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Differential binding affinity of mutated peptides for MHC class I is a predictor of survival in advanced lung cancer and melanoma.突变肽对 MHC Ⅰ类的差异结合亲和力是晚期肺癌和黑色素瘤患者生存的预测因子。
Ann Oncol. 2018 Jan 1;29(1):271-279. doi: 10.1093/annonc/mdx687.
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Tumor Immunity and Survival as a Function of Alternative Neopeptides in Human Cancer.肿瘤免疫与人类癌症中替代新肽的存活关系。
Cancer Immunol Res. 2018 Mar;6(3):276-287. doi: 10.1158/2326-6066.CIR-17-0559. Epub 2018 Jan 16.
3
Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer.胰腺癌长期存活者中独特新抗原特性的鉴定
Nature. 2017 Nov 23;551(7681):512-516. doi: 10.1038/nature24462. Epub 2017 Nov 8.
4
Targeting neoantigens to augment antitumour immunity.靶向新抗原以增强抗肿瘤免疫力。
Nat Rev Cancer. 2017 Aug 24;17(9):569. doi: 10.1038/nrc.2017.74.
5
Characterizing neoantigens for personalized cancer immunotherapy.鉴定用于个体化癌症免疫治疗的新抗原。
Curr Opin Immunol. 2017 Jun;46:58-65. doi: 10.1016/j.coi.2017.04.007. Epub 2017 May 4.
6
TCR contact residue hydrophobicity is a hallmark of immunogenic CD8+ T cell epitopes.TCR接触残基的疏水性是免疫原性CD8 + T细胞表位的一个标志。
Proc Natl Acad Sci U S A. 2015 Apr 7;112(14):E1754-62. doi: 10.1073/pnas.1500973112. Epub 2015 Mar 23.
7
Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencing.通过质谱分析与外显子组测序相结合预测免疫原性肿瘤突变。
Nature. 2014 Nov 27;515(7528):572-6. doi: 10.1038/nature14001.
8
Genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity.突变新抗原表位的基因组和生物信息学分析揭示了预测抗癌免疫原性的新规则。
J Exp Med. 2014 Oct 20;211(11):2231-48. doi: 10.1084/jem.20141308. Epub 2014 Sep 22.
9
Properties of MHC class I presented peptides that enhance immunogenicity.MHC Ⅰ类分子呈递的增强免疫原性肽的特性。
PLoS Comput Biol. 2013 Oct;9(10):e1003266. doi: 10.1371/journal.pcbi.1003266. Epub 2013 Oct 24.

癌症新抗原与免疫原性:突变位置至关重要。

Cancer neoantigens and immunogenicity: mutation position matters.

作者信息

Capietto Aude-Hélène, Jhunjhunwala Suchit, Delamarre Lélia

机构信息

cancer Immunology Department, Genentech, South San Francisco, CA, USA.

Bioinformatic Department, Genentech, south San Francisco, CA, USA.

出版信息

Mol Cell Oncol. 2020 Apr 3;7(3):1740071. doi: 10.1080/23723556.2020.1740071. eCollection 2020.

DOI:10.1080/23723556.2020.1740071
PMID:32391432
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7199756/
Abstract

Cancer mutations can elicit protective immunity. Computational methods are critical for selecting these neoantigens for immunotherapy. While significant progress has been made in the field in predicting peptide presentation, our understanding of which mutated peptide is recognized as foreign by T cells remains limited. We used mouse vaccination studies to examine the features of immunogenic neoantigens and demonstrated that the mutation position is an important criterion for predicting neoantigens.

摘要

癌症突变可引发保护性免疫。计算方法对于选择这些新抗原进行免疫治疗至关重要。虽然在预测肽呈递领域已取得重大进展,但我们对哪些突变肽被T细胞识别为外来肽的理解仍然有限。我们利用小鼠疫苗接种研究来检查免疫原性新抗原的特征,并证明突变位置是预测新抗原的一个重要标准。