加快新抗原发现:一种高通量方法来识别免疫性标
Lena Pfitzer1, Gitta Boons1, Lien Lybaert1
1myNEO Therapeutics, 9000 Ghent, Belgium.
Vaccines
|August 28, 2025
概括
一种名为neoIM (新抗原免疫性) 的新工具可以准确预测T细胞对新抗原的反应,从而改善癌症免疫治疗点的选择. 这种方法超过了MHC结合亲和力预测,提高了临床试验抗原发现和免疫疗法的有效性.
科学领域:
- 计算免疫学
- 癌症免疫疗法
- 生物信息学
背景情况:
- 针对抗原的免疫疗法依赖于识别T细胞反应的免疫性表位.
- 目前以MHC结合亲和度为重点的方法产生高假阳性,限制了临床效用.
- 准确预测新抗原免疫性对于有效的癌症疫苗和治疗设计至关重要.
研究的目的:
- 开发一种新的计算工具,即新IM,用于高精度预测新抗原免疫性.
- 通过实验室和临床试验数据对新IM的性能进行评估.
- 评估neoIM作为预测检查点抑制剂治疗反应的生物标志物的潜力.
主要方法:
- 在MHC呈现的非自我上训练的随机森林分类器neoIM (n=61,829).
- 与现有工具在体外免疫性数据集 (ELISpot测试) 上评估新IM性能.
- 进行了临床试验数据的回顾性分析,以评估基于新IM的抗原选择及其与接受检查点抑制剂 (CPI) 治疗的黑色素瘤患者的整体存活率的相关性.
主要成果:
- neoIM在体外基准测试中显著优于现有工具,至少提高了30%的预测能力,并减少了虚假阳性.
- 在两个临床试验中,基于NeoIM的抗原选择确定了每位患者的临床可操作抗原多达50%.
- 在接受CPI治疗的黑色素瘤患者中,NeoIM得分与整体存活率存在相关性,这表明它作为预测生物标志物的潜力.
结论:
- NeoIM是第一个精确预测MHC结合性以外的表位免疫性计算工具.
- NeoIM能够更精确地发现新抗原和确定优先级,有可能加速下一代免疫疗法的开发.
- 该工具能够完善对检查点抑制治疗的反应预测,这凸显了评估新抗原免疫性的重要性.
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