scholarly journals Modification of breast cancer risk according to age and menopausal status: a combined analysis of five population-based case–control studies

2014 ◽  
Vol 145 (1) ◽  
pp. 165-175 ◽  
Author(s):  
Amy Trentham-Dietz ◽  
Brian L. Sprague ◽  
John M. Hampton ◽  
Diana L. Miglioretti ◽  
Heidi D. Nelson ◽  
...  
1991 ◽  
Vol 47 (5) ◽  
pp. 707-710 ◽  
Author(s):  
Geoffrey Howe ◽  
Thomas Rohan ◽  
Adriano Decarli ◽  
José Iscovich ◽  
John Kaldor ◽  
...  

2017 ◽  
Author(s):  
Emilie Cordina-Duverger ◽  
Florence Menegaux ◽  
Aboubakari Nambiema ◽  
Sylvia Rabstein ◽  
Volker Harth ◽  
...  

2020 ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Jun Wang ◽  
Erin Neuschler ◽  
...  

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.


2010 ◽  
Vol 21 (12) ◽  
pp. 2281-2285 ◽  
Author(s):  
Qian Li ◽  
Tongzhang Zheng ◽  
Theodore R. Holford ◽  
Peter Boyle ◽  
Yawei Zhang ◽  
...  

Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1871 ◽  
Author(s):  
Jordana Carolina Marques Godinho-Mota ◽  
Larissa Vaz Gonçalves ◽  
Joao Felipe Mota ◽  
Leonardo Ribeiro Soares ◽  
Raquel Machado Schincaglia ◽  
...  

Identification of modifiable risk factors for breast cancer is critical for primary prevention of the disease. The aim of this study was to evaluate how certain lifestyle variables modify the chances of developing breast cancer based on menopausal status. A case-control study was performed in a group of 542 women, 197 who were diagnosed with breast cancer and 344 control individuals. The groups were matched by age, body mass index, and menopausal status. Participants were evaluated for level of physical activity, alcohol consumption, smoking habit, weight, height, and waist circumference (WC). A multivariate logistic regression model was used to estimate odds ratios and 95% confidence intervals (95% CI). Regular consumption of alcoholic beverages (2.91, 95% CI 1.58–5.38 and 1.86, 95% CI 1.15–3.03) and sedentary behavior (2.08; 95% CI 1.12–3.85 and 1.81; 95% CI 1.12–2.94) were associated with breast cancer risk in pre- and postmenopausal women, respectively. High WC (3.31, 95% CI 1.45–7.55) was associated with an increased risk of developing breast cancer in premenopausal women. While in postmenopausal women, current smoking (2.43, 95% CI 1.01–5.83) or previous history of smoking (1.90; 95% CI 1.14–3.14) increased the chances of developing breast cancer. Sedentary behavior and current consumption of alcoholic beverages were more likely to increase the risk of developing breast cancer regardless of menopausal status.


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