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International Journal Of Medical, Pharmacy And Drug Research(IJMPD)

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  3. Vol-9,Issue-1, January - March 2025
  4. In Silico Analysis of the Promoter Regions and Regulatory Elements of DVL2, AXIN1, TCF7 & GSK3B in Triple Negative Breast Cancer

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In Silico Analysis of the Promoter Regions and Regulatory Elements of DVL2, AXIN1, TCF7 & GSK3B in Triple Negative Breast Cancer

G. Deepthi Reddy , V. Brahmaiah , B. Y. Kavitha , G. Deepika


International Journal of Medical, Pharmacy and Drug Research(IJMPD), Vol-9,Issue-1, January - March 2025, Pages 7-15 , 10.22161/ijmpd.9.1.2

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Article Info: Received: 29 Jan 2025; Received in revised form: 01 Mar 2025; Accepted: 10 Mar 2025; Available online: 13 Mar 2025

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Breast cancers are the leading cause of deaths in women worldwide. Breast cancer majorly occurs in female while some male, about 1% are also affected with this disease. Breast cancers are categorized into four major sub-groups based on the expression of the receptors i.e., Estrogen receptor(ER), Progesterone receptor(PR), and Human epidermal growth factor receptor(HER2) on their cell surface. Among all the sub-groups Triple Negative Breast Cancers are the most aggressive sub-type occurring in premenopausal young women usually below 40years of age. This study is focused on in silico analysis to understand the expression of the genes, it is important to understand the promoter region which plays a key role and to understand the contribution of theses genes in TNBC and the important promoter motifs. The significant promoter motifs that control the transcription of these genes are enumerated below. Studying Single Nucleotide Polymorphisms (SNPs) is critical in genetics for various reasons. SNPs are the most common type of genetic variants in human genome, where a single nucleotide base is altered in the DNA sequence. These variations can have significant impact on the human health, disease susceptibility, drug responses, and evolutionary biology. SNPs or single nucleotide polymorphisms are the changes in the DNA sequences that can have an important role in causing the disease. The SNPs are found in the promoter regions using the tool PredictSNP, and few of them thus found were deleterious. The gene variants plays important role in cancer tumorigenesis, so in this study we have screened promoter regions by using in silico tools to identify SNPs.

Triple Negative Breast Cancer, Single Nucleotide Polymorphisms, DVL2, AXIN1, TCF7, GSK3B.

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