Wu Yunhao, Li Nu, Shang Jin, Jiang Jiazi, Liu Xiaoliang
Department of General Surgery, Shengjing Hospital of China Medical University, Pancreatic and Thyroid Ward, Shenyang, 110004, P. R. China.
Department of Breast surgery, The First Hospital of China Medical University, Shenyang, 110004, P.R. China.
Cell Biol Toxicol. 2025 Jan 3;41(1):21. doi: 10.1007/s10565-024-09950-w.
In this study, we identified cancer-associated fibroblast (CAF) molecular subtypes and developed a CAF-based prognostic model for breast cancer (BRCA). The heterogeneity of cancer-associated fibroblasts (CAFs) and their significant involvement in the advancement of BRCA were discovered employing single-cell RNA sequencing. Notably, we discovered that the RUNX1/SDC1 axis enhances BRCA cell invasion and metastasis. RUNX1 transcriptionally upregulates SDC1, which facilitates extracellular matrix remodeling and promotes tumor cell migration. This finding highlights the vital contribution of CAFs to the tumor microenvironment and provides new potential targets for therapeutic intervention. The predictive model showcased remarkable precision in anticipating patient outcomes and could guide personalized treatment strategies.
在本研究中，我们鉴定了癌症相关成纤维细胞（CAF）分子亚型，并开发了一种基于CAF的乳腺癌（BRCA）预后模型。利用单细胞RNA测序发现了癌症相关成纤维细胞（CAF）的异质性及其在BRCA进展中的重要作用。值得注意的是，我们发现RUNX1/SDC1轴增强了BRCA细胞的侵袭和转移。RUNX1转录上调SDC1，这有助于细胞外基质重塑并促进肿瘤细胞迁移。这一发现突出了CAF对肿瘤微环境的重要贡献，并为治疗干预提供了新的潜在靶点。该预测模型在预测患者预后方面表现出显著的准确性，并可指导个性化治疗策略。
