scholarly journals Association between lncRNA H19 rs217727 polymorphism and the risk of cancer: an updated meta-analysis

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Xue Wang ◽  
Jialing Zhong ◽  
Fang Chen ◽  
Kang Hu ◽  
Suhong Sun ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Confidence Interval ◽  
Subgroup Analysis ◽  
Odds Ratio ◽  
Cancer Susceptibility ◽  
Smoking Status ◽  
Meta Analysis ◽  
Case Control ◽  
Potential Association ◽  
Risk Of Cancer

Abstract Background We have performed this study to evaluate the association between H19 rs217727 polymorphism and the risk of cancer. Methods An odds ratio (OR) with a 95% confidence interval (CI) was applied to determine a potential association. Results A total of 17 case–control publications were selected. This meta-analysis showed that H19 rs217727 has a significant increased association with cancer risk in allelic, homozygous, heterozygote, dominant and recessive models (T vs C: OR = 1.16, 95% CI = 1.06–1.27, I2 = 75.7; TT vs CC: OR = 1.29, 95% CI = 1.06–1.56, I2 = 71.6; CT vs CC: OR = 1.15, 95% CI = 1.01–1.31, I2 = 75.4; CT + TT vs CC: OR = 1.20, 95% CI = 1.05–1.36, I2 = 76.5; TT vs CT + CC: OR = 1.22, 95% CI = 1.02–1.45, I2 = 70.6;). In the subgroup analysis of smoking status, both smokers and nonsmokers showed an increase in cancer risk in allelic, homozygous, dominant and heterozygote models. Conclusion This meta-analysis revealed H19 rs217727 may influence cancer susceptibility.

Association Between LncRNA MALAT1 Polymorphisms and Cancer Risk: A Meta-Analysis Based on7007 Cases and 8791 Controls

2020 ◽  
Author(s):  
Lei Zheng ◽  
Lijuan Rong ◽  
Zhenyun Cheng
Keyword(s):  
Cancer Risk ◽  
Confidence Interval ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Dominant Model ◽  
Digestive Cancer ◽  
Increased Risk ◽  
Lncrna Malat1 ◽  
Risk Of Cancer ◽  
Allelic Model

Abstract Background: LncRNA metastasis associated with lung adenocarcinoma transcript-1 (MALAT1) was involved in pathogenesis and progress of diverse cancers. To investigate the association of MALAT1 and cancer susceptibility, this meta-analysis was appraised.Methods: 12 studies including 7007 cancer patients and 8791 controls were selected for this meta-analysis. Ratio radiation (ORS) and 95% confidence interval (CIS) were used to assess cancer susceptibility.Results: There was no significant association between rs3200401 polymorphism and the risk of cancer. However, rs3200401 was correlated with an increased risk of digestive cancer in allelic model (OR=1.15, 95%CI=1.04-1.28, P=0.009) and dominant model (OR=1.16, 95%CI=1.02-1.31, P=0.02). There was a borderline association between rs664589 and cancer susceptibility under the dominant model (OR=1.17, 95%CI=1.00-1.38, P=0.05). Rs619586 was associated with decreased cancer risk in all populations under four models (G vs A: OR=0.86, 95%CI=0.78-0.94, P=0.001; GG vs AA: OR=0.60, 95%CI=0.42-0.84, P=0.003; GG+AG vs AA: OR=0.87, 95%CI=0.78-0.97, P=0.009; GG vs AG+AA: OR=0.61, 95%CI=0.44-0.84, P=0.003). Moreover, rs1194338 was decreased associated with cancer susceptibility (A vs C: OR=0.89, 95%CI=0.80-0.98, P=0.01; AA vs CC: OR=0.77, 95%CI=0.62-0.96, P=0.02; AA+AC vs CC: OR=0.87, 95%CI=0.77-1.00, P=0.04; AA vs AC+CC: OR=0.82, 95%CI=0.67-1.00, P=0.05).Conclusion: Our results suggest that rs619586 and rs1194338 are associated with decreased cancer risk, while rs3200401 and rs664589 correlated with increased digestive cancer risk.

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 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 ATM rs189037 significantly increases the risk of cancer in non-smokers rather than smokers: an updated meta-analysis

2019 ◽  
Vol 39 (6) ◽  
Author(s):  
Xiaoxia He ◽  
Peng Wang ◽  
Ying Li ◽  
Na Shen
Keyword(s):  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Smoking Status ◽  
Meta Analysis ◽  
Molecular Characteristics ◽  
Functional Variant ◽  
Atm Gene ◽  
Risk Of Cancer ◽  
The Relationship

AbstractRs189037 (G>A) is an important functional variant with ataxia telangiectasia mutated (ATM) gene, which might affect ATM’s expression involvement in several human cancers. Increasing evidence reveals that smoking-related cancers have distinct molecular characteristics from non-smoking cancers. Until now, the role of ATM rs189037 in cancer risk stratified by smoking status still remains unclear. To evaluate the association between ATM rs189037 and cancer risk based on smoking status, we performed this meta-analysis by a comprehensive literature search via databases of PubMed, Embase, Web of Science and CNKI, updated till January 2019. Multivariate-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were extracted from eligible studies if available, to assess the relationship strengths. A total of seven eligible studies were included, comprising 4294 cancer patients (smokers: 1744 [40.6%]) and 4259 controls (smokers: 1418 [33.3%]). Results indicated a significant association of ATM rs189037 with cancer risk. In non-smokers, compared with GG genotype, AA genotype increased a 1.40-fold risk of overall cancer (OR = 1.40, 95% CI = 1.15–1.70, Pheterogeneity=0.433, I2 = 0.0%). Subgroup analysis in lung cancer (LC) also exhibited a significant result (OR = 1.41, 95% CI = 1.15–1.73, Pheterogeneity=0.306, I2 = 17.0%) only in non-smokers. However, the association was not observed in smokers, no matter for overall cancer or for LC. Our findings highlight that ATM rs189037 significantly increases cancer susceptibility in non-smokers, rather than in smokers. The association is prominent in LC.

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 The Protective Effect of Dietary Phytosterols on Cancer Risk: A Systematic Meta-Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Lu Jiang ◽  
Xin Zhao ◽  
Jun Xu ◽  
Chujun Li ◽  
Yue Yu ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Fixed Effects ◽  
Meta Analysis ◽  
Case Control ◽  
Systematic Evaluation ◽  
Response Analysis ◽  
Relative Risks ◽  
Anticancer Effects ◽  
Summary Relative Risk ◽  
Risk Of Cancer

Backgrounds/Aims. Many studies have explored the association between dietary phytosterols and cancer risk, but the results have been inconsistent. We aimed to provide a synopsis of the current understanding of phytosterol intake for cancer risk through a systematic evaluation of the results from previous studies. Methods. We performed a literature search of PUBMED, EMBASE, CNKI, and Wanfang, and studies published before May 2019 focusing on dietary total phytosterols, β-sitosterol, campesterol, stigmasterol, β-sitostanol, and campestanol, as well as their relationships with cancer risk, were included in this meta-analysis. Summaries of the relative risks from 11 case-control and case-cohort studies were eventually estimated by randomized or fixed effects models. Results. The summary relative risk for the highest versus the lowest intake was 0.63 (95% confidence interval [CI] = 0.49–0.81) for total phytosterols, 0.74 (95% CI = 0.54–1.02) for β-sitosterol, 0.72 (95% CI = 0.51–1.00) for campesterol, 0.83 (95% CI = 0.60–1.16) for stigmasterol, 1.12 (95% CI = 0.96–1.32) for β-sitostanol, and 0.77 (95% CI = 0.65–0.90) for campestanol. In a dose-response analysis, the results suggested a linear association for campesterol and a nonlinear association for total phytosterol intake. Conclusion. Our findings support the hypothesis that high phytosterol intake is inversely related to risk of cancer. Further studies with prospective designs that control for vital confounders and investigate the important anticancer effects of dietary phytosterols are warranted.

scholarly journals Apple intake and cancer risk: a systematic review and meta-analysis of observational studies

2016 ◽  
Vol 19 (14) ◽  
pp. 2603-2617 ◽  
Author(s):  
Roberto Fabiani ◽  
Liliana Minelli ◽  
Patrizia Rosignoli
Keyword(s):  
Cancer Risk ◽  
Oral Cavity ◽  
Publication Bias ◽  
Observational Studies ◽  
Statistical Tests ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Risk Of Cancer

AbstractObjectiveConflicting results on the association between fruit consumption and cancer risk have been reported. Little is known about the cancer preventive effects of different fruit types. The present meta-analysis investigates whether an association exists between apple intake and cancer risk.DesignRelevant observational studies were identified by literature search (PubMed, Web of Science and Embase). A random-effect model was used to estimate the cancer risk in different anatomical sites. Between-study heterogeneity and publication bias were assessed using adequate statistical tests.ResultsTwenty case–control (three on lung, five on colorectal, five on breast, two on oesophageal, three on oral cavity, two on prostate and one each on pancreas, bladder, larynx, ovary, kidney and brain cancer) and twenty-one cohort (seven on lung, two on colorectal, three on breast and one each on oesophageal, pancreas, bladder, kidney, endometrial, head–neck, urothelial and stomach cancer) studies met the inclusion criteria. Comparing the highest v. lowest level of apple consumption, the reduction of lung cancer risk was statistically highly significant in both case–control (OR=0·75; 95% CI 0·63, 0·88; P=0·001, I2=0 %) and cohort studies (relative risk=0·89; 95% CI 0·84, 0·94; P<0·001, I2=53 %). Instead, in the case of colorectal (OR=0·66; 95% CI 0·54, 0·81; P<0·001, I2=55%), breast (OR=0·79; 95% CI 0·73, 0·87; P<0·001, I2=1 %) and overall digestive tract (OR=0·50; 95% CI 0·36, 0·69; P<0·001, I2=90 %) cancers a significant preventive effect of apples was found only in case–control studies while prospective studies indicated no effect. No evidence of publication bias could be detected for colorectal, oral cavity, oesophageal and breast cancer. However, some confounding effects may be present and related to the consumption of other fruit which have not been considered as adjusting factors.ConclusionsThe present meta-analysis indicates that consumption of apples is associated with a reduced risk of cancer in different anatomical sites.

scholarly journals Traumatic Injury and Multiple Sclerosis: A Systematic Review and Meta-Analysis

2013 ◽  
Vol 40 (2) ◽  
pp. 168-176 ◽  
Author(s):  
Sharon A. Warren ◽  
Susan Armijo Olivo ◽  
Jorge Fuentes Contreras ◽  
Karen V. L. Turpin ◽  
Douglas P. Gross ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Systematic Review ◽  
Confidence Interval ◽  
Cohort Studies ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Traumatic Injury ◽  
Case Control ◽  
Case Control Studies ◽  
Newcastle Ottawa Scale

A systematic review/meta-analysis of literature addressing a possible association between traumatic injury and onset of multiple sclerosis was conducted. Medline, Embase, Cochrane DSR, Ovid HealthStar, CINAHL, ISI Web of Science and Scopus were searched for analytical studies from 1950 to 2011. Two investigators independently reviewed articles for inclusion, assessing their quality using the Newcastle-Ottawa Scale. Of the 13 case-control studies included, 8 were moderate quality and 5 low; of the 3 cohort studies 2 were high and 1 moderate. Meta-analysis including moderate and low quality case-control studies produced a modest but significant odds ratio: 1.41 (95% confidence interval: 1.03, 1.93). However, when low quality studies were excluded, the resulting odds ratio was non-significant. Cohort studies produced a non-significant standardized incidence ratio of 1.00 (95% confidence interval: 0.86, 1.16). These findings support the conclusion that there is no association between traumatic injury and multiple sclerosis onset; more high quality cohort studies would help to confirm this observation.

scholarly journals Genetic variants in the MicroRNA biosynthetic pathway Gemin3 and Gemin4 are associated with a risk of cancer: a meta-analysis

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1724 ◽  
Author(s):  
Wenbo Zhu ◽  
Jun Zhao ◽  
Jieyu He ◽  
Daxun Qi ◽  
Lina Wang ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Biosynthetic Pathway ◽  
Web Of Science ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
Language Restriction ◽  
On Line ◽  
Risk Of Cancer

The effects of the microRNA (miRNA) processing genes Gemin3 and Gemin4 on cellular signaling pathways could have a major impact on the risk of cancer. Several studies concerning the association between the Gemin3 rs197412, Gemin4 rs7813 and Gemin4 rs2740348 polymorphisms with cancer susceptibility have been published. The present meta-analysis summarized this evidence and evaluated the precision of these relationships. Relevant studies (published prior to December 16th, 2015) without language restriction were identified using the PubMed, Web of Science and China National Knowledge Infrastructure (CNKI) on-line databases. The data were extracted from the eligible studies and were processed using Stata 12.0 software. Seven studies (2,588 cases and 2,549 controls) indicated that the rs7813 polymorphism was significantly associated with increased cancer risk (TT vs TC + CC, OR = 1.18 95% CI [1.05–1.32]). Six studies (1,314 cases and 1,244 controls) indicated that rs2740348 was associated with an increased cancer risk (GG vs. GC + CC, OR = 1.41 95% CI [1.00–1.83]). However the rs197412 polymorphism was not associated with an increased cancer risk (OR = 0.97 95% CI [0.80–1.19]). Our results suggest that the Gemin4 rs7813 T > C and rs2740348 G > C polymorphisms are associated with cancer susceptibility.

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