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 Association between PXR polymorphisms and cancer risk: 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 ◽  
Meta Analysis ◽  
Pregnane X Receptor ◽  
Recessive Model ◽  
Dominant Model ◽  
Nucleotide Polymorphisms ◽  
Case Control Studies ◽  
Single Nucleotide ◽  
Novel Biomarkers ◽  
Risk Of Cancer

Current studies have explored the correlation between the single nucleotide polymorphisms (SNPs) of pregnane X receptor (PXR) and cancer risk. However, the findings were conflicting. Hence, we performed a comprehensive review and meta-analysis for these researches to determine the effect of PXR polymorphisms on the risk of cancer. Eligible publications were collected based on a series of rigorous inclusion and exclusion criteria. In consequence, a total of eight case–control studies (from seven citations) covering 11143 cases and 12170 controls were involved in a meta-analysis of ten prevalent PXR SNPs (rs10504191 G/A, rs3814058 C/T, rs6785049 A/G, rs1464603 A/G, rs1523127 A/C, rs2276706 G/A, rs2276707 C/T, rs3732360 C/T, rs3814055 C/T, rs3814057 A/C). The correlations between PXR SNPs and cancer risk were estimated by odds ratios (ORs) with their 95% confidence intervals (95%CIs). The findings demonstrated that rs3814058 polymorphism (CT compared with CC: pooled OR = 1.280, P=6.36E-05; TT compared with CC: pooled OR = 1.663, P=2.40E-04; dominant model: pooled OR = 1.382, P=2.58E-08; recessive model: pooled OR = 1.422, P=0.002; T compared with C: pooled OR = 1.292, P=6.35E-05) and rs3814057 polymorphism (AC compared with AA: pooled OR = 1.170, P=0.036; dominant model: pooled OR = 1.162, P=0.037) were associated with the risk of overall cancer. In stratified analyses, rs3814058 polymorphism was revealed to increase the cancer risk in lung cancer subgroup. In summary, this meta-analysis indicates that the rs3814057 and rs3814058 polymorphisms of PXR gene play crucial roles in the pathogenesis of cancer and may be novel biomarkers for cancer-forewarning in overall population or in some particular subgroups.

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 dectin-1 gene single nucleotide polymorphisms and fungal infection: a systemic review and meta-analysis

2019 ◽  
Vol 39 (11) ◽  
Author(s):  
Peiru Zhou ◽  
Yufei Xie ◽  
Zhimin Yan ◽  
Xiaosong Liu ◽  
Hong Hua
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Fungal Infection ◽  
Meta Analysis ◽  
Invasive Pulmonary Aspergillosis ◽  
Recessive Model ◽  
Convincing Evidence ◽  
Systemic Review ◽  
Nucleotide Polymorphisms ◽  
Case Control Studies ◽  
Single Nucleotide

Abstract Objectives: To investigate the association between dectin-1 gene single nucleotide polymorphisms (SNPs) and susceptibility to fungal infection (FI). Methods: Databases were searched electronically and manually to identify case–control studies concerning dectin-1 SNPs and FI, which were published up to 12 November 2018. The Newcastle–Ottawa Quality Assessment Scale was used to determine the study quality and bias. The SNP frequencies of the B (the variant or minor allele) and A (the wild or major allele) alleles of the dectin-1 gene in both cases and controls were analyzed with regard to FI susceptibility. Results: Eight high-quality studies were included in the review. Systemic review of the included studies demonstrated that dectin-1 SNPs rs3901533 and rs7309123 might be associated with susceptibility to invasive pulmonary aspergillosis infection; moreover, rs16910527 SNP can possibly increase the susceptibility to oropharyngeal candidiasis in HIV-positive patients. The meta-analysis identified significant associations between dectin-1 SNPs and overall FI risk in the homozygote model (pooled odds ratio (OR) 1.77, P=0.04). When classified by subtypes, significant associations were also found for deep FI in the homozygote model (pooled OR 2.46, P=0.01) and the recessive model (pooled OR 2.85, P=0.002). There appeared to be no significant association between dectin-1 SNPs and superficial FI. Conclusion: Systemic review of the included studies suggested that dectin-1 SNPs rs3901533, rs7309123, and rs16910527 might play a role in FI susceptibility. The meta-analysis provided convincing evidence that dectin-1 SNPs might have an important role in FI susceptibility, especially for deep FI.

scholarly journals Association of Interleukin-16 rs4778889 T>C Gene Polymorphism with Cancer Risk: a Meta-analysis

2020 ◽  
Author(s):  
Qin Lei ◽  
Zhao Jiawen ◽  
Zhao Yutong ◽  
Ma Chenjun ◽  
Li Chaobin ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Gene Polymorphism ◽  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Sensitivity Analyses ◽  
Nucleotide Polymorphisms ◽  
Case Control Studies ◽  
Single Nucleotide ◽  
The Relationship ◽  
Larger Sample

Abstract BACKGROUND: Rs4778889 T>C is one of the single nucleotide polymorphisms (SNPs) in interleukin-16 (IL-16). As a growth factor, IL-16 might play a significant impact on cancer formation. Several studies have investigated the relationship between IL-16 rs4778889 T>C gene polymorphisms and cancer risk, but the results are contradictory. We conducted a meta-analysis on the association between IL-16 rs4778889 T>C gene polymorphism and cancer risk. METHODS: Twelve case–control studies with 3066 cases and 4433 controls from Web of Science, PubMed, and Embase databases were included. The data was analyzed using the STATA software and the combined odds ratio (ORs) and the corresponding 95% confidence interval (CIs) were used to identify the correlation strength. RESULTS: Our results show that no significant associations were observed between the IL-16 rs4778889 T>C gene polymorphisms and cancer risk in all genetic models (C vs. T: OR=1.06, 95% CI: 0.90–1.26, Ph<0.001; CC vs. TT: OR=1.07, 95% CI: 0.71–1.62, Ph<0.001; CT vs. TT: OR=1.07, 95% CI: 0.91–1.26, Ph=0.002; CC+CT vs. TT: OR=1.08, 95% CI: 0.90–1.30, Ph<0.001; CC vs. CT+TT: OR=1.04, 95% CI: 0.73–1.50, Ph=0.001). Subgroup and sensitivity analyses also were performed. CONCLUSIONS: The results of this meta-analysis indicate that there are no significant associations between IL-16 rs4778889 T>C gene polymorphisms and cancer risk. To verify these results, further studies with larger sample size and multiracial populations are needful. Keywords: IL-16, polymorphisms, cancer, meta-analysis

scholarly journals Effects of four single nucleotide polymorphisms of EZH2 on cancer risk: a systematic review and meta-analysis

2018 ◽  
Vol Volume 11 ◽  
pp. 851-865 ◽  
Author(s):  
Zhixin Ling ◽  
Zonghao You ◽  
Ling Hu ◽  
Lei Zhang ◽  
Yiduo Wang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cancer Risk ◽  
Single Nucleotide Polymorphisms ◽  
Meta Analysis ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

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 The role of single nucleotide polymorphisms of IL-1A -889C>T (rs1800587), TNF-A -238G>A (rs361525), and VDR TaqI (rs731236) on susceptibility to herniated nucleus pulposus

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 419
Author(s):  
Azharuddin Azharuddin ◽  
Muhammad Ilmawan ◽  
Jonny Karunia Fajar ◽  
Marhami Fahriani ◽  
Sukamto S. Mamada ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Nucleus Pulposus ◽  
Meta Analysis ◽  
Interleukin 1 ◽  
Recessive Model ◽  
Nucleotide Polymorphisms ◽  
Necrosis Factor Alpha ◽  
Single Nucleotide ◽  
Herniated Nucleus Pulposus

Background: The objective of this study was to determine the role of single nucleotide polymorphisms (SNPs) in interleukin 1 alpha (IL-1A), tumor necrosis factor-alpha (TNF-A), and vitamin D receptor (VDR) genes on the susceptibility to herniated nucleus pulposus (HNP). Methods: Four databases (PubMed, Embase, Cochrane, and Web of Science) were searched as of April 1st, 2021. Authors, publication year, targeted genes, genotype and allele frequency in each case and control groups were collected. Newcastle-Ottawa scale was used to evaluate the publication quality. The pooled estimates of association of IL-1A -889C>T (rs1800587), TNF-A -238G>A (rs361525), and VDR TaqI (rs731236) and susceptibility to HNP were assessed using Z test and presented as odd ratio (OR) and 95% confidence intervals (95%CI). Results: We screened 3,067 unique studies for eligibility and three, two and nine studies on IL-1A -889C>T, TNF-A -238G>A, and VDR TaqI were included, respectively, in our meta-analysis. The studies consisting 369 HNP cases and 433 controls for IL-1A -889C>T, 252 cases and 259 controls for TNF-A -238G>A and 1130 cases and 2096 controls for VDR TaqI. Our pooled estimates indicated that there was no significant association of those SNPs with the susceptibility to HNP in any genotype, dominant model, recessive model, or allele comparations. Conclusion: Although individual studies suggested the important role of gene expression dysregulation associated with SNPs in IL-1A, TNF-A, and VDR, our data indicated that IL-1A -889C>T, TNF-A -238G>A, and VDR TaqI had weak association with HNP susceptibility in both genotypes and allele distributions. However, since heterogeneity was identified among studies included in this meta-analysis, further meta-analysis with a larger population and subgroup analysis on specific population are warranted to support this finding.

scholarly journals Association of PIN3 16-bp Duplication Polymorphism of TP53 gene with Breast Cancer Risk in Mali and A Meta-analysis.

2020 ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Oumar Kassogue ◽  
Mamadou Lassine Keita ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Tp53 Gene ◽  
Case Control ◽  
Recessive Model ◽  
Case Control Studies ◽  
Random Effects Models ◽  
Increased Risk

Abstract Background. Breast cancer, the most common tumor in women in Mali and worldwide has been linked to several risk factors, including genetic factors, such as the PIN3 16-bp duplication polymorphism of TP53 gene. The aim of our study was to evaluate the role of the PIN3 16-bp duplication polymorphism in the susceptibility to breast cancer in the Malian population and to perform a meta-analysis to better understand the correlation with data from other populations.Methods. We analyzed the PIN3 16-bp duplication polymorphism in blood samples of 60 Malian women with breast cancer and 60 healthy appearing Malian women using PCR. In addition, we performed a meta-analysis of data from case-control studies published in articles retrieved from international databases (Pubmed, Harvard University Library, Genetics Medical Literature Database, Genesis Library and Web of Science). Overall, odds ratio (OR) with 95% CI from fixed and random effects models were determined. Inconsistency was used to assess heterogeneity between studies and publication bias was estimated using the funnel plot.Results. In the studied Malian patients, a significant association of PIN3 16-bp duplication polymorphism with breast cancer risk was observed in dominant (A1A2+A2A2 vs. A1A1: OR = 2.26, CI 95% = 1.08-4.73; P = 0.02) and additive (A2 vs. A1: OR =1.87, CI 95% = 1.05-3.33; P = 0.03) models, but not the recessive model (P = 0.38). In the meta-analysis, nineteen (19) articles were included with a total of 6,018 disease cases and 4,456 controls. Except for the dominant model (P = 0.15), an increased risk of breast cancer was detected with the recessive (OR=1.46, 95% CI = 1.15-1.85; P = 0.002) and additive (OR = 1.11, 95% CI = 1.02-1.19; P = 0.01) models.Conclusion. The Malian case-control study suggests that PIN3 16-bp polymorphism duplication of TP53 gene is an important risk factor for breast cancer in Malian women. These findings are supported by the meta-analysis of studies from different ethnicities.

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