Dataset Information

Systematic review and meta-analysis on the association between IL-1B polymorphisms and cancer risk.

ABSTRACT:

Background

Interleukin-1 beta (IL-1?), a pro-inflammatory cytokine, is emerging as a key mediator of carcinogenesis that characterizes host-environment interactions. Epidemiological studies investigating the association between two polymorphisms of IL-1B (-511C/T and +3954C/T) and cancer susceptibility have shown conflicting results. The aim of this study is to derive a more precise estimation of the relationship.

Methods

Related studies were identified through a systematic literature search of PubMed and Web of Science from their inception to September 15, 2012. Summary odds ratios (ORs) and 95% confidence intervals (CIs) for the IL-1B -511C/T and +3954C/T polymorphisms and cancer risk were calculated. Heterogeneity among studies and publication bias were also tested.

Results

The meta-analysis included 91 case-control studies in 85 publications, 81 studies for the -511C/T (19547 cases and 23935 controls) and 26 studies for the +3954C/T polymorphisms (8083 cases and 9183). The pooled results indicated that IL-1B +3954C/T (dominant model: OR?=?1.15, 95% CI: 1.01-1.30) was significantly associated with increased overall cancer risk, especially among hospital-based case-control studies (dominant model: OR?=?1.30, 95% CI: 1.02-1.66). As for -511C/T, we observed an inverse relationship in cervical cancer (dominant model: OR?=?1.74, 95% CI: 1.35-2.23) and hepatocellular carcinoma (dominant model: OR?=?0.68, 95% CI: 0.47-0.99). Moreover, -511C/T was associated with risk of specific subtypes of gastric carcinoma.

Conclusion

This meta-analysis suggested that both the IL-1B -511C/T and +3954C/T polymorphisms might modulate cancer susceptibility. Further well-designed studies based on larger sample sizes should be performed to confirm the findings.

SUBMITTER: Xu J

PROVIDER: S-EPMC3660576 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Publications

Systematic review and meta-analysis on the association between IL-1B polymorphisms and cancer risk.

Xu Jiali J Yin Zhiqiang Z Cao Songyu S Gao Wen W Liu Lingxiang L Yin Yongmei Y Liu Ping P Shu Yongqian Y

PloS one 20130521 5

<h4>Background</h4>Interleukin-1 beta (IL-1β), a pro-inflammatory cytokine, is emerging as a key mediator of carcinogenesis that characterizes host-environment interactions. Epidemiological studies investigating the association between two polymorphisms of IL-1B (-511C/T and +3954C/T) and cancer susceptibility have shown conflicting results. The aim of this study is to derive a more precise estimation of the relationship.<h4>Methods</h4>Related studies were identified through a systematic litera ...[more]

PMID: 23704929

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Project description:Interleukin-1 (IL-1) plays an essential role in the immune pro-inflammatory process, which is regarded as one of many factors in the development of type 2 diabetes mellitus (T2DM). Several case-control studies have illustrated the association of the IL-1B (-511) (rs16944, Chr 2:112,837,290, C/T Intragenic, Transition Substitution) and IL-1RN (VNTR) (gene for IL-1 receptor antagonist, IL-1RA, 86 bp tandem repeats in intron 2) polymorphisms with T2DM risk. However, the results were inconsistent and inconclusive. We performed a meta-analysis (registry number: CRD42021268494) to assess the association of the IL-1B (-511) and IL-1RN (VNTR) polymorphisms with T2DM risk. Random-effects models were applied to calculate the pooled ORs (odds ratios) and 95% CIs (confidence intervals) to test the strength of the association in the overall group and subgroups stratified by ethnicity, respectively. Between-study heterogeneity and publication bias were evaluated by the Q-test, I2 statistic, Harbord test, and Peters test accordingly. Sensitivity analyses were also performed. A total of 12 publications evaluating the association of IL-1B (-511) and IL-1RN (VNTR) polymorphisms with the risk of T2DM development were included. The meta-analysis showed that IL-1RN (VNTR) was related to the increasing development of T2DM risk in the recessive model (OR = 1.62, 95% CI [1.09-2.42], Phet = 0.377, Pz = 0.018) and in the homozygous model (OR = 2.02, 95% CI [1.07-3.83], Phet = 0.085, Pz = 0.031), and the IL-1RN 2* allele was found a significant association with evaluated T2DM risk in all ethnicities (OR = 2.08, 95% CI [1.43-3.02], Phet < 0.001, Pz < 0.001) and in EA (OR = 2.01, 95% CI [1.53-2.66], Phet = 0.541, Pz < 0.001). Moreover, stratification by ethnicity revealed that IL-1B (-511) was associated with a decreased risk of T2DM in the dominant model (OR=0.76, 95% CI [0.59-0.97], Phet = 0.218, P z = 0.027) and codominant model (OR = 0.73, 95% CI [0.54-0.99], Phet = 0.141, Pz = 0.040) in the East Asian (EA) subgroup. Our results suggest that the IL-1RN 2* allele and 2*2* homozygous polymorphism are strongly associated with increasing T2DM risk and that the IL-1B (-511) T allele polymorphism is associated with decreasing T2DM risk in the EA subgroup.

Project description:BackgroundPublished data on the relationship between matrix metalloproteinases (MMPs) polymorphisms and ovarian cancer risk have implicated inconclusive results. To evaluate the role of MMPs polymorphisms in ovarian cancer risk, a meta-analysis and systematic review were performed.MethodsMMPs polymorphisms which could be quantitatively synthesized were involved in meta-analysis. Five comparison models (homozygote model, heterozygote model, dominant model, recessive model, additive model) were carried out, a subgroup analysis was performed to clarify heterogeneity source. The remaining polymorphisms which could not be quantitatively synthesized were involved in systematic review.Results10 articles with 20 studies were included in this paper. Among those studies, 8 studies involving MMP1 rs1799750 and MMP3 rs34093618 could be meta-analyzed and 12 studies involving 12 polymorphisms could not. Meta-analysis showed that no associations were found between MMP1 rs1799750 (homozygote model: OR = 0.93, 95%CI = 0.70-1.23, POR = 0.60; heterozygote model: OR = 1.09, 95%CI = 0.78-1.54, POR = 0.61; dominant model: OR = 1.02, 95%CI = 0.83-1.25, POR = 0.84; recessive model: OR = 0.95, 95%CI = 0.75-1.21, POR = 0.67; additive model: OR = 1.00, 95%CI = 0.85-1.17, POR = 0.99), MMP3 rs34093618 (homozygote model: OR = 1.25, 95%CI = 0.70-2.24, POR = 0.46; heterozygote model: OR = 1.08, 95%CI = 0.51-2.31, POR = 0.84; dominant model: OR = 0.97, 95%CI = 0.68-1.38, POR = 0.85; recessive model: OR = 1.12, 95%CI = 0.69-1.80, POR = 0.65; additive model: OR = 1.01, 95%CI = 0.79-1.31, POR = 0.91) and ovarian cancer. Furthermore, similar results were detected in subgroup analysis. The systematic review on 12 polymorphisms suggested that MMP2 C-735T, MMP7 A-181G, MMP8 rs11225395, MMP9 rs6094237, MMP12 rs2276109, MMP20 rs2292730, MMP20 rs12278250, MMP20 rs9787933 might have a potential effect on ovarian cancer risk.ConclusionsIn summary, polymorphisms of MMPs might not be associated with ovarian cancer risk. However, it is necessary to conduct more larger-scale, multicenter, and high-quality studies in the future.

Project description:Previous studies have yielded controversial results related to the contribution of interleukin 10 (IL-10) gene polymorphisms (IL-10 -592C/A, IL-10 -1082G/A, and IL-10 -819C/T) in the progression of cardiovascular disease (CVD). Thus, we performed a meta-analysis to summarize this situation.Eligible studies were retrieved by searching PubMed, Embase, Web of Science, and Cochrane Library with the last search up to July 7, 2015. Data were pooled by odds ratios (ORs) and their 95% confidence intervals (CIs). False-positive report probability (FPRP) analysis was conducted for all significant findings. Genotype-based mRNA expression analysis was also performed using data from 270 individuals with different ethnicities.Finally, 19 studies for IL-10 -592C/A polymorphism (7284 cases and 7469 controls), 21 studies for IL-10 -1082G/A polymorphism (8263 cases and 5765 controls), and 12 studies for IL-10 -819C/T polymorphism (4502 cases and 3190 controls) were included in the meta-analyses. With respect to IL-10 -819C/T polymorphism, statistically significant decreased CVD risk was found when all studies were pooled into the meta-analysis (T vs C: OR = 0.91, 95% CI = 0.84-0.98; TT + TC vs CC: OR = 0.90, 95% CI = 0.81-1.00). Subgroup analyses stratified by disease subtype suggested the -819C/T polymorphism was significantly associated with a decreased CAD risk (T vs C: OR = 0.90, 95% CI = 0.83-0.97; TT vs CC: OR = 0.81, 95% CI = 0.66-1.00; TT vs TC + CC: OR = 0.82, 95% CI = 0.69-0.98; TT + TC vs CC: OR = 0.89, 95% CI = 0.80-0.99), which was noteworthy finding as evaluated by FPRP. However, with regard to IL-10 -592C/A and IL-10 -1082G/A polymorphisms, no significant association with CVD risk was observed in the overall and subgroup analyses.In conventional meta-analyses, the results suggested that IL-10 -819C/T polymorphism was associated with decreased risk of CVD, especially CAD outcome, whereas IL-10 -592C/A and IL-10 -1082G/A polymorphisms might have no influence on the susceptibility of CVD. However, trial sequential analysis does not allow us to draw any solid conclusion for the association between IL-10 -592C/A or IL-10 -1082G/A polymorphism and CVD risk. Further large and well-designed studies are still needed.

Project description:BackgroundAs one of the most common body malignant cancers, skin cancers contain a group of highly heterogeneous tumors with different malignant potential, prognosis and treatment methods. Despite the progress in the treatment of skin cancers worldwide, the overall prognosis is still poor. Recent studies indicated single nucleotide polymorphisms (SNPs) of interleukin-6 (IL-6), including 174G/C and 597G/A, might be associated with susceptibility to skin cancer. This meta-analysis aims to clarify the relationship between IL-6 gene polymorphisms and skin cancers.MethodsEligible studies were identified from searching PubMed, Embase, Web of Science and Cochrane. Pooled odds ratio (OR) and corresponding 95% confidence interval (CI) were obtained for the relationships between IL-6 174G/C and 597G/A polymorphisms and skin cancer using random-effects models. For the included studies, the Newcastle-Ottawa scale (NOS) score was calculated to assess study quality. Heterogeneity tests, sensitivity analysis, and publication bias assessments were also performed. Trim-and-fill method was used when publication bias existed aiming to adjusting OR. All data were analyzed in R (version 4.0.2).ResultsThis meta-analysis included 1,705 cases and 1,987 controls for 174G/C polymorphism (10 publications), and 968 cases and 998 controls for 597G/A polymorphism (3 publications). No elevated risk of skin cancer was found in all comparisons for 174G/C polymorphism: CC vs. GC + GG, OR =1.03 (95% CI: 0.81-1.31); GC + CC vs. GG, OR =1.16 (95% CI: 0.96-1.39); CC vs. GG, OR =1.14 (95% CI: 0.86-1.53); GC vs. GG, OR =1.16 (95% CI: 0.99-1.37); C vs. G, OR =1.07 (95% CI: 0.92-1.24). Then we performed subgroup analysis based on publication year, the cancer type, sample size, NOS score. Significant differences were observed in the subgroup of publication year before 2010 (GC + CC vs. GG, OR =1.255, P=0.012; GC vs. GG, OR =1.277, P=0.01), while there is no statistical significance in the subgroup of publication year after 2010 (P>0.05 for all comparisons). After publication bias adjustment, the results further suggested that 174G/C polymorphism is not associated with the risk of skin cancer. No elevated risk of skin cancer was found in the comparisons for 597G/A polymorphism.DiscussionCurrent evidence showed that IL-6 gene polymorphisms might not be associated with the susceptibility to skin cancer.

Project description:BACKGROUND:Asthma is a common complex chronic, inflammatory polygenic disease with heterogeneous manifestations, affecting individuals of all age groups and posing an immense burden on healthcare resources. A number of studies have identified the association between a disintegrin and metalloprotease 33 (ADAM33) polymorphisms and asthma risk, however, the results still remain inconclusive. The objective of the present study was to identify the effect of ADAM33 variants in asthma susceptibility. METHODS:Eligible case-control studies published between January 2000 and June 2018 was searched and retrieved from online electronic databases. The odds ratio (OR) with its 95% confidence interval (CI) was employed to calculate the effect. RESULTS:A total of 63 case-control studies were finally screened out, including 13,280 asthma patients and 13,340 controls. Eleven SNPs of ADAM33 gene were identified. Our results detected a significant association between ADAM33 T2, Q1, F?+?1 and AA genotype of T?+?1 polymorphisms and asthma risk in total population. Subgroup analysis by ethnicities showed that the alleles and genotypes of T2, Q1 and F?+?1 polymorphisms were associated with asthma susceptibility among Asian populations, while V4 polymorphism was associated with asthma among Caucasian populations. Subgroup analysis by ages showed that T2, F?+?1 and ST?+?4 polymorphisms were associated with childhood asthma, while Q1 and V4 polymorphisms were associated with asthma risk in adults. Subgroup analysis by asthma severity showed that only the G allele of ADAM33 T1 polymorphism was associated with the severity of asthma when compared with the controls. In addition, T2, Q1 and F?+?1 polymorphisms of ADAM33 were significantly associated with increased the asthma risk in Chinese asthma patients. CONCLUSIONS:Our results found that T2, Q1 and F?+?1 polymorphisms of ADAM33 gene might contribute to asthma risk. Future well-designed case-control studies with large population and more ethnicities are still needed to estimate the association.

Dataset Information

Systematic review and meta-analysis on the association between IL-1B polymorphisms and cancer risk.

Background

Methods

Results

Conclusion

Publications

Systematic review and meta-analysis on the association between IL-1B polymorphisms and cancer risk.

Similar Datasets

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