S100A13-Driven Interaction Between Pancreatic Adenocarcinoma Cells and Cancer-Associated Fibroblasts Promotes Tumor Progression through Calcium Signaling
Bioinformatic analysis was employed to predict the pathogenic potential of cancer-associated fibroblasts (CAFs) and S100A13. Stable S100A13 knockdown CAFs were generated using a short hairpin RNA system.