Lack of Association of C677T Methylenetetrahydrofolate Reductase Polymorphism with Breast Cancer Risk in Mali.

IF 1.4 4区 生物学 Q4 GENETICS & HEREDITY Genetics research Pub Date : 2023-01-17 eCollection Date: 2023-01-01 DOI:10.1155/2023/4683831
Brehima Diakite, Yaya Kassogue, Mamoudou Maiga, Guimogo Dolo, Oumar Kassogue, Jane L Holl, Brian Joyce, Jun Wang, Kadidiatou Cisse, Fousseyni Diarra, Mamadou L Keita, Cheick B Traore, Bakarou Kamate, Sidi B Sissoko, Bourama Coulibaly, Adama S Sissoko, Drissa Traore, Fatoumata M Sidibe, Sekou Bah, Ibrahim Teguete, Madani Ly, Sellama Nadifi, Hind Dehbi, Kyeezu Kim, Robert Murphy, Lifang Hou
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Abstract

Methylenetetrahydrofolate reductase (MTHFR) plays a major role in the metabolism of folates and homocysteine, which in turn can affect gene expression and ultimately promote the development of breast cancer. Thus, mutations in the MTHFR gene could influence homocysteine, methionine, and S-adenosylmethionine levels and, indirectly, nucleotide levels. Imbalance in methionine and S-adenosylmethionine synthesis affects protein synthesis and methylation. These changes, which affect gene expression, may ultimately promote the development of breast cancer. We therefore hypothesized that such mutations could also play an important role in the occurrence and pathogenesis of breast cancer in a Malian population. In this study, we used the PCR-RFLP technique to identify the different genotypic profiles of the C677T MTHFR polymorphism in 127 breast cancer women and 160 healthy controls. The genotypic distribution of the C677T polymorphism in breast cancer cases was 88.2% for CC, 11.0% for CT, and 0.8% for TT. Healthy controls showed a similar distribution with 90.6% for CC, 8.8% for CT, and 0.6% for TT. We found no statistical association between the C677T polymorphism and breast cancer risk for the codominant models CT and TT (p > 0.05). The same trend was observed when the analysis was extended to other genetic models, including dominant (p = 0.50), recessive (p = 0.87), and additive (p = 0.50) models. The C677T polymorphism of MTHFR gene did not influence the risk of breast cancer in the Malian samples.

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在马里,C677T 亚甲基四氢叶酸还原酶多态性与乳腺癌风险缺乏关联。
亚甲基四氢叶酸还原酶(MTHFR)在叶酸和同型半胱氨酸的代谢过程中发挥着重要作用,而叶酸和同型半胱氨酸又会影响基因表达,最终促进乳腺癌的发生。因此,MTHFR 基因突变会影响同型半胱氨酸、蛋氨酸和 S-腺苷蛋氨酸的水平,并间接影响核苷酸的水平。蛋氨酸和 S-腺苷蛋氨酸合成失衡会影响蛋白质合成和甲基化。这些变化会影响基因表达,最终可能促进乳腺癌的发生。因此,我们假设这种突变也可能在马里人群中乳腺癌的发生和致病过程中扮演重要角色。在这项研究中,我们使用 PCR-RFLP 技术鉴定了 127 名乳腺癌妇女和 160 名健康对照者中 C677T MTHFR 多态性的不同基因型。乳腺癌病例中 C677T 多态性的基因型分布为:CC 占 88.2%,CT 占 11.0%,TT 占 0.8%。健康对照组的分布情况类似,CC 占 90.6%,CT 占 8.8%,TT 占 0.6%。我们发现,在共显模式 CT 和 TT 中,C677T 多态性与乳腺癌风险之间没有统计学关联(P > 0.05)。当分析扩展到其他遗传模型,包括显性模型(p = 0.50)、隐性模型(p = 0.87)和加性模型(p = 0.50)时,也观察到同样的趋势。在马里样本中,MTHFR 基因的 C677T 多态性对乳腺癌风险没有影响。
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来源期刊
Genetics research
Genetics research 生物-遗传学
自引率
6.70%
发文量
74
审稿时长
>12 weeks
期刊介绍: Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.
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