Association Between miR-146a rs2910164 Polymorphism and Breast Cancer Susceptibility: An Updated Meta-analysis of 9545 Cases and 10030 Controls

MicroRNA ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Abdolkarim Moazeni-Roodi ◽  
Sajjad Aftabi ◽  
Sahel Sarabandi ◽  
Shima Karami ◽  
Mohammad Hashemi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Web Of Science ◽  
Genetic Model ◽  
Cancer Susceptibility ◽  
Quantitative Estimation ◽  
Meta Analysis ◽  
Breast Cancer Susceptibility ◽  
Precise Estimation ◽  
Potential Link ◽  
Stratified Analysis

Background: Several studies have reported a possible association of the miR-146a rs2910164 polymorphism with Breast Cancer (BC) development. However, the correlation between this polymorphism and susceptibility to BC is under debate. The current meta-analysis was designed and performed to more conclusively evaluate the miR-146a rs2910164 polymorphism and its potential link to BC. Methods: Our team has selected eligible studies (published up to October 2, 2020) from several electronic databases, including Web of Science, PubMed, Scopus and Google Scholar. A total number of 9,545 BC cases and 10,030 controls extracted from 26 eligible articles were included in this study. We utilized pooled Odds Ratios (ORs) as well as 95% confidence intervals (95% CIs) under five genetic models for quantitative estimation of any possible association between miR-146a rs2910164 polymorphism and BC. Results: Based on this meta-analysis, our findings suggest that there is no significant association between miR-146a rs2910164 polymorphism and BC risk. However, stratified analysis revealed that the rs2910164 polymorphism significantly increased the risk of BC in hospital-based studies using the homozygous genetic model (OR=1.37, 95%CI=1.01-1.86, p=0.043, CC vs. GG). Neither Asian nor Caucasian populations showed any significant association between rs2910164 polymorphism and BC susceptibility. Conclusion: In summary, our findings suggest that BC development is not associated with miR-146a rs2910164 polymorphism. However, larger ingenious future investigations might be needed for a more precise estimation of any association between miR-146a rs2910164 polymorphism and BC.

scholarly journals Association Between Long Non-Coding RNA POLR2E rs3787016 Polymorphism and Cancer Susceptibility: A Meta-analysis of 8725 Cancer Cases and 10710 Controls

2020 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Saeid Ghavami ◽  
Mohsen Taheri ◽  
Mohammad Hashemi
Keyword(s):  
Breast Cancer ◽  
Web Of Science ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Positive Association ◽  
Cancer Development ◽  
Non Coding Rna ◽  
Stratified Analysis ◽  
The Relationship ◽  
Long Non Coding Rna

Objectives: Several studies have reported a correlation between the POLR2E rs3787016 polymorphism and cancer development, but findings are inconsistent. Therefore, we designed the current study to understand how rs3787016 polymorphism impacts cancer susceptibility. Methods: We searched the Scopus, Web of Science, and PubMed databases for studies related to the topic of interest published up to March 2019. A total of 11 relevant studies, encompassing 8,761 cancer cases and 10,534 controls, were retrieved and subject to quantitative analysis. The strength of the relationship was evaluated using the pooled odds ratios (ORs) with 95% confidence intervals (CIs). Results: Overall, the findings proposed a positive association between rs189037 polymorphism and susceptibility to cancer in homozygous (OR = 1.32, 95% CI = 1.11 - 1.57, P = 0.002, TT vs. CC), recessive (OR = 1.21, 95% CI = 1.06-1.39, P = 0.005, TT vs. CT + CC), and allele (OR = 1.12, 95% CI = 1.02-1.22, P = 0.021, T vs. C) genetic models. Stratified analysis showed that rs3787016 increased the risk of prostate and breast cancer. In addition, we found a significant association between the variant and increased cancer risk in Asian and Caucasian populations. Conclusions: In summary, the findings of the current meta-analysis suggest that the POLR2E rs3787016 polymorphism is an indicator of cancer susceptibility.

Evaluation of Association of LOC105371267 Polymorphisms and Breast Cancer Susceptibility

2020 ◽  
Author(s):  
Xiaoli Liu ◽  
Dandan Li ◽  
Chunjuan He ◽  
Linna Peng ◽  
Shishi Xing ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Haplotype Analysis ◽  
Genetic Model ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Candidate Snps ◽  
Healthy Individuals ◽  
Stratified Analysis ◽  
Relationship Of ◽  
The Relationship

Abstract Background: LOC105371267 (also known as PR-lncRNA1) was reported to be a p53-regulated lncRNA, which played essential roles in the pathogenesis of breast cancer (BC). We aimed to investigate the potential associations between LOC105371267 polymorphisms and BC risk. Method: Totally, 555 healthy individuals and 561 BC patients were recruited. Five candidate SNPs of LOC105371267 were genotyped with Agena MassARRAY system. Odds ratio (OR) and 95% confidence intervals (CIs) were applied to evaluate the relationship of LOC105371267 with BC susceptibility. Additionally, stratification analyses based on clinical features and haplotype analysis were also conducted. Results: A decreased BC risk was observed rs3931698 GG genotype (OR = 0.30, P = 0.018) and recessive genetic model (OR = 0.30, P = 0.021). Stratified analysis with age also revealed that this SNP was associated with a lower risk at age < 52 years. Meanwhile, multiple clinical characteristics, including ER and PR status and stage were all correlated with SNPs rs6499221, rs3931698, rs3852740 and rs8044565.Conclusion: Four LOC105371267 SNPs (rs6499221, rs3931698, rs8044565 and rs3852740) were found to be correlated with development of BC. Additionally, ER, PR, and stage were also linked to LOC105371267 polymorphisms, providing novel diagnostic and therapeutic targets for of BC management.

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.

scholarly journals Risk Estimation as a Decision-Making Tool for Genetic Analysis of the Breast Cancer Susceptibility Genes

1999 ◽  
Vol 15 (1-3) ◽  
pp. 53-65 ◽  
Author(s):  
Jenny Chang-Claude ◽  
Heiko Becher ◽  
Maria Caligo ◽  
Diana Eccles ◽  
Gareth Evans ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Ovarian Cancer ◽  
Familial Breast Cancer ◽  
Genetic Model ◽  
Germ Line ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Cancer Gene ◽  
Brca2 Mutations ◽  
Breast Cancer Gene

For genetic counselling of a woman on familial breast cancer, an accurate evaluation of the probability that she carries a germ-line mutation is needed to assist in making decisions about genetic-testing.We used data from eight collaborating centres comprising 618 families (346 breast cancer only, 239 breast or ovarian cancer) recruited as research families or counselled for familial breast cancer, representing a broad range of family structures. Screening was performed in affected women from 618 families for germ-line mutations in BRCA1 and in 176 families for BRCA2 mutations, using different methods including SSCP, CSGE, DGGE, FAMA and PTT analysis followed by direct sequencing. Germ-line BRCA1 mutations were detected in 132 families and BRCA2 mutations in 16 families. The probability of being a carrier of a dominant breast cancer gene was calculated for the screened individual under the established genetic model for breast cancer susceptibility, first, with parameters for age-specific penetrances for breast cancer only [7] and, second, with age-specific penetrances for ovarian cancer in addition [20]. Our results indicate that the estimated probability of carrying a dominant breast cancer gene gives a direct measure of the likelihood of detecting mutations in BRCA1 and BRCA2. For breast/ovarian cancer families, the genetic model according to Narod et al. [20] is preferable for calculating the proband's genetic risk, and gives detection rates that indicate a 50% sensitivity of the gene test. Due to the incomplete BRCA2 screening of the families, we cannot yet draw any conclusions with respect to the breast cancer only families.

XRCC3 5′-UTR and IVS5-14 polymorphisms and breast cancer susceptibility: a meta-analysis

2010 ◽  
Vol 122 (2) ◽  
pp. 489-493 ◽  
Author(s):  
Li-Xin Qiu ◽  
Chen Mao ◽  
Lei Yao ◽  
Ke-Da Yu ◽  
Ping Zhan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Breast Cancer Susceptibility

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.

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