Differential Gene Expression in Progression of Breast Cancer using Bioinformatics Approach

Abstract

Breast cancer is the most well-known malignancy among women. Cancer is spread by cells in the human body. This is caused by certain DNA and RNA sequence protein data. In RNA, a gene is similar to a protein chain. We're just looking at the RNA sequences of breast cancer patients in this study, and we're attempting to figure out which genes are active at each stage of the disease. Differentially expressed genes have been identified using differential gene expression analysis. AL158154.2, F10, ELOVL6, PPEF1, IGFBP6, PAX1, AC011893.1, TMED6, AC090877.2, FAM163A, HBG2, ITLN1, HBA2, ALAS2, IL17REL genes have been downregulated and AL158154.2, F10, ELOVL6, PPEF1, IGFBP6, PAX1, AC011893.1, TMED6, AC090877.2, FAM163A, HBG2, ITLN1, HBA2, ALAS2, IL17REL genes have been upregulated. Then we tried to explain the biological and molecular roles that led to the discovery of differentially expressed genes. The main concern of this study, trying to identify novel genes in each breast cancer stage which are responsible for this stage.