野生型的结构变化定义了肿瘤排斥的新抗原。

IF 10.6 1区 医学 Q1 IMMUNOLOGY
Anngela C Adams, Anne M Macy, Elizabeth S Borden, Lauren M Herrmann, Chad A Brambley, Sandip Ashok Sonar, Tao Ma, Xing Li, Alysia Hughes, Denise J Roe, Aaron R Mangold, Janko Z Nikolich, Kenneth H Buetow, Melissa A Wilson, Brian M Baker, Karen Taraszka Hastings
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引用次数: 0

摘要

背景:预测哪些新抗原介导肿瘤排斥反应的挑战限制了新抗原疫苗治疗癌症的疗效,特别是对于具有高突变负担的癌症,如皮肤鳞状细胞癌(cSCC)。目前的方法中,只有一小部分新抗原会引起有效的T细胞反应,这表明迫切需要改进预测肿瘤排斥新抗原的标准。方法:使用公开可用的人类cSCC数据集来评估患者之间共享突变的频率。建立了可移植的紫外光诱导小鼠cSCC模型。将小鼠模型中的突变特征和驱动突变与人类肿瘤进行比较。在小鼠模型中优先筛选新抗原,并通过酶联免疫吸附斑点(ELISpot)和体内预防性疫苗接种鉴定出肿瘤排斥新抗原。确定新抗原和相应的野生型肽与主要组织相容性复合体(MHC) I类的结合。肽的结构建模:进行MHC复合物以评估相对于野生型肽的新抗原结构特征的变化。结果:少数人cSCC肿瘤具有共同的新抗原。小鼠cSCC模型再现了在人类疾病中发现的突变特征和驱动突变,并受到CD8 T细胞的限制。在抑制cSCC生长的小鼠模型中发现了两种MHC I类新抗原。与野生型相比,一种肿瘤排斥新抗原表现出更好的MHC结合,另一种突变残基的溶剂可及性增加。在已知的不影响MHC结合的新抗原中,增加突变残基暴露可区分肿瘤排斥和非免疫原性新抗原。结论:鉴于共享突变的缺乏,这项工作支持了cSCC个体化新抗原疫苗的需求。为了促进进一步的发现,我们提供了一个具有临床相关性的小鼠cSCC模型,该模型含有两种介导肿瘤排斥反应的新抗原。结构变化暴露的特征,促进T细胞受体识别定义肿瘤排斥新抗原。结合结构建模来预测T细胞受体可及性的变化,有望改善个性化癌症疫苗中包含的新抗原的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural changes from wild-type define tumor-rejecting neoantigens.

Background: Challenges in predicting which neoantigens mediate tumor rejection limit the efficacy of neoantigen vaccines to treat cancers, especially for cancers with a high mutational burden like cutaneous squamous cell carcinoma (cSCC). Only a small portion of neoantigens prioritized by current methods elicit effective T cell responses, demonstrating the critical need for improved criteria for the prediction of tumor-rejecting neoantigens.

Methods: Publicly available human cSCC datasets were used to assess the frequency of shared mutations between patients. A transplantable ultraviolet light-induced mouse model of cSCC was generated. The mutational signature and driver mutations in the mouse model were compared with human tumors. Neoantigens were prioritized in the mouse model, and tumor-rejecting neoantigens were identified through (enzyme-linked immunosorbent spot (ELISpot) and in vivo prophylactic vaccination. Binding of the neoantigens and corresponding wild-type peptides to major histocompatibility complex (MHC) class I was determined. Structural modeling of peptide:MHC complexes was performed to assess for changes in structural characteristics of the neoantigens relative to the wild-type peptides.

Results: A minority of human cSCC tumors shared neoantigens. The mouse cSCC model recapitulated the mutational signature and driver mutations found in human disease and was constrained by CD8 T cells. Two MHC class I neoantigens were identified in the mouse model that constrained cSCC growth. One tumor-rejecting neoantigen exhibited improved MHC binding, and the other had increased solvent accessibility of the mutated residue, compared with wild-type. Across known neoantigens that do not impact MHC binding, increased exposure of the mutated residue distinguished tumor-rejecting from non-immunogenic neoantigens.

Conclusions: Given the paucity of shared mutations, this work supports the need for personalized neoantigen vaccines in cSCC. To facilitate further discovery, we provide a clinically relevant mouse cSCC model with two defined neoantigens that mediate tumor rejection. Structural changes in the exposure of features that promote T cell receptor recognition defined tumor-rejecting neoantigens. Incorporation of structural modeling to predict changes in T cell receptor accessibility is anticipated to improve the selection of neoantigens for inclusion in personalized cancer vaccines.

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来源期刊
Journal for Immunotherapy of Cancer
Journal for Immunotherapy of Cancer Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
17.70
自引率
4.60%
发文量
522
审稿时长
18 weeks
期刊介绍: The Journal for ImmunoTherapy of Cancer (JITC) is a peer-reviewed publication that promotes scientific exchange and deepens knowledge in the constantly evolving fields of tumor immunology and cancer immunotherapy. With an open access format, JITC encourages widespread access to its findings. The journal covers a wide range of topics, spanning from basic science to translational and clinical research. Key areas of interest include tumor-host interactions, the intricate tumor microenvironment, animal models, the identification of predictive and prognostic immune biomarkers, groundbreaking pharmaceutical and cellular therapies, innovative vaccines, combination immune-based treatments, and the study of immune-related toxicity.
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