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Targeting strategy may open door to better cancer drug delivery

07.06.2018

Bioengineers may be able to use the unique mechanical properties of diseased cells, such as metastatic cancer cells, to help improve delivery of drug treatments to the targeted cells, according to a team of researchers at Penn State.

Many labs around the world are developing nanoparticle-based, drug delivery systems to selectively target tumors. They rely on a key-and-lock system in which protein keys on the surface of the nanoparticle click into the locks of a highly expressed protein on the surface of the cancer cell. The cell membrane then wraps around the nanoparticle and ingests it. If enough of the nanoparticles and their drug cargo is ingested, the cancer cell will die.


In the transition from benign to malignant, cancer cells transition from stiff to soft. Mechanotargeting harnesses mechanics to improve targeting efficiency of nanparticle-based therapeutic agents.

Credit: Zhang lab/vecteezy.com

The adhesive force of the lock and key is what drives the nanoparticle into the cell, said Sulin Zhang, professor of engineering science and mechanics.

"It is almost universal that whenever there is a driving force for a process, there always is a resistive force," Zhang said. "Here, the driving force is biochemical -- the protein-protein interaction."

The resistive force is the mechanical energy cost required for the membrane to wrap around the nanoparticle. Until now, bioengineers only considered the driving force and designed nanoparticles to optimize the chemical interactions, a targeting strategy called "chemotargeting." Zhang believes they should also take into account the mechanics of the cells to design nanoparticles to achieve enhanced targeting, which forms a new targeting strategy called "mechanotargeting."

"These two targeting strategies are complementary; you can combine chemotargeting and mechanotargeting to achieve the full potential of nanoparticle-based diagnostic and therapeutic agents," Zhang said. "The fact is that targeting efficiency requires a delicate balance between driving and resistive forces. For instance, if there are too many keys on the nanoparticle surface, even though these keys only weakly interact with the nonmatching locks on normal cells, these weak, off-target interactions may still provide enough adhesion energy for the nanoparticles to penetrate the cell membrane and kill the healthy cells."

On the other hand, if the adhesion energy is not high enough, the nanoparticle won't get into the cell.

In "Mechanotargeting: Mechanics-dependent Cellular Uptake of Nanoparticles," published online ahead of print in the journal Advanced Materials, Zhang and the team report the results of experiments on cancer cells grown on hydrogels of variable stiffness. On soft hydrogels the cells remained cohesive and benign and experienced a nearly constant stress that limited the uptake of the nanoparticles. But on stiff hydrogels the cells became metastatic and adopted a three-dimensional shape, offering more surface area for nanoparticles to adhere, and became less stressed. Under this condition, the cells took up five times the number of nanoparticles as the benign cells.

"The nanoparticles are fluorescent, so we count the number of nanoparticles that get into the cell by the fluorescence intensity. We found that in the malignant cells the intensity is five times higher," Zhang said. "That proves that mechanotargeting works."

###

First author on the Advanced Materials paper is Qiong Wei, a doctoral student in Zhang's group. Other coauthors are former doctoral students Changjin Huang and Yao Zhang, and current doctoral students Tiankai Zhao and Peng Zhao, also in Zhang's group. Peter Butler, professor of biomedical engineering, Penn State, also contributed.

Support for this work was provided by the National Science Foundation and a National Institutes of Health grant to Butler and Zhang.

Media Contact

Walt Mills
wem12@psu.edu
814-865-0285

 @penn_state

http://live.psu.edu 

Walt Mills | EurekAlert!
Further information:
http://dx.doi.org/10.1002/adma.201707464

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