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

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.

scholarly journals The Association between PON1 (Q192R and L55M) Gene Polymorphisms and Risk of Cancer: A Meta-Analysis Based on 43 Studies

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Xiaolan Pan ◽  
Lei Huang ◽  
Meiqin Li ◽  
Dan Mo ◽  
Yihua Liang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Risk ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Population Based ◽  
Case Control ◽  
Cancer Type ◽  
Case Control Studies ◽  
Increased Risk ◽  
Risk Of Cancer

Q192R and L55M polymorphism were considered to be associated with the development of multiple cancers. Nevertheless, the results of these researches were inconclusive and controversial. Therefore, we conducted a meta-analysis of all eligible case-control studies to assess the association between PON1 (Q192R and L55M) gene polymorphisms and risk of cancer. With the STATA 14.0 software, we evaluated the strength of the association by using the odds ratios (ORs) and 95% confidence intervals (CIs). A total of 43 case-control publications 19887 cases and 23842 controls were employed in our study. In all genetic models, a significant association between PON1-L55M polymorphisms and overall cancer risk was observed. Moreover, in the stratified analyses by cancer type, polymorphism of PON1-L55M played a risk factor in the occurrence of breast cancer, hematologic cancer, and prostate cancer. Similarly, an increased risk was observed in the Caucasian and Asian population as well as hospital-based group and population-based group. For PON1-Q192R polymorphisms, in the stratified analyses by cancer type, PON1-Q192R allele was associated with reduced cancer risks in breast cancer. Furthermore, for racial stratification, there was a reduced risk of cancer in recession model in Caucasian population. Similarly, in the stratification analysis of control source, the overall risk of cancer was reduced in the heterozygote comparison and dominant model in the population-based group. In conclusion, PON1-Q192R allele decreased the cancer risk especially breast cancer; there was an association between PON1-L55M allele and increased overall cancer risk. However, we need a larger sample size, well-designed in future and at protein levels to confirm these findings.

XRCC1 gene polymorphisms and lung cancer susceptibility: a meta-analysis of 44 case–control studies

2012 ◽  
Vol 39 (10) ◽  
pp. 9535-9547 ◽  
Author(s):  
Liping Dai ◽  
Fujiao Duan ◽  
Peng Wang ◽  
Chunhua Song ◽  
Kaijuan Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Gene Polymorphisms ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Xrcc1 Gene ◽  
Lung Cancer Susceptibility

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

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.

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 An updated meta-analysis of XRCC4 rs1805377 polymorphism and the risk of cancer based on 23 case-control studies

2019 ◽  
Author(s):  
Xin-yuan Zhang ◽  
Xiao-han Wei ◽  
Bao-jie Wang ◽  
Jun Yao
Keyword(s):  
Subgroup Analysis ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Pooled Analysis ◽  
Dna Double Strand Breaks ◽  
Case Control Studies ◽  
Cancer Susceptibility Genes ◽  
Cancer Occurrence ◽  
Risk Of Cancer

Abstract Background The growing studies reports that the genes participating in repairing of DNA double-strand breaks may be cancer-susceptibility genes. Rs1805377 (A>G) is a functional single nucleotide polymorphism (SNP) in the x-ray cross-complementing group 4 (XRCC4) gene that may be involved in the etiology of cancer. However, no conclusive results can be determined from individually published studies. Thus, we performed a meta-analysis to examine the association between XRCC4 rs1805377 polymorphism and cancer risk.Methods The potential literatures were searched using three online electronic databases (PubMed, Embase, and Web of Science). The available studies were included according to the inclusion criteria. The pooled analysis were performed to explore the association between XRCC4 rs1805377 locus and the risk of cancer. Additionally, we also performed subgroup analysis and sensitivity analysis.Results Twenty-three studies were included in our meta-analysis. It contained 9,433 cancer patients and 10,337 healthy controls. The pooled results showed that there was no association between rs1805377 and the risk of cancer. Under the dominant model, the final pooled odds ratios (ORs) was 1.115 (95% confidence intervals: 0.956-1.301; P = 0.165) in a random effects model without the statistical significance. The subgroup analysis by ethnicity and source of controls also didn’t find that rs1805377 polymorphism was related to cancer occurrence. In the subgroup by type of cancers, the significant association was only found in gastric antrum adenocarcinoma.Conclusions our meta-analysis suggested that there was no association between rs1805377 polymorphism and cancer occurrence. It may provide useful information for the relevant studies on the etiology of cancer in future.

scholarly journals Association between apurinic/apyrimidinic endonuclease 1 rs1760944 T>G polymorphism and susceptibility of cancer: a meta-analysis involving 21764 subjects

2019 ◽  
Vol 39 (12) ◽  
Author(s):  
Guowen Ding ◽  
Yu Chen ◽  
Huiwen Pan ◽  
Hao Qiu ◽  
Weifeng Tang ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Publication Bias ◽  
Protective Factor ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Pooled Analysis ◽  
Case Control ◽  
Current Evidence ◽  
Case Control Studies ◽  
Risk Of Cancer

Abstract Background: Previous case–control studies have suggested that apurinic/apyrimidinic endonuclease 1 (APE1) rs1760944 T>G polymorphism may be associated with cancer risk. Here, we carried out an updated meta-analysis to focus on the correlation between APE1 rs1760944 T>G locus and the risk of cancer. Methods: We used the crude odds ratios (ORs) with their 95% confidence intervals (CIs) to evaluate the possible relationship between the APE1 rs1760944 T>G polymorphism and cancer risk. Heterogeneity, publication bias and sensitivity analysis were also harnessed to check the potential bias of the present study. Results: Twenty-three independent studies involving 10166 cancer cases and 11598 controls were eligible for this pooled analysis. We found that APE1 rs1760944 T>G polymorphism decreased the risk of cancer in four genetic models (G vs. T: OR, 0.87; 95% CI, 0.83–0.92; P<0.001; GG vs. TT: OR, 0.77; 95% CI, 0.69–0.86; P<0.001; GG/TG vs. TT: OR, 0.83; 95% CI, 0.77–0.89, P<0.001 and GG vs. TT/TG: OR, 0.85; 95% CI, 0.80–0.92, P<0.001). Results of subgroup analyses also demonstrated that this single-nucleotide polymorphism (SNP) modified the risk among lung cancer, breast cancer, osteosarcoma, and Asians. Evidence of publication bias was found in the present study. When we treated the publication bias with ‘trim-and-fill’ method, the adjusted ORs and CIs were not significantly changed. Conclusion: In conclusion, current evidence highlights that the APE1 rs1760944 T>G polymorphism is a protective factor for cancer susceptibility. In the future, case–control studies with detailed risk factors are needed to confirm or refute our findings.

scholarly journals Association between interleukin-10 -592 A/C polymorphism and gastrointestinal tract cancer risk: A meta-analysis

2018 ◽  
Vol 33 (3) ◽  
pp. 244-253 ◽  
Author(s):  
Mohammad Hossein Sahami-Fard
Keyword(s):  
Gastrointestinal Tract ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Interleukin 10 ◽  
Cancer Type ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Tract Cancer ◽  
Gastrointestinal Tract Cancer

Background: Recent evidence suggests that -592 A/C polymorphism in the interleukin-10 (IL-10) gene may influence risk of gastrointestinal tract cancer; however, individual studies have provided conflicting and inconclusive results. Therefore, this meta-analysis was conducted to assess the association between IL-10 -592 A/C polymorphism and gastrointestinal tract cancer susceptibility. Methods: EMBASE, PubMed, Web of Science, and China National Knowledge Infrastructure databases were searched for case-control studies published before 1 May 2017. A total of 36 studies involving 8069 cases and 13,089 controls were included in the present meta-analysis according to the inclusion criteria. The random- or fixed-effect model was utilized to calculate pooled odds ratio (OR) with 95% confidence interval (CI), and to survey the association. Results: By and large IL-10 -592 A/C (rs1800872) polymorphism was not associated with gastrointestinal cancer risk in five genetic models (A vs. C: OR 1.00; 95% CI 0.93, 1.08; POR = 0.960; AA vs. CC: OR 0.98; 95% CI 0.85, 1.14; POR = 0.835; CA vs. CC: OR 1.01; 95% CI 0.94, 1.08; POR = 0.776; AA+CA vs. CC: OR 1.03; 95% CI 0.94, 1.12; POR = 0.592; AA vs. CA+CC: OR 0.98; 95% CI 0.87, 1.10; POR = 0.666). Similar results were also achieved after stratification by the Hardy–Weinberg equilibrium, ethnicity, source of controls, and cancer type. Conclusion: The results of this meta-analysis indicated that there is no association between the IL-10 -592 A/C promoter polymorphism and gastrointestinal tract cancer susceptibility.

Five MDM4 gene polymorphisms on cancer risk: An updated systematic review and meta-analysis

2021 ◽  
Vol 36 (2) ◽  
pp. 172460082110338
Author(s):  
Yaxuan Wang ◽  
Zhan Yang ◽  
Xueliang Chang ◽  
Jingdong Li ◽  
Zhenwei Han
Keyword(s):  
Breast Cancer ◽  
Cancer Risk ◽  
Gene Polymorphisms ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Asian Population ◽  
Breast Cancer Susceptibility ◽  
Candidate Gene Studies ◽  
Stratified Analysis ◽  
Risk Of Cancer

Purpose The study aims to provide a comprehensive account of the association of five MDM4 gene polymorphisms (rs1380576, rs1563828, rs10900598, rs11801299, and rs4245739) with susceptibility to cancer. Methods A literature search for eligible candidate gene studies published before 27 February 2021 was conducted in PubMed, Medline and Web of Science. The following combinations of main keywords were used: (MDM4 OR MDMX OR HDMX OR mouse double minute 4 homolog) 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 meta-regression, subgroup and sensitivity analysis. Results Overall, a total of 15 articles with 21,365 cases and 29,280 controls for five polymorphisms of the MDM4 gene were enrolled. In the stratified analysis of rs1380576, we found that Asians might have less susceptibility to cancer. We found that rs4245739 was correlated with a decreased risk of cancer for Asians and breast cancer susceptibility. However, for other polymorphisms, the results showed no significant association with cancer risk. Conclusion MDM4 rs1380576 polymorphism is negatively associated with the risk of cancer in the Asian population. MDM4 rs4245739 polymorphism is inversely associated with cancer risk for Asians and breast cancer susceptibility.

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