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1.
Oncol Res Treat ; 39(9): 534-8, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-27614738

RESUMO

BACKGROUND: Breast cancer is the most common cancer among women. 1 in every 8 women in the United States have a lifetime risk of getting breast cancer. MTHFR is a key enzyme that regulates the folate metabolism which has an important role in DNA synthesis, repair, and methylation. The aim of the current study was to analyze the association between the MTHFR gene C677T (Ala222Val, rs1801133) polymorphism and breast cancer. PATIENTS AND METHODS: 199 breast cancer patients and 195 healthy controls were included in this study. The MTHFR gene C677T polymorphism was analyzed using polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) methods. A meta-analysis including 707 breast cancer patients and 880 controls from Turkish populations was also carried out. Statistical analyses were performed using the χ2 test. RESULTS: No statistically significant differences in allele and genotype frequencies were observed between patients and controls (p > 0.05). Although not statistically significant, TT homozygous variants were encountered more frequently in patients than in controls. A statistically significant association was observed between the MTHFR gene C677T polymorphism and the tumor histology of breast cancer patients (p = 0.038). The results of the meta-analysis suggested that there was a high association between breast cancer and the MTHFR gene C677T polymorphism in Turkish populations (p < 0.0001). CONCLUSION: In our study, we did not find any association between the MTHFR gene C677T polymorphism and breast cancer. However, a meta-analysis of the 6 association studies carried out in Turkish populations with 707 patients and 880 controls showed a significant association between breast cancer and the MTHFR gene C677T polymorphism.


Assuntos
Biomarcadores Tumorais/genética , Neoplasias da Mama/epidemiologia , Neoplasias da Mama/genética , Estudos de Associação Genética , Metilenotetra-Hidrofolato Redutase (NADPH2)/genética , Polimorfismo de Nucleotídeo Único/genética , Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Marcadores Genéticos/genética , Predisposição Genética para Doença/epidemiologia , Predisposição Genética para Doença/genética , Humanos , Pessoa de Meia-Idade , Prevalência , Fatores de Risco , Turquia/epidemiologia
2.
Oncol Res Treat ; 38(9): 418-22, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-26407154

RESUMO

BACKGROUND: Polymorphisms of estrogen synthesis- and adiposity-related genes can contribute to the development of breast cancer. The purpose of the current study was to analyze the association between CYP17A1 T27C (rs743572) and LEP -2548G>A (rs7799039) gene polymorphisms and breast cancer. MATERIAL AND METHODS: 199 breast cancer patients and 197 healthy controls were included in the study. The CYP17A1 and LEP gene polymorphisms were determined using polymerase chain reaction-based restriction fragment length polymorphism analysis. RESULTS: No statistically significant association was found between these polymorphisms and breast cancer risk among a Turkish population. However, stratified analysis of these polymorphisms in relation to different clinicopathological characteristics of breast cancer revealed an association between breast cancer diagnosis and the CYP17A1 T27C polymorphism (p = 0.024). CONCLUSION: Our study suggests no strong association between the CYP17A1 T27C and LEP -2548G>A polymorphisms and the incidence of breast cancer in Turkish women. The potential association between CYP17A1 T27C and the type of breast cancer deserves further consideration.


Assuntos
Neoplasias da Mama/epidemiologia , Neoplasias da Mama/genética , Predisposição Genética para Doença/genética , Leptina/genética , Polimorfismo de Nucleotídeo Único/genética , Esteroide 17-alfa-Hidroxilase/genética , Biomarcadores Tumorais/genética , Feminino , Estudos de Associação Genética , Marcadores Genéticos/genética , Predisposição Genética para Doença/epidemiologia , Humanos , Pessoa de Meia-Idade , Prevalência , Reprodutibilidade dos Testes , Fatores de Risco , Sensibilidade e Especificidade
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