Cell stiffness may indicate whether tumours will invade

21 Oct 2019
Cell stiffness may indicate whether tumours will invade

Engineers at MIT and elsewhere have tracked the evolution of individual cells within an initially benign tumour, showing how the physical properties of those cells drive the tumour to become invasive, or metastatic.

The team carried out experiments with a human breast cancer tumour that developed in the lab.

As the tumour grew and amassed more cells over a period of about two weeks, the researchers observed that cells in the interior of the tumour were small and stiff, while the cells on the periphery were soft and more swollen.

These softer, peripheral cells were more apt to stretch beyond the tumour body, forming "invasive tips" that eventually broke away to spread elsewhere.

The researchers found that the cells at the tumour's edges were softer because they contained more water than those in the centre.

The cells in the centre of a tumour are surrounded by other cells that press inward, squeezing water out of the interior cells and into those cells at the periphery, through nanometer-sized channels between them called gap junctions.

"You can think of the tumour like a sponge," says Ming Guo, assistant professor of mechanical engineering at MIT. "When they grow, they build up compressive stresses inside the tumour, and that will squeeze the water from the core out to the cells on the outside, which will slowly swell over time and become softer as well - therefore they are more able to invade."

When the team treated the tumour to draw water out of peripheral cells, the cells became stiffer and less likely to form invasive tips.

Conversely, when they flooded the tumour with a diluted solution, the same peripheral cells swelled and quickly formed long, branchlike tips that invaded the surrounding environment.

The results, which the team reports in the journal Nature Physics, point to a new route for cancer therapy, focused on changing the physical properties of cancer cells to delay or even prevent a tumour from spreading.

Guo's co-authors include lead author and MIT postdoc Yu Long Han, along with Guoqiang Xu, Zichen Gu, Jiawei Sun, Yukun Hao, Staish Kumar Gupta, Yiwei Li, and Wenhui Tang, from MIT; Adrian Pegoraro and Yuan Yuan of the Harvard John A. Paulson School of Engineering and Applied Sciences; Hui Li of the Chinese Academy of Sciences; Kaifu Li, Hua Kang, and Lianghong Teng of Capital Medical University in Beijing; and Jeffrey Fredberg of the Harvard T. H. Chan School of Public Health in Boston.

Scientists suspect that cancer cells that migrate from a main tumour are able to do so in part because of their softer, more pliable nature, enabling the cells to squeeze through the body's labrynthine vasculature and proliferate far from the initial tumour.

Past experiments have shown this soft, migratory nature in individual cancer cells, but Guo's team is the first to explore the role of cell stiffness in a whole, developing tumour.

"People have looked at single cells for a long time, but organisms are multicellular, three-dimensional systems," Guo says. "Each cell is a physical building block, and we're interested in how each single cell is regulating its own physical properties, as the cells develop into a tissue like a tumour or an organ."

The researchers used recently developed techniques to grow healthy human epithelial cells in 3D and transform them into a human breast cancer tumour in the lab.

Over the next week, the researchers watched as the cells multiplied and coalesced into a benign primary tumour that comprised several hundred individual cells. Several times throughout the week, the researchers infused the growing number of cells with plastic particles.

They then probed each individual cell's stiffness with optical tweezers, a technique in which researchers direct a highly focused laser beam at a cell.

In this case, the team trained a laser on a plastic particle within each cell, pinning the particle in place, then applying a slight pulse in a attempt to move the particle within the cell, much like using tweezers to pick an egg shell out from the surrounding yolk.

Guo says the degree to which researchers can move a particle gives them an idea for the stiffness of the surrounding cell: The more resistant the particle is to being moved, the stiffer a cell must be.

In this way, the researchers found that the hundreds of cells within a single benign tumour exhibit a gradient of stiffness as well as size.

The interior cells were smaller and stiffer, and the further the cells were from the core, the softer and larger they became.

They also became more likely to stretch out from the spherical primary tumour and form branches, or invasive tips.

To see whether altering cells' water content affects their invasive behaviour, the team added low-molecular-weight polymers to the tumour solution to draw water out from cells, and found that the cells shrank, became more stiff, and were less likely to migrate away from the tumour - a measure that delayed metastasis.

When they added water to dilute the tumour solution, the cells, particularly at the edges, swelled, became softer, and formed invasive tips more quickly.

As a last test, the researchers obtained a sample of a patient's breast cancer tumour and measured the size of every cell within the tumour sample.

They observed a gradient similar to what they found in their lab-derived tumour: Cells in the tumour's core were smaller than those closer to the periphery.

"We found this doesn't just happen in a model system - it's real," Guo says. "This means we may be able to develop some treatment based on the physical picture, to target cell stiffness or size to see if that helps. If you make the cells stiffer, they are less likely to migrate, and that could potentially delay invasion."

Perhaps one day, he says, clinicians may be able to look at a tumour and, based on the size and stiffness of cells, from the inside out, be able to say with some confidence whether a tumour will metastasise or not.

"If there is an established size or stiffness gradient, you can know this will cause trouble," Guo says. "If there's no gradient, you can maybe safely say it's fine."

Source: Massachusetts Institute of Technology