Ghania Qindeel*, Quratulain, Nubla Batool and Sheraz Akmal

Government College University, Lahore, Pakistan

*Corresponding Author: Ghania Qindeel, Government College University, Lahore, Pakistan.

Received: August 17, 2023; Published: September 06, 2023

Abstract

The BRCA1 and BRCA2 genes have been linked to a higher risk of breast cancer throughout a person's lifespan. BRCA1/2 mutations in breast cancer have yet to be thoroughly characterized in terms of the genes that are closely linked to those alterations. This project seeks to discover gene expression interaction and patterns networks affected by BRCA1/2 mutations, to represent underlying disease processes and provide novel biomarkers for breast cancer diagnosis or prognosis. The advancement of molecular genetics in recent years has improved our understanding of the concepts of breast cancer development. This study is accomplished to understand genomic variations and for sequence analysis. Freely accessible online tools such as pfam, GSDS (gene structure display server), SMART, STRING 9.1, PTMcode 2,PDB, MEME motif, CLUSTAL W, Serial Cloner and Mega X were used to perform sequence and mutational analysis. The Cancer Genome Atlas (TCGA), gene expression profiles were obtained and integrated with the cBioPortal website to identify specific breast cancer patients with BRCA1/2 mutations, according to the study. Using gene set enrichment analysis (GSEA), certain enriched pathways and biochemical characteristics linked with BRCA mutations were identified and characterized. Three separate differentially expressed genes (DEGs) analyses were done for BRCA1/2-mutant breast cancer, wild-type breast cancer, and the matching normal tissues to validate putative hub genes with each other. Key genes linked with BRCA1/2 mutations were identified using protein-protein interaction networks (PPI), survival analysis, and diagnostic value evaluation. Taken together, our findings shed light on specific mutations and proteins implicated in the interaction network of BRCA1 and BRCA2, which may play similar roles in breast cancer. However, the complicated process behind these results has yet to be fully explained, and further research is needed in the future.

 Keywords: Mutations; BRCA; Biomarkers; Bioinformatics

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Citation

Citation: Ghania Qindeel., et al. “BRCA1/2-mutant Breast Cancer: Genome-Wide Comparative Analysis, Differentially Expressed Genes and Key Molecules Analyze by Evidence from Bioinformatics Analyses" Acta Scientific Cancer Biology 7.8 (2023): 08-21.

Copyright

Copyright: © 2023 Ghania Qindeel., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.