Issue 12, 2022

Multiplexed molecular imaging with surface enhanced resonance Raman scattering nanoprobes reveals immunotherapy response in mice via multichannel image segmentation

Abstract

Visualizing the presence and distribution of multiple specific molecular markers within a tumor can reveal the composition of its microenvironment, inform diagnosis, stratify patients, and guide treatment. Raman imaging with multiple molecularly-targeted surface enhanced Raman scattering (SERS) nanoprobes could help investigate emerging cancer treatments preclinically or enable personalized treatment assessment. Here, we report a comprehensive strategy for multiplexed imaging using SERS nanoprobes and machine learning (ML) to monitor the early effects of immune checkpoint blockade (ICB) in tumor-bearing mice. We used antibody-functionalized SERS nanoprobes to visualize 7 + 1 immunotherapy-related targets simultaneously. The multiplexed images were spectrally resolved and then spatially segmented into superpixels based on the unmixed signals. The superpixels were used to train ML models, leading to the successful classification of mice into treated and untreated groups, and identifying tumor regions with variable responses to treatment. This method may help predict treatment efficacy in tumors and identify areas of tumor variability and therapy resistance.

Graphical abstract: Multiplexed molecular imaging with surface enhanced resonance Raman scattering nanoprobes reveals immunotherapy response in mice via multichannel image segmentation

Associated articles

Supplementary files

Article information

Article type
Communication
Submitted
13 jul 2022
Accepted
14 okt 2022
First published
20 okt 2022
This article is Open Access
Creative Commons BY-NC license

Nanoscale Horiz., 2022,7, 1540-1552

Multiplexed molecular imaging with surface enhanced resonance Raman scattering nanoprobes reveals immunotherapy response in mice via multichannel image segmentation

C. Andreou, K. Plakas, N. Berisha, M. Gigoux, L. E. Rosch, R. Mirsafavi, A. Oseledchyk, S. Pal, D. Zamarin, T. Merghoub, M. R. Detty and M. F. Kircher, Nanoscale Horiz., 2022, 7, 1540 DOI: 10.1039/D2NH00331G

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