Related Experiment Video
Updated: May 19, 2026
Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
Published on: July 3, 2025
Integrative Mendelian Randomization and Multiomics Analysis Identifies CAF-Derived Complement Factor B as a
Hong Xiang1, Na Ren2, Ting Wang3
1Institute of Pharmacy (Institute of TCM Health Industrial Technology), Shandong University of Traditional Chinese Medicine, Jinan, China, sdutcm.edu.cn.
Background:
Complement factor B (CFB), a key component of the alternative complement pathway, has been implicated in tumor-related inflammation; however, its causal role and therapeutic relevance in breast cancer remain unclear. By integrating genetic epidemiology, multiomics transcriptomics analyses, and AI-assisted drug prediction, we aimed to clarify the biological and clinical significance of CFB in breast cancer.
Results:
Mendelian randomization analysis suggested a potential causal association between circulating CFB levels and breast cancer risk (OR = 1.048, 95% CI: 1.018-1.078, p = 0.001). Single-cell transcriptomic analysis identified cancer-associated fibroblasts (CAFs) as the primary cellular source of CFB within the tumor microenvironment. High CFB expression was significantly associated with advanced clinical stage, lymph node metastasis, and poor overall survival and was confirmed as an independent prognostic factor (HR = 2.35, 95% CI: 1.55-3.56, p < 0.001). Tumors with elevated CFB displayed immunosuppressive characteristics, including increased regulatory T cells and M2 macrophages, higher TIDE scores, and strong correlations with immune checkpoint molecules. AI-based drug sensitivity prediction and validation analyses revealed that CFB-high tumors exhibited enhanced sensitivity to PARP inhibitors. Additional mutation-related bioinformatic analyses showed that CFB-mutated tumors were associated with higher TMB, increased MSI-H proportion, an immunosuppressive microenvironment, and enhanced predicted sensitivity to PARP inhibitors. Mechanistically, CFB expression strongly correlated with PARP1 (R = 0.77), and CAF-derived CFB enhanced olaparib-induced DNA damage in TNBC models.
Conclusion:
Through integrative traditional and AI-driven approaches, this study supports CFB as a genetically associated risk protein with potential causal relevance and as a prognostic and therapeutic biomarker at both the expression and mutation levels in breast cancer. These findings provide a mechanistic and translational basis for precision therapy targeting CFB-overexpressing tumors.
