Intraoperative visualization of the tumor microenvironment and quantification of extracellular vesicles by label-free nonlinear imaging

Yi Sun, Sixian You, Haohua Tu, Darold R. Spillman, Eric J. Chaney, Marina Marjanovic, Joanne Li, Ronit Barkalifa, Jianfeng Wang, Anna M. Higham, Natasha N. Luckey, Kimberly A. Cradock, Z. George Liu, Stephen A. Boppart*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

73 Citations (Scopus)

Abstract

Characterization of the tumor microenvironment, including extracellular vesicles (EVs), is important for understanding cancer progression. EV studies have traditionally been performed on dissociated cells, lacking spatial information. Since the distribution of EVs in the tumor microenvironment is associated with cellular function, there is a strong need for visualizing EVs in freshly resected tissues. We intraoperatively imaged untreated human breast tissues using a custom nonlinear imaging system. Label-free optical contrasts of the tissue, correlated with histological findings, enabled point-of-procedure characterization of the tumor microenvironment. EV densities from 29 patients with breast cancer were found to increase with higher histologic grade and shorter tumor-to-margin distance and were significantly higher than those from 7 cancer-free patients undergoing breast reduction surgery. Acquisition and interpretation of these intraoperative images not only provide real-time visualization of the tumor microenvironment but also offer the potential to use EVs as a label-free biomarker for cancer diagnosis and prognosis.

Original languageEnglish
Article numbereaau5603
JournalScience advances
Volume4
Issue number12
DOIs
Publication statusPublished - 19 Dec 2018
Externally publishedYes

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