bioRxivCancer BiologyPreprint
Collagen remodeling dictates pancreatic cancer bioenergetics and outcome through DDR1 activation or degradation
H. Su, F. Yang, R. Fu, B. Trinh, N. Sun, J. Liu, A. Kumar, J. Baglieri, J. Siruno, S. Dozier, A. Nair, A. Filliol, S. B. Rosenthal, J. Santini, C. M. Metallo, A. Molina, R. F. Schwabe, A. M. Lowy, D. Brenner, B. Sun, M. Karin
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a highly desmoplastic, aggressive cancer that frequently progresses by liver metastasis1. Cancer-associated fibroblasts (CAF), extracellular matrix (ECM), and type I collagen (Col I) support2-5 or restrain PDAC progression and may impede blood supply and nutrient availability6-8. The dichotomous role of the stroma in PDAC, and the mechanisms through which it influences patient survival and enables desmoplastic cancers escape nutrient limitation remain poorly understood. Here we show that matrix metalloprotease (MMP)-cleaved or intact Col I (cCol I and iCol I, respectively) exert opposing effects on PDAC bioenergetics, macropinocytosis (MP), tumor growth and liver metastasis. While cCol I activates DDR1 (discoidin domain receptor-1)-NF-{kappa}B-p62-NRF2 signaling to promote PDAC growth, iCol I triggers DDR1 degradation and restrains PDAC growth. Patients whose tumors are enriched in iCol I and low in DDR1 and NRF2 have improved median survival compared to those enriched in cCol I, DDR1 and NRF2. Inhibition of DDR1-stimulated NF-{kappa}B or mitochondrial biogenesis blocked tumorigenesis in wildtype mice but not in mice expressing MMP-resistant Col I. In summary, the diverse effects of tumor stroma on PDAC growth, metastasis, and patient survival are mediated through the Col I-DDR1-NF-{kappa}B-NRF2-mitochondrial biogenesis pathway, presenting multiple new opportunities for PDAC therapy.
- organism: human
- assay: proteomics
- assay: metabolomics
- research focus: cancer & tumor microenvironment
- research focus: cell signaling & trafficking
- research focus: cell type annotation
- approach: experimental assay
- approach: mechanistic / dynamical model
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