Association of ADH1B Arg47His polymorphism with the risk of cancer: a meta-analysis

Abstract Alcohol consumption has been established to be a major factor in the development and progress of cancer. Genetic polymorphisms of alcohol-metabolism genes result in differences between individuals in exposure to acetaldehyde, leading to possible carcinogenic effects. Arg47His (rs1229984 G > A) in ADH1B have been frequently studied for its potential effect on carcinogenesis. However, the findings are as yet inconclusive. To gain a more precise estimate of this potential association, we conducted a meta-analysis including 66 studies from 64 articles with 31999 cases and 50964 controls. The pooled results indicated that ADH1B Arg47His polymorphism is significantly associated with the decreased risk of overall cancer (homozygous model, odds ratio (OR) = 0.62, 95% confidence interval (CI) = 0.49–0.77; heterozygous model, OR = 0.71, 95% CI = 0.60–0.84; recessive model, OR = 0.83, 95% CI = 0.76–0.91; dominant model, OR = 0.62, 95% CI = 0.53–0.72; and allele comparison, OR = 0.82, 95% CI = 0.75–0.89). Stratified analysis by cancer type and ethnicity showed that a decreased risk was associated with esophageal cancer and head and neck cancer amongst Asians. In conclusion, our meta-analysis suggested that ADH1B Arg47His polymorphism was significantly associated with decreased overall cancer risk. These findings need further validation in large multicenter investigations.

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The effect of LTA gene polymorphisms on cancer risk: an updated systematic review and meta- analysis

Bioscience Reports ◽

10.1042/bsr20192320 ◽

2020 ◽

Vol 40 (5) ◽

Author(s):

Jingdong Li ◽

Yaxuan Wang ◽

Xueliang Chang ◽

Zhenwei Han

Keyword(s):

Cancer Risk ◽

Gene Polymorphisms ◽

Meta Analysis ◽

Cancer Type ◽

Non Hodgkin Lymphoma ◽

Increased Risk ◽

Lymphotoxin Alpha ◽

Stratified Analysis ◽

Lymphotoxin Α ◽

Risk Of Cancer

Abstract Purpose: To provide a comprehensive account of the association of five Lymphotoxin-α (LTA) gene polymorphisms (rs1041981, rs2229094, rs2239704, rs746868, rs909253) with susceptibility to cancer. Methods: A literature search for eligible candidate gene studies published before 28 February 2020 was conducted in the PubMed, Medline, Google Scholar and Web of Science. The following combinations of main keywords were used: (LTA OR Lymphotoxin alpha OR TNF-β OR tumor necrosis factor-beta) AND (polymorphism OR mutation OR variation OR SNP OR genotype) AND (cancer OR tumor OR neoplasm OR malignancy OR carcinoma OR adenocarcinoma). Potential sources of heterogeneity were sought out via subgroup and sensitivity analysis, and publication bias were estimated. Results: Overall, a total of 24 articles with 24577 cases and 33351 controls for five polymorphisms of LTA gene were enrolled. We identified that rs2239704 was associated with a reduced risk of cancer. While for other polymorphisms, the results showed no significant association with cancer risk. In the stratified analysis of rs1041981, we found that Asians might have less susceptibility to cancer. At the same time, we found that rs2239704 was negatively correlated with non-Hodgkin lymphoma (NHL). While, for rs909253, an increased risk of cancer for Caucasians and HCC susceptibility were uncovered in the stratified analysis of by ethnicity and cancer type. Conclusion: LTA rs2239704 polymorphism is inversely associated with the risk of cancer. LTA rs1041981 polymorphism is negatively associated with cancer risk in Asia. While, LTA rs909253 polymorphism is a risk factor for HCC in Caucasian population.

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

The International Journal of Biological Markers ◽

10.5301/jbm.5000228 ◽

2017 ◽

Vol 32 (1) ◽

pp. 62-67 ◽

Cited By ~ 2

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.

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

Journal of the Renin-Angiotensin-Aldosterone System ◽

10.1177/1470320319827207 ◽

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.

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The association between adiponectin gene rs182052 polymorphism and cancer risk: a meta-analysis

Bioscience Reports ◽

10.1042/bsr20192410 ◽

2020 ◽

Vol 40 (6) ◽

Author(s):

Li-Fang Wu ◽

Gui-Ping Xu ◽

Qing Zhao ◽

Ding Wang ◽

Li-Jing Zhou ◽

...

Keyword(s):

Renal Cell Carcinoma ◽

Cancer Risk ◽

Web Of Science ◽

Meta Analysis ◽

Cancer Type ◽

Adiponectin Gene ◽

Allele Homozygote ◽

Epidemiology Studies ◽

Stratified Analysis ◽

Risk Of Cancer

Abstract Background: The evidence for an association between the adiponectin gene (ADIPOQ) polymorphism rs182052 and cancer risk is inconsistent. We performed a meta-analysis to obtain more precise conclusions. Methods: The PubMed, Embase, and Web of Science databases were searched until July 11, 2019. And seven epidemiology studies were retrieved, including 4,929 cases and 5,625 controls. Odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) were calculated to evaluate the strength of the association. Results: The meta-analysis demonstrated that rs182052 significantly increased the risk of cancer under the allele, homozygote, dominant, and recessive models, based on an overall analysis (A vs. G: OR, 1.09, 95% CI, 1.03–1.15, P=0.003; AA vs. GG: OR, 1.20, 95% CI, 1.07–1.34, P=0.002; AA+GA vs. GG: OR, 1.12, 95% CI, 1.03–1.22, P=0.010; AA vs. GA+GG: OR, 1.12, 95% CI, 1.01–1.23, P=0.025). In the stratified analysis by ethnicity, rs182052 significantly increased the cancer risk in both Asian and Caucasian populations under one or several genetic models. In the stratified analysis by cancer type, rs182052 significantly increased the risk of renal cell carcinoma (RCC) under the five models. Conclusions: Meta-analysis based on present studies suggests that rs182052 can increase the cancer risk.

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

The Scientific World JOURNAL ◽

10.1155/2014/540309 ◽

2014 ◽

Vol 2014 ◽

pp. 1-9 ◽

Cited By ~ 4

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.

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The association between XRCC3 rs1799794 polymorphism and cancer risk: a meta-analysis of 34 case–control studies

BMC Medical Genomics ◽

10.1186/s12920-021-00965-4 ◽

2021 ◽

Vol 14 (1) ◽

Author(s):

Weiqing Liu ◽

Shumin Ma ◽

Lei Liang ◽

Zhiyong Kou ◽

Hongbin Zhang ◽

...

Keyword(s):

Breast Cancer ◽

Ovarian Cancer ◽

Thyroid Cancer ◽

Cancer Risk ◽

Large Scale ◽

Meta Analysis ◽

Cochrane Library ◽

Cancer Type ◽

Increased Risk ◽

Risk Of Cancer

Abstract Background Studies on the XRCC3 rs1799794 polymorphism show that this polymorphism is involved in a variety of cancers, but its specific relationships or effects are not consistent. The purpose of this meta-analysis was to investigate the association between rs1799794 polymorphism and susceptibility to cancer. Methods PubMed, Embase, the Cochrane Library, Web of Science, and Scopus were searched for eligible studies through June 11, 2019. All analyses were performed with Stata 14.0. Subgroup analyses were performed by cancer type, ethnicity, source of control, and detection method. A total of 37 studies with 23,537 cases and 30,649 controls were included in this meta-analysis. Results XRCC3 rs1799794 increased cancer risk in the dominant model and heterozygous model (GG + AG vs. AA: odds ratio [OR] = 1.04, 95% confidence interval [CI] = 1.00–1.08, P = 0.051; AG vs. AA: OR = 1.05, 95% CI = 1.00–1.01, P = 0.015). The existence of rs1799794 increased the risk of breast cancer and thyroid cancer, but reduced the risk of ovarian cancer. In addition, rs1799794 increased the risk of cancer in the Caucasian population. Conclusion This meta-analysis confirms that XRCC3 rs1799794 is related to cancer risk, especially increased risk for breast cancer and thyroid cancer and reduced risk for ovarian cancer. However, well-designed large-scale studies are required to further evaluate the results.

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

Gastroenterology Research and Practice ◽

10.1155/2015/764163 ◽

2015 ◽

Vol 2015 ◽

pp. 1-10 ◽

Cited By ~ 6

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.

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The association of FOXP3 gene polymorphisms with cancer susceptibility: a comprehensive systemic review and meta-analysis

Bioscience Reports ◽

10.1042/bsr20181809 ◽

2019 ◽

Vol 39 (3) ◽

Author(s):

Yan Chen ◽

Xiaoxue Qi ◽

Ce Bian ◽

Chen Ling ◽

Tao Yi ◽

...

Keyword(s):

Gene Polymorphisms ◽

Chinese Population ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Systemic Review ◽

Cancer Type ◽

Case Control Studies ◽

Foxp3 Gene ◽

Cancer Types ◽

Risk Of Cancer

Abstract The role of forkhead box P3 (FOXP3) protein in tumorigenesis has long been controversial and existing data on the association between FOXP3 gene polymorphisms and cancer susceptibility were inconsistent. Here, we conducted a meta-analysis to better clarify the relationship. A comprehensive search of studies published from July 2008 to June 2018 was conducted. The statistical analyses of the pooled odds ratios (ORs) and the corresponding 95% confidence intervals (95% CIs) were performed using the Revman 5.2 software. A total of 12 articles with 19 case–control studies and 10389 participants were included. Three FOXP3 polymorphisms and six cancer types were evaluated. While no significant results were observed in overall and breast cancer groups for rs3761548 (A/C) polymorphisms, the pooled data showed an elevated risk of cancer in variant AA genotypes and A allele for Chinese population (AA vs. AC+CC: OR = 1.61, 95% CI = 1.09, 2.39; AA vs. CC: OR = 1.74, 95% CI = 1.05, 2.89; A vs. C: OR = 1.34, 95% CI = 1.00, 1.78). Neither the overall group analyses nor the subgroup analyses stratified by cancer type and ethnicity proposed any significant association of rs2280883 (C/T) and rs3761549 (T/C) polymorphisms with cancer susceptibility. This meta-analysis suggested that FOXP3 rs3761548 (A/C) polymorphisms were associated with increased cancer risk in Chinese population while rs2280883 (C/T) and rs3761549 (T/C) polymorphisms were not. More large-sample researches with diverse ethnicities and cancer types are needed to draw a concrete conclusion.

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Low-dose aspirin use and cancer-specific mortality: a meta-analysis of cohort studies

Journal of Public Health ◽

10.1093/pubmed/fdz114 ◽

2019 ◽

Cited By ~ 1

Author(s):

Xianmin Wang ◽

Yupeng Luo ◽

Tingting Chen ◽

Kui Zhang

Keyword(s):

Cohort Studies ◽

Low Dose ◽

Meta Analysis ◽

Cancer Type ◽

Dose Aspirin ◽

Increased Risk ◽

Low Dose Aspirin ◽

Specific Mortality ◽

Cancer Specific Mortality ◽

Risk Of Cancer

ABSTRACT Background Considering the increased risk of bleeding caused by aspirin, and the observed benefit in all-cause mortality may be due to an improvement in cardiovascular-related mortality. We carried out this meta-analysis to estimate the association of low-dose aspirin use and risk of cancer-specific mortality. Methods We searched the PubMed and China National Knowledge Infrastructure (CNKI) databases for all articles within a range of published years from 1980 to 2018. Results Finally, 13 published cohort studies with 65 768 patients were available for estimating overall risk of cancer-specific mortality associating with post-diagnosis low-dose aspirin use, and 4 cohort studies were available for pre-diagnosis low-dose aspirin use with 16 654 patients. Overall, statistical evidence of significantly decreased cancer-specific mortality was found to be associated with post-diagnosis low-dose aspirin use (OR = 0.84, 95% CI = 0.75–0.93), but not with pre-diagnosis low-dose aspirin use. In terms of subgroup analyses by cancer type, post-diagnosis low-dose aspirin use was significantly with decreased cancer-specific mortality for digestive tract cancer including colorectal cancer, esophageal cancer and gastric cancer. Conclusion Our meta-analysis indicated that post-diagnosis but not pre-diagnosis low-dose aspirin use may reduce cancer-specific mortality.

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Vitamin D receptor Bsm I polymorphism and osteoporosis risk in postmenopausal women: a meta-analysis from 42 studies

Genes & Nutrition ◽

10.1186/s12263-020-00679-9 ◽

2020 ◽

Vol 15 (1) ◽

Author(s):

Jun Long Liao ◽

Qiang Qin ◽

Yong Sheng Zhou ◽

Ru Ping Ma ◽

He Chao Zhou ◽

...

Keyword(s):

Gene Polymorphism ◽

Postmenopausal Women ◽

Meta Analysis ◽

Additive Model ◽

Recessive Model ◽

Case Control Studies ◽

Genotype Frequencies ◽

Increased Risk ◽

Stratified Analysis ◽

Osteoporosis Risk

Abstract Objective This study aimed to quantitatively summarize the evidence for VDR BsmI gene polymorphism and osteoporosis risk in postmenopausal women. Materials and methods The PubMed, EMBASE, Weipu, CNKI, and Wanfang databases were searched for eligible studies. Case-control studies containing available genotype frequencies of B/b were chosen, and odds ratio (OR) with 95% confidence interval (CI) was used to assess the strength of this association. Results 4485 osteoporosis and 5490 controls were identified in our meta-analysis. In the stratified analysis, a significant association was observed between VDR BsmI gene polymorphism and osteoporosis susceptibility in Caucasians (additive model: OR = 0.809, 95% CI 0.678~0.965, p = 0.019; recessive model: OR = 0.736, 95% CI 0.568~0.955, p = 0.021; and co-dominant model: bb vs. BB OR = 0.701, 95% CI 0.511~0.962 p = 0.028), and we failed to find any significant relationship in Asians. Conclusion The present meta-analysis suggests that VDR BsmI genotype is associated with increased risk of postmenopausal osteoporosis in Caucasians but not in Asians. To draw comprehensive and true conclusions, further prospective studies with larger numbers of participants worldwide are needed to examine associations between VDR BsmI polymorphism and osteoporosis in postmenopausal women.

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