Rational Design of Cancer Drug Combinations
Research Article
Open Access
CC BY

Rational Design of Cancer Drug Combinations

Jiaxu Liu 1*
1 Asheville School, 360 Asheville School Rd, Asheville, NC 28806, USA
*Corresponding author: liuaiden623@outlook.com
Published on 20 July 2025
Volume Cover
TNS Vol.126
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-80590-265-2
ISBN (Online): 978-1-80590-266-9
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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.

Keywords:

cancer therapy, drug combinations, apoptosis, metabolism, immunotherapy

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Liu,J. (2025). Rational Design of Cancer Drug Combinations. Theoretical and Natural Science,126,16-20.

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Cite this article

Liu,J. (2025). Rational Design of Cancer Drug Combinations. Theoretical and Natural Science,126,16-20.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICBioMed 2025 Symposium: AI for Healthcare: Advanced Medical Data Analytics and Smart Rehabilitation

ISBN: 978-1-80590-265-2(Print) / 978-1-80590-266-9(Online)
Editor: Alan Wang
Conference date: 17 October 2025
Series: Theoretical and Natural Science
Volume number: Vol.126
ISSN: 2753-8818(Print) / 2753-8826(Online)