Zhou Zhan, Lyu Xingzheng, Wu Jingcheng, Yang Xiaoyue, Wu Shanshan, Zhou Jie, Gu Xun, Su Zhixi, Chen Shuqing
Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, People's Republic of China.
College of Computer Science and Technology, Zhejiang University, Hangzhou 310013, People's Republic of China.
R Soc Open Sci. 2017 Apr 5;4(4):170050. doi: 10.1098/rsos.170050. eCollection 2017 Apr.
Tumour antigens have attracted much attention because of their importance to cancer diagnosis, prognosis and targeted therapy. With the development of cancer genomics, the identification of tumour-specific neoantigens became possible, which is a crucial step for cancer immunotherapy. In this study, we developed software called the tumour-specific neoantigen detector for detecting cancer somatic mutations following the best practices of the genome analysis toolkit and predicting potential tumour-specific neoantigens, which could be either extracellular mutations of membrane proteins or mutated peptides presented by class I major histocompatibility complex molecules. This pipeline was beneficial to the biologist with little programmatic background. We also applied the software to the somatic mutations from the International Cancer Genome Consortium database to predict numerous potential tumour-specific neoantigens. This software is freely available from https://github.com/jiujiezz/tsnad.
肿瘤抗原因其在癌症诊断、预后和靶向治疗中的重要性而备受关注。随着癌症基因组学的发展,肿瘤特异性新抗原的鉴定成为可能,这是癌症免疫治疗的关键一步。在本研究中,我们开发了名为肿瘤特异性新抗原检测器的软件,用于按照基因组分析工具包的最佳实践检测癌症体细胞突变,并预测潜在的肿瘤特异性新抗原,这些新抗原可以是膜蛋白的细胞外突变或由I类主要组织相容性复合体分子呈递的突变肽段。该流程对几乎没有编程背景的生物学家很有帮助。我们还将该软件应用于国际癌症基因组联盟数据库中的体细胞突变,以预测大量潜在的肿瘤特异性新抗原。该软件可从https://github.com/jiujiezz/tsnad免费获取。