空间多组学描绘胰腺癌中驱动代谢免疫重塑的CAF亚型梯度图谱

TL;DR - A spatial multi-omics study of pancreatic ductal adenocarcinoma identifies three cancer-associated fibroblast (CAF) states with distinct metabolic profiles and distances from tumors. The findings refine conventional CAF classifications and suggest more targeted stromal interventions, but remain largely associative.

• Spatial transcriptomics, spatial metabolomics, and tissue coordinates from six tumors defined CAF_C0, CAF_C1, and CAF_C2 states.
• CAF_C0 was associated with amino acids and small molecules, CAF_C1 with lipids and greater tumor distance, and CAF_C2 with tumor boundaries, hypoxia, inflammation, and extracellular-matrix remodeling.
• Multiplex immunofluorescence, independent metabolomics samples, and TCGA data partially supported the spatial patterns and linked CAF composition with survival and gemcitabine response.
• The analyses do not directly demonstrate metabolite transfer, causal immune suppression, chemotherapy resistance, or an independent clinical biomarker.