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1.
Cell Mol Biol (Noisy-le-grand) ; 68(12): 79-83, 2022 Dec 31.
Article in English | MEDLINE | ID: mdl-37130176

ABSTRACT

The major roles of vitamin D in the genesis of breast cancer and as an immunomodulator against acute and chronic infections have been the subject of much research in recent years. A low vitamin D status could decrease the function of blocking the cell multiplication cycle of the cancer process and weaken the immune system. In this context, we were interested in the implication of vitamin D status in women with human papilloma virus (HPV)-induced breast cancer. Our study included 63 women, 53 with breast cancer and 10 healthy women, and we measured the plasma 25(OH)D3 level and looked for the presence of HPV by PCR in our population. 90.6% had low serum 25(OH)D3 levels and HPV was found in 41% of cases. In this regard, the data in the literature are discordant. Vitamin D status could explain the concomitance of the two conditions, breast cancer and HPV; it would be desirable to broaden the sample in order to better define its impact.


Subject(s)
Breast Neoplasms , Papillomavirus Infections , Vitamin D Deficiency , Humans , Female , Vitamin D , Human Papillomavirus Viruses , Papillomavirus Infections/complications , Vitamins
2.
Mol Biol Rep ; 48(11): 7147-7152, 2021 Nov.
Article in English | MEDLINE | ID: mdl-34591267

ABSTRACT

BACKGROUND: The promoter region is a key element of gene expression regulation. In mammals, most of the genes present, at the level of their promoter, a large number of islands CpG. Age also is seen as another factor for developing breast cell cancer reaching the tumour stage. AIM: This study aimed to explore the hypermethylation of the BRCA1/2 promoter gene in women breast cancer and correlation with age and tumour stage. MATERIALS AND METHODS: Fifty biopsies were derived from Moroccan women treated for breast carcinoma, the DNA extracted was treated by bisulphite and the targeted BRCA1/2 Amplicons were amplified by specific methylation primers (MSP). RESULTS: The result shows that 62% of the samples were BRCA1 methylated in addition and negative result for BRCA2, these positive epigenetic factor were remarkable in women over 47 years and at the stage of malignant tumour. CONCLUSION: These results show that half of the methylated samples are positive with a majority of over 47 years old, and confirms that age might be an additional factor for breast cancer development.


Subject(s)
BRCA1 Protein/metabolism , BRCA2 Protein/metabolism , Breast Neoplasms/metabolism , DNA Methylation , DNA, Neoplasm/metabolism , Epigenesis, Genetic , Gene Expression Regulation, Neoplastic , Promoter Regions, Genetic , Adult , Aged , BRCA1 Protein/genetics , BRCA2 Protein/genetics , Breast Neoplasms/genetics , DNA, Neoplasm/genetics , Female , Humans , Middle Aged , Morocco
3.
Gene ; 651: 166-173, 2018 Apr 20.
Article in English | MEDLINE | ID: mdl-29408272

ABSTRACT

The epigenetics methylation of cytosine is the most common epigenetic form in DNA sequences. It is highly concentrated in the promoter regions of the genes, leading to an inactivation of tumor suppressors regardless of their initial function. In this work, we aim to identify the highly methylated regions; the cytosine-phosphate-guanine (CpG) island located on the promoters and/or the first exon gene known for their key roles in the cell cycle, hence the need to study gene-gene interactions. The Frommer and hidden Markov model algorithms are used as computational methods to identify CpG islands with specificity and sensitivity up to 76% and 80%, respectively. The results obtained show, on the one hand, that the genes studied are suspected of developing hypermethylation in the promoter region of the gene involved in the case of a cancer. We then showed that the relative richness in CG results from a high level of methylation. On the other hand, we observe that the gene-gene interaction exhibits co-expression between the chosen genes. This let us to conclude that the hidden Markov model algorithm predicts more specific and valuable information about the hypermethylation in gene as a preventive and diagnostics tools for the personalized medicine; as that the tumor-suppresser-genes have relative co-expression and complementary relations which the hypermethylation affect in the samples studied in our work.


Subject(s)
Computational Biology/methods , CpG Islands , DNA Methylation , Genes, Tumor Suppressor , Promoter Regions, Genetic , Algorithms , DNA, Neoplasm , Datasets as Topic , Epistasis, Genetic , Humans , Markov Chains , Models, Genetic , Neoplasms/genetics
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