Literature DB >> 31257627

Association of caspase 8 promoter variants and haplotypes with the risk of breast cancer and its molecular profile in an Iranian population: A case-control study.

Matineh Barati Bagherabad1, Fahimeh Afzaljavan1,2, Elham Vahednia1, Mahdi Rivandi1,2, Fatemeh Vakili3, Susan Sadat Hashemi Sadr1, Fatemeh Homaei Shandiz4, Alireza Pasdar1,5.   

Abstract

Caspase 8 (CASP8) gene plays a key role in the regulation of apoptotic cell death. Expression variation in this gene has been associated with the risk of breast cancer. The aim of this study was to investigate the association of rs3834129 and rs3769821, as functional variants, and their haplotypes with molecular profile as well as the risk of breast cancer in an Iranian population. A case-control study was conducted on 812 participants including 293 breast cancer patients and 519 healthy controls. Genotyping was performed by polymerase chain reaction-based methods. Statistical analysis was performed using SPSS Ver16. The association between polymorphisms and haplotypes with the risk of breast cancer was estimated by calculating odds ratios (OR) and chi-square (χ2 ) tests. In comparison with ins allele (I) of rs3834129, carriers of del allele (D) showed a lower risk of breast cancer (OR, 0.65; 95% confidence interval [CI], 0.49-0.87; P = 0.004). The multivariate logistic regression model indicated DD genotype as an independent factor for a decreased risk of breast cancer in our population (OR, 0.18; 95% CI, 0.06-0.58; P = 0.004). Also, the C allele of rs3769821 was associated with a 43% increased risk of breast cancer (P = 0.005); however, after adjustment for confounding factors, no association with rs3769821 and breast cancer was observed. In addition, D-T haplotype and diplotype presented protective effects (P < 0.05). Our results indicate that genetic variations in the promoter region of CASP8 gene, especially rs3834129, may serve as a genetic risk factor for breast cancer in an Iranian population.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  breast cancer; haplotype; polymorphism; rs3769821; rs3834129

Year:  2019        PMID: 31257627     DOI: 10.1002/jcb.28781

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  2 in total

1.  Novel biomarkers and prediction model for the pathological complete response to neoadjuvant treatment of triple-negative breast cancer.

Authors:  Yiqun Han; Jiayu Wang; Binghe Xu
Journal:  J Cancer       Date:  2021-01-01       Impact factor: 4.207

2.  The impact of CYP19A1 variants and haplotypes on breast cancer risk, clinicopathological features and prognosis.

Authors:  Ahmad Mohammed Alwan; Fahimeh Afzaljavan; Jalil Tavakol Afshari; Fatemeh Homaei Shandiz; Matineh Barati Bagherabad; Elham Vahednia; Nahid Kheradmand; Alireza Pasdar
Journal:  Mol Genet Genomic Med       Date:  2021-05-20       Impact factor: 2.183

  2 in total

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