3D Coiling at the Protrusion Tip: New Perspectives on How Cancer Cells Sense Their Fibrous Surroundings

Cancer metastasis, the spread of cancer from the primary site to distant regions in the body, is the major cause of cancer mortality, accounting for almost 90% of cancer related deaths. During metastasis, cancer cells from the primary tumor initially probe the surrounding fibrous tumor microenvironment (TME) prior to detaching and subsequently migrating towards the blood vessels for further dissemination. It has widely been acknowledged that the biophysical cues provided by the fibrous TME greatly facilitate the metastatic cascade. Consequently, there has been a tremendous wealth of work devoted towards elucidating different modes of cancer cell migration. However, our knowledge of how cancer cells at the primary tumor site initially sense their fibrous surroundings prior to making the decision to detach and migrate remains in infancy. In part, this is due to the lack of a fibrous in vitro platform that allows for precise, repeatable manipulation of fiber characteristics. In this study, we use the non-electrospinning, Spinneret based Tunable Engineered Parameters (STEP) technique to manufacture suspended nanofiber networks with exquisite control on fiber dimensions and network architecture and use these networks to investigate how single cancer cells biophysically sense fibers mimicking in vivo dimensions. Using high spatiotemporal resolution imaging (63x magnification/1-second imaging interval), we report for the first time, that cancer cells sense individual fibers by coiling (i.e. wrapping around the fiber axis) at the tip of a cell protrusion. We find that coiling dynamics are mediated by both the fiber curvature and the metastatic capacity of the cancer cells with less aggressive cancer cells showing diminished coiling. Based on these results, we explore the possibility of using coiling in conjunction with other key biophysical metrics such as cell migration dynamics and forces exerted in the development of a genetic marker independent, biophysical predictive tool for disease progression. Finally, we identify the membrane curvature sensing Insulin Receptor tyrosine kinase Substrate protein of 53 kDa (IRSp53) as a key regulator of protrusive activity with IRSp53 knockout (KO) cells exhibiting significantly slower protrusion dynamics and diminished coil width compared to their wild-type (WT) counterparts. We demonstrate that the hindered protrusive activity ultimately translates to impaired contractility, alteration in the nucleus shape and slower migration dynamics, thus highlighting the unique role of IRSp53 as a signal transducer – linking the protrusive activity at the cell membrane to changes in cytoskeletal contractility. Overall, these findings offer novel perspectives to our understanding of how cancer cells biophysically sense their fibrous surroundings. The results from this study could ultimately pave the way for elucidating the precise fiber configurations that either facilitate or hinder cancer cell invasion, allowing for the development of new therapeutics in the long term that could inhibit the metastatic cascade at a relatively nascent stage and yield a more promising prognosis in the perennial fight against cancer.

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Mechanical Engineering

Department dc:contributor.department

Mechanical Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2021

Author dc:creator

• Mukherjee, Apratim

Chairs dc:contributor.committeechair

• Nain, Amrinder
• Behkam, Bahareh

Committee members dc:contributor.committeemember

• Lee, Yong Woo
• Zheng, Xiaoyu
• Davalos, Rafael V.

• Protrusion
• coiling
• extracellular matrix fibers
• biophysical sensing
• cell migration
• cell forces
• ovarian cancer
• cancer progression
• metastatic potential
• curvature sensing proteins
• IRSp53

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

vt_gsexam:29483

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/112641