Association between HLA-DP Gene Polymorphisms and Cervical Cancer Risk: A Meta-Analysis

Objective. We aimed to derive a more precise estimation of the associations between human leukocyte antigens DP (HLA-DP) gene polymorphisms and cervical cancer risk by meta-analysis. Methods. PubMed, EMBASE, ScienceDirect, Web of Science, Chinese National Knowledge Infrastructure (CNKI), and Wanfang databases were systematically searched to identify studies investigating the relationship between HLA-DP gene polymorphisms and cervical cancer. The associations between them were evaluated by pooled OR and 95% CI. Results. A total of 11 studies including 5008 cases and 9322 controls with 11 HLA-DP alleles were included in the current meta-analysis. Results. The results showed that HLA-DPB1⁎03:01 was significantly associated with an increased risk of cervical cancer (OR=1.252, 95%CI: 1.116-1.403, Pz=0.001), while HLA-DPB1⁎04:02 and HLA-DP rs3117027 G allele were significantly associated with a decreased risk of cervical cancer (OR=0.744, 95%CI: 0.652-0.848, Pz=0.001; OR=0.790, 95%CI: 0.745-0.837, Pz=0.001), and HLA-DP rs9277535 G allele was significantly associated with a decreased risk of cervical cancer in Asia (OR=0.802, 95%CI: 0.753-0.855, Pz=0.001). Subgroup analyses based on race system showed that HLA-DPB1⁎13:01 was significantly associated with an increased risk of cervical cancer in Asia (OR=1.834, 95%CI: 1.107-3.039, Pz=0.019). No significant association was established for the HLA-DP following alleles: DPB1⁎02:01, DPB1⁎02:02, DPB1⁎04:01, DPB1⁎05:01, rs4282438, and rs3077. Conclusion. HLA-DP gene polymorphisms (HLA-DPB1⁎03:01, DPB1⁎04:02, DPB1⁎13:01, rs9277535, and rs3117027) were significantly associated with cervical cancer.

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Interleukin 1β and Interleukin 1 Receptor Antagonist Gene Polymorphisms and Cervical Cancer: A Meta-analysis

International Journal of Gynecological Cancer ◽

10.1097/igc.0000000000000165 ◽

2014 ◽

Vol 24 (6) ◽

pp. 984-990 ◽

Cited By ~ 9

Author(s):

Shimu Wu ◽

Guiping Hu ◽

Jun Chen ◽

Guangyun Xie

Keyword(s):

Cervical Cancer ◽

Cancer Risk ◽

Receptor Antagonist ◽

Publication Bias ◽

Gene Polymorphisms ◽

Meta Analysis ◽

Interleukin 1 ◽

Interleukin 1Β ◽

Cervical Cancer Risk ◽

Increased Risk

ObjectivesPrevious studies investigating the association between interleukin 1β (IL-1β) and its receptor antagonist (IL-1RN) polymorphism and cervical cancer risk have reported controversial results. Thus, we examined these associations by performing meta-analyses.Methods and MaterialsFourteen studies testing the association between IL-1β and/or IL-1RN gene polymorphisms and cervical cancer were examined: 5 studies of IL-1β–511C/T, 3 studies of IL-1β–31T/C, and 6 studies of IL-1RN. Overall and ethnicity-specific summary odds ratios (ORs) and corresponding 95% confidence intervals (CIs) for cervical cancer associated with these polymorphisms were estimated using fixed- and random-effects models. Heterogeneity and publication bias were evaluated.ResultsMeta-analysis of all 6 studies showed variant genotypes of IL-1RN to be associated with an elevated cervical cancer risk (RN2/RN2 vs RN1/RN1: OR, 2.64; 95% CI, 1.29–5.40; recessive: OR, 2.15; 95% CI, 1.06–4.38; dominant: OR, 1.60; 95% CI, 1.07–2.38). Combined analysis indicated that IL-1β–511C/T polymorphism was also associated with increased risk of cervical cancer (TT vs CC: OR, 1.56; 95% CI, 1.22–1.99; CT vs CC: OR, 1.61; 95% CI, 1.31–1.99; dominant: OR, 1.60; 95% CI, 1.31–1.95). No significant association of IL-1β–31T/C and cervical cancer risk was detected. There was no evidence of publication bias.ConclusionsThis meta-analysis suggested that the IL-1RN and IL-1β–511C/T polymorphisms may contribute to genetic susceptibility of cervical cancer. More studies are needed to further evaluate the role of the IL-1β–31T/C polymorphism in the etiology of cancer.

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Association Between the IL-6 rs1800795 Polymorphism and the Risk of Cervical Cancer: A Meta-Analysis of 1210 Cases and 1525 Controls

Technology in Cancer Research & Treatment ◽

10.1177/1533034616672806 ◽

2016 ◽

Vol 16 (5) ◽

pp. 662-667 ◽

Cited By ~ 7

Author(s):

Haiping Liu ◽

Dan Lyu ◽

Yan Zhang ◽

Lianbing Sheng ◽

Ning Tang

Keyword(s):

Cervical Cancer ◽

Cancer Risk ◽

Interleukin 6 ◽

Fixed Effects ◽

Meta Analysis ◽

Developed Countries ◽

Nucleotide Polymorphisms ◽

Fixed Effects Model ◽

Cervical Cancer Risk ◽

Knowledge Infrastructure

Cervical cancer is the second most common cancer and the third leading cause of cancer-related death among females in less developed countries. Studies have shown that the single-nucleotide polymorphisms of interleukin 6 might be associated with cervical cancer risk. A total of 710 articles from EMBASE, EBSCO, Web of science, PubMed, Springer link, and Chinese National Knowledge Infrastructure databases were reviewed in our study. A meta-analysis on the associations between interleukin 6 rs1800795 polymorphism and cervical cancer risk was carried out by comparison using 5 genetic models. In this systematic review, 5 studies were analyzed. The pooled population included 2735 participants (1210 cases and 1525 controls). The overall odds ratio (G vs C alleles) using fixed-effects model was 0.85 (95% confidence interval 0.75-0.97), P = .02. Our results show that the C genotype of interleukin 6 rs1800795 is associated with higher cervical cancer risk. Our results indicate that interleukin 6 rs1800795 polymorphism might be associated with susceptibility to cervical cancer.

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The Relationship of the TLR9 and TLR2 Genetic Polymorphisms with Cervical Cancer Risk: a Meta-Analysis of Case-Control Studies

Pathology & Oncology Research ◽

10.1007/s12253-018-0465-x ◽

2018 ◽

Vol 26 (1) ◽

pp. 307-315 ◽

Cited By ~ 4

Author(s):

Shasha Yang ◽

Lan Liu ◽

Dongyuan Xu ◽

Xiangdan Li

Keyword(s):

Cervical Cancer ◽

Cancer Risk ◽

Genetic Polymorphisms ◽

Meta Analysis ◽

Case Control ◽

Case Control Studies ◽

Cervical Cancer Risk ◽

Relationship Of ◽

The Relationship

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The Association between Five Genetic Variants in MicroRNAs (rs2910164, rs11614913, rs3746444, rs11134527, and rs531564) and Cervical Cancer Risk: A Meta-Analysis

BioMed Research International ◽

10.1155/2021/9180874 ◽

2021 ◽

Vol 2021 ◽

pp. 1-13

Author(s):

Jia Liu ◽

Peng Dong ◽

Liane Zhou ◽

Shijun Wang

Keyword(s):

Cervical Cancer ◽

Cancer Risk ◽

Large Scale ◽

Meta Analysis ◽

Recessive Model ◽

Case Control Studies ◽

Chi Square ◽

Cervical Cancer Risk ◽

Increased Risk ◽

Inconsistency Index

The objective of this study was to conduct a meta-analysis to systematically summarize and investigate the association of miRNA-124 rs531564, miRNA-218 rs11134527, miRNA-146a rs2910164, miRNA-196a2 rs11614913, and miRNA-499 rs3746444 polymorphisms with cervical cancer. A systematic review was performed to identify relevant studies using Embase and PubMed databases. A chi-square-based Q -test combined with the inconsistency index ( I 2 ) was used to check the heterogeneity between studies. A total of six case-control studies on rs2910164 and rs11614913, 4 studies on rs3746444 and rs11134527, and three studies on rs531564 were included. No evidence of association was found between miR-146a rs2910164, miR-196a2 rs11614913, miRNA-499 rs3746444, and miR-218 rs11134527 polymorphisms and cervical cancer risk in all the genetic models. The miR-124 rs531564 polymorphism was associated with a statistically increased risk of cervical cancer in a homozygote model (CC vs. GG: OR = 2.87 , 95% CI: 1.40-5.91, P H = 0.887 ), dominant model (GC/CC vs. GG: OR = 1.38 , 95% CI: 1.07-1.80, P H = 0.409 ), and recessive model (CC vs. GC/GG: OR = 2.26 , 95% CI: 1.58-3.23, P H = 0.979 ). However, this finding should be interpreted with caution for limited samples and heterogeneity. Large-scale and well-designed studies are needed to validate our result.

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The HLA-DQB1 gene polymorphisms associated with cervical cancer risk: A meta-analysis

Biomedicine & Pharmacotherapy ◽

10.1016/j.biopha.2015.06.002 ◽

2015 ◽

Vol 73 ◽

pp. 58-64 ◽

Cited By ~ 11

Author(s):

Xiaojing Zhang ◽

Zunfu Lv ◽

Hua Yu ◽

Fangfang Wang ◽

Jianqing Zhu

Keyword(s):

Cervical Cancer ◽

Cancer Risk ◽

Gene Polymorphisms ◽

Meta Analysis ◽

Cervical Cancer Risk ◽

Dqb1 Gene

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Cytochrome P450 1A1 (CYP1A1) gene polymorphisms and cervical cancer risk: a meta-analysis

Molecular Biology Reports ◽

10.1007/s11033-012-1470-x ◽

2012 ◽

Vol 39 (6) ◽

pp. 6647-6654 ◽

Cited By ~ 16

Author(s):

Theodoros N. Sergentanis ◽

Konstantinos P. Economopoulos ◽

Souzana Choussein ◽

Nikos F. Vlahos

Keyword(s):

Cervical Cancer ◽

Cytochrome P450 ◽

Cancer Risk ◽

Gene Polymorphisms ◽

Meta Analysis ◽

Cytochrome P450 1A1 ◽

Cervical Cancer Risk ◽

Cyp1a1 Gene

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Significant association between interleukin-10 gene polymorphisms and cervical cancer risk: a meta-analysis

Oncotarget ◽

10.18632/oncotarget.24193 ◽

2018 ◽

Vol 9 (15) ◽

pp. 12365-12375 ◽

Cited By ~ 7

Author(s):

Chong Guo ◽

Li Wen ◽

Ju-Kun Song ◽

Weng-Jing Zeng ◽

Chao Dan ◽

...

Keyword(s):

Cervical Cancer ◽

Cancer Risk ◽

Gene Polymorphisms ◽

Meta Analysis ◽

Interleukin 10 ◽

Cervical Cancer Risk

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Serum uric acid levels and risk of prehypertension: a meta-analysis

Clinical Chemistry and Laboratory Medicine (CCLM) ◽

10.1515/cclm-2016-0339 ◽

2017 ◽

Vol 55 (3) ◽

Cited By ~ 8

Author(s):

Menglin Jiang ◽

Dandan Gong ◽

Yu Fan

Keyword(s):

Uric Acid ◽

Serum Uric Acid ◽

Meta Analysis ◽

Elevated Serum ◽

China National Knowledge Infrastructure ◽

Cross Sectional ◽

Knowledge Infrastructure ◽

Increased Risk ◽

Cross Sectional Studies ◽

The Relationship

AbstractElevated serum uric acid (SUA) levels may increase the risk of prehypertension. However, the findings from these studies remain conflicting. The objective of this study was to determine the relationship between SUA levels and risk of prehypertension by conducting a meta-analysis. We conducted a comprehensive literature search of PubMed, Embase, China National Knowledge Infrastructure, VIP, and the Wangfang database without language restrictions through May 2015. Observational studies assessing the relationship between SUA levels and prevalence of prehypertension were included. Pooled adjust odds ratio (OR) and corresponding 95% confidence intervals (CI) of prehypertension were calculated for the highest vs. lowest SUA levels. Prehypertension was defined as systolic blood pressure (BP) ranging from 120 to 139 mmHg or diastolic BP ranging from 80 to 89 mmHg. Eight cross-sectional studies with a total of 21,832 prehypertensive individuals were included. Meta-analysis showed that elevated SUA levels were associated with increased risk of prehypertension (OR: 1.84; 95% CI: 1.42–2.38) comparing the highest vs. lowest level of SUA levels. Subgroup analyses showed that elevated SUA levels significantly increased the risk of prehypertension among men (OR: 1.60; 95% CI: 1.12–2.21) and women (OR: 1.59; 95% CI: 1.17–2.16). Elevated SUA levels are positively associated with the risk of prehypertension in the general population. However, more well-designed longitudinal studies are needed before a definitive conclusion can be drawn due to the cross-sectional studies included are susceptible to bias.

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