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单细胞技术揭示肿瘤细胞与免疫细胞间的串扰:驱动免疫信号转导及炎症介导的结直肠癌肿瘤微环境中的心脏功能障碍

Single-cell technology reveals the crosstalk between tumor cells and immune cells: driving immune signal transduction and inflammation-mediated cardiac dysfunction in the tumor microenvironment of colorectal cancer.

作者信息

Nie Wenyang, Zhang Wangzheqi, Xiahou Zhikai, Meng Yuxuan, Liu Yuhang, Zhang Jingwen, Wang Zhen, Wang Yong

机构信息

First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.

Naval Medical University, Shanghai, China.

出版信息

Front Immunol. 2025 Aug 6;16:1637144. doi: 10.3389/fimmu.2025.1637144. eCollection 2025.

Abstract

BACKGROUND

Colorectal cancer (CRC) is a heterogeneous illness influenced by intricate tumor-immune interactions and characterized by a dismal prognosis. Macrophage-mediated immunological signaling facilitates tumor proliferation and may associate inflammation in the tumor microenvironment (TME) of CRC with negative outcomes. Notwithstanding therapeutic advancements, resistance to treatment remains a significant obstacle. scRNA-seq offers comprehensive insights into the immune signaling network and immunological dynamics inside the CRC's TME.

METHODS

We integrated scRNA-seq data from GEO with extensive RNA-seq data from TCGA to elucidate immunological signaling and dynamic cellular variation in the TME of CRC. The analyses encompassed quality control via Seurat, InferCNV, Monocle, CellChat, and SCENIC, differential gene expression, inference of copy number variation (CNV), pseudo time trajectories, and intercellular communication. Prognostic modeling was conducted using Cox regression and LASSO. Immune infiltration and drug sensitivity were evaluated by CIBERSORT, ESTIMATE, xCell, TIDE, and pRRophetic. Functional validation encompassed siRNA knockdown, qRT-PCR, Western blot analysis, and cellular assessment in CRC cell lines.

RESULTS

We discovered four categories of tumor cells exhibiting variations in cell cycle, stemness, and differentiation. The subpopulation exhibited a heightened dynamic cell state and engaged with macrophages via the MIF-(CD74+CD44) axis to facilitate immunological signaling. is a crucial transcription factor in this fraction, and its knockdown impedes CRC cell proliferation, motility, and invasion. The cancer model utilizing the TCs subpopulation (MTRS) successfully classified patient survival and linked with immune infiltration patterns and medication responses. Enrichment analysis revealed tumor-promoting and immunological signaling networks. Correlation scores suggest that this subpopulation may be linked to inflammation and immunosuppression inside the TME.

CONCLUSION

Our research indicates that the C2 TCs subpopulation is a key driver of immune signal transduction in CRC TME, which may induce inflammatory responses through interaction with macrophages, thereby leading to adverse consequences such as cardiac dysfunction. represents a viable target for immunotherapy, and our cancer model derived from this subpopulation offers prognostic significance and direction for immunotherapeutic treatments.

摘要

背景

结直肠癌(CRC)是一种异质性疾病,受复杂的肿瘤-免疫相互作用影响,预后不佳。巨噬细胞介导的免疫信号传导促进肿瘤增殖,并可能使CRC肿瘤微环境(TME)中的炎症与不良预后相关联。尽管治疗取得了进展,但治疗耐药性仍然是一个重大障碍。单细胞RNA测序(scRNA-seq)为CRC的TME内的免疫信号网络和免疫动力学提供了全面的见解。

方法

我们将来自基因表达综合数据库(GEO)的scRNA-seq数据与来自癌症基因组图谱(TCGA)的广泛RNA-seq数据整合,以阐明CRC的TME中的免疫信号传导和动态细胞变化。分析包括通过Seurat、InferCNV、Monocle、CellChat和SCENIC进行质量控制、差异基因表达、拷贝数变异(CNV)推断、伪时间轨迹分析和细胞间通讯分析。使用Cox回归和套索回归进行预后建模。通过CIBERSORT、ESTIMATE、xCell、TIDE和pRRophetic评估免疫浸润和药物敏感性。功能验证包括在CRC细胞系中进行小干扰RNA(siRNA)敲低、定量逆转录聚合酶链反应(qRT-PCR)、蛋白质免疫印迹分析和细胞评估。

结果

我们发现了四类在细胞周期、干性和分化方面存在差异的肿瘤细胞。该亚群表现出更高的动态细胞状态,并通过巨噬细胞移动抑制因子-(CD74+CD44)轴与巨噬细胞相互作用,以促进免疫信号传导。 是该部分中的一个关键转录因子,其敲低会阻碍CRC细胞的增殖、迁移和侵袭。利用该肿瘤细胞亚群(MTRS)的癌症模型成功地对患者生存进行了分类,并与免疫浸润模式和药物反应相关联。富集分析揭示了肿瘤促进和免疫信号网络。相关性评分表明,该亚群可能与TME内的炎症和免疫抑制有关。

结论

我们的研究表明,C2肿瘤细胞亚群是CRC TME中免疫信号转导的关键驱动因素,其可能通过与巨噬细胞相互作用诱导炎症反应,从而导致诸如心脏功能障碍等不良后果。 代表了一种可行的免疫治疗靶点,并且我们从该亚群衍生的癌症模型为免疫治疗提供了预后意义和方向。

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