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
{"title":"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。","authors":"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","doi":"10.1155/2023/4683831","DOIUrl":null,"url":null,"abstract":"<p><p>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 <i>MTHFR</i> 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 <i>C677T MTHFR</i> polymorphism in 127 breast cancer women and 160 healthy controls. The genotypic distribution of the <i>C677T</i> 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 <i>C677T</i> polymorphism and breast cancer risk for the codominant models CT and TT (<i>p</i> > 0.05). The same trend was observed when the analysis was extended to other genetic models, including dominant (<i>p</i> = 0.50), recessive (<i>p</i> = 0.87), and additive (<i>p</i> = 0.50) models. The <i>C677T</i> polymorphism of <i>MTHFR</i> gene did not influence the risk of breast cancer in the Malian samples.</p>","PeriodicalId":12778,"journal":{"name":"Genetics research","volume":"2023 ","pages":"4683831"},"PeriodicalIF":1.4000,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873441/pdf/","citationCount":"0","resultStr":"{\"title\":\"Lack of Association of <i>C677T</i> Methylenetetrahydrofolate Reductase Polymorphism with Breast Cancer Risk in Mali.\",\"authors\":\"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\",\"doi\":\"10.1155/2023/4683831\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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 <i>MTHFR</i> 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 <i>C677T MTHFR</i> polymorphism in 127 breast cancer women and 160 healthy controls. The genotypic distribution of the <i>C677T</i> 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 <i>C677T</i> polymorphism and breast cancer risk for the codominant models CT and TT (<i>p</i> > 0.05). The same trend was observed when the analysis was extended to other genetic models, including dominant (<i>p</i> = 0.50), recessive (<i>p</i> = 0.87), and additive (<i>p</i> = 0.50) models. The <i>C677T</i> polymorphism of <i>MTHFR</i> gene did not influence the risk of breast cancer in the Malian samples.</p>\",\"PeriodicalId\":12778,\"journal\":{\"name\":\"Genetics research\",\"volume\":\"2023 \",\"pages\":\"4683831\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2023-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873441/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genetics research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1155/2023/4683831\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetics research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1155/2023/4683831","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Lack of Association of C677T Methylenetetrahydrofolate Reductase Polymorphism with Breast Cancer Risk in Mali.
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.
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.