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.

scholarly journals TP53 p.Arg72Pro polymorphism 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.

scholarly journals Arg72Pro polymorphism in P53 gene and Breast Cancer Risk Population: a meta-analysis of case-control studies matched

2019 ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Jun Wang ◽  
Erin Neuschler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Disease Risk ◽  
Meta Analysis ◽  
Additive Model ◽  
P53 Gene ◽  
Additive Models ◽  
Case Control Studies ◽  
Genotype Frequencies

Abstract Background: The effect of the Arg72Pro variant of the P53 gene on the risk of developing breast cancer remains variable in populations. However, using strategies like grouping age-matched controls with disease cases may provide a strong meta-analysis. Our goal was to perform a meta-analysis in order to study the association of Arg72Pro variant of P53 gene and breast cancer. Methods: Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Age-matched control studies on breast cancer that evaluated the genotype frequencies of the Arg72Pro P53 gene were selected. Fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the disease risk. Hardy-Weinberg equilibrium test was used to measure deviation in the distribution of genotypes in controls. Inconsistency was calculated to determine heterogeneity among the studies. Estimated publication bias was performed through the funnel plot and Egger’s test. Results: Nine publications with controls age-matched cases including 4684 disease cases and 4636 controls were evaluated in this meta-analysis, all were in the Caucasian population. Our results suggested that Arg72Pro P53 was associated with a risk for breast cancer in the dominant model (Pro/Pro+Arg/Pro vs. Arg/Arg: OR= 1.16, 95% CI = 1.04-1.31) and the additive model (Pro vs. Arg: OR= 1.13, 95% CI = 1.03-1.24, P= 0.007), but not in the recessive model (Pro/Pro vs. Arg/Arg + Arg/Pro, OR = 1.18, 95% CI = 0.96-1.44; P= 0.12). Conclusions: This meta-analysis found significant association between the Arg72Pro polymorphism in the P53 gene and the breast cancer risk. Individuals carrying at least one Pro allele of the P53 gene are more likely to have breast cancer with dominant and additive models than individuals carrying the Arg allele.

scholarly journals Arg72Pro polymorphism in P53 gene and Breast Cancer Risk Population: a meta-analysis of case-control studies matched

2019 ◽  
Author(s):  
Brehima Diakite ◽  
Yaya Kassogue ◽  
Guimogo Dolo ◽  
Jun Wang ◽  
Erin Neuschler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Disease Risk ◽  
Meta Analysis ◽  
Additive Model ◽  
P53 Gene ◽  
Additive Models ◽  
Case Control Studies ◽  
Genotype Frequencies

Abstract Background The effect of the Arg72Pro variant of the P53 gene on the risk of developing breast cancer remains variable in populations. However, using strategies like grouping age-matched controls with disease cases may provide a strong meta-analysis. Our goal was to perform a meta-analysis in order to study the association of Arg72Pro variant of P53 gene and breast cancer.Methods Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Age-matched control studies on breast cancer that evaluated the genotype frequencies of the Arg72Pro P53 gene were selected. Fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the disease risk. Hardy-Weinberg equilibrium test was used to measure deviation in the distribution of genotypes in controls. Inconsistency was calculated to determine heterogeneity among the studies. Estimated publication bias was performed through the funnel plot and Egger’s test.Results Nine publications with controls age-matched cases including 4684 disease cases and 4636 controls were evaluated in this meta-analysis, all were in the Caucasian population. Our results suggested that Arg72Pro P53 was associated with a risk for breast cancer in the dominant model (Pro/Pro+Arg/Pro vs. Arg/Arg: OR= 1.16, 95% CI = 1.04-1.31) and the additive model (Pro vs. Arg: OR= 1.13, 95% CI = 1.03-1.24, P= 0.007), but not in the recessive model (Pro/Pro vs. Arg/Arg + Arg/Pro, OR = 1.18, 95% CI = 0.96-1.44; P= 0.12).Conclusions This meta-analysis found significant association between the Arg72Pro polymorphism in the P53 gene and the breast cancer risk. Individuals carrying at least one Pro allele of the P53 gene are more likely to have breast cancer with dominant and additive models than individuals carrying the Arg allele.

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.

scholarly journals Reproductive factors and breast cancer risk: A meta-analysis of case–control studies in Indian women

2019 ◽  
Vol 08 (02) ◽  
pp. 080-084
Author(s):  
Gayatri Vishwakarma ◽  
Harrison Ndetan ◽  
Durgesh Nandini Das ◽  
Garima Gupta ◽  
Moushumi Suryavanshi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Significant Risk ◽  
Reproductive Factors ◽  
Breast Cancer Case ◽  
Case Control ◽  
Cancer Case ◽  
Case Control Studies

Abstract Background/Objective: India is the world's most biodiverse region and is undergoing a period of dramatic social and economic change. Due to population's explosion, climate change and lax implementation of environmental policies, the incidence of breast cancer is increasing. From population-based cancer registry data, breast cancer is the most common cancer in women in urban registries where it constitutes more than 30% of all cancers in females. We conducted a meta-analysis of all breast cancer case–control studies conducted in India during 1991–2018 to find pooled estimates of odds ratio (OR). Materials and Methods: Eligible studies were identified through a comprehensive literature search of PubMed, EMBASE, and HINARI databases from 1991 to January 2018. This analysis included 24 observational studies out of 34 that reported the case–control distribution of reproductive factors, body mass index (BMI) and type of residence. The analysis was performed using RevMan 5.3 (Review Manager, 2017) applying the random-effects model. Results: A total of 21,511 patients (9889 cases and 11,622 controls) were analyzed, resulting in statistically significant association between breast cancer and the following reproductive factors: never breastfeed (OR: 3.69; 95% confidence interval [CI]: 1.70, 8.01), menopausal age >50 years (OR: 2.88; 95% CI: 1.85, 3.85), menarche age <13 years (OR: 1.83; 95% CI: 1.34, 2.51), null parity (OR: 1.58; 95% CI: 1.21, 2.06), postmenopause (OR: 1.35; 95% CI: 1.13, 1.62), and age at the 1st pregnancy >25 years (OR: 1.57; 95% CI: 1.37, 1.80). Family history (FH) of breast cancer (OR: 5.33; 95% CI: 2.89, 9.82), obesity (OR: 1.19; 95% CI: 1.00, 1.42), and urban residence (OR: 1.22; 95% CI: 1.03, 1.44) were also found to be significant risk factors. Conclusion: The results of this meta-analysis are indicative of significant associations between reproductive factors and breast cancer risk, profoundly so among women experiencing menopause after the age of 50, women who never breastfeed and FH of breast cancer.

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

2019 ◽  
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.ResultsIn the Malian patients studied here, 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 data are supported by the meta-analysis of broader ethnic and population groups.

scholarly journals Association of Interleukin-10 -1082A>G (rs1800896) Polymorphism with Predisposition to Breast Cancer: a Meta-Analysis based on 17 Case-Control Studies

2018 ◽  
Vol 64 (8) ◽  
pp. 756-764 ◽  
Author(s):  
Mostafa Abedinzadeh ◽  
Hossein Neamatzadeh ◽  
Mohammadali Jafari ◽  
Mohammad Forat-Yazdi ◽  
Rezvan Nasiri ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Interleukin 10 ◽  
Case Control ◽  
Genetic Models ◽  
Case Control Studies ◽  
Number Case ◽  
True Association

SUMMARY INTRODUCTION The association between the between IL-10 -1082A>G (rs1800896) polymorphism and breast cancer has been evaluated by several number case-control studies. However, these studies might be underpowered to reveal the true association. OBJECTIVE We have performed a comprehensive meta-analysis to investigate the association IL-10 -1082A>G polymorphism and breast cancer. MATERIALS AND METHODS A systematic literature search was conducted using PubMed, Google Scholar, and Web of Science up to September 20, 2017. Data was analysed with CMA software to identify the strength of the association by pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs). RESULTS A total of 17 case-control studies involving 3275 cases and 3416 controls obtained from database searches were examined. Overall, there was no significant association between IL-10 -1082A>G polymorphism and breast cancer risk under all genetic models. No significant publication bias was found for the five genetic models (G vs. A OR = 1.184, 95% CI = 0.895-1.180, p= 0.230; GG vs. AA: OR = 1.430, 95% CI = 0.927-2.204, p= 0.106; GA vs. AA: OR = 0.966, 95% CI = 0.765-1.221, p= 0.774; GG+GA vs. AA: OR = 0.957, 95% CI = 0.697-1.314, p= 0.786; and GG vs. GA+AA: OR = 1.221, 95% CI = 0.981-1.518, p= 0.073). Moreover, there was no significant association between the IL-10 -1082A>G polymorphism and breast cancer risk by ethnicity. CONCLUSION Our findings indicated that IL-10 -1082A>G (rs1800896) polymorphism might not be a risk factor for the development of breast cancer.

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