Optimizing metastatic-cascade-dependent Rac1 targeting in breast cancer: Guidance using optical window intravital FRET imaging
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Alessia Floerchinger Kendelle J Murphy Sharissa L Latham Sean C Warren Andrew T McCulloch Young-Kyung Lee Janett Stoehr Pauline Mélénec Cris S Guaman Xanthe L Metcalf Victoria Lee Anaiis Zaratzian Andrew Da Silva Michael Tayao Sonia Rolo Monica Phimmachanh Ghazal Sultani Laura McDonald Susan M Mason Nicola Ferrari Lisa M Ooms Anna-Karin E Johnsson Heather J Spence Michael F Olson Laura M Machesky Owen J Sansom Jennifer P Morton Christina A Mitchell Michael S Samuel David R Croucher Heidi CE Welch Karen Blyth C Elizabeth Caldon David Herrmann Kurt Anderson Paul Timpson Max Nobis Toggle all authors (37)
Abstract
Assessing drug response within live native tissue provides increased fidelity with regards to optimizing efficacy while minimizing off-target effects. Here, using longitudinal intravital imaging of a Rac1-Förster resonance energy transfer (FRET) biosensor mouse coupled with in vivo photoswitching to track intratumoral movement, we help guide treatment scheduling in a live breast cancer setting to impair metastatic progression. We uncover altered Rac1 activity at the center versus invasive border of tumors and demonstrate enhanced Rac1 activity of cells in close proximity to live tumor vasculature using optical window imaging. We further reveal that Rac1 inhibition can enhance tumor cell vulnerability to fluid-flow-induced shear stress and therefore improves overall anti-metastatic response to therapy during transit to secondary sites such as the lung. Collectively, this study demonstrates the utility of single-cell intravital imaging in vivo to demonstrate that Rac1 inhibition can reduce tumor progression and metastases in an autochthonous setting to improve overall survival.
Journal details
Journal Cell Reports
Volume 36
Issue number 11
Pages 109689
Available online
Publication date
Full text links
Publisher website (DOI) 10.1016/j.celrep.2021.109689
Europe PubMed Central 34525350
Pubmed 34525350