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:Metabolic regulation and immunosuppressive functions of lipid-associated macrophages in pancreatic ductal adenocarcinoma.
Metabolic regulation and immunosuppressive functions of lipid-associated macrophages in pancreatic ductal adenocarcinoma.
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LAMs 代表 PDAC 中一个潜在的治疗脆弱点,但该领域仍处于早期阶段。未来的工作应聚焦于在 PDAC 特异性模型中建立因果证据、开发肿瘤选择性递送系统,以及验证用于患者分层的生物标志物。
胰腺导管腺癌(PDAC)表现出深度免疫抑制的肿瘤微环境,其中肿瘤相关巨噬细胞(TAMs)是最丰富的免疫浸润细胞。其中,脂质相关巨噬细胞(LAMs)已成为一个独特的亚群,通过代谢重编程驱动免疫逃逸。
我们通过系统检索PubMed、Web of Science和Scopus截至2023年12月关于PDAC中LAMs的文章,进行了一项叙述性综述。综合了关键主题,涵盖定义标志物、代谢途径、免疫抑制功能及治疗策略。
LAMs 的特征是 TREM2、APOE、CD9 和脂质处理基因的共表达,其积累与不良预后相关。它们经历代谢重编程,涉及 CD36 介导的脂质摄取、胆固醇外流失调、脂肪酸氧化和从头脂肪生成,这些共同强化了免疫抑制表型。LAMs 与癌症相关成纤维细胞双向相互作用,并直接抑制 CD8+ T 细胞和 NK 细胞。临床前靶向 CD36、TREM2 或 FAO 显示出前景,但在毒性和递送方面面临挑战。
We conducted a narrative review by systematically searching PubMed, Web of Science, and Scopus for articles on LAMs in PDAC up to December 2023. Key themes were synthesized to cover defining markers, metabolic pathways, immunosuppressive functions, and therapeutic strategies.
LAMs are characterized by co-expression of TREM2, APOE, CD9, and lipid-handling genes, and their accumulation correlates with poor prognosis. They undergo metabolic rewiring involving CD36-mediated lipid uptake, dysregulated cholesterol efflux, fatty acid oxidation, and de novo lipogenesis, which collectively enforce an immunosuppressive phenotype. LAMs interact bidirectionally with cancer-associated fibroblasts and directly suppress CD8+ T cells and NK cells. Preclinical targeting of CD36, TREM2, or FAO shows promise but faces challenges in toxicity and delivery. DISCUSSION: LAMs represent a potential therapeutic vulnerability in PDAC, but the field is still in its early stages. Future work should focus on establishing causal evidence in PDAC-specific models, developing tumor-selective delivery systems, and validating biomarkers for patient stratification.
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