医学
肿瘤微环境
胰腺癌
表观遗传学
免疫疗法
抗药性
癌症
个性化医疗
癌症研究
药理学
生物信息学
内科学
生物
生物化学
微生物学
基因
作者
Belén Toledo,Chiara Deiana,Fabio Scianò,Giovanni Brandi,Juan Antonio Marchal,Macarena Perán,Elisa Giovannetti
标识
DOI:10.1080/17512433.2024.2319340
摘要
So far there is no unified theory on drug resistance and progress is limited. To overcome this issue, individualized patient approaches, possibly through liquid biopsies or single-cell transcriptome studies, are suggested, along with the potential use of artificial intelligence, to guide effective treatment strategies. Furthermore, we provide insights into what we consider the most promising areas of research, and we speculate on the future of managing treatment resistance to improve patient outcomes.
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