| 引用本文: | 吴静成,陈枢青,周展.肿瘤新抗原预测方法研究进展[J].中国现代应用药学,2022,39(21):2879-2886. |
| WU Jingcheng,CHEN Shuqing,ZHOU Zhan.Advances in Tumor Neoantigen Prediction Methods[J].Chin J Mod Appl Pharm(中国现代应用药学),2022,39(21):2879-2886. |
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| 摘要: |
| 肿瘤新抗原是一类肿瘤特异性抗原，是潜在的肿瘤免疫治疗理想靶标。由于肿瘤新抗原产生及刺激T细胞应答的生理过程复杂，如何高效地发现与鉴定肿瘤新抗原仍是一个巨大的挑战。随着肿瘤免疫基因组学数据的积累和人工智能预测方法的深入研究，研究者能够借助人工智能新算法进行肿瘤新抗原预测方法的研究，为基于肿瘤新抗原的肿瘤免疫治疗奠定坚实的基础。本文围绕肿瘤新抗原胞内处理、抗原提呈和T细胞识别等生理过程系统综述了肿瘤新抗原预测方法的进展。 |
| 关键词: 肿瘤新抗原 肿瘤免疫治疗 抗原提呈 预测方法 人工智能 |
| DOI：10.13748/j.cnki.issn1007-7693.2022.21.026 |
| 分类号: |
| 基金项目:国家自然科学基金项目(U20A20409，31971371) |
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| Advances in Tumor Neoantigen Prediction Methods |
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WU Jingcheng, CHEN Shuqing, ZHOU Zhan
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Zhejiang University, College of Pharmaceutical Sciences, Zhejiang Key Laboratory of Preclinical Research on Antitumor Drugs, Hangzhou 310058, China
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| Abstract: |
| Neoantigen is tumor specific antigen and a promising target for tumor immunotherapy. However, due to the complex physiological process of neoantigen generating and stimulating T cell response, it’s still a huge challenge to discover and identify neoantigen efficiently. With the accumulation of tumor immunogenomics data and the in-depth study of artificial intelligence prediction methods, researchers could take advantage of artificial intelligence algorithms for neoantigen prediction methods, laying a solid foundation for tumor immunotherapy based on neoantigens. The research reviewed the advances in tumor neoantigen prediction methods for antigen processing and presenting, as well as antigen recognition by T cells. |
| Key words: tumor neoantigen tumor immunotherapy antigen presenting prediction method artificial intelligence |
