School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Molecules. 2020 Dec 30;26(1):132. doi: 10.3390/molecules26010132.
With the increasing understanding of tumor immune circulation mechanisms, tumor immunotherapy including immune checkpoint blockade has become a research hotspot, which requires the development of more accurate and more efficient drugs with fewer side effects. In line with this requirement, peptides with good biocompatibility, targeting, and specificity become favorable theranostic reagents, and a series of promising candidates for tumor immunotherapy based on peptides have been developed. Additionally, the advantages of nanomaterials as drug carriers such as higher affinity have been demonstrated, providing possibilities of combination therapy. In this review, we summarize the development of peptide-based nanomaterials in tumor immunotherapy from the two aspects of functionalization and self-assembly. Furthermore, new methods for peptide screening, especially machine-learning-related strategies, is also a topic we were interested in, as this forms the basis for the construction of peptide-based platforms. Peptides provide broad prospects for tumor immunotherapy and we hope that this summary can provide insight into possible avenues for future exploration.
随着对肿瘤免疫循环机制的认识不断加深，包括免疫检查点阻断在内的肿瘤免疫疗法已成为研究热点，这需要开发具有更好的准确性、更高的效率和更少副作用的药物。符合这一要求的是具有良好生物相容性、靶向性和特异性的肽，一系列基于肽的肿瘤免疫治疗有前途的候选药物已经开发出来。此外，纳米材料作为药物载体的优势（如更高的亲和力）已经得到证实，为联合治疗提供了可能性。在这篇综述中，我们从功能化和自组装两个方面总结了基于肽的纳米材料在肿瘤免疫治疗中的发展。此外，我们还对肽筛选的新方法，特别是与机器学习相关的策略感兴趣，因为这是构建基于肽的平台的基础。肽为肿瘤免疫治疗提供了广阔的前景，我们希望本综述能为未来的探索提供一些思路。
