Cancer doesn't just grow; it adapts to its environment to survive and spread. New research highlights how physical forces, like the pressure and stiffness of the surrounding tissue, act as signals for cancer cells. These mechanical signals are picked up by specific sensors on the cell surface, triggering a chain reaction that helps the cancer move and grow.
This process involves a cycle called a feedback loop. When cancer cells feel physical pressure, they change their metabolism to produce more lactate. This lactate then leads to a process called lactylation, which modifies proteins and DNA. This specific chemical change helps the cancer cells hide from the immune system, become more mobile, and develop resistance to certain treatments.
While this research is a review of biological mechanisms rather than a clinical trial, it identifies specific targets for future medicine. By understanding how these mechanical signals and metabolic changes work together, scientists can look for new ways to break the cycle and stop the cancer from spreading.
Common questions
How does physical pressure affect cancer?
Cancer cells sense physical signals like tissue stiffness and fluid pressure. These signals are picked up by sensors on the cell surface. This process triggers a change in how the cell uses energy, leading to a buildup of lactate which helps the cancer spread and become more resistant to treatment.
What is lactylation and why does it matter?
Lactylation is a process where lactate (a byproduct of metabolism) modifies proteins and DNA. In cancer, this specific modification activates programs that help the tumor evade the immune system, move more easily, and resist medical treatments. It is a key part of the feedback loop that fuels cancer growth.
Does this mean there are new treatments available now?
This research identifies potential targets for future therapies, such as enzymes that modify lactylation or pathways that sense mechanical signals. However, because this was a review of biological mechanisms, it does not provide data on specific new drugs or clinical trial results for patients.
