CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Structural basis for T cell recognition of cancer neoantigens and implications for predicting neoepitope immunogenicity.
Structural basis for T cell recognition of cancer neoantigens and implications for predicting neoepitope immunogenicity.
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过继性细胞治疗(ACT)使用肿瘤特异性T细胞已被证明可介导持久的癌症消退。肿瘤特异性T细胞也是其他疗法的基础,尤其是癌症疫苗。肿瘤特异性T细胞的主要靶标是来源于恶性转化过程中自身抗原突变的新抗原。新抗原的检测对T细胞构成重大挑战,因为它们与自身抗原高度结构相似,且需要避免自身免疫。新抗原必须与其野生型亲本有多大差异才能诱导T细胞反应,目前了解甚少。
在此,我们综述了近期关于T细胞受体(TCR)识别来源于癌基因的共享癌症新抗原的结构和生物物理学研究,包括p53 R175H、KRAS G12D、KRAS G12V、HHAT p8F和PIK3CA H1047L。这些研究揭示,在某些情况下,致癌突变通过增强肽-MHC结合来改善抗原呈递。在其他情况下,突变通过与TCR的直接相互作用被检测到,或通过能量驱动或其他不要求TCR与突变直接接触的间接策略被检测到。
我们还综述了设计用于识别细胞表面肽-MHC的抗体(TCR模拟抗体)作为靶向癌症新抗原的TCR替代方案。最后,我们综述了该领域近期的计算进展,包括预测新表位免疫原性的努力,以及肽-MHC结合和TCR识别肽-MHC的结构信息如何可能推进这些努力。
Adoptive cell therapy (ACT) with tumor-specific T cells has been shown to mediate durable cancer regression. Tumor-specific T cells are also the basis of other therapies, notably cancer vaccines. The main target of tumor-specific T cells are neoantigens resulting from mutations in self-antigens over the course of malignant transformation.
The detection of neoantigens presents a major challenge to T cells because of their high structural similarity to self-antigens, and the need to avoid autoimmunity. How different a neoantigen must be from its wild-type parent for it to induce a T cell response is poorly understood.
Here we review recent structural and biophysical studies of T cell receptor (TCR) recognition of shared cancer neoantigens derived from oncogenes, including p53 R175H , KRAS G12D , KRAS G12V , HHAT p8F , and PIK3CA H1047L . These studies have revealed that, in some cases, the oncogenic mutation improves antigen presentation by strengthening peptide-MHC binding. In other cases, the mutation is detected by direct interactions with TCR, or by energetically driven or other indirect strategies not requiring direct TCR contacts with the mutation.
We also review antibodies designed to recognize peptide-MHC on cell surfaces (TCR-mimic antibodies) as an alternative to TCRs for targeting cancer neoantigens.
Finally, we review recent computational advances in this area, including efforts to predict neoepitope immunogenicity and how these efforts may be advanced by structural information on peptide-MHC binding and peptide-MHC recognition by TCRs.
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