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Informatics for cancer immunotherapy
Annals of Oncology ( IF 50.5 ) Pub Date : 2017-12-15 , DOI: 10.1093/annonc/mdx682
J. Hammerbacher , A. Snyder

The rapid development of immunomodulatory cancer therapies has led to a concurrent increase in the application of informatics techniques to the analysis of tumors, the tumor microenvironment, and measures of systemic immunity. In this review, the use of tumors to gather genetic and expression data will first be explored. Next, techniques to assess tumor immunity are reviewed, including HLA status, predicted neoantigens, immune microenvironment deconvolution, and T-cell receptor sequencing. Attempts to integrate these data are in early stages of development and are discussed in this review. Finally, we review the application of these informatics strategies to therapy development, with a focus on vaccines, adoptive cell transfer, and checkpoint blockade therapies.

中文翻译:

癌症免疫疗法的信息学

免疫调节性癌症疗法的迅速发展导致信息技术在分析肿瘤,肿瘤微环境和全身免疫措施方面的应用不断增加。在这篇综述中,将首先探讨使用肿瘤收集遗传和表达数据的方法。接下来,综述了评估肿瘤免疫力的技术,包括HLA状态,预测的新抗原,免疫微环境解卷积和T细胞受体测序。整合这些数据的尝试尚处于开发的早期阶段,并将在本综述中进行讨论。最后,我们回顾了这些信息学策略在疗法开发中的应用,重点是疫苗,过继性细胞转移和检查点封锁疗法。
更新日期:2018-01-05
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