Year: 2025
Type: article
Abstract: Cancer, despite decades of focused research and treatment development, still stands as one of the most stubborn threats to human health. Common treatments such as surgery, radiation, chemotherapy are effective, but they often fall short. Side effects can be severe, and results vary from patient to patient. More recent strategies, like immunotherapy or targeted drugs, seem promising but don't work across the board. What this paper tries to do is look at an alternative—combining drugs in a way that zeroes in on how cancer cells work differently from normal ones. Tumors grow in ways they shouldn't,mess with metabolism, resist cell death, and even fool the immune system. That opens the door to some overlooked treatments—things that change how cancer cells make energy, or that ramp up oxidative stress. It even includes tools like DNA origami, which sounds strange but lets drugs be delivered more precisely. The point isn’tto find one cure, but to build smarter combinations that match the disease’s complexity and do less harm in the process.
Source: Theoretical and Natural Science
Author: Jiaxu Liu
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4412495027