Early Detection of Breast Cancer Based on HER-2 DNA Genomic Sequence

DOI

10.2991/978-94-6463-136-4_38How to use a DOI?

Keywords

Breast Cancer; DNA Sequence; Gene; HER2; Classification

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.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - S. G. Shaila
AU  - Vijayalaxmi Inamdar
AU  - Ganapati Bhat
AU  - K. Hithyshi
AU  - Arya Suresh
PY  - 2023
DA  - 2023/05/01
TI  - Early Detection of Breast Cancer Based on HER-2 DNA Genomic Sequence
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 448
EP  - 455
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_38
DO  - 10.2991/978-94-6463-136-4_38
ID  - Shaila2023
ER  -