新抗原争议。

IF 7 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Annual Review of Biomedical Data Science Pub Date : 2021-07-20 Epub Date: 2021-05-11 DOI:10.1146/annurev-biodatasci-092820-112713
Andrea Castro, Maurizio Zanetti, Hannah Carter
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引用次数: 0

摘要

下一代测序技术彻底改变了我们对肿瘤基因组中体细胞突变的编目能力。这些突变有时会产生所谓的新抗原,使免疫系统能够检测并消灭肿瘤细胞。然而,根据肿瘤的分子差异来刺激免疫系统消灭肿瘤的努力并没有取得预期的成功,关于新抗原在这种方法的成功中所起的作用,也有相互矛盾的报道。在此,我们回顾了文献中一些相互矛盾的证据,并强调了肿瘤免疫界面的一些关键方面,这些方面正在成为突变衍生的新抗原是否会促进免疫疗法反应的主要决定因素。考虑到这些因素有望提高未来免疫疗法的成功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Neoantigen Controversies.

Next-generation sequencing technologies have revolutionized our ability to catalog the landscape of somatic mutations in tumor genomes. These mutations can sometimes create so-called neoantigens, which allow the immune system to detect and eliminate tumor cells. However, efforts that stimulate the immune system to eliminate tumors based on their molecular differences have had less success than has been hoped for, and there are conflicting reports about the role of neoantigens in the success of this approach. Here we review some of the conflicting evidence in the literature and highlight key aspects of the tumor-immune interface that are emerging as major determinants of whether mutation-derived neoantigens will contribute to an immunotherapy response. Accounting for these factors is expected to improve success rates of future immunotherapy approaches.

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来源期刊
CiteScore
11.10
自引率
1.70%
发文量
0
期刊介绍: The Annual Review of Biomedical Data Science provides comprehensive expert reviews in biomedical data science, focusing on advanced methods to store, retrieve, analyze, and organize biomedical data and knowledge. The scope of the journal encompasses informatics, computational, artificial intelligence (AI), and statistical approaches to biomedical data, including the sub-fields of bioinformatics, computational biology, biomedical informatics, clinical and clinical research informatics, biostatistics, and imaging informatics. The mission of the journal is to identify both emerging and established areas of biomedical data science, and the leaders in these fields.
期刊最新文献
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