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ImmunoNX:一个强大的生物信息工作流来支持个性化的新抗原疫苗试验

Kartik Singhal¹, Evelyn Schmidt¹, Susanna Kiwala¹

¹Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.

|December 19, 2025

概括

我们介绍ImmunoNX,这是个性化新抗原疫苗设计的端到端协议. 这种工作流简化了从数据测序到候选人选择的过程,支持临床试验和各种新抗原疗法.

科学领域:

免疫基因组学是什么
计算生物学计算生物学
癌症免疫疗法癌症免疫疗法

背景情况:

个性化新抗原疫苗通过向瘤特异性抗原,显示出癌症免疫疗法的前景.
通过计算来设计这些疫苗需要强大的工作流程来预测新抗原和质量控制.
现有的工具缺乏从原始测序数据到候选人选择的全面协议.

研究的目的:

引入ImmunoNX (免疫基因组学新抗原探索器),这是一个用于新抗原预测和疫苗设计的端到端协议.
为研究界提供可复制和版本控制的框架.
支持针对临床试验的个性化新抗原疫苗的开发.

主要方法:

在谷歌云平台上使用WDL和Cromwell集成瘤DNA/RNA和匹配正常DNA测序数据.
利用共识变体调用,in-silico HLA类型和pVAC工具进行新抗原预测.
实施了两阶段的免疫基因组学审查过程,使用pVACview和IGV来优先考虑候选人.

主要成果:

在11个临床试验中,ImmunoNX协议成功支持了超过185名患者.
在HCC1395乳腺癌细胞系上表现出有效性,从322个预测中识别出78个高可信度新抗原.
能够在不到三个月的时间内完成疫苗设计.

结论:

ImmunoNX为个性化的新抗原疫苗设计提供了一个全面的,可复制和版本控制的框架.
工作流可以适应各种新抗原疗法和研究应用.
该协议促进从测序数据中有效和系统地选择新抗原候选物.

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