Chen Hui, Yin Jingyang, Wang Xianxing, Xia Renpei, Qin Fanbo, Li Zhuo, Yang Jiali, Liu Changjiang, Guo Shixiang, Wang Huaizhi
University of Chinese Academy of Sciences (UCAS) Chongqing School, Chongqing Medical University, Chongqing, China.
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China.
Discov Oncol. 2025 Jun 8;16(1):1031. doi: 10.1007/s12672-025-02838-z.
Pancreatic ductal adenocarcinoma (PDAC) is characterized by significant heterogeneity and a poor prognosis. M2 macrophages (M2) play a crucial role in the microenvironment of PDAC, yet their exact functional significance remains poorly understood. This study sought to explore the potential communication and clinical implications of M2 in PDAC. The differentiation pathway of M2 and their interaction with malignant PDAC cells were analyzed using single-cell RNA sequencing (scRNA-seq). Additionally, a prognostic signature related to M2 marker genes was constructed and analyzed using bulk RNA sequencing. Three distinct differentiation states of M2 were characterized, each exhibiting unique transcription factor expression profiles and signaling pathway activations. Potential intercellular communication between M2, PDAC malignant cells, and fibroblasts was initially observed at the level of computer analysis. The prognostic model was identified through the LASSO algorithm. Patients stratified by risk level displayed significant variations in prognostic indicators such as signaling pathway activity, gene mutation frequency, immune cell infiltration, and drug sensitivity. These findings are of course preliminary, and future in vitro/in vivo experiments will be needed to knock out these signature genes or ligand-receptor pairs of genes in macrophages to validate their role in macrophage development.
胰腺导管腺癌(PDAC)具有显著的异质性且预后较差。M2巨噬细胞(M2)在PDAC的微环境中起关键作用,但其确切的功能意义仍知之甚少。本研究旨在探讨M2在PDAC中的潜在相互作用及临床意义。利用单细胞RNA测序(scRNA-seq)分析了M2的分化途径及其与PDAC恶性细胞的相互作用。此外,构建了与M2标记基因相关的预后特征,并使用批量RNA测序进行分析。确定了M2的三种不同分化状态,每种状态都表现出独特的转录因子表达谱和信号通路激活。最初在计算机分析水平上观察到M2、PDAC恶性细胞和成纤维细胞之间潜在的细胞间通讯。通过LASSO算法确定了预后模型。按风险水平分层的患者在信号通路活性、基因突变频率、免疫细胞浸润和药物敏感性等预后指标上表现出显著差异。这些发现当然是初步的,未来需要进行体外/体内实验,敲除巨噬细胞中的这些特征基因或基因的配体-受体对,以验证它们在巨噬细胞发育中的作用。
Cancer Cell Int. 2021-10-30
Nat Rev Clin Oncol. 2023-5
Nat Rev Cancer. 2023-4
Nat Rev Drug Discov. 2022-11
Signal Transduct Target Ther. 2021-2-23