Publication Type : Conference Proceedings
Publisher : Atlantis Press International BV
Source : Advances in Computer Science Research
Url : https://doi.org/10.2991/978-94-6463-136-4_38
Campus : Bengaluru
School : School of Computing
Year : 2023
Abstract : Breast cancer has become the most frequently occurring cancer that has put the lives of women at risk globally. Breast cancer is mostly caused by environmental causes such as genetic mutations, lifestyle etc. Cancerous cells may have alterations in the DNA sequence. HER2 (Human Epidermal Growth Factor Receptor 2) gene mutations are found in 20–30% of breast cancer cases. This gene is a proto-oncogene having tyrosine kinase activity, which makes proteins that are responsible for healthy growth and division of cells. Mutation in this particular gene produces multiple copies of a protein that makes the breast cell grow uncontrollably. Identifying such mutations is a challenging task. The most accurate methods of DNA analysis and finding are frequently found with the many sorts of procedures or methodologies employed for analysis. This research study will discuss how early detection and diagnosis of breast cancer helps when mortality is taken into account. Patients should undergo focused therapy, which will boost their chances of recovery. The paper aims to identify the mutation caused by the HER2 gene and extract the position of the mutation in the gene. For better results, protein sequence analysis is done and the position of mutation in the protein sequence is identified. This can be beneficial to give targeted treatments and to diminish the recurrence of breast cancer in a patient.
Cite this Research Publication : S. G. Shaila, Vijayalaxmi Inamdar, Ganapati Bhat, K. Hithyshi, Arya Suresh, Early Detection of Breast Cancer Based on HER-2 DNA Genomic Sequence, Advances in Computer Science Research, Atlantis Press International BV, 2023, https://doi.org/10.2991/978-94-6463-136-4_38