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Raman spectroscopy for grading of live osteosarcoma cells

INTRODUCTION: Osteosarcoma is the most common primary malignant bone tumor, and the grading of osteosarcoma cells relies on traditional histopathology and molecular biology methods, which require RNA extraction, protein isolation and immunohistological staining. All these methods require cell isolat...

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Autores principales: Chiang, Yi-Hung, Wu, Stewart H, Kuo, Yi-Chun, Chen, How-Foo, Chiou, Arthur, Lee, Oscar K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445270/
https://www.ncbi.nlm.nih.gov/pubmed/25928011
http://dx.doi.org/10.1186/s13287-015-0074-5
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author Chiang, Yi-Hung
Wu, Stewart H
Kuo, Yi-Chun
Chen, How-Foo
Chiou, Arthur
Lee, Oscar K
author_facet Chiang, Yi-Hung
Wu, Stewart H
Kuo, Yi-Chun
Chen, How-Foo
Chiou, Arthur
Lee, Oscar K
author_sort Chiang, Yi-Hung
collection PubMed
description INTRODUCTION: Osteosarcoma is the most common primary malignant bone tumor, and the grading of osteosarcoma cells relies on traditional histopathology and molecular biology methods, which require RNA extraction, protein isolation and immunohistological staining. All these methods require cell isolation, lysis or fixation, which is time-consuming and requires certain amount of tumor specimen. In this study, we report the use of Raman spectroscopy for grading of malignant osteosarcoma cells. METHODS: We demonstrate that, based on the detection of differential production of mineral species, Raman spectroscopy can be used as a live cell analyzer to accurately assess the grades of osteosarcoma cells by evaluating their mineralization levels. Mineralization level was assessed by measuring amount of hydroxyapatite (HA), which is highly expressed in mature osteoblasts, but not in poorly differentiated osteosarcoma cell or mesenchymal stem cells, the putative cell-of-origin of osteosarcoma. RESULTS: We found that under Raman spectroscopy, the level of HA production was high in MG-63 cells, which are low-grade. Moreover, hydroxyapatite production was low in high-grade osteosarcoma cells such as 143B and SaOS2 cells (p < 0.05). Matrix metalloproteinase MMP2, MMP9 were highly expressed in SaOS2, 143B and MSCs and decreased in human fetal osteoblast (FOB) and MG-63 cells as expected (p < 0.05). These results may highlight the inverse correlation between HA level and prognosis of osteosarcoma. CONCLUSIONS: The use of Raman spectroscopy for the measurement of HA production by the protocol reported in this study may serve as a useful tool to rapidly and accurately assess the degree of malignancy in osteosarcoma cells in a label-free manner. Such application may shorten the period of pathological diagnosis and may benefit patients who are inflicted with osteosarcoma.
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spelling pubmed-44452702015-05-28 Raman spectroscopy for grading of live osteosarcoma cells Chiang, Yi-Hung Wu, Stewart H Kuo, Yi-Chun Chen, How-Foo Chiou, Arthur Lee, Oscar K Stem Cell Res Ther Research INTRODUCTION: Osteosarcoma is the most common primary malignant bone tumor, and the grading of osteosarcoma cells relies on traditional histopathology and molecular biology methods, which require RNA extraction, protein isolation and immunohistological staining. All these methods require cell isolation, lysis or fixation, which is time-consuming and requires certain amount of tumor specimen. In this study, we report the use of Raman spectroscopy for grading of malignant osteosarcoma cells. METHODS: We demonstrate that, based on the detection of differential production of mineral species, Raman spectroscopy can be used as a live cell analyzer to accurately assess the grades of osteosarcoma cells by evaluating their mineralization levels. Mineralization level was assessed by measuring amount of hydroxyapatite (HA), which is highly expressed in mature osteoblasts, but not in poorly differentiated osteosarcoma cell or mesenchymal stem cells, the putative cell-of-origin of osteosarcoma. RESULTS: We found that under Raman spectroscopy, the level of HA production was high in MG-63 cells, which are low-grade. Moreover, hydroxyapatite production was low in high-grade osteosarcoma cells such as 143B and SaOS2 cells (p < 0.05). Matrix metalloproteinase MMP2, MMP9 were highly expressed in SaOS2, 143B and MSCs and decreased in human fetal osteoblast (FOB) and MG-63 cells as expected (p < 0.05). These results may highlight the inverse correlation between HA level and prognosis of osteosarcoma. CONCLUSIONS: The use of Raman spectroscopy for the measurement of HA production by the protocol reported in this study may serve as a useful tool to rapidly and accurately assess the degree of malignancy in osteosarcoma cells in a label-free manner. Such application may shorten the period of pathological diagnosis and may benefit patients who are inflicted with osteosarcoma. BioMed Central 2015-04-18 /pmc/articles/PMC4445270/ /pubmed/25928011 http://dx.doi.org/10.1186/s13287-015-0074-5 Text en © Chiang et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Chiang, Yi-Hung
Wu, Stewart H
Kuo, Yi-Chun
Chen, How-Foo
Chiou, Arthur
Lee, Oscar K
Raman spectroscopy for grading of live osteosarcoma cells
title Raman spectroscopy for grading of live osteosarcoma cells
title_full Raman spectroscopy for grading of live osteosarcoma cells
title_fullStr Raman spectroscopy for grading of live osteosarcoma cells
title_full_unstemmed Raman spectroscopy for grading of live osteosarcoma cells
title_short Raman spectroscopy for grading of live osteosarcoma cells
title_sort raman spectroscopy for grading of live osteosarcoma cells
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445270/
https://www.ncbi.nlm.nih.gov/pubmed/25928011
http://dx.doi.org/10.1186/s13287-015-0074-5
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