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

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.

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

Journal of International Medical Research ◽

10.1177/0300060519895667 ◽

2019 ◽

pp. 030006051989566 ◽

Cited By ~ 1

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.

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Association between TP53 codon 72 G>C Polymorphism and Thyroid Carcinoma Risk: An Up-to-Date Meta-Analysis

Asian Pacific Journal of Cancer Biology ◽

10.31557/apjcb.2016.1.4.89-95 ◽

2016 ◽

Vol 1 (4) ◽

pp. 89-95

Author(s):

Jamal Jafari Nedooshan ◽

Mohammad Forat Yazdi ◽

Hossein Neamatzadeh ◽

Masoud Zare Shehneh ◽

Saeed Kargar ◽

...

Keyword(s):

Thyroid Cancer ◽

Cancer Risk ◽

Cancer Susceptibility ◽

Meta Analysis ◽

Case Control ◽

Case Control Studies ◽

P53 Codon 72 ◽

Codon 72 ◽

Thyroid Cancer Risk ◽

Carcinoma Risk

Objective: Many published data on the association between p53 codon 72 G>C polymorphism and thyroid carcinoma risk showed inconclusive results. The aim this study was to assess the association between p53 codon 72 G>C polymorphism and thyroid cancer risk. Methods: A literature search of PubMed, EMBASE, Google scholar and Web of Science databases for case–control studies examining the association between p53 codon 72 G>C polymorphism and thyroid cancer susceptibility up October 2016 was performed. Odds ratios (OR) with 95 % confidence intervals (95 % CI) were used to assess the strength of the association. Results: A total of 12 case–control studies involving 2,062 thyroid cancer patients and 3,027 controls were included. There was a significant association between the p53 codon 72 G>C polymorphism and thyroid cancer susceptibility in the overall populations under homozygote (CC vs. GG: OR = 1.18, 95% CI 1.12-3.05, P = 0.01) and recessive model (CC vs. GC+GG: OR = 1.73, 95% CI 1.16-2.59, P = 0.007). Subgroup analysis by ethnicity showed that there was no significant association between p53 codon 72 G>C polymorphism and thyroid cancer risk in Caucasians, Asians and mixed Brazilian. No significant publication bias was observed by using Begg’s funnel plot and Egger’s test. Conclusion: Present meta-analysis indicated that the p53 codon 72 G>C polymorphism may be associated with thyroid cancer risk. However, more studies with large sample size are needed to further assess the associations.

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

BioMed Research International ◽

10.1155/2017/3971259 ◽

2017 ◽

Vol 2017 ◽

pp. 1-10 ◽

Cited By ~ 1

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.

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An overall and dose-response meta-analysis for thyrotropin and thyroid cancer risk by histological type

Oncotarget ◽

10.18632/oncotarget.10282 ◽

2016 ◽

Vol 7 (30) ◽

pp. 47750-47759 ◽

Cited By ~ 9

Author(s):

Na Hu ◽

Zhan-Ming Li ◽

Jin-Feng Liu ◽

Zhen-Zhen Zhang ◽

Li-Shun Wang

Keyword(s):

Thyroid Cancer ◽

Cancer Risk ◽

Dose Response ◽

Meta Analysis ◽

Histological Type ◽

Thyroid Cancer Risk

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Assessment of thyroid cancer risk in more than 334,000 patients with inflammatory bowel disease: a case-control study and a meta-analysis

World Journal of Surgical Oncology ◽

10.1186/s12957-018-1485-4 ◽

2018 ◽

Vol 16 (1) ◽

Cited By ~ 2

Author(s):

Lihong Cao

Keyword(s):

Inflammatory Bowel Disease ◽

Thyroid Cancer ◽

Cancer Risk ◽

Bowel Disease ◽

Case Control Study ◽

Meta Analysis ◽

Case Control ◽

Thyroid Cancer Risk ◽

Inflammatory Bowel ◽

Control Study

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Association of miRNA biosynthesis genes DROSHA and DGCR8 polymorphisms with cancer susceptibility: a systematic review and meta-analysis

Bioscience Reports ◽

10.1042/bsr20180072 ◽

2018 ◽

Vol 38 (3) ◽

Cited By ~ 4

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.

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