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:Dynamic Evolution of the Tumor Immune Microenvironment in Malignant Tumors and Emerging Therapeutic Paradigms.
Dynamic Evolution of the Tumor Immune Microenvironment in Malignant Tumors and Emerging Therapeutic Paradigms.
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癌症不仅仅是肿瘤细胞的集合。复杂的肿瘤系统,包括肿瘤免疫微环境(TIME),在不断变化。肿瘤细胞与所有基质成分(例如,成纤维细胞、内皮细胞和细胞外基质)以及免疫效应细胞(例如,T细胞、B细胞、NK 细胞、树突状细胞、巨噬细胞和髓源性抑制细胞)持续通信。这些细胞和分子信号通路之间错综复杂的相互作用共同驱动肿瘤生长、肿瘤侵袭和转移,并显著影响癌症治疗的效果。最近的研究,从以肿瘤为中心的研究范式转向对局部肿瘤微环境的全面评估,揭示了TIME的重要性。尽管这些领域的综述通常侧重于TIME的细胞/分子分解和免疫系统逃逸,但缺乏对其动态演化的系统研究。本综述全面讨论了参与TIME动态演化的主要调节因子和网络、TIME组分的时空动态、作为TIME演化引擎的代谢重编程、代谢调节因子的靶向、TIME调节的生态位、临床和转化挑战以及未来前景。这些信息可以帮助研究人员探索TIME并产生新的治疗策略。
Cancer is more than just a collection of tumor cells. The complex tumor system, including the tumor immune microenvironment (TIME), is continually changing. Tumor cells are in constant communication with all stromal elements (e. g. , fibroblasts, endothelial cells, and extracellular matrix) and immune effector cells (e. g. , T cells, B cells, natural killer cells, dendritic cells, macrophages, and myeloid-derived suppressor cells).
Together, these intricate interactions among cell and molecular signaling pathways collectively drive tumor growth, tumor invasion, and metastasis and significantly affect the efficacy of cancer treatments. Recent investigations, from a tumor-centric research paradigm to a complete evaluation of the local tumor microenvironment, have revealed the importance of the TIME. Although reviews in these fields typically focus on cellular/molecular breakdowns of the TIME and evasion of the immune system, a systematic study of its dynamic evolution is lacking.
This review comprehensively discusses the major regulators and networks involved in the dynamic evolution of the TIME, the spatiotemporal dynamics of TIME components, metabolic reprogramming as an engine of TIME evolution, the targeting of metabolic regulators, and niches for TIME modulation, clinical and translational challenges, and future prospects. This information could help researchers explore the TIME and generate new therapeutic strategies.
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