吴增丁 (2022-07-31 23:04):
#paper DOI: 10.1126/scitranslmed.aau5516 这是一篇发表在science translational Medicine的文章,证明了一个非常有意思的观点:非编码区是靶向肿瘤特异性抗原的主要来源。 肿瘤特异性抗原 (TSA) 代表了癌症免疫治疗的理想靶标,但是目前鉴定出来的没有多少。因此作者开发了一种基于质谱(MS)蛋白质组学的新抗原鉴定方法,以实现对可能由所有基因组区域编码的 TSA 的高通量筛选和鉴定。在两种鼠癌细胞系和 7 种人类原发性肿瘤中,作者共鉴定了 40 个 TSA,其中约 90% 来自据称非编码区域,并且会被标准的基于外显子组测序(WES-based)的方法遗漏。此外,这些 TSA 中的大多数来源于非突变但异常表达的转录本(例如内源性逆转录因子),这些转录本可能由多种肿瘤类型共享。最后,作者证明,在小鼠中TSA 疫苗接种后的抗肿瘤反应强度受“TSA 表达水平”和 “免疫组库中TSA应答T细胞水平”两个参数的影响,这两个参数可以在人类中临床研究中用于 TSA 优先级选择。总结来说,本文鉴定肿瘤特异性新抗原的策略可以极大地促进人类 TSA 的鉴定以及优先排序的确定。
Noncoding regions are the main source of targetable tumor-specific antigens
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Abstract:
Tumor-specific antigens (TSAs) represent ideal targets for cancer immunotherapy, but few have been identified thus far. We therefore developed a proteogenomic approach to enable the high-throughput discovery of TSAs coded by potentially all genomic regions. In two murine cancer cell lines and seven human primary tumors, we identified a total of 40 TSAs, about 90% of which derived from allegedly noncoding regions and would have been missed by standard exome-based approaches. Moreover, most of these TSAs derived from nonmutated yet aberrantly expressed transcripts (such as endogenous retroelements) that could be shared by multiple tumor types. Last, we demonstrated that, in mice, the strength of antitumor responses after TSA vaccination was influenced by two parameters that can be estimated in humans and could serve for TSA prioritization in clinical studies: TSA expression and the frequency of TSA-responsive T cells in the preimmune repertoire. In conclusion, the strategy reported herein could considerably facilitate the identification and prioritization of actionable human TSAs.
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