We are aware of an issue with certificate availability and are working diligently with the vendor to resolve. The vendor has indicated that, while users are unable to directly access their certificates, results are still being stored. Certificates will be available once the issue is resolved. Thank you for your patience.

(77g) Metastatic Cancer Cells Optimize Space-Searching

Huda, S., Northwestern University
Soh, S., Northwestern University
Pilans, D., Northwestern University
Tretiakov, K., Northwestern University
Kandere-Grzybowska, K., Northwestern University
Grzybowski, B., Northwestern University

Cell motility is integral to cancer metastasis. Developing new therapeutics to target the motility process requires the study of the molecular processes involved in cell motility. We have developed a novel class of cell biology tools for the quantification of cytoskeletal organization and dynamics in populations of cancerous cells with low variability. Anisotropic Solid Microetching (ASoMiC) was used to constrain cells onto transparent linear tracks. This methodology creates a micro-environment resembling in vivo conditions and is conducive for studying cell motility in molecular detail.

By constraining cells to 1-D tracks we found that metastatic cells were “superdiffusive” vs. “diffusive” non-metastatic cells. This reveals that metastatic cells are moving faster and more persistently than non-metastatic cells. More importantly, the superdiffusive behavior of metastatic cells arises from executing Lévy walks – which is an optimal search strategy.

Our study highlights that metastatic and non-metastatic cells are intrinsically different in their motility strategy. By understanding these differences we hope to identify new therapeutic targets for the treatment of metastatic cancer.