Abstract
Noninvasive radiofrequency-induced (RF) hyperthermia has been shown to increase the perfusion of chemotherapeutics and nanomaterials through cancer tissue in ectopic and orthotopic murine tumor models. Additionally, mild hyperthermia (37°C-45°C) has previously shown a synergistic anticancer effect when used with standard-of-care chemotherapeutics such as gemcitabine and Abraxane. However, RF hyperthermia treatment schedules remain unoptimized, and the mechanisms of action of hyperthermia and how they change when treating various tumor phenotypes are poorly understood. Therefore, pretreatment screening of tumor phenotypes to identify key tumors that are predicted to respond more favorably to hyperthermia will provide useful mechanistic data and may improve therapeutic outcomes. Herein, we identify key biophysical tumor characteristics in order to predict the outcome of combinational RF and chemotherapy treatment. We demonstrate that ultrasound imaging using Doppler mode can be utilized to predict the response of combinational RF and chemotherapeutic therapy in a murine 4T1 breast cancer model.
Original language | English (US) |
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Pages (from-to) | 864-872 |
Number of pages | 9 |
Journal | Translational Oncology |
Volume | 11 |
Issue number | 4 |
DOIs | |
State | Published - Aug 2018 |
Externally published | Yes |
Bibliographical note
Funding Information:S. A. C., S. J. C., M. K. S., and M. J. W. acknowledge the financial support from Kanzius Cancer Research Foundation . J. M. N. acknowledges financial support from the National Institute of General Medical Sciences T32 predoctoral training grant ( T32GM088129 ) and the National Institute of Dental & Craniofacial Research F31 NRSA training grant ( F31DE026682 ) both of the National Institutes of Health . This content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors would like to acknowledge the Pathology and Histology Core, Baylor College of Medicine, Houston, TX, 77030 USA. We would like to help prof. Martine J. Jager from Leiden University and prof. Martyna Elas for helpful discussions.
Publisher Copyright:
© 2018 BAYLOR COLLEGE OF MEDICINE