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Detection of Circulating Tumor Cells Using Membrane-Based SERS Platform: A New Diagnostic Approach for ‘Liquid Biopsy’

The detection and monitoring of circulating tumor cells (CTCs) in blood is an important strategy for early cancer evidence, analysis, monitoring of therapeutic response, and optimization of cancer therapy treatments. In this work, tailor-made membranes (MBSP) for surface-enhanced Raman spectroscopy...

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Autores principales: Kamińska, Agnieszka, Szymborski, Tomasz, Witkowska, Evelin, Kijeńska-Gawrońska, Ewa, Świeszkowski, Wojciech, Niciński, Krzysztof, Trzcińska-Danielewicz, Joanna, Girstun, Agnieszka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473992/
https://www.ncbi.nlm.nih.gov/pubmed/30841516
http://dx.doi.org/10.3390/nano9030366
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author Kamińska, Agnieszka
Szymborski, Tomasz
Witkowska, Evelin
Kijeńska-Gawrońska, Ewa
Świeszkowski, Wojciech
Niciński, Krzysztof
Trzcińska-Danielewicz, Joanna
Girstun, Agnieszka
author_facet Kamińska, Agnieszka
Szymborski, Tomasz
Witkowska, Evelin
Kijeńska-Gawrońska, Ewa
Świeszkowski, Wojciech
Niciński, Krzysztof
Trzcińska-Danielewicz, Joanna
Girstun, Agnieszka
author_sort Kamińska, Agnieszka
collection PubMed
description The detection and monitoring of circulating tumor cells (CTCs) in blood is an important strategy for early cancer evidence, analysis, monitoring of therapeutic response, and optimization of cancer therapy treatments. In this work, tailor-made membranes (MBSP) for surface-enhanced Raman spectroscopy (SERS)-based analysis, which permitted the separation and enrichment of CTCs from blood samples, were developed. A thin layer of SERS-active metals deposited on polymer mat enhanced the Raman signals of CTCs and provided further insight into CTCs molecular and biochemical composition. The SERS spectra of all studied cells—prostate cancer (PC3), cervical carcinoma (HeLa), and leucocytes as an example of healthy (normal) cell—revealed significant differences in both the band positions and/or their relative intensities. The multivariate statistical technique based on principal component analysis (PCA) was applied to identify the most significant differences (marker bands) in SERS data among the analyzed cells and to perform quantitative analysis of SERS data. Based on a developed PCA algorithm, the studied cell types were classified with an accuracy of 95% in 2D PCA to 98% in 3D PCA. These results clearly indicate the diagnostic efficiency for the discrimination between cancer and normal cells. In our approach, we exploited the one-step technology that exceeds most of the multi-stage CTCs analysis methods used and enables simultaneous filtration, enrichment, and identification of the tumor cells from blood specimens.
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spelling pubmed-64739922019-05-03 Detection of Circulating Tumor Cells Using Membrane-Based SERS Platform: A New Diagnostic Approach for ‘Liquid Biopsy’ Kamińska, Agnieszka Szymborski, Tomasz Witkowska, Evelin Kijeńska-Gawrońska, Ewa Świeszkowski, Wojciech Niciński, Krzysztof Trzcińska-Danielewicz, Joanna Girstun, Agnieszka Nanomaterials (Basel) Article The detection and monitoring of circulating tumor cells (CTCs) in blood is an important strategy for early cancer evidence, analysis, monitoring of therapeutic response, and optimization of cancer therapy treatments. In this work, tailor-made membranes (MBSP) for surface-enhanced Raman spectroscopy (SERS)-based analysis, which permitted the separation and enrichment of CTCs from blood samples, were developed. A thin layer of SERS-active metals deposited on polymer mat enhanced the Raman signals of CTCs and provided further insight into CTCs molecular and biochemical composition. The SERS spectra of all studied cells—prostate cancer (PC3), cervical carcinoma (HeLa), and leucocytes as an example of healthy (normal) cell—revealed significant differences in both the band positions and/or their relative intensities. The multivariate statistical technique based on principal component analysis (PCA) was applied to identify the most significant differences (marker bands) in SERS data among the analyzed cells and to perform quantitative analysis of SERS data. Based on a developed PCA algorithm, the studied cell types were classified with an accuracy of 95% in 2D PCA to 98% in 3D PCA. These results clearly indicate the diagnostic efficiency for the discrimination between cancer and normal cells. In our approach, we exploited the one-step technology that exceeds most of the multi-stage CTCs analysis methods used and enables simultaneous filtration, enrichment, and identification of the tumor cells from blood specimens. MDPI 2019-03-05 /pmc/articles/PMC6473992/ /pubmed/30841516 http://dx.doi.org/10.3390/nano9030366 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kamińska, Agnieszka
Szymborski, Tomasz
Witkowska, Evelin
Kijeńska-Gawrońska, Ewa
Świeszkowski, Wojciech
Niciński, Krzysztof
Trzcińska-Danielewicz, Joanna
Girstun, Agnieszka
Detection of Circulating Tumor Cells Using Membrane-Based SERS Platform: A New Diagnostic Approach for ‘Liquid Biopsy’
title Detection of Circulating Tumor Cells Using Membrane-Based SERS Platform: A New Diagnostic Approach for ‘Liquid Biopsy’
title_full Detection of Circulating Tumor Cells Using Membrane-Based SERS Platform: A New Diagnostic Approach for ‘Liquid Biopsy’
title_fullStr Detection of Circulating Tumor Cells Using Membrane-Based SERS Platform: A New Diagnostic Approach for ‘Liquid Biopsy’
title_full_unstemmed Detection of Circulating Tumor Cells Using Membrane-Based SERS Platform: A New Diagnostic Approach for ‘Liquid Biopsy’
title_short Detection of Circulating Tumor Cells Using Membrane-Based SERS Platform: A New Diagnostic Approach for ‘Liquid Biopsy’
title_sort detection of circulating tumor cells using membrane-based sers platform: a new diagnostic approach for ‘liquid biopsy’
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473992/
https://www.ncbi.nlm.nih.gov/pubmed/30841516
http://dx.doi.org/10.3390/nano9030366
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