Association of TP53 Codon 72 Arg&gt;Pro Polymorphism with Breast and Lung Cancer Risk in the South Asian Population: A Meta-Analysis

Jafrin, Sarah; Aziz, Abdul; Anonna, Shamima Nasrin; Akter, Tahmina; Naznin, Nura Ershad; Reza, Md. Sharif; Islam, Mohammad Safiqul

doi:10.31557/apjcp.2020.21.6.1511

Cited by 12 publications

(8 citation statements)

References 42 publications

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“…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

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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.

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Section: Discussionsupporting

confidence: 90%

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

et al. 2020

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“…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

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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.

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“…Similar findings were present in this allele association with breast cancer. This was also confirmed by multiple studies where the carriers of the Arg72Pro allele were shown to have a higher risk of breast cancer in both the dominant and additive models compared to the wild type (wtTP53) (33,34). This would follow that because a significant percentage of breast cancer have p53 mutations, it is reasonable to posit that patients with bladder cancer as an index cancer that is also associated with p53 mutation on the same allele would have an increased incidence of breast cancer as a second primary malignancy.…”

Section: Discussionmentioning

confidence: 53%

Filling the gaps in the research about second primary malignancies after bladder cancer: Focus on race and histology

Othmane

Zhang

et al. 2022

Front. Public Health

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PurposePrevious research has shown that bladder cancer has one of the highest incidences of developing a second primary malignancy. So, we designed this study to further examine this risk in light of race and histology.Patients and methodsUsing the surveillance, epidemiology, and end results (SEER) 18 registry, we retrospectively screened patients who had been diagnosed with bladder cancer between 2000 and 2018. We then tracked these survivors until a second primary cancer diagnosis, the conclusion of the trial, or their deaths. In addition to doing a competing risk analysis, we derived standardized incidence ratios (SIRs) and incidence rate ratios (IRRs) for SPMs by race and histology.ResultsA total of 162,335 patients with bladder cancer were included, and during follow-ups, a second primary cancer diagnosis was made in 31,746 of these patients. When the data were stratified by race, SIRs and IRRs for SPMs showed a significant difference: Asian/Pacific Islanders (APIs) had a more pronounced increase in SPMs (SIR: 2.15; p 0.05) than White and Black individuals who had an SIRs of 1.69 and 1.94, respectively; p 0.05. In terms of histology, the epithelial type was associated with an increase in SPMs across all three races, but more so in APIs (IRR: 3.51; 95% CI: 2.11–5.85; p 0.001).ConclusionWe found that race had an impact on both the type and risk of SPMs. Additionally, the likelihood of an SPM increases with the length of time between the two malignancies and the stage of the index malignancy.

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Association of TP53 Codon 72 Arg>Pro Polymorphism with Breast and Lung Cancer Risk in the South Asian Population: A Meta-Analysis

Cited by 12 publications

References 42 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

Filling the gaps in the research about second primary malignancies after bladder cancer: Focus on race and histology

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