P53 codon 72 polymorphism contributes to breast cancer risk: a meta-analysis based on 39 case–control studies

2009 ◽  
Vol 120 (2) ◽  
pp. 509-517 ◽  
Author(s):  
Zhizhong Zhang ◽  
Meilin Wang ◽  
Dongmei Wu ◽  
Miaomiao Wang ◽  
Na Tong ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
P53 Codon 72 ◽  
Codon 72 ◽  
Codon 72 Polymorphism ◽  
P53 Codon 72 Polymorphism

scholarly journals p53 codon 72 polymorphism and breast cancer risk: A meta-analysis

2013 ◽  
Vol 5 (5) ◽  
pp. 1397-1402 ◽  
Author(s):  
JING HOU ◽  
YUAN JIANG ◽  
WENRU TANG ◽  
SHUTING JIA
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Meta Analysis ◽  
P53 Codon 72 ◽  
Codon 72 ◽  
Codon 72 Polymorphism ◽  
P53 Codon 72 Polymorphism

scholarly journals The Pro Allele of the p53 Codon 72 Polymorphism Is Associated with Decreased Intratumoral Expression of BAX and p21, and Increased Breast Cancer Risk

PLoS ONE ◽  
2012 ◽  
Vol 7 (10) ◽  
pp. e47325 ◽  
Author(s):  
Katharina Proestling ◽  
Alexandra Hebar ◽  
Nina Pruckner ◽  
Erika Marton ◽  
Ursula Vinatzer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
P53 Codon 72 ◽  
Codon 72 ◽  
Codon 72 Polymorphism ◽  
P53 Codon 72 Polymorphism

scholarly journals Association between the p53 codon 72 polymorphism and primary open-angle glaucoma risk: Meta-analysis based on 11 case–control studies

2016 ◽  
Vol 64 (10) ◽  
pp. 756 ◽  
Author(s):  
Hossein Neámatzadeh ◽  
Mohsen Gohari ◽  
MohammadAli Jafari ◽  
Mahta Mazaheri ◽  
Masoud Zare-Shehneh ◽  
...  
Keyword(s):  
Primary Open Angle Glaucoma ◽  
Open Angle Glaucoma ◽  
Meta Analysis ◽  
Case Control ◽  
Open Angle ◽  
Case Control Studies ◽  
P53 Codon 72 ◽  
Codon 72 ◽  
Codon 72 Polymorphism ◽  
P53 Codon 72 Polymorphism

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 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.

The Association Between p53 Codon 72 Polymorphism and Endometrial Cancer Risk: A System Review and Meta-analysis

2016 ◽  
Vol 26 (6) ◽  
pp. 1121-1128 ◽  
Author(s):  
Ke Yi ◽  
LingYun Yang ◽  
Zhu Lan ◽  
MingRong Xi
Keyword(s):  
Endometrial Cancer ◽  
Cancer Risk ◽  
Meta Analysis ◽  
P53 Codon 72 ◽  
Endometrial Cancer Risk ◽  
Codon 72 ◽  
Weinberg Equilibrium ◽  
Codon 72 Polymorphism ◽  
Hardy Weinberg Equilibrium ◽  
P53 Codon 72 Polymorphism

AbstractPolymorphism of p53 codon 72 plays an important role in pathogenesis and development of cancer. Published data on the association between the p53 codon 72 polymorphism and endometrial cancer risk are controversial. A meta-analysis was performed to assess whether the polymorphism of p53 codon 72 is associated with endometrial cancer risk. Medline, Embase, China National Knowledge Infrastructure, and Chinese Biomedicine Databases were searched to identify eligible studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) for p53 codon 72 polymorphism and endometrial cancer were appropriately derived from fixed-effects or random effects models. A total of 12 studies were enrolled in this meta-analysis. The pooled analyses revealed that p53 codon 72 polymorphism was not associated with endometrial cancer risk. Stratified analysis by Hardy-Weinberg equilibrium exhibited a significantly increased risk of endometrial cancer among studies deviated from Hardy-Weinberg equilibrium in heterozygote comparison (Pro/Arg vs Arg/Arg; OR, 0.61; 95% CI, 0.42–0.87) and dominant model (Pro/Pro + Pro/Arg vs Arg/Arg; OR, 0.66; 95% CI, 0.47–0.92). This study indicated that the p53 codon 72 polymorphism may not be associated with endometrial cancer risk.

Sign in / Sign up

Export Citation Format

Share Document