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作为针对TIGIT的潜在免疫检查点抑制剂的天然化合物的计算筛选,癌症免疫治疗的新途径。

Computational screening for natural compounds as potential immune checkpoint inhibitors against TIGIT, a new avenue in cancer immunotherapy.

作者信息

Chakraborty Aritra, Kumar Amit

机构信息

Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Simrol, 453552, India.

出版信息

Mol Divers. 2025 Mar 31. doi: 10.1007/s11030-025-11172-z.

Abstract

The TIGIT-PVR signalling pathway is a key mechanism of tumour immune evasion, making it an attractive target for cancer immunotherapy. Despite the recent advances in anti-TIGIT antibodies, monoclonal antibody-based therapeutics present significant challenges because of their immunogenicity and immune-related side effects. This study presents a new path involving natural compounds as potential small molecule inhibitors of TIGIT, providing a possible alternative to antibodies in cancer immunotherapy. Through a comprehensive in silico workflow combining structure-based virtual screening, ADMET analysis, Molecular docking and molecular dynamics simulations, six promising candidates, mostly of bacterial origin, were identified: Neomycin K, 4'-Deoxybutirosin A, 5-Glucosyl-neamine, S-11-A, 12-carbamoylstreptothricin E acid, and Zwittermicin A. These candidates demonstrated favourable binding energies, stable interactions, and the capacity to block TIGIT-PVR signalling. The compounds can potentially compete with PVR to bind to TIGIT, limiting the formation of the TIGIT-PVR complex, which typically activates an inhibitory cascade in T cells and NK cells, reducing their anti-tumour activity. By disrupting this interaction, the identified compounds have the potential to stimulate T cell and NK cell responses against cancer cells. Such natural compounds potentially provide better tissue penetration and reduced immunogenicity compared to conventional antibody therapies. The discovery of bacterial-derived compounds as TIGIT inhibitors presents a new direction in the investigation of microbial metabolites for cancer immunotherapy. This strategy not only identifies a new class of TIGIT inhibitors but also provides a robust computational framework for discovering and characterizing small molecule immune checkpoint inhibitors, paving the way for subsequent experimental validation to explore their efficacy in restoring anti-tumour immune responses and improving clinical outcomes for cancer patients.

摘要

TIGIT-PVR信号通路是肿瘤免疫逃逸的关键机制,使其成为癌症免疫治疗的一个有吸引力的靶点。尽管抗TIGIT抗体最近取得了进展,但基于单克隆抗体的治疗方法由于其免疫原性和免疫相关副作用而面临重大挑战。本研究提出了一条涉及天然化合物作为TIGIT潜在小分子抑制剂的新途径,为癌症免疫治疗中的抗体提供了一种可能的替代方案。通过结合基于结构的虚拟筛选、ADMET分析、分子对接和分子动力学模拟的综合计算机辅助工作流程,确定了六种有前景的候选物,大多数来自细菌:新霉素K、4'-脱氧丁胺卡那霉素A、5-葡萄糖基新霉素、S-11-A、12-氨基甲酰链丝菌素E酸和两性霉素A。这些候选物表现出良好的结合能、稳定的相互作用以及阻断TIGIT-PVR信号的能力。这些化合物可能与PVR竞争结合TIGIT,限制TIGIT-PVR复合物的形成,该复合物通常会激活T细胞和NK细胞中的抑制级联反应,降低它们的抗肿瘤活性。通过破坏这种相互作用,所鉴定的化合物有可能刺激T细胞和NK细胞对癌细胞的反应。与传统抗体疗法相比,此类天然化合物可能具有更好的组织穿透力和更低的免疫原性。发现细菌衍生化合物作为TIGIT抑制剂为癌症免疫治疗中微生物代谢产物的研究提供了一个新方向。这一策略不仅鉴定出了一类新的TIGIT抑制剂,还为发现和表征小分子免疫检查点抑制剂提供了一个强大的计算框架,为后续实验验证探索它们在恢复抗肿瘤免疫反应和改善癌症患者临床结果方面的疗效铺平了道路。

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