Heterogenous cancer-associated fibroblasts related tumor microenvironment marked by CD10/KLF4/TIAM1 were identified in pancreatic adenocarcinoma by integrated transcriptomics

肿瘤微环境 癌症研究 胰腺癌 转录组 恶性肿瘤 生物 癌症 癌相关成纤维细胞 腺癌 病理 医学 基因 基因表达 遗传学 生物化学 肿瘤细胞
作者
Yu Wan,Qiong Hu,Kai Sun,Jing Shi,Limei Liu,Xiangsong Zhang,Jianjun Huang,Chulan Gong,Jinting Liu,Haijiu Wang,Yan Jun
出处
期刊:Frontiers in Immunology [Frontiers Media]
卷期号:16: 1557698-1557698 被引量:4
标识
DOI:10.3389/fimmu.2025.1557698
摘要

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by a dense and heterogeneous tumor microenvironment (TME) composed of various cancer-associated fibroblasts (CAFs). In this study, we explored the composition and proportions of CAF subtypes within the PDAC TME and identified three distinct CAF-related TME subtypes: iCAF-rich, myCAF-rich, and PSC-rich. We observed significant heterogeneity in CAF populations across different patients, which correlated with patient prognosis and the mechanical and fibrotic properties of the TME. Our analysis revealed that these CAF subtypes exhibit distinct gene expression profiles, with the myCAF-rich subtype showing upregulation of hypoxia- and glycolysis-related genes, such as LDHA. Furthermore, gene set and survival analyses demonstrated that specific CAF subtypes harbor unique protective and risk factors, which were non-overlapping between the subtypes. These findings suggest that the heterogeneity of CAF subtypes plays a critical role in PDAC progression and therapeutic response. By utilizing multiplex immunohistochemistry and spatial transcriptomics, we also identified key CAF subpopulations, such as iCAF_17, iCAF_19, and myCAF_12, which were found to interact closely with tumor cells and macrophages. In chemotherapy-treated patients, myCAFs were positioned at the tumor boundary, potentially acting as a barrier to tumor invasion. This study provides novel insights into CAF-related TME subtypes, offering a foundation for future therapeutic strategies targeting CAFs in PDAC.
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