scholarly journals Association of Interleukin-10 Polymorphism (rs1800896, rs1800871, and rs1800872) with Breast Cancer Risk: an Updated Meta-Analysis Based on Different Ethnic Groups

2021 ◽  
Author(s):  
Li-Jun Li ◽  
Memg-Ling Cao ◽  
Dong-Hua Li ◽  
Wei Xiong ◽  
Jiangang Cao
Keyword(s):  
Breast Cancer ◽  
Gene Polymorphism ◽  
Genetic Model ◽  
Meta Analysis ◽  
Asian Population ◽  
Risk Groups ◽  
Interleukin 10 ◽  
Population Based ◽  
Genotypic Characteristics ◽  
Allelic Model

Abstract Background: There have been various publications stating that IL-10 gene polymorphism is connected with the risk of breast cancer.This study was to further evaluate the association between IL-10 gene polymorphism and breast cancer (BC).Methods: Articles from PubMed, Web of Knowledge, Embase, CNKI databases, China biomedical (CBM), and Google Scholar before March 29, 2020. The data was analyzed by Revman5.3 and Stata 12.0 software, and the strength of the association was identified using the odds ratio (OR) and the corresponding 95% confidence interval (CI).Results: A total of 23 studies (7250 cancer cases and 7675 case-free controls) were eligible for the mate-analysis. The results show that IL-10 gene polymorphisms has no association with BC risk in any genetic model of the general population. However, there is significantly correlated with BC risk based on subgroup analysis by ethnicity: rs1800896 polymorphism are significantly associated with the risk of BC in Asian population based on the four models (G vs. A: OR= 0.78, 95% CI=0.65-0.95, P= 0.01; GG vs. AA: OR=0.51, 95% CI=0.31-0.84, P=0.007; GA vs. AA: OR=0.6, 95% CI=0.44-0.81, P=0.0009; GG+GA vs. AA: OR=0.6, 95% CI=0.45-0.81, P= 0.0007); rs1800871 polymorphism has association with BC risk in Caucasian population based on the Heterozygous model (CT vs. TT: OR=1.8, 95% CI =1.03-3.13, P=0.04). rs1800872 homozygous model was associated with the BC risk in Asians(AA vs CC: OR=0.74, 95%CI =0.55-0.99, P =0.04), and allelic model was associated with BC risk among Asians (A vs C: OR= 0.85, 95% CI =0.74-0.98, P= 0.03) and among Caucasians (A vs C: OR= 0.65, 95% CI 0.43-0.98, P =0.04). Conclusion: IL-10 gene polymorphism rs1800896 and rs1800872 significantly increased the risk of breast cancer in Asians, while rs1800871 was associated with the risk of breast cancer in Caucasians. Therefore, vulnerable individuals can be identified by genotypic characteristics, and the diseases can be prevented through interventions aimed at high-risk groups.

scholarly journals Association of interleukin 10 rs1800896 polymorphism with susceptibility to breast cancer: a meta-analysis

2020 ◽  
Vol 48 (4) ◽  
pp. 030006052090486 ◽  
Author(s):  
ZiYin Zhu ◽  
Ji-Bin Liu ◽  
Xi Liu ◽  
LinXue Qian
Keyword(s):  
Breast Cancer ◽  
Meta Analysis ◽  
Interleukin 10 ◽  
Population Based ◽  
Case Control ◽  
Recessive Model ◽  
Breast Cancers ◽  
Case Control Studies ◽  
Asian Populations ◽  
Increased Risk

Objective To evaluate the correlation between interleukin 10 (IL-10) −1082A/G polymorphism (rs1800896) and breast cancers by performing a meta-analysis. Methods The Embase and Medline databases were searched through 1 September 2018 to identify qualified articles. Odds ratios (OR) and corresponding 95% confidence intervals (CIs) were applied to evaluate associations. Results In total, 14 case-control studies, including 5320 cases and 5727 controls, were analyzed. We detected significant associations between the IL10 −1082 G/G genotype and risk of breast cancer (AA + AG vs. GG: OR = 0.88, 95% CI = 0.80–0.97). Subgroup analyses confirmed a significant association in Caucasian populations (OR = 0.89, 95% CI = 0.80–0.99), in population-based case-control studies (OR = 0.87, 95% CI = 0.78–0.96), and in studies with ≥500 subjects (OR = 0.88, 95% CI = 0.79–0.99) under the recessive model (AA + AG vs. GG). No associations were found in Asian populations. Conclusions The IL10 −1082A/G polymorphism is associated with an increased risk of breast cancer. The association between IL10 −1082 G/G genotype and increased risk of breast cancer is more significant in Caucasians, in population-based studies, and in larger studies.

scholarly journals Association of CDKAL1 RS10946398 Gene Polymorphism with Susceptibility to Diabetes Mellitus Type 2: A Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Ning Xu ◽  
Ting-Ting Zhang ◽  
Wen-Jia Han ◽  
Li-Ping Yin ◽  
Nan-Zheng Ma ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Gene Polymorphism ◽  
Publication Bias ◽  
Diabetes Mellitus Type 2 ◽  
Genetic Model ◽  
Meta Analysis ◽  
Asian Population ◽  
Effect Model

Background. Diabetes is one of the common chronic diseases in which susceptibility is determined by a combination of genetic and environmental factors, and more than 90% of diabetic patients are diabetes mellitus type 2 (T2DM). The existing studies on the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes are inconsistent across populations. Aim. We aim to explore the association between CDKAL1 rs10946398 gene polymorphism and susceptibility to type 2 diabetes in different populations. Methods. We examined all studies before June 12, 2021, that associated CDKAL1 rs10946398 with T2DM. Heterogeneity was assessed by meta-analysis of allelic inheritance models (A vs. C), dominant inheritance models (AA vs. AC+CC), and recessive inheritance model (AA+AC vs. CC); I 2 was used to assess the heterogeneity (if I 2 < 50 %, the fixed-effects model was used; if I 2 ≥ 50 %, the random-effects model was used for data consolidation); correlation was judged by a forest map; potential publication bias was tested by the Egger test ( p > 0.05 indicates that there is no publication bias). Results. Fourteen data totaling 30288 subjects, including 19272 controls and 11016 patients with T2DM, met our inclusion criteria. In the Asian population, the differences were statistically significant ( p < 0.01 ) for dominant genetic model ( OR = 0.75 , 95 % CI = 0.64 -0.88, p = 0.0003 ). But the allelic effect model ( OR = 0.87 , 95 % CI = 0.75 -1.02, p = 0.08 ) and the recessive genetic model ( OR = 0.85 , 95 % CI = 0.66 -1.10, p = 0.23 ) were not statistically significant ( p > 0.01 ). In the non-Asian population, the differences were statistically significant ( p < 0.01 ) for the allelic effect model ( OR = 0.83 , 95 % CI = 0.77 -0.88, p < 0.00001 ), the dominant model ( OR = 0.79 , 95 % CI = 0.72 -0.87, p < 0.00001 ), and the recessive model ( OR = 0.78 , 95 % CI = 0.70 -0.87, p < 0.0001 ). Conclusion. In this study, CDKAL1 RS10946398 was positively associated with T2DM, but the association was different in Asian populations.

scholarly journals Association of KCNQ1rs2237892C ⟶ T Gene with Type 2 Diabetes Mellitus: A Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wen-Jia Han ◽  
Jian-Yi Deng ◽  
Hua Jin ◽  
Li-Ping Yin ◽  
Jin-Xia Yang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gene Polymorphism ◽  
Genetic Model ◽  
Meta Analysis ◽  
High Morbidity ◽  
Genome Wide Association Studies ◽  
Asian Populations

Background. Type 2 diabetes mellitus (T2DM) is one of the most common chronic diseases in adults, causing high morbidity and mortality worldwide. In recent years, the prevalence of T2DM has been increasing significantly, and genome-wide association studies (GWAS) have shown that KCNQ1 significantly increases the risk of T2DM. Objective. To find large-scale evidence on whether the KCNQ1rs2237892C⟶T gene polymorphism is associated with T2DM susceptibility. Methods. A comprehensive review of the Chinese and English literature on the association of T2DM with KCNQ1rs2237892 is published by PubMed and Baidu Academic. The included literature was part or all of the studied loci which were evaluated for association with T2DM. Forest plots were made of the included literature to analyze the association of KCNQ1 with polymorphisms of the studied loci, and funnel plots and Egger’s test were used to evaluate the publication bias of the selected included literature. Results. Ten case-control studies including a total of 7027 cases and 8208 controls met our inclusion criteria. Allele (C allele frequency distribution) (OR: 1.19; 95% CI: 0.87,1.62; P < 0.00001 ), recessive (OR: 0.73; 95% CI: 0.45,1.18; P < 0.00001 ) genetic model under the full population was observed between KCNQ1rs2237892C⟶T gene polymorphism and T2DM without a significant relationship. In a stratified analysis by race, a meaningful association was found in non-Asian populations under the allelic genetic model, but no association was found in Asian populations. Conclusion. This meta-analysis showed no significant association between the rs2237892 polymorphism of the KCNQ1 gene and the risk of T2DM.

scholarly journals Cyp2C19*2 Polymorphism Related to Clopidogrel Resistance in Patients With Coronary Heart Disease, Especially in the Asian Population: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 11 ◽  
Author(s):  
Ying Sun ◽  
Qing Lu ◽  
Xuefei Tao ◽  
Biao Cheng ◽  
Guoxing Yang
Keyword(s):  
Gene Polymorphism ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Asian Population ◽  
Fixed Effect Model ◽  
Clopidogrel Resistance ◽  
Effect Model ◽  
The Relationship ◽  
Allele Model

In recent years, the relationship between Cyp2C19*2 gene polymorphism and clopidogrel resistance reflected by platelet function assay has been studied extensively, but there is no clear conclusion yet. In order to evaluate the relationship between Cyp2C19*2 gene polymorphism and clopidogrel resistance more accurately, meta-analysis was conducted in this study. The I2 value taking 50% as the limit, the heterogeneity is judged as high or low, and then a random effect model or a fixed effect model is selected for statistical analysis. PubMed, EMBASE, Web of Science, CNKI, and China Wanfang database were searched, and the related literatures from the establishment of the database to May 2020 were collected and analyzed by STATA 15.0 software. A total of 3,073 patients were involved in 12 studies, including 1,174 patients with clopidogrel resistance and 1,899 patients with non-clopidogrel resistance. The results of this study showed that allele model (A vs. G): OR = 2.42 (95%CI: 1.97–2.98); dominant model (AA+GA vs. GG): OR = 2.74 (95%CI: 2.09–3.59); recessive model (AA vs. GA+GG): OR = 4.07 (95%CI: 3.06–5.41); homozygous model (AA vs. GG): OR = 5.70 (95%CI: 4.22–7.71); heterozygote model (GA vs. GG): OR = 2.32 (95%CI: 1.76–3.07), the differences were statistically significant. Also, the analysis of the Ethnicity subgroup indicated that the Asian allele model and the other four gene models were statistically significant. In conclusion, Cyp2C19*2 gene polymorphism is strongly associated with clopidogrel resistance. Allele A, genotype GA, AA, and GG + GA can increase clopidogrel resistance, especially in the Asian population.

scholarly journals Association between prodynorphin gene polymorphisms and opioid dependence susceptibility: a meta-analysis

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Chang-wang Wang ◽  
Min Ma ◽  
Wei-guang Lu ◽  
Ru-qin Luo
Keyword(s):  
Gene Polymorphisms ◽  
Opioid Dependence ◽  
Meta Analysis ◽  
Asian Population ◽  
Case Control Studies ◽  
Exclusion Criteria ◽  
Future Studies ◽  
Larger Sample ◽  
Allelic Model ◽  
Summary Odds Ratio

Abstract Background Prodynorphin (PDYN) gene polymorphisms have been linked with opioid dependence (OD) with conflicting outcomes, the aim of this study is to synthesize the existing evidence of the association between PDYN polymorphisms and OD susceptibility. Methods Four databases including PubMed, EMBASE, Web of Science, and Wanfang were retrieved for relevant studies before August, 2018. All identified studies were evaluated using predetermined inclusion and exclusion criteria. Summary odds ratio (OR) and 95% confidence interval (95%CI) were calculated to appraise the association. Statistical analysis was performed using RevMan 5.3 software. Results A total of seven case-control studies with 3129 cases and 3289 controls were recruited in the meta-analysis. For rs910080, rs1997794, rs1022563, and rs2235749 polymorphisms of PDYN gene, there were six, four, five, and four studies eventually included, respectively. The findings indicated that rs910080 polymorphism was significantly correlated with OD among Asian population under allelic model (A vs. G, OR = 1.30, 95% CI 1.04–1.62, P = 0.02, FDR = 0.05) and dominant model (AA+AG vs. GG, OR = 1.25, 95% CI 1.04–1.51, P = 0.02, FDR = 0.05). However, rs1022563, rs1997794 and rs2235749 polymorphisms did not appear to associate with OD susceptibility. Conclusions There existed a significant association between rs1022563 polymorphism and OD among Asian population. As the included studies were not adequate to guarantee a robust and convincing conclusion, future studies with larger sample size among more ethnicities are recommended.

scholarly journals Association of miRNA biosynthesis genes DROSHA and DGCR8 polymorphisms with cancer susceptibility: a systematic review and meta-analysis

2018 ◽  
Vol 38 (3) ◽  
Author(s):  
Jing Wen ◽  
Zhi Lv ◽  
Hanxi Ding ◽  
Xinxin Fang ◽  
Mingjun Sun
Keyword(s):  
Cancer Risk ◽  
Genetic Model ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Population Based ◽  
Nucleotide Polymorphisms ◽  
Case Control Studies ◽  
Exclusion Criteria ◽  
Single Nucleotide ◽  
Stratified Analysis

Single nucleotide polymorphisms (SNPs) in miRNA biosynthesis genes DROSHA and DGCR8 were indicated to be correlated with cancer risk. We comprehensively reviewed and analyzed the effect of DROSHA and DGCR8 polymorphisms on cancer risk. Eligible articles were selected according to a series of inclusion and exclusion criteria. Consequently, ten case–control studies (from nine citations) with 4265 cancer cases and 4349 controls were involved in a meta-analysis of seven most prevalent SNPs (rs10719 T/C, rs6877842 G/C, rs2291109 A/T, rs642321 C/T, rs3757 G/A, rs417309 G/A, rs1640299 T/G). Our findings demonstrated that the rs417309 SNP in DGCR8 was significantly associated with an elevated risk of overall cancer in every genetic model. In stratified analysis, correlations of DROSHA rs10719 and rs6877842 SNPs were observed in Asian and laryngeal cancer subgroups, respectively. Moreover, associations of the rs417309 SNP could also be found in numerous subgroups including: Asian and Caucasian population subgroups; laryngeal and breast cancer subgroups; population-based (PB) and hospital-based (HB) subgroups. In conclusion, the DROSHA rs10719, rs6877842 SNPs, and DGCR8 rs417309 SNP play pivotal roles in cancerogenesis and may be potential biomarkers for cancer-forewarning.

scholarly journals Breast Subtypes and Prognosis of Breast Cancer Patients With Initial Bone Metastasis: A Population-Based Study

2020 ◽  
Vol 10 ◽  
Author(s):  
Deyue Liu ◽  
Jiayi Wu ◽  
Caijin Lin ◽  
Lisa Andriani ◽  
Shuning Ding ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Prognostic Factors ◽  
Metastatic Breast Cancer ◽  
Bone Metastasis ◽  
Cancer Patients ◽  
Metastatic Breast ◽  
Risk Groups ◽  
Population Based ◽  
Breast Cancer Patients

BackgroundMetastatic breast cancer (MBC) is a highly heterogeneous disease and bone is one of the most common metastatic sites. This retrospective study was conducted to investigate the clinical features, prognostic factors and benefits of surgery of breast cancer patients with initial bone metastases.MethodsFrom 2010 to 2015, 6,860 breast cancer patients diagnosed with initial bone metastasis were analyzed from Surveillance, Epidemiology, and End Results (SEER) database. Univariate and Multivariable analysis were used to identify prognostic factors. A nomogram was performed based on the factors selected from cox regression result. Survival curves were plotted according to different subtypes, metastatic burdens and risk groups differentiated by nomogram.ResultsHormone receptor (HR) positive/human epidermal growth factor receptor 2 (HER2) positive patients showed the best outcome compared to other subtypes. Patients of younger age (&lt;60 years old), white race, lower grade, lower T stage (&lt;=T2), not combining visceral metastasis tended to have better outcome. About 37% (2,249) patients received surgery of primary tumor. Patients of all subtypes could benefit from surgery. Patients of bone-only metastases (BOM), bone and liver metastases, bone and lung metastases also showed superior survival time if surgery was performed. However, patients of bone and brain metastasis could not benefit from surgery (p = 0.05). The C-index of nomogram was 0.66. Cutoff values of nomogram point were identified as 87 and 157 points, which divided all patients into low-, intermediate- and high-risk groups. Patients of all groups showed better overall survival when receiving surgery.ConclusionOur study has provided population-based prognostic analysis in patients with initial bone metastatic breast cancer and constructed a predicting nomogram with good accuracy. The finding of potential benefit of surgery to overall survival will cast some lights on the treatment tactics of this group of patients.

scholarly journals Association of TGF-β1 Polymorphisms with Breast Cancer Risk: A Meta-Analysis of Case–Control Studies

Cancers ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 471
Author(s):  
B. Krishna ◽  
Samir Jana ◽  
Aditya Panda ◽  
David Horne ◽  
Sanjay Awasthi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Meta Analysis ◽  
Middle Eastern ◽  
Asian Population ◽  
Case Control ◽  
Large Datasets ◽  
Case Control Studies ◽  
Middle Eastern Population ◽  
Stratified Analysis ◽  
Tgf Β1

Reports on the association of TGF-β1 polymorphisms with breast cancer (BC) have been conflicting, inconsistent, inconclusive, and controversial. PubMed, EMBASE, and Google Scholar were used to identify studies on TGF-β1 polymorphisms and BC risk. Data were extracted independently, and of the initial 3043 studies, 39 case-control studies were eligible for inclusion in the meta-analysis. Information from these studies was extracted, and the overall associations of three TGF-β1 polymorphisms (TGF-β1 29>T/C, TGF-β1-509 C/T, and TGF-β1*6A) with BC risk were analyzed using overall allele, homozygous, heterozygous, recessive, and dominant models. None of the three TGF-β1 polymorphisms studied had a significant influence on the development of BC. However, stratified analysis revealed a positive correlation between the TGF-β1 29T>C polymorphism and BC risk according to a heterozygous model of the Asian population (odds ratio (OR) = 1.115, 95% confidence interval (CI) = 1.006–1.237, p = 0.039). Interestingly, this polymorphism was associated with lower odds of BC according to a heterozygous model of the Middle Eastern population (OR = 0.602, 95% CI = 0.375–0.966, p = 0.035). Thus, our analysis of large datasets indicates that the TGF-β1 29T>C polymorphism is significantly associated with BC risk in the Asian population. In contrast, the TGF-β1*6A and TGF-β1-509 C/T polymorphisms failed to show an association with BC.

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