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Proceedings Paper

Intraoperative determination of tumor aggressiveness by real-time label-free nonlinear imaging and characterization of tumor-associated extracellular vesicles (Conference Presentation)
Author(s): Yi Sun; Sixian You; Haohua Tu; Darold R. Spillman; Marina Marjanovic; Eric J. Chaney; George Z. Liu; Anna Higham; Kimberly A. Cradock; Stephen A. Boppart
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Paper Abstract

Tumor-associated extracellular vesicles (TEVs), which represent a unique kind of inter-cellular communication carrier, have been found to play vital roles in directing the invasion and metastasis of tumor cells. However, because the human tumor microenvironment and TEVs significantly degrade or lose vitality over relatively brief periods of time after breast cancer surgical excision, lab-based studies with fresh human tissue specimens cannot provide accurate TEV information. By designing and building a portable label-free nonlinear imaging system, we have been able to conduct intraoperative imaging of fresh, unstained breast tissue specimens immediately after excision. Various features of the breast tumor microenvironment from multimodal nonlinear images were characterized to indicate tumor progression, invasiveness, and tumor grade, such as tumor-accommodating collagen structure visualized using second harmonic generation imaging, fibroblasts shown by two photon auto-fluorescence, and TEVs highlighted using third harmonic generation imaging. In particular, we found TEV count as a promising biomarker of tumor aggressiveness and margin distance. A decreasing trend of TEV counts with larger margin distance and lower cancer aggressiveness grades was revealed among 18 breast cancer cases. In addition, clear differences in TEV counts between images collected from breast cancer cases and healthy breast reduction cases, in another aspect, validate the potential of identifying TEVs using our imaging method. Acquisition and interpretation of these intraoperative image data not only provided assessment of the human tumor microenvironment, but also offered the potential to intraoperatively assess tumor margin distance and determine tumor aggressiveness.

Paper Details

Date Published: 14 March 2018
Proc. SPIE 10478, Molecular-Guided Surgery: Molecules, Devices, and Applications IV, 1047805 (14 March 2018); doi: 10.1117/12.2288818
Show Author Affiliations
Yi Sun, Univ. of Illinois at Urbana-Champaign (United States)
Sixian You, Univ. of Illinois at Urbana-Champaign (United States)
Haohua Tu, Univ. of Illinois at Urbana-Champaign (United States)
Darold R. Spillman, Univ. of Illinois at Urbana-Champaign (United States)
Marina Marjanovic, Univ. of Illinois at Urbana-Champaign (United States)
Eric J. Chaney, Univ. of Illinois at Urbana-Champaign (United States)
George Z. Liu, Carle Foundation Hospital (United States)
Anna Higham, Carle Foundation Hospital (United States)
Kimberly A. Cradock, Carle Foundation Hospital (United States)
Stephen A. Boppart, Univ. of Illinois at Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 10478:
Molecular-Guided Surgery: Molecules, Devices, and Applications IV
Brian W. Pogue; Sylvain Gioux; Greg Biggs, Editor(s)

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