion. SNPs rs2910164 and rs11614913 might have effect on gastric cancer risk in certain genetic models and specific types of cancer. Further well-designed studies should be considered to validate the potential effect.

Association Between LncRNA MALAT1 Polymorphisms and Cancer Risk: A Meta-Analysis Based on7007 Cases and 8791 Controls

2020 ◽  
Author(s):  
Lei Zheng ◽  
Lijuan Rong ◽  
Zhenyun Cheng
Keyword(s):  
Cancer Risk ◽  
Confidence Interval ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Dominant Model ◽  
Digestive Cancer ◽  
Increased Risk ◽  
Lncrna Malat1 ◽  
Risk Of Cancer ◽  
Allelic Model

Abstract Background: LncRNA metastasis associated with lung adenocarcinoma transcript-1 (MALAT1) was involved in pathogenesis and progress of diverse cancers. To investigate the association of MALAT1 and cancer susceptibility, this meta-analysis was appraised.Methods: 12 studies including 7007 cancer patients and 8791 controls were selected for this meta-analysis. Ratio radiation (ORS) and 95% confidence interval (CIS) were used to assess cancer susceptibility.Results: There was no significant association between rs3200401 polymorphism and the risk of cancer. However, rs3200401 was correlated with an increased risk of digestive cancer in allelic model (OR=1.15, 95%CI=1.04-1.28, P=0.009) and dominant model (OR=1.16, 95%CI=1.02-1.31, P=0.02). There was a borderline association between rs664589 and cancer susceptibility under the dominant model (OR=1.17, 95%CI=1.00-1.38, P=0.05). Rs619586 was associated with decreased cancer risk in all populations under four models (G vs A: OR=0.86, 95%CI=0.78-0.94, P=0.001; GG vs AA: OR=0.60, 95%CI=0.42-0.84, P=0.003; GG+AG vs AA: OR=0.87, 95%CI=0.78-0.97, P=0.009; GG vs AG+AA: OR=0.61, 95%CI=0.44-0.84, P=0.003). Moreover, rs1194338 was decreased associated with cancer susceptibility (A vs C: OR=0.89, 95%CI=0.80-0.98, P=0.01; AA vs CC: OR=0.77, 95%CI=0.62-0.96, P=0.02; AA+AC vs CC: OR=0.87, 95%CI=0.77-1.00, P=0.04; AA vs AC+CC: OR=0.82, 95%CI=0.67-1.00, P=0.05).Conclusion: Our results suggest that rs619586 and rs1194338 are associated with decreased cancer risk, while rs3200401 and rs664589 correlated with increased digestive cancer risk.

scholarly journals The Role of MDM4 SNP34091 A>C Polymorphism in Cancer: A Meta-Analysis on 19,328 Patients and 51,058 Controls

2017 ◽  
Vol 32 (1) ◽  
pp. 62-67 ◽  
Author(s):  
Xin Jin ◽  
Wenchao Zhao ◽  
Minghua Zheng ◽  
Peng Zhou ◽  
Tianli Niu
Keyword(s):  
Cancer Risk ◽  
Subgroup Analysis ◽  
Protective Factor ◽  
Meta Analysis ◽  
Recessive Model ◽  
Cancer Type ◽  
Chinese Populations ◽  
Breast Cancer Subgroup ◽  
Model C ◽  
Risk Of Cancer

Background Cancer is one of the leading causes of death in the world. Several observational studies have suggested a significant association of the MDM4 SNP34091 A>C polymorphism with cancers. However, the results of the published studies are inconsistent. Materials and methods PubMed, Embase/Ovid and the Chinese National Knowledge Infrastructure were searched for relevant studies with a time limit of April 20, 2016. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the strength of the association between MDM4 polymorphism and cancer risk. Publication bias was estimated using Begg's funnel plots and Egger's regression test. Results A total of 19,328 patients and 51,058 controls were included in the analysis. Overall, a significantly decreased risk of cancer was associated with MDM4 SNP34091 polymorphism for the allele model (C vs. A, OR = 0.715, 95% CI: 0.622-0.821, p = 0.000), dominant model (CC + AC vs. AA, OR = 0.684, 95% CI: 0.563-0.831, p = 0.000), recessive model (CC vs. AC + AA, OR = 1.139, 95% CI = 1.055-1.230, p = 0.001) and heterozygote model (AC vs. AA, OR = 0.687, 95% CI = 0.568-0.832). In the subgroup analysis by cancer type, no significant association was found in the breast cancer subgroup. In the subgroup analysis by geographical region, 2 genetic models, the allele and heterozygote models, showed a significant association in Chinese populations. Conclusions The results of our meta-analysis showed that the MDM4 SNP34091 A>C polymorphism may function as a protective factor against cancer risk.

scholarly journals Association between PD-1 and PD-L1 Polymorphisms and the Risk of Cancer: A Meta-Analysis of Case-Control Studies

Cancers ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1150 ◽  
Author(s):  
Mohammad Hashemi ◽  
Shima Karami ◽  
Sahel Sarabandi ◽  
Abdolkarim Moazeni-Roodi ◽  
Andrzej Małecki ◽  
...  
Keyword(s):  
Cell Death ◽  
Cancer Risk ◽  
Programmed Cell Death ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Programmed Cell Death 1 ◽  
Risk Of Cancer ◽  
The Impact

A number of case-control studies regarding the association of the polymorphisms in the programmed cell death 1 (PD-1) and programmed cell death ligand 1 (PD-L1) genes with the risk of cancer have yielded inconsistent findings. Therefore, we have conducted a comprehensive, updated meta-analysis study to identify the impact of PD-1 and PD-L1 polymorphisms on overall cancer susceptibility. The findings revealed that PD-1 rs2227981 and rs11568821 polymorphisms significantly decreased the overall cancer risk (Odds Ratio (OR) = 0.82, 95% CI = 0.68–0.99, p = 0.04, TT vs. CT+CC; OR = 0.79, 95% CI = 0.67–0.94, p = 0.006, AG vs. GG, and OR = 0.82, 95% CI = 0.70–0.96, p = 0.020, AG+AA vs. GG, respectively), while PD-1 rs7421861 polymorphism significantly increased the risk of developing cancer (OR = 1.16, 95% CI = 1.02–1.33, p = 0.03, CT vs. TT). The PD-L1 rs4143815 variant significantly decreased the risk of cancer in homozygous (OR = 0.62, 95% CI = 0.41–0.94, p = 0.02), dominant (OR = 0.70, 95% CI = 0.50–0.97, p = 0.03), recessive (OR = 0.76, 95% CI = 0.60–0.96, p = 0.02), and allele (OR = 0.78, 95% CI = 0.63–0.96, p = 0.02) genetic models. No significant association between rs2227982, rs36084323, rs10204525, and rs2890658 polymorphisms and overall cancer risk has been found. In conclusions, the results of this meta-analysis have revealed an association between PD-1 rs2227981, rs11568821, rs7421861, as well as PD-L1 rs4143815 polymorphisms and overall cancer susceptibility.

scholarly journals Association of theMDM2SNP285 Polymorphism with Cancer Susceptibility: A Meta-Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Ping Wang ◽  
Meilin Wang ◽  
Sanqiang Li ◽  
Lingjun Ma ◽  
Shoumin Xi ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Negative Regulator ◽  
Large Sample Size ◽  
Mouse Double Minute ◽  
Precise Estimation ◽  
Double Minute ◽  
Risk Of Cancer

Themouse double minute 2(MDM2) gene encodes a negative regulator for p53, and the polymorphism SNP285 in the promoter region ofMDM2gene has been implicated in cancer risk, but individual published studies had inconclusive results. Therefore, we performed this meta-analysis to obtain a more precise estimation betweenMDM2SNP285 polymorphism and risk of cancer. A systematic literature search was performed using the PubMed, Embase, and Chinese Biomedical (CBM) databases. Ultimately, 16 published studies comprising 14,573 cases and 9,115 controls were included. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the strength of associations. Overall,MDM2SNP285 polymorphism was significantly associated with a decreased overall cancer risk with the heterozygous model (OR = 0.89, 95% CI = 0.79–0.99), and reduced ORs were observed with other genetic models (dominant: OR = 0.90, 95% CI = 0.79–1.01 and allele comparison: OR = 0.91, 95% CI = 0.80–1.03) but not reaching statistical significance. Stratification analysis indicated a decreased risk for ovarian cancer, Caucasians, and studies with relatively large sample size. Despite some limitations, this meta-analysis indicated that theMDM2SNP285 polymorphism was associated with a decreased cancer risk, which warrants further validation in large and well-designed studies.

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