Cancer associated fibroblast FAK regulates malignant cell metabolism.
Embargo End Date
ICR Authors
Authors
Demircioglu, F
Wang, J
Candido, J
Costa, ASH
Casado, P
de Luxan Delgado, B
Reynolds, LE
Gomez-Escudero, J
Newport, E
Rajeeve, V
Baker, A-M
Roy-Luzarraga, M
Graham, TA
Foster, J
Wang, Y
Campbell, JJ
Singh, R
Zhang, P
Schall, TJ
Balkwill, FR
Sosabowski, J
Cutillas, PR
Frezza, C
Sancho, P
Hodivala-Dilke, K
Wang, J
Candido, J
Costa, ASH
Casado, P
de Luxan Delgado, B
Reynolds, LE
Gomez-Escudero, J
Newport, E
Rajeeve, V
Baker, A-M
Roy-Luzarraga, M
Graham, TA
Foster, J
Wang, Y
Campbell, JJ
Singh, R
Zhang, P
Schall, TJ
Balkwill, FR
Sosabowski, J
Cutillas, PR
Frezza, C
Sancho, P
Hodivala-Dilke, K
Document Type
Journal Article
Date
2020-03-10
Date Accepted
2020-02-18
Abstract
Emerging evidence suggests that cancer cell metabolism can be regulated by cancer-associated fibroblasts (CAFs), but the mechanisms are poorly defined. Here we show that CAFs regulate malignant cell metabolism through pathways under the control of FAK. In breast and pancreatic cancer patients we find that low FAK expression, specifically in the stromal compartment, predicts reduced overall survival. In mice, depletion of FAK in a subpopulation of CAFs regulates paracrine signals that increase malignant cell glycolysis and tumour growth. Proteomic and phosphoproteomic analysis in our mouse model identifies metabolic alterations which are reflected at the transcriptomic level in patients with low stromal FAK. Mechanistically we demonstrate that FAK-depletion in CAFs increases chemokine production, which via CCR1/CCR2 on cancer cells, activate protein kinase A, leading to enhanced malignant cell glycolysis. Our data uncover mechanisms whereby stromal fibroblasts regulate cancer cell metabolism independent of genetic mutations in cancer cells.
Citation
Nature Communications, 2020, 11 (1), pp. 1290 -
Source Title
Nature Communications
Publisher
NATURE PUBLISHING GROUP
ISSN
2041-1723
eISSN
2041-1723
2041-1723
2041-1723
2041-1723
2041-1723
2041-1723
2041-1723
Collections
Research Team
Genomics & evolut dynam