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:Interplay between bile acids, gut microbiota, and the tumor immune microenvironment: mechanistic insights and therapeutic strategies.
Interplay between bile acids, gut microbiota, and the tumor immune microenvironment: mechanistic insights and therapeutic strategies.
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肠道菌群、胆汁酸(BA)代谢与肿瘤免疫微环境(TIME)之间的相互作用是肿瘤免疫学中一个关键且快速发展的领域。菌群转化的胆汁酸作为关键的信号分子。本综述系统剖析了这些BA如何与宿主受体(如FXR、TGR5、VDR、S1PR2)结合,从而影响TIME中关键固有免疫细胞(巨噬细胞、NK细胞、MDSCs、DCs)和适应性免疫细胞(CD8+ T细胞、Tregs、Th1/Th17细胞)群体的分化和活性。
我们强调,这一菌群-BA-免疫轴的失调在胃肠道和肝胆肿瘤中普遍存在,常促成促炎、免疫抑制的TIME,从而促进肿瘤免疫逃逸和进展。鉴于此,我们审视了旨在重编程该轴的新兴治疗策略,包括药理学BA受体调节、基于菌群的干预(如工程化微生物、FMT、饮食策略),以及它们与免疫检查点抑制剂等既定癌症治疗的协同潜力。
最后,本综述讨论了临床转化中的重大挑战,包括该轴固有的复杂性、个体间变异性和方法学障碍。未来方向包括应对异质性、采用先进的多组学以及开发用于精准免疫肿瘤学的稳健生物标志物。解开这一复杂的免疫代谢网络对于识别新型诊断工具和推进下一代癌症免疫治疗至关重要。
The interplay between the gut microbiota, bile acid (BA) metabolism, and the tumor immune microenvironment (TIME) is a critical and rapidly advancing field in cancer immunology. Microbiota-transformed bile acids act as pivotal signaling molecules. This review systematically dissects how these BAs engage host receptors (e. g. , FXR, TGR5, VDR, S1PR2) to influence the differentiation and activity of key innate (macrophages, NK cells, MDSCs, DCs) and adaptive (CD8+ T cells, Tregs, Th1/Th17 cells) immune cell populations within the TIME.
We underscore that dysregulation of this microbiota-BA-immune axis, prevalent in gastrointestinal and hepatobiliary cancers, frequently cultivates a pro-inflammatory, immunosuppressive TIME, thereby facilitating tumor immune evasion and progression.
In light of this, we examine emerging therapeutic strategies aimed at reprogramming this axis, including pharmacological BA receptor modulation, microbiota-based interventions (e. g. , engineered microbes, FMT, dietary strategies), and their synergistic potential with established cancer treatments like immune checkpoint inhibitors.
Finally, this review addresses significant challenges in clinical translation, including inherent axis complexity, inter-individual variability, and methodological hurdles. Future directions highlighted include tackling heterogeneity, employing advanced multi-omics, and developing robust biomarkers for precision immuno-oncology. Unraveling this complex immunometabolic network is crucial for identifying novel diagnostic tools and advancing next-generation cancer immunotherapies.
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