Abstract B022: Properties of T-cell-recognized neoantigens

P. Kvistborg, Marit M. van Buuren, Daisy Philips, N. Rooij, A. Velds, S. Behjati, M. Braber, M. Toebes, Lorenzo F. Fanchi, M. Slagter, M. Svane, P. Hwu, J. H. Berg, M. Stratton, C. Blank, J. Haanen, C. Keşmir, T. Schumacher
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引用次数: 1

Abstract

Over the past years we have learned that the T-cell-based immune system frequently responds to the neoantigens that arise as a consequence of the accumulated DNA damage causing the malignant transformation. Furthermore, recognition of neoantigens appears an important driver of the clinical activity of both T-cell checkpoint blockade and adoptive T-cell therapy as cancer immunotherapies. From the efforts dissecting the neoantigen-specific T-cell response it has become clear that only a very minor fraction of the accumulated mutations is recognized by the immune system, and the challenge to unravel the neoantigen-specific T-cell response lies in identifying which neoantigens are more likely to be true T-cell epitopes. We have analyzed neoantigen-specific T-cell reactivity in 12 melanoma patients using an in silico epitope prediction pipeline based on RNA expression, predicted HLA binding affinity, proteasomal processing and self-similarity to predict potential neoepitopes. We screened for T-cell recognition of 7000 epitopes from these 12 patients (average ~550 epitopes per patient, range: 96-1902) using our pMHC multimer combinatorial encoding technology and found 19 epitopes to be recognized by T-cells (hits) and 6981 to be “non-hits.” Based on these data we have examined the properties of T-cell recognized neoantigens. An intriguing observation is an enrichment within T-cell recognized epitopes of epitopes with the mutation positioned within the last 4 amino acids (C-terminal end of the peptide) compared to the screened set of epitopes. Fifteen out of 19 hits (approximately 80%) harbored a mutation within the last 4 amino acids of the peptide, whereas within the full set of screen epitopes it is 43%. While it is currently unclear what the reason is for this, this could reflect a biologic importance in T-cell recognition of the C-terminal part of the epitope. Furthermore, RNA expression and predicted binding affinity to HLA are important informative parameters for selecting T-cell recognized epitopes. A striking observation is that predicted binding affinity not only correlates with likelihood of observing a T-cell response but also the magnitude of this T-cell response, suggesting a hierarchy within neoantigens, and that not all neoantigens are of equal immunologic quality. In summary, our findings indicate that T-cell recognized neoantigens may differ from the neoantigen pool not recognized. In particular regarding position of the mutation with the epitope, RNA abundance and predicted HLA binding affinity. Importantly, our data reveal a hierarchy within neoantigens comparable to immunodominance known from viral infections. This hierarchy appears to depend mostly on binding affinity. These observations are likely to be highly relevant when selecting neoantigens for therapeutic manipulation such as vaccines. Citation Format: Pia Kvistborg, Marit M. van Buuren, Daisy Philips, Nienke van Rooij, Arno Velds, Sam Behjati, Marlous van den Braber, Mireille Toebes, Lorenzo Fanchi, Maarten Slagter, Marie Stentoft Svane, Patrick Hwu, Joost van den Berg, Michael Stratton, Christian Blank, John B.A.G. Haanen, Can Kesmir, Ton N.M. Schumacher. Properties of T-cell-recognized neoantigens [abstract]. In: Proceedings of the Fourth CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; Sept 30-Oct 3, 2018; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2019;7(2 Suppl):Abstract nr B022.
摘要B022: t细胞识别的新抗原的性质
在过去的几年里,我们已经了解到,基于t细胞的免疫系统经常对新抗原产生反应,这些抗原是由于累积的DNA损伤导致恶性转化而产生的。此外,对新抗原的识别似乎是t细胞检查点阻断和过继t细胞治疗作为癌症免疫治疗的临床活性的重要驱动因素。从剖析新抗原特异性t细胞反应的努力中,我们已经清楚地看到,积累的突变中只有很小一部分被免疫系统识别,而揭示新抗原特异性t细胞反应的挑战在于确定哪些新抗原更有可能是真正的t细胞表位。我们分析了12例黑色素瘤患者的新抗原特异性t细胞反应性,使用基于RNA表达的计算机表位预测管道,预测HLA结合亲和力,蛋白酶体加工和自相似性来预测潜在的新表位。我们使用我们的pMHC多时间组合编码技术筛选了来自这12名患者的7000个表位(平均每个患者约550个表位,范围:96-1902)的t细胞识别,发现19个表位被t细胞识别(hit), 6981个表位为“非hit”。基于这些数据,我们研究了t细胞识别的新抗原的特性。一个有趣的观察结果是,与筛选的表位相比,在t细胞识别的表位中富集了位于最后4个氨基酸(肽的c端)的突变。19个选择中有15个(约80%)在肽的最后4个氨基酸中存在突变,而在整套筛选表位中,这一比例为43%。虽然目前尚不清楚其原因,但这可能反映了t细胞识别表位c端部分的生物学重要性。此外,RNA表达和预测的HLA结合亲和力是选择t细胞识别表位的重要信息参数。一个引人注目的观察结果是,预测的结合亲和力不仅与观察到t细胞反应的可能性有关,而且与这种t细胞反应的大小有关,这表明新抗原内部存在层次结构,并不是所有的新抗原都具有相同的免疫质量。总之,我们的研究结果表明,t细胞识别的新抗原可能不同于未识别的新抗原池。特别是关于突变与表位的位置,RNA丰度和预测的HLA结合亲和力。重要的是,我们的数据揭示了新抗原的层次结构,与病毒感染的免疫优势相当。这种层次结构似乎主要依赖于绑定亲和性。这些观察结果在选择用于治疗操作(如疫苗)的新抗原时可能高度相关。引用格式:Pia Kvistborg, Marit M. van Buuren, Daisy Philips, Nienke van Rooij, Arno Velds, Sam Behjati, Marlous van den Braber, Mireille Toebes, Lorenzo Fanchi, Maarten Slagter, Marie Stentoft Svane, Patrick Hwu, Joost van den Berg, Michael Stratton, Christian Blank, John B.A.G. Haanen, Can Kesmir, Ton N.M. Schumacher。t细胞识别的新抗原的性质[摘要]。第四届CRI-CIMT-EATI-AACR国际癌症免疫治疗会议:将科学转化为生存;2018年9月30日至10月3日;纽约,纽约。费城(PA): AACR;癌症免疫学杂志,2019;7(2增刊):摘要nr B022。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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