scholarly journals The association between rs16917496 T/C polymorphism of SET8 gene and cancer risk in Asian populations: a meta-analysis

2018 ◽  
Vol 38 (6) ◽  
Author(s):  
Hui-Xia Wei ◽  
Guo-Xiang Tian ◽  
Ju-Kun Song ◽  
Lian-Jie Yang ◽  
Yu-Pei Wang
Keyword(s):  
Cancer Risk ◽  
Statistical Power ◽  
Genetic Model ◽  
Meta Analysis ◽  
Critical Role ◽  
Epidemiological Studies ◽  
Asian Populations ◽  
Online Databases ◽  
Cancer Types ◽  
Diversity Control

Epidemiological studies have demonstrated close associations between SET8 rs16917496 T/C polymorphism and cancer risk, but the results of published studies were not consistent. We therefore performed this meta-analysis to explore the associations between rs16917496 T/C polymorphism and cancer risk. Five online databases were searched. Odds ratios (ORs) with a 95% confidence interval (CI) were calculated to assess the association between rs16917496 T/C polymorphism and cancer risk. In addition, heterogeneity, accumulative, sensitivity analysis, and publication bias were conducted to check the statistical power. Overall, 13 publications involving 5878 subjects were identified according to included criteria. No significant cancer risk was observed in genetic model of SET8 rs16917496 T/C polymorphism in Asian populations (C vs. T: OR = 1.04, 95%CI = 0.88–1.23, P = 0.63%; TC vs. TT: OR = 1.17, 95%CI = 0.96–1.24, P = 0.11%; CC vs. TT: OR = 0.90, 95%CI = 0.60–1.37, P = 0.63; TC+CC vs. TT: OR = 1.11, 95%CI = 0.90–1.38, P = 0.33; CC vs. TT+TC: OR = 0.92, 95%CI = 0.65–1.30, P = 0.63). Furthermore, similar associations were found in the subgroup analysis of race diversity, control design, genotyping methods, and different cancer types. In summary, our meta-analysis indicated that the SET8 rs16917496 T/C polymorphism may not play a critical role in cancer development in Asian populations.

scholarly journals Antibiotic exposure is associated with an increased risk of cancer: a systematic review and meta-analysis

2019 ◽  
Author(s):  
Yuting Li ◽  
Kaiyin He ◽  
Xiaojuan Peng ◽  
Chenxing Zhang ◽  
Lu Zhong ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Meta Analysis ◽  
Antibiotic Use ◽  
Epidemiological Studies ◽  
Antibiotic Exposure ◽  
Time Restrictions ◽  
Common Cancer ◽  
Increased Risk ◽  
Cancer Types ◽  
Risk Of Cancer

Abstract Background Several epidemiological studies have assessed the association between the use of antibiotics and cancer risk, but the results were inconsistent. Objective The objective of this study was to perform a meta-analysis to further evaluate possible association between antibiotic exposure and the risk of cancer. Methods We searched PubMed,Embase,Web of Science,and Chinese databases for studies on the association between antibiotic use and cancer without time restrictions. The risk estimates (hazard ratio (HR) or relative risk (RR) or Odds ratio (OR)) with their corresponding 95% confidence interval (CI) were calculated. Results A total of 23 observational studies with 19 case-control and 4 cohort studies were included in the meta-analysis. Exposure to antibiotics significantly increased the risk of cancer with an OR of 1.20 (95%CI 1.13-1.27, P=0.000). Subgroup meta-analysis by gender showed that the effect of antibiotic use on cancer risk was greater in male (34%) compared with that in female (19%). On the other hand, the risk of cancer increased with an increasing number of antibiotic prescriptions and the increasing cumulative days of antibiotic exposure. Moreover, of the 7 antibiotic types included, the six classes of antibiotics (penicillin, macrolides, quinolones, sulfonamides, tetracycline, cephalosporins) were associated with the increased risk of cancer. Further, of the 16 separate cancers included, exposure to antibiotics increased the risk of eight common cancer types (liver cancer, colorectal cancer, stomach and small intestine cancer, lymphomas, breast cancer, lung cancer, prostate cancer, and renal and bladder). Conclusions Exposure to common antibiotic types may increase the risk of the eight common cancer types in the studies population, especially in male, and the cancer risk increases with increasing antibiotic exposure intensity.

scholarly journals Interleukin-17 Gene Polymorphisms Contribute to Cancer Risk

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yu-Ming Niu ◽  
Hua Yuan ◽  
Yu Zhou
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Chinese Population ◽  
Statistical Power ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Sensitivity Analyses ◽  
Interleukin 17 ◽  
Case Control Studies ◽  
Stratified Analysis

Epidemiological studies have suggested that interleukin-17 (IL-17) polymorphisms are associated with cancer risk. However, the results of these studies are inconsistent. Therefore, we performed a meta-analysis to obtain a precise conclusion. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the association of theIL-17Ars2275913G>A andIL-17Frs763780T>C polymorphisms with cancer risk. Publication bias and sensitivity analyses were performed to ensure the statistical power. Overall, 10 relevant case-control studies involving 4,516 cases and 5,645 controls were included. The pooled ORs with 95% CIs indicated that theIL-17Ars2275913G>A polymorphism was significantly associated with increased cancer risk (for A versus G: OR = 1.28, 95% CI: 1.16–1.41,P<0.001,I2=61.1%; for GA versus GG: OR = 1.12, 95% CI: 1.02–1.23,P = 0.015,I2=27.8%; for AA versus GG: OR = 1.71, 95% CI: 1.38–2.41,P<0.001,I2=69.6%; for GA + AA versus GG: OR = 1.23, 95% CI: 1.13–1.34,P<0.001,I2=6.4%; for AA versus GG + GA: OR = 1.62, 95% CI: 1.27–2.07,P<0.001,I2=81.4%). Succeeding analysis of HWE and stratified analysis of gastric cancer and the Asian (and Chinese) population revealed similar results. TheIL-17Frs763780T>C polymorphism was also significantly associated with gastric cancer development. Overall, the present meta-analysis suggests thatIL-17polymorphisms increase the risk of developing cancer, particularly gastric cancer, in the Asian (and Chinese) population.

scholarly journals PARP1 rs1136410 Val762Ala contributes to an increased risk of overall cancer in the East Asian population: a meta-analysis

2021 ◽  
Vol 49 (3) ◽  
pp. 030006052199295
Author(s):  
Yijuan Xin ◽  
Liu Yang ◽  
Mingquan Su ◽  
Xiaoli Cheng ◽  
Lin Zhu ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Odds Ratio ◽  
Chinese Population ◽  
Meta Analysis ◽  
Asian Population ◽  
Cancer Type ◽  
East Asians ◽  
Asian Populations ◽  
Increased Risk ◽  
Meta Analyses

Objectives To investigate the association between poly(ADP-ribose) polymerase 1 ( PARP1) rs1136410 Val762Ala and cancer risk in Asian populations, as published findings remain controversial. Methods The PubMed and EMBASE databases were searched, and references of identified studies and reviews were screened, to find relevant studies. Meta-analyses were performed to evaluate the association between PARP1 rs1136410 Val762Ala and cancer risk, reported as odds ratio (OR) and 95% confidence interval (CI). Results A total of 24 studies with 8 926 cases and 15 295 controls were included. Overall, a significant association was found between PARP1 rs1136410 Val762Ala and cancer risk in East Asians (homozygous: OR 1.19, 95% CI 1.06, 1.35; heterozygous: OR 1.10, 95% CI 1.04, 1.17; recessive: OR 1.13, 95% CI 1.02, 1.25; dominant: OR 1.13, 95% CI 1.06, 1.19; and allele comparison: OR 1.09, 95% CI 1.03, 1.15). Stratification analyses by race and cancer type revealed similar results for gastric cancer among the Chinese population. Conclusion The findings suggest that PARP1 rs1136410 Val762Ala may be significantly associated with an increased cancer risk in Asians, particularly the Chinese population.

scholarly journals Circulating Insulin-Like Growth Factor-1 Level and Ovarian Cancer Risk

2016 ◽  
Vol 38 (2) ◽  
pp. 589-597 ◽  
Author(s):  
Yiyang Li ◽  
Yang Li ◽  
Jialing Zhang ◽  
Changjun Zheng ◽  
He Zhu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Growth Factor ◽  
Cancer Risk ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Ovarian Cancer Risk ◽  
Insulin Like Growth Factor ◽  
Summary Odds Ratio

Background/Aims: Insulin-like growth factor-1 (IGF-1) has an important role in cells' proliferation, differentiation and apoptosis, and it may be involved in carcinogenesis. Several epidemiological studies assessed the association between circulating IGF-1 level and ovarian cancer risk, but there was still no conclusive finding. Methods: A meta-analysis of published studies was performed to assess the association between circulating IGF-1 level and ovarian cancer risk. The summary odds ratio (OR) with 95% confidence interval (95%CI) was calculated through meta-analysis to evaluate the strength of the association. Results: Five eligible studies were included into the meta-analysis, which involved a total of 2,028 cases of ovarian cancer and 4,625 controls. Meta-analysis of total 5 studies showed that high circulating IGF-1 level was correlated with decreased risk of ovarian cancer (OR = 0.84, 95%CI 0.74-0.97, P = 0.013). After adjusting for heterogeneity, high circulating IGF-1 level was still correlated with decreased risk of ovarian cancer (OR = 0.83, 95%CI 0.72-0.95, P = 0.007). Subgroup analysis by age showed that circulating IGF-1 level was not correlated with ovarian cancer risk in women both less than 55 years and more than 55 years. However, after adjusting for heterogeneity, high circulating IGF-1 level was correlated with decreased ovarian cancer risk in women less than 55 years (OR = 0.82, 95%CI 0.72-0.94, P = 0.004). Conclusion: Our meta-analysis suggests that high circulating IGF-1 level may be correlated with decreased ovarian cancer risk, especially in women less than 55 years. More studies are needed to further assess the association between circulating IGF-1 level and ovarian cancer risk in the future.

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.

GSTM1 polymorphism and lung cancer risk among East Asian populations: a meta-analysis

Tumor Biology ◽  
2014 ◽  
Vol 35 (7) ◽  
pp. 6493-6500 ◽  
Author(s):  
Yan Zhao ◽  
Junjie Zeng ◽  
Yanxi Zhang ◽  
Su Lu ◽  
Erjiang Zhao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Lung Cancer Risk ◽  
Meta Analysis ◽  
East Asian ◽  
Asian Populations ◽  
Gstm1 Polymorphism

scholarly journals Prognostic Indications of Elevated MCT4 and CD147 across Cancer Types: A Meta-Analysis

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Cory D. Bovenzi ◽  
James Hamilton ◽  
Patrick Tassone ◽  
Jennifer Johnson ◽  
David M. Cognetti ◽  
...  
Keyword(s):  
Overall Survival ◽  
Tumor Microenvironment ◽  
Cancer Cells ◽  
Meta Analysis ◽  
Critical Role ◽  
Disease Free Survival ◽  
Free Survival ◽  
Cd147 Expression ◽  
Cancer Types ◽  
Disease Free

Background. Metabolism in the tumor microenvironment can play a critical role in tumorigenesis and tumor aggression. Metabolic coupling may occur between tumor compartments; this phenomenon can be prognostically significant and may be conserved across tumor types. Monocarboxylate transporters (MCTs) play an integral role in cellular metabolism via lactate transport and have been implicated in metabolic synergy in tumors. The transporters MCT1 and MCT4 are regulated via expression of their chaperone, CD147.Methods. We conducted a meta-analysis of existing publications on the relationship between MCT1, MCT4, and CD147 expression and overall survival and disease-free survival in cancer, using hazard ratios derived via multivariate Cox regression analyses.Results. Increased MCT4 expressions in the tumor microenvironment, cancer cells, or stromal cells were all associated with decreased overall survival and decreased disease-free survival (p<0.001for all analyses). Increased CD147 expression in cancer cells was associated with decreased overall survival and disease-free survival (p<0.0001for both analyses). Few studies were available on MCT1 expression; MCT1 expression was not clearly associated with overall or disease-free survival.Conclusion. MCT4 and CD147 expression correlate with worse prognosis across many cancer types. These results warrant further investigation of these associations.

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.

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