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:Risk model of liquid-liquid phase separation-related genes reveals the prognosis and tumor microenvironment characteristics of colorectal cancer.
Risk model of liquid-liquid phase separation-related genes reveals the prognosis and tumor microenvironment characteristics of colorectal cancer.
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结直肠癌(CRC)的进展涉及液-液相分离(LLPS),但其预后意义尚未被探索。利用癌症基因组图谱(The Cancer Genome Atlas)的转录组数据,我们开发了一个基于LLPS的风险模型,其表现优于传统的聚类方法。高风险患者表现出更差的结局,这与更高的肿瘤突变负荷和减少的自然杀伤/T细胞浸润相关,但预测对免疫检查点阻断的反应增加。药物敏感性分析提示恩替诺特和5-氟尿嘧啶在该亚组中具有治疗疗效。五个关键基因(ASXL1、DDX21、HNRNPA1L2、TACC3和TRIM28)被确定为LLPS驱动的CRC进展调控因子,在机制上将相分离与表观遗传失调、异常RNA剪接和代谢重编程联系起来。我们的研究提供了首个针对CRC的LLPS相关预后框架,既提供了风险分层工具,也提供了可操作的治疗见解。这些发现强调LLPS是CRC发病机制中的关键分子组织者,也是精准肿瘤学方法的潜在靶点。
Colorectal cancer (CRC) progression involves liquid-liquid phase separation (LLPS), but its prognostic significance remains unexplored. Using The Cancer Genome Atlas transcriptomic data, we developed an LLPS-based risk model that outperformed traditional clustering methods. High-risk patients exhibited worse outcomes, correlating with higher tumor mutational burden and reduced natural killer/T-cell infiltration, yet increased predicted response to immune checkpoint blockade.
Drug sensitivity analysis suggested therapeutic efficacy of Entinostat and 5-fluorouracil in this subgroup. Five pivotal genes (ASXL1, DDX21, HNRNPA1L2, TACC3, and TRIM28) were identified as LLPS-driven regulators of CRC progression, mechanistically linking phase separation to epigenetic dysregulation, aberrant RNA splicing, and metabolic reprogramming.
Our study provides the first LLPS-associated prognostic framework for CRC, offering both a risk stratification tool and actionable therapeutic insights. The findings highlight LLPS as a critical molecular organizer in CRC pathogenesis and a potential target for precision oncology approaches.
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