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:Convergence of immunometabolism and lung cancer therapy: redefining the tumor-immune interface.
Convergence of immunometabolism and lung cancer therapy: redefining the tumor-immune interface.
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手术、化疗、放疗和免疫检查点阻断仍是肺癌治疗的主要手段。尽管有这些方法,肺癌仍是全球癌症相关死亡的第二大原因。近期对肺部肿瘤代谢重编程及其与免疫细胞相互作用(称为免疫代谢)的认识,揭示了塑造肿瘤进展和治疗反应的关键机制。在肺癌中,T淋巴细胞、NK 细胞和巨噬细胞发生代谢改变,肿瘤利用这些改变来创建免疫抑制微环境,而肿瘤细胞则采取代谢转换以支持生长、应激下的存活以及逃避免疫监视。肺部肿瘤微环境中葡萄糖、氧气和氨基酸可用性的动态调节影响T细胞活化、巨噬细胞极化以及免疫抑制细胞的募集。关键致癌通路,包括c-Myc、HIF-1α和PI3K-AKT-mTOR,协调这些代谢和免疫适应。这些认识启发了新的治疗策略,将靶向肿瘤代谢与免疫代谢调节相结合以增强抗肿瘤免疫,通常与免疫检查点阻断或过继细胞治疗联合使用。单细胞和空间代谢组学的进展现在能够精确表征肺部肿瘤的代谢异质性,为利用免疫代谢脆弱性的个性化干预铺平了道路。本综述强调肺癌特异性免疫代谢作为改善治疗结果的有前景途径,整合了分子机制、临床试验和新兴技术。
Surgery, chemotherapy, radiotherapy, and immune checkpoint blockade remain the mainstays of lung cancer treatment. Despite these approaches, lung cancer continues to be the second leading cause of cancer-related deaths worldwide. Recent insights into the metabolic reprogramming of lung tumors and their interplay with immune cells termed immunometabolism have revealed crucial mechanisms shaping tumor progression and therapeutic response. In lung cancer, T lymphocytes, natural killer cells, and macrophages undergo metabolic alterations that tumors exploit to create an immunosuppressive microenvironment, while tumor cells adopt metabolic switches that support growth, survival under stress, and evasion of immune surveillance. The dynamic regulation of glucose, oxygen, and amino acid availability in the lung tumor microenvironment influences T cell activation, macrophage polarization, and recruitment of immunosuppressive cells.
Key oncogenic pathways, including c-Myc, HIF-1α, and PI3K-AKT-mTOR, coordinate these metabolic and immune adaptations. These insights have inspired novel therapeutic strategies that combine tumor metabolism-targeting with immune metabolism modulation to enhance antitumor immunity, often in conjunction with immune checkpoint blockade or adoptive cell therapy.
Advances in single-cell and spatial metabolomics now enable precise characterization of metabolic heterogeneity in lung tumors, paving the way for personalized interventions exploiting immunometabolic vulnerabilities. This review emphasizes lung cancer-specific immunometabolism as a promising avenue for improving treatment outcomes, integrating molecular mechanisms, clinical trials, and emerging technologies.
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