Tumor mechanics and metabolic dysfunction

JC Tung, JM Barnes, SR Desai, C Sistrunk… - Free Radical Biology …, 2015 - Elsevier
JC Tung, JM Barnes, SR Desai, C Sistrunk, MW Conklin, P Schedin, KW Eliceiri, PJ Keely…
Free Radical Biology and Medicine, 2015Elsevier
Desmosplasia is a characteristic of most solid tumors and leads to fibrosis through abnormal
extracellular matrix (ECM) deposition, remodeling, and posttranslational modifications. The
resulting stiff tumor stroma not only compromises vascular integrity to induce hypoxia and
impede drug delivery, but also promotes aggressiveness by potentiating the activity of key
growth, invasion, and survival pathways. Intriguingly, many of the protumorigenic signaling
pathways that are mechanically activated by ECM stiffness also promote glucose uptake and …
Abstract
Desmosplasia is a characteristic of most solid tumors and leads to fibrosis through abnormal extracellular matrix (ECM) deposition, remodeling, and posttranslational modifications. The resulting stiff tumor stroma not only compromises vascular integrity to induce hypoxia and impede drug delivery, but also promotes aggressiveness by potentiating the activity of key growth, invasion, and survival pathways. Intriguingly, many of the protumorigenic signaling pathways that are mechanically activated by ECM stiffness also promote glucose uptake and aerobic glycolysis, and an altered metabolism is a recognized hallmark of cancer. Indeed, emerging evidence suggests that metabolic alterations and an abnormal ECM may cooperatively drive cancer cell aggression and treatment resistance. Accordingly, improved methods to monitor tissue mechanics and metabolism promise to improve diagnostics and treatments to ameliorate ECM stiffening and elevated mechanosignaling may improve patient outcome. Here we discuss the interplay between ECM mechanics and metabolism in tumor biology and suggest that monitoring these processes and targeting their regulatory pathways may improve diagnostics, therapy, and the prevention of malignant transformation.
Elsevier