Distinguishing metastatic triple-negative breast cancer from nonmetastatic breast cancer using second harmonic generation imaging and resonance Raman spectroscopy Journal Article

   

Authors:	Bendau, E.; Smith, J.; Zhang, L.; Ackerstaff, E.; Kruchevsky, N.; Wu, B.; Koutcher, J. A.; Alfano, R.; Shi, L.
Article Title:	Distinguishing metastatic triple-negative breast cancer from nonmetastatic breast cancer using second harmonic generation imaging and resonance Raman spectroscopy
Abstract:	Triple-negative breast cancer (TNBC) is an aggressive subset of breast cancer that is more common in African-American and Hispanic women. Early detection followed by intensive treatment is critical to improving poor survival rates. The current standard to diagnose TNBC from histopathology of biopsy samples is invasive and time-consuming. Imaging methods such as mammography and magnetic resonance (MR) imaging, while covering the entire breast, lack the spatial resolution and specificity to capture the molecular features that identify TNBC. Two nonlinear optical modalities of second harmonic generation (SHG) imaging of collagen, and resonance Raman spectroscopy (RRS) potentially offer novel rapid, label-free detection of molecular and morphological features that characterize cancerous breast tissue at subcellular resolution. In this study, we first applied MR methods to measure the whole-tumor characteristics of metastatic TNBC (4T1) and nonmetastatic estrogen receptor positive breast cancer (67NR) models, including tumor lactate concentration and vascularity. Subsequently, we employed for the first time in vivo SHG imaging of collagen and ex vivo RRS of biomolecules to detect different microenvironmental features of these two tumor models. We achieved high sensitivity and accuracy for discrimination between these two cancer types by quantitative morphometric analysis and nonnegative matrix factorization along with support vector machine. Our study proposes a new method to combine SHG and RRS together as a promising novel photonic and optical method for early detection of TNBC. © 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Keywords:	molecular imaging; tumors; collagen; magnetic resonance; diseases; support vector machines; feature extraction; nonnegative matrix factorization; morphometric analysis; raman spectroscopy; factorization; morphological features; triple-negative breast cancers; nonlinear optics; harmonic generation; matrix algebra; label-free detection; lactate concentration; resonance raman spectroscopy; subcellular resolution
Journal Title:	Journal of Biophotonics
Volume:	13
Issue:	7
ISSN:	1864-063X
Publisher:	Wiley - V C H Verlag GmbH & Co. KGaA
Date Published:	2020-07-01
Start Page:	e202000005
Language:	English
DOI:	10.1002/jbio.202000005
PUBMED:	32219996
PROVIDER:	scopus
PMCID:	PMC7433748
DOI/URL:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084069844&doi=10.1002%2fjbio.202000005&partnerID=40&md5=3193357da37a295ab0cf7dc35bf23fc9
Notes:	Article -- Export Date: 3 August 2020 -- Source: Scopus

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