title: Monitoring of ovarian cancer cell invasion in real time with frequency-dependent impedance measurement.
abstract: The conventional approach to assessing cancer invasion is primarily for end-point analysis, which does not provide temporal information on the invasion process or any information on the interactions between invading cells and the underlying adherent cells. To alleviate these limitations, the present study exploited electric cell-substrate impedance sensing (ECIS) to monitor the invasion of ovarian cancer cells (SKOV-3) through an adherent monolayer of human umbilical vein endothelial cells (HUVECs). Impedance was measured at 4 kHz of AC voltage or was measured as a function of AC frequency (25 Hz to 60 kHz). By measuring impedance at 4-kHz AC, we found that the invasion of SKOV-3 cells through the HUVEC monolayer was manifested as a rapid decrease in transendothelial electrical resistance in real time. The invasion was augmented in the presence of hepatocyte growth factor (HGF). The enhancing effect of HGF was attenuated by c-Met inhibitor (SU11274). By measuring the frequency-dependent impedance of SKOV-3 cells over time, we found that HGF-enhanced SKOV-3 cell invasion was accomplished with reduced junctional resistance (Rb), increased average cell-substrate separation (h), and increased micromotion. SU11274 attenuated the effects of HGF on Rb, h, and micromotion in the SKOV-3 monolayer. SU11274 also increased the barrier function of the HUVEC monolayer by increasing Rband decreasing h In conclusion, this study demonstrated an improved method for monitoring and studying the interactions between cancer cells and the underlying adherent cells during invasion in real time. Alterations in cellular biophysical properties (Rb, h) associated with cancer transendothelial invasion were detected.
authors: Department of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan.
authors: Chun-Min
authors: CM
authors: Lo
authors: Graduate Institute of Natural Healing Sciences, Nanhua University, Chia-Yi, Taiwan.
authors: Jun-Chih
authors: JC
authors: Lo
authors: Center for Translational Medicine, Temple University School of Medicine, Philadelphia, Pennsylvania.
authors: Priscila Y
authors: PY
authors: Sato
authors: Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas; and.
authors: Tsz-Lun
authors: TL
authors: Yeung
authors: Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas; and.
authors: Samuel C
authors: SC
authors: Mok
authors: Department of Molecular Pharmacology and Physiology, University of South Florida, Tampa, Florida dyip@health.usf.edu.
authors: Kay-Pong
authors: KP
authors: Yip
mesh_terms: D002460:Cell Line; D045744:Cell Line, Tumor; D017097:Electric Impedance; D042783:Endothelial Cells / Q000378:metabolism / Q000473:pathology; D005260:Female; D017228:Hepatocyte Growth Factor / Q000378:metabolism; D061307:Human Umbilical Vein Endothelial Cells; D006801:Humans; D009361:Neoplasm Invasiveness / Q000473:pathology*; D010051:Ovarian Neoplasms / Q000378:metabolism / Q000473:pathology*; D019859:Proto-Oncogene Proteins c-met / Q000378:metabolism
chemical_list: D017228:Hepatocyte Growth Factor; D019859:Proto-Oncogene Proteins c-met
keywords: c-Met; electric cell-substrate impedance sensing; hepatocyte growth factor; ovarian cancer