一个功能性识别平台揭示了癌症患者中频繁,自发的新抗原特异性T细胞反应
Aaron M Miller1,2, Zeynep Koşaloğlu-Yalçın3, Luise Westernberg3
1Center for Cancer Immunotherapy, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA.
Science translational medicine
|February 28, 2024
概括
一个新的平台使用生物信息分析和功能测试有效地识别和验证瘤新抗原. 这种方法在各种癌症中发现新抗原特异性T细胞,有助于免疫治疗的开发.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 生物信息学是一种生物信息学.
背景情况:
- 鉴定瘤特异性新抗原对于癌症免疫疗法至关重要,但目前的方法具有挑战性.
- 现有的技术难以从常规临床样本有效地识别和验证新抗原.
研究的目的:
- 开发和验证一种用于同时识别和验证新抗原的新型平台.
- 评估 CD4+ 和 CD8+ T 细胞响应识别的新抗原在不同类型的癌症中.
主要方法:
- 结合了瘤外体和转录数据的生物信息分析,并对自身外周血液单核细胞 (PBMC) 的功能测试.
- 使用人类白细胞抗原 (HLA) - 无学算法来优先考虑患者PBMCs识别的突变.
- 采用短期体外功能测定来检查血液样本中的表达突变.
主要成果:
- 该平台成功识别和验证了新抗原,包括驾驶员和乘客突变.
- 它检测到新抗原错过了in silico预测方法.
- 在各种人类癌症中证明了多种新抗原特异性T细胞的存在.
结论:
- 该平台提供了一种有效的方法,用于系统地验证临床可操作的新抗原及其T细胞受体.
- 这些发现支持新抗原基础免疫疗法在广泛的癌症中发挥潜力.
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