Impact of p53 arg72pro SNP on Breast Cancer Risk in North Indian Population

Akhter, Naseem; Dar, Sajad Ahmad; Chattopadhyay, Shilpi; Haque, Shafiul; Anwer, Razique; Jawed, Arshad; Lohani, Mohtashim; Mandal, Raju K.; Shukla, Nootan Kumar; Abdul, Yasir; Husain, Syed Akhtar

doi:10.2174/1389202919666171205104137

Cited by 6 publications

(3 citation statements)

References 88 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Overall, our findings showed that the dominant and additive models were associated with an increased risk of breast cancer for the carriers of 72Pro allele. These results corroborate with the data reported from two recent meta-analyzes, the first covering eleven studies with 950 cases and 882 controls in the Asian population [ 50 ] and the second performed on the Indian population which covered seven studies with 1249 cases and 1838 controls [ 51 ]. These authors in their analysis showed that the dominant and the additive models were associated with the risk of breast cancer.…”

Section: Discussionsupporting

confidence: 90%

p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies

et al. 2020

View full text Add to dashboard Cite

Background The effect of the p.Arg72Pro variant of the P53 gene on the risk of development ofbreast cancer remains variable in populations. However, the use ofstrategies such aspoolingage-matched controls with disease may provide a consistent meta-analysis. Our goal was to perform a meta-analysis in order to assess the association of p.Arg72Pro variant of P53 gene with the risk of breast cancer. Methods Databases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Case-control studies with age-matched on breast cancer havingevaluated the genotype frequencies of the TP53 p.Arg72Pro polymorphism 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 7841 cases and 8876 controls were evaluated in this meta-analysis. Overall, our results suggested that TP53 p.Arg72Pro was associated with the risk of 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 for the recessive model (OR = 1.07, 95% CI = 0.97–1.18, P = 0.19). According to the ethnic group analysis, Pro allele was associated with the risk of breast cancer in Caucasians for the dominant model and additive model (P = 0.02), and Africans for the recessive model and additive model (P = 0.03). Conclusions This meta-analysis found a significant association between TP53 p.Arg72Pro polymorphism and the risk of breast cancer. Individuals carrying at least one Pro allele were more likely to have breast cancer than individuals harboring the Arg allele.

show abstract

Section: Discussionsupporting

confidence: 90%

p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Overall, our ndings showed that the dominant and additive models were associated with an increased risk of breast cancer for the carriers of 72Pro allele. These results corroborate with the data reported from two recent meta-analyzes, the rst covering eleven studies with 950 cases and 882 controls in the Asian population [50] and the second performed on the Indian population which covered seven studies with 1249 cases and 1838 controls [51]. These authors in their analysis showed that the dominant and the additive models were associated with the risk of breast cancer.…”

Section: Discussionsupporting

confidence: 89%

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

Diakité

Kassogue

Dolo

et al. 2020

Preprint

View full text Add to dashboard Cite

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.

show abstract

“…The significant increase in the risk of cancer in relation to the TP53 variants was found when we observed the comparisons between the associations of heterozygous and contrasting alleles (GC vs GG: OR = 7.2500, 95% CI 7.9518-38.3840, X 2 = 60,110, P = <0.0001), (G vs C: OR = 4.2910, 95% CI = 2.6334-6.9919, X 2 = 36.165, P = <0.0001), respectively. Similar results associating this genotype and allele were found in studies (Buyru, Tigli, Dalay, 2003;Rivu et al, 2017;Akhter et al 2018;Ayoubi et al 2018).…”

Section: Discussionsupporting

confidence: 89%

Association between the Arg72Pro Genotypes in the TP53 Gene and Ile655Val in the HER2 Gene and the Risk of Developing Breast Cancer in the Population of Amapá, Northern Brazil

Cardoso

Resque

Yoshio

et al. 2023

Asian Pac J Cancer Prev

View full text Add to dashboard Cite

The State of Amapá is located in the North region of Brazil, with a territorial area of 142,470,762 km 2 and an estimated population of 861,773 inhabitants, with a Human Development Index-HDI of 0.708. In the years 2016-2017, 82 new cases of breast cancer were officially diagnosed in the State population, according to data from the State Department of Health (Secretaria de Saúde do Estado do Amapá-SESA) based on treatments performed at UNACON (Unidade de Alta Complexidade em Oncologia).

show abstract

Impact of p53 arg72pro SNP on Breast Cancer Risk in North Indian Population

Abstract: The findings of our case-control study and meta-analysis suggest a significant association between p53 Arg72Pro polymorphism and an increased risk of breast cancer in Indian population.

Cited by 6 publications

References 88 publications

p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies

p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies

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

Association between the Arg72Pro Genotypes in the TP53 Gene and Ile655Val in the HER2 Gene and the Risk of Developing Breast Cancer in the Population of Amapá, Northern Brazil

Contact Info

Product

Resources

About