The overall goal of this project is to provide surgeons with a tool in the operating room to correctly identify the margins of a tumor during resection. One of the most important goals for a surgeon after tumor resection is to achieve negative tumor margins. Failure to completely remove the entire tumor is one of the leading risk factors for recurrence and can lead to significant problems for the patient including eventual metastasis. Here we are proposing to develop a novel tool to help guide surgeons in real-time to identify tumor margins. The proposed product consists of two components 1) A handheld Raman device, which will be fabricated in-house at Stanford University and 2) Raman-active gold nanoparticles, which are commercially available. Our strategy involves modifying the surface of these gold nanoparticles with tumor targeting agents. After administration to the tumor area, the nanoparticles would ideally localize and bind specifically to the tumor itself, becoming a contrast agent for our handheld Raman scope to sensitively detect. A radiometric imaging strategy can then be used to quantify specific vs. nonspecific contrast agent binding, resulting in improved tumor-to-background ratios. This novel tool is intended to aid surgeons by identifying tumor margins sensitively and specifically in real time during tumor resection and as a verification tool after tumor excision. Raman spectroscopy is an optical technique that offers unsurpassed sensitivity (on the order of pM) and multiplexing capabilities to the field of molecular imaging, and incorporating it into the operating room has the potential to significantly improve the surgeon's ability to obtain negative resection margins. The approach is expected to be low risk for clinical translation because Raman endoscopes have previously been used in humans, and because gold based nanoparticles are relatively inert and some constructs have already been approved by the FDA for human use. The results obtained from this proposal could significantly accelerate the translation of this novel strategy into the clinic. In addition, harnessing the ultrasensitive detection and multiplexing capabilities of Raman spectroscopy for identifying tumor margins could significantly decrease the chances of recurrence and repeat visits to the operating room thus impacting the survival rate of cancer patients.

Public Health Relevance

The proposed research is intended to help guide surgeons during tumor resection in order to improve the rate by which surgeons are successful at removing the entire tumor. By utilizing a novel handheld Raman device in conjunction with tumor targeting imaging agents, the surgeon can immediately determine whether the entire tumor was removed successfully while still in the operating room. This approach has great potential to be clinically translated and could significantly decrease the chances of recurrence and repeat visits to the operating room thus impacting the survival rate of cancer patients.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21CA184608-02
Application #
9054089
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Soyombo-Shoola, Abigail Adebisi
Project Start
2015-05-01
Project End
2017-04-30
Budget Start
2016-05-01
Budget End
2017-04-30
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Stanford University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
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Zavaleta, Cristina; Ho, Dean; Chung, Eun Ji (2018) Theranostic Nanoparticles for Tracking and Monitoring Disease State. SLAS Technol 23:281-293
Campbell, Jos L; SoRelle, Elliott D; Ilovich, Ohad et al. (2017) Multimodal assessment of SERS nanoparticle biodistribution post ingestion reveals new potential for clinical translation of Raman imaging. Biomaterials 135:42-52
SoRelle, Elliott D; Liba, Orly; Campbell, Jos L et al. (2016) A hyperspectral method to assay the microphysiological fates of nanomaterials in histological samples. Elife 5: