scholarly journals Genetic association between NFKB1 −94 ins/del ATTG Promoter Polymorphism and cancer risk: a meta-analysis of 42 case-control studies

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Duan Wang ◽  
Tianhang Xie ◽  
Jin Xu ◽  
Haoyang Wang ◽  
Weinan Zeng ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Genetic Association ◽  
Meta Analysis ◽  
Promoter Polymorphism ◽  
Case Control ◽  
Case Control Studies

Association between CASP3 polymorphisms and overall cancer risk: A meta‐analysis of case‐control studies

2018 ◽  
Vol 120 (5) ◽  
pp. 7199-7210 ◽  
Author(s):  
Mohammad Hashemi ◽  
Abdolkarim Moazeni‐Roodi ◽  
Saeid Ghavami
Keyword(s):  
Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies

scholarly journals The TERT rs2736100 Polymorphism and Cancer Risk: A Meta-analysis Based on 25 Case-Control Studies

BMC Cancer ◽  
2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Peng Zou ◽  
Aihua Gu ◽  
Guixiang Ji ◽  
Lin Zhao ◽  
Peng Zhao ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies

scholarly journals Oral Contraceptive Use and Breast Cancer Risk Assessment: A Systematic Review and Meta-Analysis of Case-Control Studies, 2009–2020

Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5654
Author(s):  
Agnieszka Barańska ◽  
Agata Błaszczuk ◽  
Wiesław Kanadys ◽  
Maria Malm ◽  
Katarzyna Drop ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Oral Contraceptive ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Library ◽  
Control Group ◽  
Case Control Studies ◽  
Increased Risk ◽  
Breast Cancer Risk Assessment

To perform a meta-analysis of case-control studies that addressed the association between oral contraceptive pills (OC) use and breast cancer (BrCa), PubMED (MEDLINE), Embase, and the Cochrane Library were searched to identify case-control studies of OC and BrCa published between 2009 and 2020. We used the DerSimonian–Laird method to compute pooled odds ratios (ORs) and confidence intervals (CIs), and the Mantel–Haenszel test to assess the association between OC use and cancer. Forty-two studies were identified that met the inclusion criteria and we included a total of 110,580 women (30,778 into the BrCa group and 79,802 into the control group, of which 15,722 and 38,334 were using OC, respectively). The conducted meta-analysis showed that the use of OC was associated with a significantly increased risk of BrCa in general, OR = 1.15, 95% CI: 1.01 to 1.31, p = 0.0358. Regarding other risk factors for BrCa, we found that increased risk was associated significantly with early menarche, nulliparous, non-breastfeeding, older age at first parity, postmenopause, obesity, smoking, and family history of BrCa. Despite our conclusion that birth control pills increase the cancer risk being supported by extensive previous studies and meta-analyzes, further confirmation is required.

scholarly journals p.Arg72Pro polymorphism of P53 and Breast Cancer Risk: A meta-analysis of case-control studies

2020 ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Jun Wang ◽  
Erin Neuschler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Additive Model ◽  
P53 Gene ◽  
Case Control ◽  
Additive Models ◽  
Case Control Studies ◽  
Genotype Frequencies

Abstract Background :The effect of the p.Arg72Pro variant of the P53 gene on the risk of developmentof breast cancer remains variable in populations. However, the use of strategiessuchas pooling age-matched controls with disease cases may provide a solid meta-analysis. Our goal was to perform a meta-analysis in order to assessthe association of p.Arg72Provariant of P53 gene with breast cancer risk. Methods : Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Age-matched case-control studies on breast cancer that have evaluated the genotype frequencies of the p.Arg72Pro of P53 gene were selected. The fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the risk of disease. Inconsistency was calculated to determine heterogeneity among the studies. The publication bias was estimated using the funnel plot. Results : Twenty-one publications with cases age-matched controls including7841disease cases and 8876controls were evaluated in this meta-analysis. Overall, our results suggested that p.Arg72ProP53 was associated with a risk for breast cancer for the dominant model (OR= 1.09, 95% CI = 1.02-1.16; P= 0.01) and the additive model (OR= 1.09, 95% CI = 1.01-1.17; P= 0.03), but not in the recessive model (OR = 1.07, 95% CI = 0.97-1.16; P= 0.19). According to the ethnic group, allele Pro has been associated with breast cancer risk in Europeans for the dominant and additive models. Conclusions : This meta-analysis found a significant association between p.Arg72Pro in the P53 gene and the risk of breast cancer. Individuals carrying at least one Pro allele of the P53 gene are more likely to have breast cancer with dominant and additive models than individualsharboringthe Arg allele.

Hsa-miR-499 polymorphism (rs3746444) and cancer risk: A meta-analysis of 17 case–control studies

Gene ◽  
2012 ◽  
Vol 509 (2) ◽  
pp. 267-272 ◽  
Author(s):  
Yang Wang ◽  
Baohong Yang ◽  
Xiubao Ren
Keyword(s):  
Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies

scholarly journals Three ADIPOR1 Polymorphisms and Cancer Risk: A Meta-Analysis of Case-Control Studies

PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0127253 ◽  
Author(s):  
Jiaxiang Ye ◽  
Li Jiang ◽  
Changliang Wu ◽  
Aiqun Liu ◽  
Sufei Mao ◽  
...  
Keyword(s):  
Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies

scholarly journals The MPO−463G>A Polymorphism and Lung Cancer Risk: A Meta-Analysis Based on 22 Case–Control Studies

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e65778 ◽  
Author(s):  
Jun-Ping Yang ◽  
Wen-Bo Wang ◽  
Xiao-Xi Yang ◽  
Lei Yang ◽  
Li Ren ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Lung Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies
Sign in / Sign up

Export Citation Format

Share Document