Molecular monitoring of glioblastoma's immunogenicity using a combination of Raman spectroscopy and chemometrics.

Autor: Robert C; Dodd-Walls Centre for Photonics and Quantum Technologies, Department of Chemistry, University of Otago, Dunedin, New Zealand., Tsiampali J; Neurosurgery Department, University Hospital Duesseldorf, 40225 Duesseldorf, Germany., Fraser-Miller SJ; Dodd-Walls Centre for Photonics and Quantum Technologies, Department of Chemistry, University of Otago, Dunedin, New Zealand., Neumann S; Department of Pathology, University of Otago, Dunedin, New Zealand., Maciaczyk D; Department of Pathology, University of Otago, Dunedin, New Zealand., Young SL; School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia., Maciaczyk J; Department of Neurosurgery, University Hospital Bonn, 53179 Bonn, Germany; Department of Surgical Sciences, University of Otago, Dunedin, New Zealand. Electronic address: Jaroslaw.Maciaczyk@ukbonn.de., Gordon KC; Dodd-Walls Centre for Photonics and Quantum Technologies, Department of Chemistry, University of Otago, Dunedin, New Zealand. Electronic address: keith.gordon@otago.ac.nz.
Jazyk: angličtina
Zdroj: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2021 May 05; Vol. 252, pp. 119534. Date of Electronic Publication: 2021 Feb 03.
DOI: 10.1016/j.saa.2021.119534
Abstrakt: Raman spectroscopy (RS) has been used as a powerful diagnostic and non-invasive tool in cancer diagnosis as well as in discrimination of cancer and immune cells. In this study RS in combination with chemometrics was applied to cellular Raman spectral data to distinguish the phenotype of T-cells and monocytes after incubation with media conditioned by glioblastoma stem-cells (GSCs) showing different molecular background. For this purpose, genetic modulations of epithelial-to-mesenchymal transition (EMT) process and expression of immunomodulator CD73 were introduced. Principal component analysis of the Raman spectral data showed that T-cells and monocytes incubated with tumour-conditioned media (TCMs) of GSCs with inhibited EMT activator ZEB1 or CD73 formed distinct clusters compared to controls highlighting their differences. Further discriminatory analysis performed using linear discriminant analysis (LDA) and support vector machine classification (SVM), yielded sensitivities and specificities of over 70 and 67% respectively upon validation against an independent test set. Supporting those results, flow cytometric analysis was performed to test the influence of TCMs on cytokine profile of T-cells and monocytes. We found that ZEB1 and CD73 influence T-cell and monocyte phenotype and promote monocyte differentiation into a population of mixed pro- and anti-tumorigenic macrophages (MΦs) and dendritic cells (DCs) respectively. In conclusion, Raman spectroscopy in combination with chemometrics enabled tracking T-cells and monocytes.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2021 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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