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:SUMOylation-regulated genes in colon cancer: expression patterns and clinical implications.
SUMOylation-regulated genes in colon cancer: expression patterns and clinical implications.
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结肠癌(CRC)表现出显著的异质性,识别有效的生物标志物可以推动精准治疗的发展。新出现的证据表明,SUMO化调控基因是癌症相关通路的关键调控因子,但其在CRC中的预后潜力和治疗意义尚未被探索。
我们利用TCGA-COAD和GEO数据集的转录组数据,对CRC中SUMO化调控基因的表达、临床和预后价值进行了全面分析。
我们在CRC肿瘤与正常组织之间鉴定了46个差异表达的SUMO化调控基因(33个上调,13个下调)。基于216个SUMO化相关基因的无监督聚类将CRC患者分为两个不同的亚型:SUMO Cluster 1(侵袭性表型,预后差)和SUMO Cluster 2(预后良好)。Cluster 1表现出晚期肿瘤分期(N分期,p < 0.05),并可能呈现以HLA/免疫检查点基因表达降低为标志的免疫抑制微环境,而Cluster 2则显示出增强的抗肿瘤免疫(活化的树突状细胞、γδ T细胞)。
我们开发了一个基于SUMO化的五基因预后特征(MC1R、LRRC4C、SAGE1、GJB6、HOXC5),并将患者分为高Riskscore组和低Riskscore组,两组之间存在显著的生存差异(log-rank p < 0.05)。整合风险评分、年龄和分期的列线图表现出稳健的预测准确性(C-index = 0.763,AUC = 0.728-0.785)。Nomoscore高的患者表现出对AMG.706和ABT.888的耐药性,提示存在治疗脆弱性。这些发现突出表明SUMO化在CRC异质性、免疫调节和预后中发挥关键作用,为风险分层和个性化治疗提供了一种新的生物标志物系统。
Colon cancer (CRC) demonstrates significant heterogeneity, and identifying effective biomarkers can advance the development of precision therapies. Emerging evidence implicates SUMOylation-regulated genes as pivotal regulators of cancer-associated pathways, yet their prognostic potential and therapeutic implications in CRC remain unexplored. A comprehensive analysis of SUMOylation-regulated gene expression, clinical and prognostic value in CRC was performed using transcriptomic data from TCGA-COAD and GEO datasets.
We identified 46 differentially expressed SUMOylation-regulated genes (33 upregulated, 13 downregulated) in CRC tumors versus normal tissues. Unsupervised clustering based on 216 SUMOylation-related genes stratified CRC patients into two distinct subtypes: SUMO Cluster 1 (aggressive phenotype, poor prognosis) and SUMO Cluster 2 (favorable prognosis). Cluster 1 exhibited advanced tumor stages (N-stage, p < 0. 05) and may present an immunosuppressive microenvironment marked by reduced HLA/immune checkpoint gene expression, while Cluster 2 showed enhanced anti-tumor immunity (activated dendritic cells, γδ T cells).
A five-gene SUMOylation-based prognostic signature (MC1R, LRRC4C, SAGE1, GJB6, HOXC5) was developed, and patients were divided into high Riskscore and low Riskscore groups with significant survival differences (log-rank p < 0. 05). The nomogram integrating risk score, age, and stage demonstrated robust predictive accuracy (C-index = 0. 763, AUC = 0. 728-0. 785). Nomoscore-high patients exhibited resistance to AMG. 706 and ABT. 888, suggesting therapeutic vulnerabilities.
These findings highlight SUMOylation plays a critical role in CRC heterogeneity, immune modulation, and prognosis, offering a novel biomarker system for risk stratification and personalized therapy.
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