Department of colorectal surgery, Tianjin Union Medical Center, Tianjin, 300122, China.
Tianjin Institute of Coloproctology, Tianjin, 300122, China.
Sci Rep. 2024 Nov 1;14(1):26361. doi: 10.1038/s41598-024-77248-2.
This study develops a prognostic model to predict metastasis and prognosis in colorectal cancer liver metastases by identifying distinct macrophage subsets. Using scRNA-seq data from primary colorectal cancer and liver metastases, we dissected the cellular landscape to find unique macrophage subpopulations, particularly EEF1G + macrophages, which were prevalent in liver metastases. The study leveraged data from GSE231559, TCGA, and GEO databases to construct an 8-gene risk model named EMGS, based on the EEF1G + macrophage gene signature. Patients were divided into high-risk and low-risk groups using the median EMGS score, with the high-risk group showing significantly worse survival. This group also demonstrated upregulated pathways associated with tumor progression, such as epithelial-mesenchymal transition and angiogenesis, and downregulated metabolic pathways. Moreover, the high-risk group presented an immunosuppressive microenvironment, with a higher TIDE score indicating lower effectiveness of immunotherapy. The study identifies potential drugs targeting the high-risk group, suggesting therapeutic avenues to improve survival. Conclusively, the EMGS score identifies colorectal cancer patients at high risk of liver metastases, highlighting the role of specific macrophage subsets in tumor progression and providing a basis for personalized treatment strategies.
本研究通过鉴定不同的巨噬细胞亚群，开发了一种预测结直肠癌肝转移转移和预后的预后模型。使用来自原发性结直肠癌和肝转移的 scRNA-seq 数据，我们剖析了细胞景观，以发现独特的巨噬细胞亚群，特别是在肝转移中普遍存在的 EEF1G+巨噬细胞。该研究利用 GSE231559、TCGA 和 GEO 数据库中的数据，根据 EEF1G+巨噬细胞基因特征构建了一个名为 EMGS 的 8 基因风险模型。患者根据 EMGS 评分的中位数分为高风险和低风险组，高风险组的生存明显更差。该组还表现出与肿瘤进展相关的上调途径，如上皮-间充质转化和血管生成，以及下调的代谢途径。此外，高风险组表现出免疫抑制的微环境，较高的 TIDE 评分表明免疫治疗的效果较低。该研究确定了针对高风险组的潜在药物，为提高生存率提供了治疗途径。总之，EMGS 评分确定了结直肠癌患者肝转移的高风险，突出了特定巨噬细胞亚群在肿瘤进展中的作用，并为个性化治疗策略提供了基础。
