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:Divergent CD45(+) immune landscapes shape the lung tumor microenvironment.
Divergent CD45(+) immune landscapes shape the lung tumor microenvironment.
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不同的 CD45+免疫景观,以 LLC1 肿瘤中的炎症抑制和 Kras LA2 肿瘤中的代谢适应为特征,塑造了肺部肿瘤生物学。该图谱识别了基因型特异性的免疫脆弱性,可能与非小细胞肺癌的精准免疫治疗相关。
肺肿瘤微环境(TME)在肺癌的进展和转移中起着至关重要的作用。它由多种细胞类型组成,这些细胞以复杂的方式相互作用以影响肿瘤行为。CD45+细胞作为TME的组成部分,在肺癌中具有复杂且多方面的作用。CD45+细胞的抗肿瘤和促肿瘤功能之间的平衡可以显著影响肺癌的结局。理解这些作用对于开发靶向疗法至关重要,这些疗法可以利用CD45+细胞的有益效应,同时减轻其有害效应。
我们对来自健康肺、原位 LLC1 肿瘤和 Kras LA2(Kras)基因工程肿瘤的分选 CD45 + 免疫细胞进行了单细胞 RNA 测序。分析包括免疫组成、转录程序、分化轨迹、代谢状态以及基于配体-受体的细胞间通讯网络。
四个主要免疫区室,B细胞、T细胞、NK细胞和巨噬细胞,经历了模型特异性重塑。LLC1肿瘤显示B细胞扩增以及T细胞和NK细胞减少,并伴有炎症、应激反应和NF-κB/TNF主导的程序。Kras LA2肿瘤保留了平衡的免疫组成,但表现出代谢重编程、抗原呈递特征升高以及选择性细胞间信号传导。亚聚类揭示了B细胞(静息、成熟、pre-Bcr、晚期pro-B、浆细胞)、T细胞(Cd4 +、Cd8 +、记忆、活化、Treg、Th17)、NK细胞(Fcgr3 high、Fcgr3 low、Xcl1 +)和巨噬细胞(Ace +、Bcr +、Ccr2 +、Cd3 +、代谢、MHCII +)亚群中的特异性变化。配体-受体分析突出显示,LLC1肿瘤中炎症网络密集,而Kras LA2肿瘤中信号传导则呈现代谢调谐特征。
The lung tumor microenvironment (TME) plays a crucial role in the progression and metastasis of lung cancer. It consists of various cell types that interact in complex ways to influence tumor behavior. CD45 + cells, as a component of the TME, have complex and multifaceted roles in lung cancer. The balance between the anti-tumor and pro-tumor functions of CD45 + cells can significantly affect lung cancer outcomes. Understanding these roles is essential for developing targeted therapies that harness the beneficial effects of CD45 + cells while mitigating their harmful effects.
We performed single-cell RNA sequencing of sorted CD45 + immune cells from healthy lungs, orthotopic LLC1 tumors, and Kras LA2 (Kras) genetically engineered tumors. Analyses included immune composition, transcriptional programs, differentiation trajectories, metabolic states, and ligand-receptor-based intercellular communication networks.
Four major immune compartments, B cells, T cells, NK cells, and macrophages, underwent model-specific remodeling. LLC1 tumors showed B cell expansion and T and NK cell reduction, with inflammatory, stress-response, and NF-κB/TNF-dominant programs. Kras LA2 tumors retained a balanced immune composition but exhibited metabolic rewiring, elevated antigen-presentation signatures, and selective intercellular signaling. Subclustering revealed specialized changes across B cell (resting, mature, pre-Bcr, late pro-B, plasma), T cell (Cd4 + , Cd8 + , memory, activated, Treg, Th17), NK cell (Fcgr3 high , Fcgr3 low , Xcl1 + ), and macrophage (Ace + , Bcr + , Ccr2 + , Cd3 + , metabolic, MHCII + ) subsets. Ligand-receptor analyses highlighted dense inflammatory networks in LLC1 tumors versus metabolically tuned signaling in Kras LA2 tumors.
Distinct CD45 + immune landscapes, characterized by inflammatory suppression in LLC1 and metabolic adaptation in Kras LA2 tumors, shape lung tumor biology. This atlas identifies genotype-specific immune vulnerabilities with potential relevance for precision immunotherapy in non-small cell lung cancer.
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