https://doi.org/10.1051/epjconf/202532501011
The significant role of biophysics in cancer prevention: An overview
1 Department of Basic Sciences & Humanities, Institute of Engineering & Management, Sector-V, Salt Lake, Kolkata - 700091, India
2 University of Engineering and Management, University Area, Plot no. III, B/5, New Town Road, Action Area III, 700160, Kolkata, Newtown, India
* Corresponding author email: pratap.mukherjee@iem.edu.in
Published online: 5 May 2025
Cancer is a dynamic, multifaceted illness caused by the abnormal growth of cells. The affected cells developed uncontrollably and destroyed various tissues. This deadly disease has become an important health issue worldwide. Current research on the biology and physics of cancer cells is a promising area with high concerns. It helps to improve the understanding of the cellular and molecular factors of cancer treatment. Studies on the biology of cancer cells have provided different types of knowledge on cancer initiation and spread of cancer cells. It also provided advanced treatment of cancer prevention. Learning the physics behind cancer cells provided comprehensive knowledge of cancer cell proliferation and the mechanical properties of tumor tissues. Understanding the biophysics of cancer cells helps to know the mutation of cell structure, dynamics, and interactions of proteins involved in signal transduction pathways. The unwanted growth of tumor cells can also be better understood by using biophysics. Integration of cancer biology and physics plays a critical role in determining the proper treatment of cancer. This review highlighted different advanced technologies and mathematical modeling used to prevent cancer cells. It also discusses about the biophysics of advanced nanotechnology and silicon nanoprobes used for cancer treatment.
Key words: Metastatic carcinoma / Tumor biophysics / Growth factor / Biosensor / Nanomedicine
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
