免疫疗法
癌症免疫疗法
计算生物学
医学
精密医学
免疫系统
佐剂
癌症疫苗
免疫检查点
转化研究
免疫学
疾病
癌症研究
生物信息学
基因组学
抗原
人类白细胞抗原
癌症
个性化医疗
T细胞
临床试验
微小残留病
黑色素瘤
接种疫苗
生物
优先次序
获得性免疫系统
基因组编辑
信使核糖核酸
清脆的
计算机科学
RNA干扰
模块化设计
CTLA-4号机组
作者
X. Li,Parham Jabbarzadeh Kaboli,Ghazaal Roozitalab,Shanli Salahi,Hongbo Qian,Xinyi Zhang,Keda Chen,Saber İmani
标识
DOI:10.1007/s13402-026-01199-1
摘要
Neoantigen mRNA vaccines have progressed from experimental constructs to clinically evaluated immunotherapies grounded in tumor genomics and modular RNA engineering. By encoding tumor-restricted antigens, these platforms aim to induce targeted T-cell responses while minimizing off-target toxicity. Early clinical studies, particularly in melanoma and non-small cell lung cancer, demonstrate that personalized and hybrid vaccine strategies can expand tumor-reactive T-cell clones and improve recurrence-free outcomes when combined with immune checkpoint blockade. However, challenges including manufacturing timelines, HLA diversity, tumor heterogeneity, and immune editing limit broad implementation. Recent advances in antigen prioritization algorithms, transcript design, and delivery platforms have improved translational feasibility and reduced production variability. Shared and off-the-shelf approaches targeting recurrent driver mutations offer scalable alternatives, while adaptive strategies incorporating ctDNA monitoring raise the possibility of dynamic vaccine updating during treatment. Integration with immune-modulating therapies and rational clinical positioning, particularly in adjuvant and minimal residual disease settings, are likely to define near-term success. Collectively, neoantigen mRNA vaccination represents a flexible therapeutic framework rather than a single platform. Its long-term impact will depend on aligning molecular engineering, immune calibration, manufacturing scalability, and regulatory adaptation to achieve durable clinical.
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