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Pancreatic cancer: Next-generation algorithms for neoantigen selection
Nature Reviews Gastroenterology & Hepatology ( IF 45.9 ) Pub Date : 2018-01-10 , DOI: 10.1038/nrgastro.2017.184
Alexander Hopkins , Elizabeth Jaffee

Pancreatic cancer: Next-generation algorithms for neoantigen selection

Pancreatic cancer: Next-generation algorithms for neoantigen selection, Published online: 10 January 2018; doi:10.1038/nrgastro.2017.184

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.


中文翻译:

胰腺癌:选择新抗原的下一代算法

胰腺癌:选择新抗原的下一代算法

胰腺癌:新一代抗原选择算法,在线发布:2018年1月10日; doi:10.1038 / nrgastro.2017.184

使用新抗原负担预测癌症的临床结果是不完善的,因为当前的算法仅使用假定的新抗原与HLA的结合亲和力。一项新的研究通过对肿瘤免疫学的更深入了解来模拟胰腺肿瘤的反应,为鉴定新抗原和定义其质量的特征提供了新的工具。
更新日期:2018-01-10
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