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  4. Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging

Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging

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sword-2024-04-30T19:09:47.original.xml (130 B)
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Author(s)
Kar, Sumanta
•
Jaswandkar, Sharad V.
•
Katti, Kalpana S.
•
Kang, Jeon Woong
•
So, Peter T. C.
•
Paulmurugan, Ramasamy
•
Liepmann, Dorian
•
Venkatesan, Renugopalakrishnan
•
Katti, Dinesh R.
Date Issued
May 16, 2022
Journal
Scientific Reports
Publisher
Springer Science and Business Media LLC
Citation
Kar, S., Jaswandkar, S.V., Katti, K.S. et al. Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging. Sci Rep 12, 8050 (2022).
Version
Final published version
Abstract
Metastatic prostate cancer colonizes the bone to pave the way for bone metastasis, leading to skeletal complications associated with poor prognosis and morbidity. This study demonstrates the feasibility of Raman imaging to differentiate between cancer cells at different stages of tumorigenesis using a nanoclay-based three-dimensional (3D) bone mimetic in vitro model that mimics prostate cancer bone metastasis. A comprehensive study comparing the classification of as received prostate cancer cells in a two-dimensional (2D) model and cancer cells in a 3D bone mimetic environment was performed over various time intervals using principal component analysis (PCA). Our results showed distinctive spectral differences in Raman imaging between prostate cancer cells and the cells cultured in 3D bone mimetic scaffolds, particularly at 1002, 1261, 1444, and 1654 cm−1, which primarily contain proteins and lipids signals. Raman maps capture sub-cellular responses with the progression of tumor cells into metastasis. Raman feature extraction via cluster analysis allows for the identification of specific cellular constituents in the images. For the first time, this work demonstrates a promising potential of Raman imaging, PCA, and cluster analysis to discriminate between cancer cells at different stages of metastatic tumorigenesis.
MIT Department
Massachusetts Institute of Technology. Laser Biomedical Research Center
Massachusetts Institute of Technology. Spectroscopy Laboratory
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Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/154317
DOI of Published Version
https://doi.org/10.1038/s41598-022-11800-w
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