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解析胰腺导管腺癌中上皮细胞的异质性:对转移和免疫逃逸的影响

Deciphering the heterogeneity of epithelial cells in pancreatic ductal adenocarcinoma: implications for metastasis and immune evasion.

作者信息

Liu Jie, Li Hui, Lin Xiuyun, Xiong Jiani, Wu Guangfeng, Ding Lingyan, Lin Bin

机构信息

Department of Hepatopancreatobiliary Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.

Department of Orthodontics, Fujian Medical University Union Hospital, No. 29 of Xinquan Road, Gulou District, Fuzhou, 350001, China.

出版信息

World J Surg Oncol. 2025 Apr 16;23(1):144. doi: 10.1186/s12957-025-03793-3.

Abstract

OBJECTIVE

This study examines the cellular heterogeneity of epithelial cells within pancreatic ductal adenocarcinoma (PDAC) and their contributions to tumor progression, metastasis, and immunosuppressive interactions using single-cell RNA sequencing.

METHODS

Single-cell RNA-sequencing data from two datasets (GSE154778 and GSE158356) were integrated using the Harmony algorithm, followed by quality control, clustering, and differential gene expression analysis. Distinct subpopulations of epithelial cells were identified, and their gene expression profiles were analyzed. To assess the malignancy of these subpopulations, single-cell copy number variation (CNV) analysis and trajectory analysis were conducted. Additionally, intercellular communication was examined using the CellChat platform.

RESULTS

The analysis revealed pronounced heterogeneity among PDAC epithelial cells, with specific subpopulations exhibiting distinct roles in tumor proliferation, extracellular matrix remodeling, and metastatic dissemination. Subpopulations 4 and 6 were characterized by increased CNV levels and a more malignant phenotype, suggesting an enhanced capacity for metastasis. Single-cell trajectory analysis, along with CellChat, mapped the temporal evolution of epithelial cells, identifying key regulatory genes such as DCBLD2 and JUN. A prognostic model incorporating five key genes, including KLF6, was developed and demonstrated strong predictive accuracy for patient outcomes. Notably, KLF6 emerged as a critical prognostic marker associated with immune modulation, particularly through interactions with M2 macrophages.

CONCLUSION

The study highlights the pronounced heterogeneity of epithelial cells in PDAC and their distinct contributions to tumor progression, metastasis, and immune modulation. Through single-cell transcriptomic and CNV analyses, we identified epithelial subpopulations with varying malignant potentials and distinct interactions with the tumor microenvironment. Among these, KLF6 emerged as a key regulator associated with immune modulation and metastasis. Our findings emphasize the significance of epithelial cell heterogeneity in shaping pancreatic cancer progression. These insights provide a foundation for future investigations into novel prognostic markers and therapeutic strategies.

摘要

目的

本研究使用单细胞RNA测序技术,研究胰腺导管腺癌(PDAC)中上皮细胞的细胞异质性及其对肿瘤进展、转移和免疫抑制相互作用的贡献。

方法

使用Harmony算法整合来自两个数据集(GSE154778和GSE158356)的单细胞RNA测序数据,随后进行质量控制、聚类和差异基因表达分析。鉴定出上皮细胞的不同亚群,并分析其基因表达谱。为评估这些亚群的恶性程度,进行了单细胞拷贝数变异(CNV)分析和轨迹分析。此外,使用CellChat平台检查细胞间通讯。

结果

分析揭示了PDAC上皮细胞之间存在明显的异质性,特定亚群在肿瘤增殖、细胞外基质重塑和转移扩散中发挥着不同作用。亚群4和6的特征是CNV水平升高和更恶性的表型,表明其转移能力增强。单细胞轨迹分析与CellChat一起绘制了上皮细胞的时间演变,确定了关键调控基因,如DCBLD2和JUN。开发了一个包含五个关键基因(包括KLF6)的预后模型,该模型对患者预后显示出很强的预测准确性。值得注意的是,KLF6成为与免疫调节相关的关键预后标志物,特别是通过与M2巨噬细胞的相互作用。

结论

该研究突出了PDAC中上皮细胞的明显异质性及其对肿瘤进展、转移和免疫调节的独特贡献。通过单细胞转录组和CNV分析,我们确定了具有不同恶性潜能以及与肿瘤微环境有不同相互作用的上皮亚群。其中,KLF6成为与免疫调节和转移相关的关键调节因子。我们的研究结果强调了上皮细胞异质性在塑造胰腺癌进展中的重要性。这些见解为未来对新型预后标志物和治疗策略的研究奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16d1/12004766/679507637538/12957_2025_3793_Fig1_HTML.jpg

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