scholarly journals A Meta-Analysis of the Association between DNMT1 Polymorphisms and Cancer Risk

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Hao Li ◽  
Jing-wei Liu ◽  
Li-ping Sun ◽  
Yuan Yuan
Keyword(s):  
Cancer Risk ◽  
Dna Methyltransferase ◽  
Large Scale ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Recessive Model ◽  
Future Research ◽  
Nucleotide Polymorphisms ◽  
Knowledge Infrastructure ◽  
Strength Of Association

Previous studies have examined the associations of DNA methyltransferase 1 (DNMT1) polymorphisms, including single nucleotide polymorphisms rs16999593 (T/C), rs2228611 (G/A), and rs2228612 (A/G), with cancer risk. However, the results are inconclusive. The aim of this meta-analysis is to elucidate the associations between DNMT1 polymorphisms and cancer susceptibility. The PubMed, Embase, Web of Science, and Chinese National Knowledge Infrastructure databases were searched systematically to identify potentially eligible reports. Odd ratios and 95% confidence intervals were used to evaluate the strength of association between three DNMT1 polymorphisms and cancer risk. A total of 16 studies were finally included in the meta-analysis, namely, nine studies of 3378 cases and 4244 controls for rs16999593, 11 studies of 3643 cases and 3866 controls for rs2228611, and three studies of 1343 cases and 1309 controls for rs2228612. The DNMT1 rs2228612 (A/G) polymorphism was significantly related to cancer risk in the recessive model. The meta-analysis also suggested that DNMT1 rs16999593 (T/C) may be associated with gastric cancer, while rs2228611 (G/A) may be associated with breast cancer. In future research, large-scale and well-designed studies are required to verify these findings.

scholarly journals Effects of Two Common Polymorphisms rs2910164 in miR-146a and rs11614913 in miR-196a2 on Gastric Cancer Susceptibility

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Qing Ni ◽  
Anlai Ji ◽  
Junfeng Yin ◽  
Xiangjun Wang ◽  
Xinnong Liu
Keyword(s):  
Gastric Cancer ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Potential Effect ◽  
Recessive Model ◽  
Dominant Model ◽  
Common Snps ◽  
Nucleotide Polymorphisms ◽  
Gastric Cancer Risk

Background. Single nucleotide polymorphisms (SNPs) in genes encoding microRNAs may play important role in the development of gastric cancer. It has been reported that common SNPs rs2910164 in miR-146a and rs11614913 in miR-196a2 are associated with susceptibility to gastric cancer. The published results remain inconclusive or even controversial. A meta-analysis was conducted to quantitatively assess potential association between the two common SNPs and gastric cancer risk.Methods. A comprehensive literature search was performed in multiple internet-based electronic databases. Data from 12 eligible studies were extracted to estimate pooled odds ratios (ORs) and 95% confidence intervals (95% CI).Results. C allele of rs2910164 is associated with reduced gastric cancer risk in heterozygote model and dominant model whereas rs11614913 indicates no significant association. Subgroup analysis demonstrates that C allele of rs2910164 and rs11614913 may decrease susceptibility to diffuse type gastric cancer in dominant model and recessive model, respectively, while rs11614913 increased intestinal type gastric cancer in dominant model.Conclusion. SNPs rs2910164 and rs11614913 might have effect on gastric cancer risk in certain genetic models and specific types of cancer. Further well-designed studies should be considered to validate the potential effect.

scholarly journals Association between XRCC3 rs861539(Thr241Met) polymorphism and thyroid cancer risk (a Meta-analysis)

2021 ◽  
Author(s):  
Yayun Wu ◽  
Yun Ren ◽  
Zhimin Cao ◽  
Kai Zhang ◽  
Xiaoqiang Dong ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Recessive Model ◽  
Single Nucleotide ◽  
Knowledge Infrastructure ◽  
Xrcc3 Gene ◽  
Thyroid Cancer Risk ◽  
Chinese National Knowledge Infrastructure

Abstract Objective To explore the association between single nucleotide polymorphism (SNP) in the XRCC3 rs861539(Thr241Met) locus and thyroid cancer risk. Methods Studies investigating the association between SNP in the XRCC3 gene and thyroid cancer susceptibility were retrieved from the PubMed, Embase, Web of Science, CNKI (Chinese National Knowledge Infrastructure), WanFang, and CBM (China Biology Medicine) databases. Eligible studies were screened according to inclusion/exclusion criteria and principles of quality evaluation. Meta-analysis was performed using Stata 14.0 software. Odds ratios with their corresponding 95% confidence intervals were pooled to assess the association between SNP in the XRCC3 gene rs861539 locus and thyroid cancer susceptibility. Results 10 articles(11 studies) were eligible for this meta-analysis. Meta-analysis results were shown as follows: No significant association was found between XRCC3 rs861539 polymorphism and thyroid cancer risk in Dominant and Overdominant models〔Dominant model: CT+TT vs CC, OR=1.231, 95% CI(0.998, 1.474); Overdominant model: CT vs TT+CC, OR=1.05, 95% CI(0.94, 1.18)〕. Significant associations were found in Recessive and Allelic models〔Recessive model: TT vs CC+CT, OR=1.632, 95% CI(1.349, 1.974); Allelic model: T vs C: OR=1.263, 95% CI(1.091, 1.462)〕. Conclusion The results of this study suggest that the XRCC3 rs861539(Thr241Met) polymorphism may be associated with an increased thyroid cancer risk in overall population, and a tendency for significantly increased thyroid cancer risk in TT(Met/Met) genotype population.

scholarly journals Meta-analysis of the association between MBD4 Glu346Lys polymorphism and cancer risk

2019 ◽  
pp. 030006051989566 ◽  
Author(s):  
Jianguo Wang ◽  
Huaxiang Shen ◽  
Huijun Liang
Keyword(s):  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Strong Association ◽  
Document Retrieval ◽  
Recessive Model ◽  
Knowledge Infrastructure ◽  
Different Populations ◽  
Risk Of Cancer ◽  
Chinese National Knowledge Infrastructure

Objective The purpose of this study was to systematically evaluate the association between methyl-CpG binding domain 4, DNA glycosylase ( MBD4) Glu346Lys polymorphism and cancer risk. Methods A comprehensive document retrieval from the Chinese National Knowledge Infrastructure (CNKI), EMBASE, and PubMed databases was performed through 1 September 2019. The strength of the correlation was assessed using the pooled odds ratio (ORs) and 95% confidence interval (CIs). Results Five relevant studies were retrieved following screening, including 1804 cases and 2193 controls. We found no association between MBD4 Glu346Lys polymorphism and cancer risk under all genetic models. Nevertheless, a subgroup analysis based on country showed a strong association in the Chinese population. Under the recessive model, Chinese individuals with the Lys/Lys genotype had a higher risk of cancer (OR = 1.37, 95% CI = 1.11–1.70). Conclusion Analysis of the MBD4 Glu346Lys polymorphism in different populations will help to elucidate the pathogenesis of cancer. The polymorphism can be utilized as a biomarker for cancer susceptibility among Chinese people.

scholarly journals Association betweenNFKB1−94ins/del ATTG Promoter Polymorphism and Cancer Susceptibility: An Updated Meta-Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Xiao Yang ◽  
Pengchao Li ◽  
Jun Tao ◽  
Chao Qin ◽  
Qiang Cao ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Large Scale ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Asian Population ◽  
Promoter Polymorphism ◽  
Recessive Model ◽  
Case Control Studies ◽  
Functional Studies ◽  
Prostate Cancers

Nuclear factor-κB is associated with the pathogenesis of numerous malignancies, and the functional polymorphism −94ins/del ATTG (rs28362491) in the humanNFKB1gene is associated with cancer risk. Previous studies on the association between the −94ins/del ATTG polymorphism and cancer risk reported conflicting results. To clarify this relationship, we performed a meta-analysis of 21 case-control studies involving 6127 cases and 9238 controls. We used pooled odds ratios (ORs) with their 95% confidence intervals (95% CIs) to assess the association. We found that theNFKB1promoter −94ins/del ATTG polymorphism was significantly associated with cancer risk in four genetic models (ins/ins versus del/del, OR = 1.47, 95% CI = 1.11–1.93; dominant model, OR = 1.26, 95% CI = 1.03–1.53; recessive model, OR = 1.26, 95% CI = 1.05–1.51; ins allele versus del allele, OR = 1.19, 95% CI = 1.05–1.35). Stratified analyses revealed a significant association between the polymorphism and ovarian, oral, and prostate cancers. Similar results were determined in an Asian population and not in a Caucasian population. Thus, our results suggested that the polymorphism can contribute to cancer risk. Moreover, the polymorphism can exert race- and cancer-specific effects on cancer risk. Further large-scale and functional studies are necessary to elucidate this possible effect.

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.

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

2016 ◽  
Vol 16 (5) ◽  
pp. 662-667 ◽  
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.

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.

scholarly journals lncRNA-PCAT1 rs2632159 polymorphism could be a biomarker for colorectal cancer susceptibility

2019 ◽  
Vol 39 (7) ◽  
Author(s):  
Ming-li Yang ◽  
Zhe Huang ◽  
Li-na Wu ◽  
Rong Wu ◽  
Han-xi Ding ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Rectal Cancer ◽  
Colon Cancer ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Bioinformatic Analysis ◽  
Recessive Model ◽  
Eqtl Analysis ◽  
Nucleotide Polymorphisms ◽  
Colon Cancer Risk

AbstractBackground: Single-nucleotide polymorphisms (SNPs) in lncRNAs could be biomarkers for susceptibility to colorectal cancer (CRC), but the association of PCAT1 polymorphisms and CRC susceptibility is yet to be studied. Methods: Five tagSNPs covering the PCAT1 gene were detected through Kompetitive Allele-Specific PCR among 436 CRC patients and 510 controls. An expression quantitative trait locus (eQTL) bioinformatic analysis was then performed. Results: In the present study, PCAT1 rs2632159 polymorphism increased CRC risk by 1.37-fold and 2.19-fold in the dominant and recessive models, respectively (P=0.040 and 0.041). When the CRC cases were divided into colon cancer and rectal cancer, we found that this polymorphism affected colon cancer risk under the dominant model (P=0.022, OR = 1.51) and affected rectal cancer susceptibility under the recessive model (P=0.009, OR = 3.03). A more pronounced effect was observed in the male subgroup in that PCAT1 rs2632159 SNP increased rectal cancer risk by 3.97-fold (P=0.017). When PCAT1 rs2632159 was present, epistatic effects were observed with rs1902432 and rs785005 (P=0.011 and 0.008, respectively). eQTL analysis showed that rs2632159 could influence binding with the transcription factors EBF, LUN-1, and TCF12. Conclusion:PCAT1 rs2632159 SNP could be a biomarker for CRC risk. And the rs1902432 SNP might only have potential to be a biomarker for colon cancer risk.

scholarly journals Comprehensive assessment and meta-analysis of the association between CTNNB1 polymorphisms and cancer risk

2017 ◽  
Vol 37 (6) ◽  
Author(s):  
Yanke Li ◽  
Fuqiang Zhang ◽  
Dehua Yang
Keyword(s):  
Cancer Risk ◽  
Meta Analysis ◽  
Wnt Signaling Pathway ◽  
Recessive Model ◽  
Nucleotide Polymorphisms ◽  
Case Control Studies ◽  
Control Groups ◽  
Single Nucleotide ◽  
Novel Biomarkers ◽  
Stratified Analysis

CTNNB1, encoding β-catenin, is a well-known tumor-related gene in the wnt signaling pathway. It has been reported that CTNNB1 polymorphisms are associated with cancer risk. However, the data were inconsistent. In this article, we conducted a systematic review for the researches related to the association of single nucleotide polymorphisms (SNPs) in CTNNB1 with overall cancer risk. Meanwhile, a series of inclusion and exclusion criteria were set to select articles for quantitative analysis. Consequently, eight case-control studies containing 4388 cases and 4477 controls were included in a meta-analysis of four highly studied CTNNB1 SNPs (rs1798802 A/G, rs4135385 A/G, rs11564475 A/G, and rs2293303 C/T). The association between each SNP and cancer risk was estimated by calculating odds ratios (ORs) and their 95% confidence intervals (95%CIs). The results showed rs1798802 (AA compared with GG: P=0.044, OR=0.72) and rs2293303 (TT compared with CC: P=0.002, OR=2.86; recessive model: P=0.006, OR=2.91; T compared with C: P=0.004, OR=1.19) polymorphisms were associated with overall cancer risk. In stratified analysis, rs4135385 polymorphism was found to elevate the risk in Caucasian or in gastrointestinal cancer subgroup. Additionally, rs2293303 conferred to an increased cancer risk when the source of control groups was hospital-based (HB). In conclusion, the three CTNNB1 SNPs were suggested to have the potential to be novel biomarkers for risk prediction of cancer in overall population or some specific subgroups. Our study could provide research clues for further related investigations.

scholarly journals Associations Between M235T Polymorphism in the AGT Gene and Cancer: An Updated Systematic Review and A Meta-analysis

2021 ◽  
Author(s):  
Jun-Yan Kou ◽  
Jing Huang
Keyword(s):  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Recessive Model ◽  
Cancer Type ◽  
Dominant Model ◽  
Digestive Cancer ◽  
Agt Gene ◽  
The Relationship ◽  
M235t Polymorphism

Abstract Background: We assessed the relationship between AGT gene M235T polymorphism and the susceptibility to cancer by performing an updated meta-analysis.Methods: This study retrospectively searched related articles in the electronic databases. Afterwards, we determined combined odds ratios (ORs) and related 95% confidence intervals (CIs) by the fixed- or random-effects model.Results: The present meta-analysis enrolled altogether 9 articles. On the whole, the relationship between AGT M235T polymorphism and the cancer risk was not significant among the entire population(TT vs MM:OR=1.28,95%CI=0.80-2.04;TM vs MM: OR=0.90, 95%CI = 0.53-1.52;Recessive model: OR= 1.13, 95%CI = 0.83-1.52; Dominant model: OR=0.93, 95%CI =0.55-1.57). But the relationship of AGT M235T polymorphism with the digestive cancer risk was significant upon subgroup analysis stratified according to cancer type (TT vs MM:OR=1.68,95%CI=1.11-2.54;TM vs MM: OR=1.34, 95%CI = 0.97-1.85;Recessive model: OR= 1.27, 95%CI = 0.95-1.70; Dominant model: OR=1.45, 95%CI =1.07-1.96).Conclusion: According to findings in the present meta-analysis, AGT M235T polymorphism may be possibly related to digestive cancer susceptibility.

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