免疫疗法
医学
生物标志物发现
生物标志物
免疫系统
危险分层
仿形(计算机编程)
精密医学
靶向治疗
计算生物学
重症监护医学
逃避(道德)
临床试验
生物信息学
PD-L1
免疫学
CTLA-4号机组
个性化医疗
放射治疗
嵌合抗原受体
作者
Swetha Pulakuntla,Gouthami Kuruvalli,Mrinalini Chandra Mohan,Nagajyothi PC,Jaesool Shim,Venkata Reddy
标识
DOI:10.1080/08830185.2026.2614779
摘要
Despite encouraging clinical outcomes, significant challenges persist, including immune evasion mechanisms, limited response rates, treatment resistance, and the complexity of the immunosuppressive tumor microenvironment. Addressing these obstacles requires integrating genomic insights, artificial intelligence-driven biomarker discovery, and rational combinatorial strategies that pair ICIs with targeted agents, chemotherapy, or radiotherapy to enhance immune activation. Future directions emphasize the development of precision immunotherapy guided by molecular profiling and predictive biomarkers to improve patient stratification and treatment efficacy. This review consolidates current progress, identifies key limitations, and outlines emerging avenues to optimize the future landscape of HCC immunotherapy.
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