Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, Quebec H3C 3J7, Canada.
Department of Medicine, Université de Montréal, Montreal, Quebec H3C 3J7, Canada.
Sci Transl Med. 2018 Dec 5;10(470). doi: 10.1126/scitranslmed.aau5516.
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.
肿瘤特异性抗原 (TSA) 是癌症免疫治疗的理想靶点,但迄今为止,已鉴定出的 TSA 数量很少。因此,我们开发了一种蛋白质基因组学方法,以实现对潜在所有基因组区域编码的 TSA 的高通量发现。在两种鼠癌细胞系和七种人类原发性肿瘤中,我们总共鉴定出 40 种 TSA,其中约 90% 源自据称是非编码区域的 TSA,而这些 TSA 会被标准的基于外显子组的方法所遗漏。此外,这些 TSA 中的大多数源自非突变但异常表达的转录本(如内源性逆转录元件),这些转录本可能被多种肿瘤类型共享。最后,我们证明,在小鼠中,TSA 疫苗接种后的抗肿瘤反应强度受到两个可以在人类中估计的参数的影响,这些参数可以用于 TSA 在临床研究中的优先级排序:TSA 表达和预免疫库中 TSA 反应性 T 细胞的频率。总之,本文报道的策略可以极大地促进可操作的人类 TSA 的鉴定和优先级排序。