Background
Pancreatic ductal adenocarcinoma (PDAC) is a devastating metastatic disease for which better therapies are urgently needed. It highlights the need for an improved understanding of the biological features underlying the progression of PDACs. Macrophages significantly enhance tumorigenesis and development of pancreatic cancer. However, cellular reprogramming and phenotypic changes of macrophages during PDAC progression remain poorly understood, as well as the molecular mechanism underlying tumor-macrophage interactions.
Methods
Herein, we performed the computational analysis by combining scRNA-seq and TCGA RNA-seq datasets, through which we identified myeloid lineage and tumor cells as crucial mediators of intercellular communication networks and crosstalk in the tumor microenvironment.
Results
scRNA-seq analyses highlight the heterogeneity of macrophage with diverse phenotype and functionality. The SCENIC analysis indicated different cell states across the sub-clusters of macrophages through a reconstruction of regulatory networks, and cell trajectory analysis identified the tissue-resident macrophage and inflammatory monocyte as potential sources of tumor-associated macrophages. Furthermore, we uncovered several ligand-receptor pairs lining the tumor cells and macrophages. Among them, we found expression level of HBEGF-CD44, HBEGF-EGFR, LGALS9-CD44, LGALS9-MET, and GRN-EGFR correlated with poor outcome of patients.
Conclusion
Together, our findings deciphered the macrophage heterogeneity and detected a tumor environmental-specific gene expression program in macrophages of PDAC, which uncover a potential mechanism laying the tumor-promoting role of TAM. The ligand-receptor interactions identified would be potential biomarkers for anti-cancer targeted therapy.