Unlocking the Role of Age-Related Changes to Fibroblasts in Pancreatic Cancer.

Pancreatic cancer prevalence increases with age, and disease prognosis is poorer in older individuals. The increased prevalence is driven, undoubtedly, by the multistep accumulation of oncogenic mutations in cancer cells with age. However, fibroblasts are major constituents and key players in pancreatic cancer, and they too undergo age-related changes that may contribute to disease severity. In this issue of Cancer Research, Zabransky and colleagues set out to dissect the effect of age-related changes in pancreatic fibroblasts on pancreatic ductal adenocarcinoma growth and metastasis. They discovered that aged fibroblasts secrete GDF-15, which in turn activates AKT signaling and accelerates tumor progression. These findings provide a mechanistic role for aged fibroblasts in pancreatic cancer, underpinning the importance of normal physiologic processes in tumor progression. See related article by Zabransky et al., p. 1221.

The tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts.

The tumor microenvironment (TME) is comprised of non-malignant cells that interact with each other and with cancer cells, critically impacting cancer biology. The TME is complex, and understanding it requires simplifying approaches. Here we provide an experimental-mathematical approach to decompose the TME into small circuits of interacting cell types. We find, using female breast cancer single-cell-RNA-sequencing data, a hierarchical network of interactions, with cancer-associated fibroblasts (CAFs) at the top secreting factors primarily to tumor-associated macrophages (TAMs). This network is composed of repeating circuit motifs. We isolate the strongest two-cell circuit motif by culturing fibroblasts and macrophages in-vitro, and analyze their dynamics and transcriptomes. This isolated circuit recapitulates the hierarchy of in-vivo interactions, and enables testing the effect of ligand-receptor interactions on cell dynamics and function, as we demonstrate by identifying a mediator of CAF-TAM interactions - RARRES2, and its receptor CMKLR1. Thus, the complexity of the TME may be simplified by identifying small circuits, facilitating the development of strategies to modulate the TME.