Zou Jun, Zhang Jingyao, Li Yu, Yuan Baowen, Wang Yuanyi, Qi Yalong, Wang Qian, Qin Wan, Yuan Xianglin, Xu Binghe
Department of Medical Oncology, National Clinical Research Center for Cancer, Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
State Key Laboratory of Molecular Oncology, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Cancer Cell Int. 2025 Jul 11;25(1):259. doi: 10.1186/s12935-025-03867-y.
Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by limited treatment options and poor prognosis. Recent evidence highlights the crucial role of cancer-associated fibroblasts (CAFs) in TNBC progression, yet their molecular characteristics remain incompletely understood. In this study, we performed a comprehensive analysis combining bioinformatics approaches with experimental validation to investigate CAF-related genes in TNBC. Using weighted gene co-expression network analysis (WGCNA) of TNBC samples from TCGA and METABRIC datasets, we identified 185 CAF-related genes significantly associated with extracellular matrix organization and TGF-β signaling pathways. Through rigorous statistical modeling, we developed a 3-gene prognostic signature (CERCAM, JAM3, PLAU) that effectively stratified TNBC patients into high- and low-risk groups with distinct survival outcomes. Importantly, we validated the functional role of PLAU, one of the signature genes, through in vitro and in vivo experiments. Results showed that CAF-derived PLAU played key role in the malignant behaviors of TNBC. Our findings provide new insights into CAF-mediated TNBC progression and suggest potential stromal targets for therapeutic intervention.
三阴性乳腺癌(TNBC)是一种侵袭性亚型,其特征在于治疗选择有限且预后不良。最近的证据突出了癌症相关成纤维细胞(CAF)在TNBC进展中的关键作用,但其分子特征仍未完全了解。在本研究中,我们结合生物信息学方法与实验验证进行了全面分析,以研究TNBC中与CAF相关的基因。使用来自TCGA和METABRIC数据集的TNBC样本进行加权基因共表达网络分析(WGCNA),我们鉴定出185个与CAF相关的基因,这些基因与细胞外基质组织和TGF-β信号通路显著相关。通过严格的统计建模,我们开发了一种三基因预后特征(CERCAM、JAM3、PLAU),可有效地将TNBC患者分为具有不同生存结果的高风险和低风险组。重要的是,我们通过体外和体内实验验证了特征基因之一PLAU的功能作用。结果表明,CAF衍生的PLAU在TNBC的恶性行为中起关键作用。我们的研究结果为CAF介导的TNBC进展提供了新的见解,并提出了潜在的基质治疗干预靶点。