胰腺癌：新一代的新抗原选择算法。
Pancreatic cancer: Next-generation algorithms for neoantigen selection.
机构信息
Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, 1650 Orleans Street, Baltimore, Maryland 21231, USA.
出版信息
Nat Rev Gastroenterol Hepatol. 2018 Mar;15(3):135-136. doi: 10.1038/nrgastro.2017.184. Epub 2018 Jan 10.
Abstract
Predicting clinical outcomes in cancer using neoantigen burden is imperfect because current algorithms use only the binding affinity of putative neoantigens to HLA. A new study models pancreatic tumour response through a deeper understanding of tumour immunology, providing new tools for identifying neoantigens and characteristics that define their quality.
摘要
使用新抗原负担预测癌症的临床结果并不完美，因为目前的算法仅使用假定的新抗原与 HLA 的结合亲和力。一项新的研究通过更深入地了解肿瘤免疫学来模拟胰腺肿瘤的反应，为识别新抗原和定义其质量的特征提供了新的工具。
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