Lymph Node Metastasis-Associated Spatiotemporal Mapping of the TFF3-Linked Niche in Breast Cancer: Integrating Radiogenomic Signatures with Immune-Ecosystem Remodeling
Dianqi Cai, Chao Zhu, Haoxuan Huang, Yuchen Cao, Gengxi Cai, Zijun Chen, Junjie Feng, Weiqi Zhang, Wenjun Mao, Jianguo Lai

TL;DR
This study identifies TFF3 as a key driver of metastasis in breast cancer, linking it to immune evasion and suggesting new treatment strategies based on TFF3 expression.
Contribution
The study introduces TFF3 as a central regulator of metastasis and immune evasion, validated through radiogenomic and multi-omics approaches.
Findings
TFF3 expression correlates with poor survival and resistance to PD-1 inhibitors in metastatic breast cancer.
TFF3 amplifies the MAPK–EMT axis and modulates immune checkpoints, promoting metastasis.
Pharmacological inhibition of MAPK signaling rescues the prometastatic TFF3 phenotype.
Abstract
Primary breast cancer (PBC) with axillary lymph node metastasis (ALNM+) is associated with distinct clinical outcomes, including reduced survival (The Cancer Genome Atlas/Foshan cohorts, P < 0.05) and an attenuated response to anti-programmed cell death protein 1 antibody/anti-programmed death-ligand 1 antibody (anti-PD-1/anti-PD-L1) therapy. Through ALNM-stratified single-cell RNA sequencing profiling, we identified 3 hallmark immune subsets in ALNM+ PBC: (a) proliferative MKI67+ T cells, (b) exhausted GZMA+ CD8+ T cells, and (c) CCL13/CXCL10/TOP2A+ macrophages. Cross-modal integration of metastasis–epithelial–mesenchymal transition (EMT) signatures with Mendelian colocalization analysis prioritized TFF3 as a central mechanistic regulator. We validated malignant-cell-specific TFF3 expression across pan-cancer single-cell profiles and in PBC lineages. Integration of Mendelian…
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Taxonomy
TopicsCancer Immunotherapy and Biomarkers · Single-cell and spatial transcriptomics · Radiomics and Machine Learning in Medical Imaging
