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Association of TGF-ß1 Polymorphisms with Breast Cancer Risk: A Meta-Analysis of Case-Control Studies †.
Krishna, B Madhu; Jana, Samir; Panda, Aditya K; Horne, David; Awasthi, Sanjay; Salgia, Ravi; Singhal, Sharad S.
Afiliação
  • Krishna BM; Department of Medical Oncology, Beckman Research Institute of City of Hope, Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
  • Jana S; Department of Medical Oncology, Beckman Research Institute of City of Hope, Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
  • Panda AK; Department of Bioscience and Bioinformatics, Khallikote University, Konisi, Berhampur, Odisha 761008, India.
  • Horne D; Department of Molecular Medicine, Beckman Research Institute of City of Hope, Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
  • Awasthi S; Department of Internal Medicine, Division of Hematology & Oncology, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
  • Salgia R; Department of Medical Oncology, Beckman Research Institute of City of Hope, Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
  • Singhal SS; Department of Medical Oncology, Beckman Research Institute of City of Hope, Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA.
Cancers (Basel) ; 12(2)2020 Feb 18.
Article em En | MEDLINE | ID: mdl-32085560
ABSTRACT
Reports on the association of TGF-ß1 polymorphisms with breast cancer (BC) have been conflicting, inconsistent, inconclusive, and controversial. PubMed, EMBASE, and Google Scholar were used to identify studies on TGF-ß1 polymorphisms and BC risk. Data were extracted independently, and of the initial 3043 studies, 39 case-control studies were eligible for inclusion in the meta-analysis. Information from these studies was extracted, and the overall associations of three TGF-ß1 polymorphisms (TGF-ß1 29>T/C, TGF-ß1-509 C/T, and TGF-ß1*6A) with BC risk were analyzed using overall allele, homozygous, heterozygous, recessive, and dominant models. None of the three TGF-ß1 polymorphisms studied had a significant influence on the development of BC. However, stratified analysis revealed a positive correlation between the TGF-ß1 29T>C polymorphism and BC risk according to a heterozygous model of the Asian population (odds ratio (OR) = 1.115, 95% confidence interval (CI) = 1.006-1.237, p = 0.039). Interestingly, this polymorphism was associated with lower odds of BC according to a heterozygous model of the Middle Eastern population (OR = 0.602, 95% CI = 0.375-0.966, p = 0.035). Thus, our analysis of large datasets indicates that the TGF-ß1 29T>C polymorphism is significantly associated with BC risk in the Asian population. In contrast, the TGF-ß1*6A and TGF-ß1-509 C/T polymorphisms failed to show an association with BC.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Risk_factors_studies / Systematic_reviews Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Risk_factors_studies / Systematic_reviews Idioma: En Ano de publicação: 2020 Tipo de documento: Article