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促进巨噬细胞M2极化并预测预后的胰腺导管腺癌来源外泌体的转录组特征鉴定:S100A9揭示肿瘤进展

Identification of Transcriptomic Signatures of Pancreatic Ductal Adenocarcinoma-Derived Exosomes That Promote Macrophage M2 Polarization and Predict Prognosis: S100A9 Reveals Tumor Progression.

作者信息

Tan Siyuan, Tang Haodong, Zhang Zheng, Wang Yang, Li Haifeng, Shi Wenyuan, Ye Hao, Xie Peng, Zhou Jiahua

机构信息

Department of Surgery, School of Medicine, Southeast University, Nanjing, China.

Department of Hepato-Pancreatico-Biliary Surgery, Zhongda Hospital Southeast University, Nanjing, China.

出版信息

Clin Med Insights Oncol. 2024 Mar 19;18:11795549241239042. doi: 10.1177/11795549241239042. eCollection 2024.

Abstract

BACKGROUND

Exosomes play a role in intercellular communication and participate in the interaction between pancreatic ductal adenocarcinoma (PDAC) cells and immune cells. Macrophages can receive tumor cell-derived exosomes to polarize into M2-type macrophages, which can enhance the invasion and metastasis of pancreatic cancer, leading to poor prognosis. However, the mechanism by which pancreatic cancer cell-derived exosomes promote M2-type macrophages is still unclear.

METHODS

M2 macrophage-associated exosome-derived key module genes were identified by differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) analysis using exoRbase 2.0, The Cancer Genome Atlas (TCGA), and The International Cancer Genome Consortium (ICGC) databases. Multivariate Cox regression analysis was used to identify key prognostic genes and obtain regression coefficients to establish prognostic signature. Immune infiltration, tumor mutations, and GSEA among different risk groups were compared. exoRbase 2.0, Gene Expression Profiling Interactive Analysis 2 (GEPIA2), HPA, and TISCH2 databases were used to further analyze the expression pattern of S100A9 in pancreatic cancer. experiments, cell-derived exosome isolation, quantitative polymerase chain reaction (qPCR), western blot, flow cytometry analysis, cell transfection, transwell assay, and CCK-8 assay were applied to investigate the roles of S100A9 in macrophage M2 polarization and tumor progression.

RESULTS

The key genes of PDAC-derived exosomes promoting M2-type macrophage polarization were identified, and a risk score model was established. The risk score is related to the expression of common immune checkpoints, immune score, and stromal score, and the tumor mutational burden and biological function of high- and low-risk groups were also different. S100A9 was positively correlated with M2-type macrophage marker. In addition, scRNA-seq data from the TISCH2 database revealed that S100A9 is predominantly expressed in pancreatic cancer cells and mono/macrophage cells, suggesting that S100A9 in pancreatic cancer cells could be received by macrophages, thereby inducing macrophage polarization. , we used exosomes from BxPC-3 cell lines to coculture macrophages and found that macrophages were mainly polarized toward M2 type, which further promoted the proliferation and metastasis of PDAC.

CONCLUSIONS

Our study established a reliable risk score model for PDAC-derived exosomes and M2 macrophages, identified the important role of S100A9 in macrophage M2 polarization, which provides a new strategy for the diagnosis and treatment of PDAC, and strengthened the understanding of the mechanism of tumor development and metastasis.

摘要

背景

外泌体在细胞间通讯中发挥作用,并参与胰腺导管腺癌(PDAC)细胞与免疫细胞之间的相互作用。巨噬细胞可接收肿瘤细胞来源的外泌体并极化为M2型巨噬细胞,这可增强胰腺癌的侵袭和转移,导致预后不良。然而,胰腺癌细胞来源的外泌体促进M2型巨噬细胞极化的机制仍不清楚。

方法

使用exoRbase 2.0、癌症基因组图谱(TCGA)和国际癌症基因组联盟(ICGC)数据库,通过差异表达基因(DEG)和加权基因共表达网络分析(WGCNA)分析鉴定M2巨噬细胞相关的外泌体衍生关键模块基因。使用多变量Cox回归分析鉴定关键预后基因并获得回归系数以建立预后特征。比较不同风险组之间的免疫浸润、肿瘤突变和基因集富集分析(GSEA)。使用exoRbase 2.0、基因表达谱交互式分析2(GEPIA2)、人类蛋白质图谱(HPA)和肿瘤免疫单细胞图谱2(TISCH2)数据库进一步分析S100A9在胰腺癌中的表达模式。通过实验、细胞来源外泌体分离、定量聚合酶链反应(qPCR)、蛋白质免疫印迹、流式细胞术分析、细胞转染、Transwell实验和CCK-8实验研究S100A9在巨噬细胞M2极化和肿瘤进展中的作用。

结果

鉴定了PDAC来源的外泌体促进M2型巨噬细胞极化的关键基因,并建立了风险评分模型。风险评分与常见免疫检查点的表达、免疫评分和基质评分相关,高风险组和低风险组的肿瘤突变负担和生物学功能也不同。S100A9与M2型巨噬细胞标志物呈正相关。此外,来自TISCH2数据库的单细胞RNA测序(scRNA-seq)数据显示,S100A9主要在胰腺癌细胞和单核/巨噬细胞中表达,这表明胰腺癌细胞中的S100A9可被巨噬细胞接收,从而诱导巨噬细胞极化。我们使用BxPC-3细胞系的外泌体与巨噬细胞共培养,发现巨噬细胞主要极化为M2型,这进一步促进了PDAC的增殖和转移。

结论

我们的研究为PDAC来源的外泌体和M2巨噬细胞建立了可靠的风险评分模型,确定了S100A9在巨噬细胞M2极化中的重要作用,为PDAC的诊断和治疗提供了新策略,并加深了对肿瘤发生发展和转移机制的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f57/10952989/5b6fb998c84a/10.1177_11795549241239042-fig1.jpg

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