RNF43 p.G659fs 通过 PI3K/AKT/mTOR 信号通路和 HLA-E 上调导致 MSI-high 结直肠癌中 NK 细胞功能障碍
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:The role of Epstein-Barr virus in NK/T cell lymphoproliferative disorders: molecular mechanisms and potential therapeutic strategies.
The role of Epstein-Barr virus in NK/T cell lymphoproliferative disorders: molecular mechanisms and potential therapeutic strategies.
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EBV是一种广泛流行的嗜淋巴细胞γ-疱疹病毒,约95%的人群在一生中某个阶段有感染证据。虽然大多数感染无症状或呈自限性临床过程,但在某些人群中,EBV可导致一系列淋巴增殖性疾病(LPDs),尤其是起源于T细胞和自然杀伤(NK)细胞的亚型,这些亚型常以高度侵袭性的疾病进展为特征。本文旨在系统讨论EBV感染的分子基础,涵盖其病毒生物学特性、潜伏期和裂解期的调控、关键病毒蛋白功能(如LMP1、LMP2A、EBNA1)、miRNA调控机制,以及多种宿主信号通路(如NF-κB、PI3K-AKT、JAK-STAT)的激活,这些机制共同参与维持潜伏感染、细胞转化和免疫逃逸。
此外,本文重点探讨这些机制在EBV相关T/NK细胞淋巴增殖性疾病中的致病作用。研究亮点包括对病毒-宿主基因组相互作用机制的深入分析、新型分子生物标志物的鉴定,以及靶向治疗策略的开发(如PD-1/PD-L1免疫检查点抑制剂、EBV特异性T细胞治疗)。通过这一综合综述,期望将个性化医疗和人工智能辅助的多模态决策应用于EBV相关疾病的精准预防和治疗。
Epstein-Barr virus (EBV) is a widely prevalent lymphotropic -herpesvirus, with approximately 95% of the population showing evidence of infection at some point during their lifetime. While most infections are asymptomatic or follow a self-limiting clinical course, in certain populations, EBV can lead to a range of lymphoproliferative disorders (LPDs), particularly subtypes originating from T cells and natural killer (NK) cells, which are often characterized by highly aggressive disease progression.
This review aims to systematically discuss the molecular basis of EBV infection, covering its viral biological properties, regulation of the latent and lytic cycles, key viral protein functions (e. g. , LMP1, LMP2A, EBNA1), miRNA regulatory mechanisms, and the activation of various host signaling pathways (such as NF- B, PI3K-AKT, JAK-STAT) that contribute to the maintenance of latent infection, cell transformation, and immune evasion.
Additionally, the review focuses on the pathogenic contributions of these mechanisms in EBV-related T/NK cell lymphoproliferative diseases. Research highlights include the in-depth analysis of virus-host genome interaction mechanisms, the identification of novel molecular biomarkers, and the development of targeted therapeutic strategies (e.
g. , PD-1/PD-L1 immune checkpoint inhibitors, EBV-specific T cell therapy). Through this comprehensive review, it is hoped that personalized medicine and artificial intelligence-assisted multimodal decision-making will be applied to the precise prevention and treatment of EBV-related diseases.
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