骨肉瘤
重编程
表观遗传学
肿瘤微环境
生物
计算生物学
生物信息学
免疫系统
神经科学
癌症研究
基因
免疫学
遗传学
作者
Chao Zhang,Jilong Yang
标识
DOI:10.1080/14728222.2025.2545836
摘要
We highlight three key shifts in understanding osteosarcoma biology: 'target plasticity' driven by evolving tumor dynamics, the importance of mechanical signaling at the tumor-bone interface, and the potential of multi-omics platforms for real-time monitoring and personalized treatment. We propose a new therapeutic framework that integrates these advances to overcome resistance mechanisms. By focusing on epigenetic reprogramming, immune resetting, and mechanopharmacological approaches, we envision a more comprehensive strategy for osteosarcoma treatment that goes beyond traditional single-target therapies. The success of these strategies will depend on integrating spatially informed, time-resolved treatment regimens, guided by advanced molecular and computational technologies.
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