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肿瘤生长中新抗原的进化动力学。

Evolutionary dynamics of neoantigens in growing tumors.

机构信息

Evolution and Cancer Laboratory, Centre for Genomics and Computational Biology, Barts Cancer Institute, School of Medicine and Dentistry, Queen Mary University of London, London, UK.

Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL, USA.

出版信息

Nat Genet. 2020 Oct;52(10):1057-1066. doi: 10.1038/s41588-020-0687-1. Epub 2020 Sep 14.

Abstract

Cancers accumulate mutations that lead to neoantigens, novel peptides that elicit an immune response, and consequently undergo evolutionary selection. Here we establish how negative selection shapes the clonality of neoantigens in a growing cancer by constructing a mathematical model of neoantigen evolution. The model predicts that, without immune escape, tumor neoantigens are either clonal or at low frequency; hypermutated tumors can only establish after the evolution of immune escape. Moreover, the site frequency spectrum of somatic variants under negative selection appears more neutral as the strength of negative selection increases, which is consistent with classical neutral theory. These predictions are corroborated by the analysis of neoantigen frequencies and immune escape in exome and RNA sequencing data from 879 colon, stomach and endometrial cancers.

摘要

癌症会积累导致新抗原的突变,这些新抗原是引发免疫反应的新型肽,因此会经历进化选择。在这里,我们通过构建新抗原进化的数学模型,来确定负选择如何塑造不断增长的癌症中新抗原的克隆性。该模型预测,如果没有免疫逃逸,肿瘤新抗原要么是克隆的,要么频率很低;只有在免疫逃逸进化后,超突变肿瘤才能建立。此外,随着负选择强度的增加,负选择下体细胞变异的位点频率谱表现出更中性的特征,这与经典中性理论一致。这些预测得到了来自 879 例结肠癌、胃癌和子宫内膜癌的外显子和 RNA 测序数据中对新抗原频率和免疫逃逸分析的证实。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/decf/7610467/085877313fe9/EMS118013-f006.jpg

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