Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging
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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Springer Science and Business Media LLC
2024
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| Online Access: | https://hdl.handle.net/1721.1/154317 |
| _version_ | 1811090903415128064 |
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| author | Kar, Sumanta Jaswandkar, Sharad V. Katti, Kalpana S. Kang, Jeon Woong So, Peter T. C. Paulmurugan, Ramasamy Liepmann, Dorian Venkatesan, Renugopalakrishnan Katti, Dinesh R. |
| author_facet | Kar, Sumanta Jaswandkar, Sharad V. Katti, Kalpana S. Kang, Jeon Woong So, Peter T. C. Paulmurugan, Ramasamy Liepmann, Dorian Venkatesan, Renugopalakrishnan Katti, Dinesh R. |
| author_sort | Kar, Sumanta |
| collection | MIT |
| description | 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<jats:sup>−1</jats:sup>, 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. |
| first_indexed | 2024-09-23T14:53:48Z |
| format | Article |
| id | mit-1721.1/154317 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:53:48Z |
| publishDate | 2024 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | mit-1721.1/1543172024-09-17T04:58:16Z Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging Kar, Sumanta Jaswandkar, Sharad V. Katti, Kalpana S. Kang, Jeon Woong So, Peter T. C. Paulmurugan, Ramasamy Liepmann, Dorian Venkatesan, Renugopalakrishnan Katti, Dinesh R. 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<jats:sup>−1</jats:sup>, 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. 2024-04-30T19:13:56Z 2024-04-30T19:13:56Z 2022-05-16 2024-04-30T19:09:47Z Article http://purl.org/eprint/type/JournalArticle 2045-2322 https://hdl.handle.net/1721.1/154317 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). en 10.1038/s41598-022-11800-w Scientific Reports Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Springer Science and Business Media LLC Springer Science and Business Media LLC |
| spellingShingle | Kar, Sumanta Jaswandkar, Sharad V. Katti, Kalpana S. Kang, Jeon Woong So, Peter T. C. Paulmurugan, Ramasamy Liepmann, Dorian Venkatesan, Renugopalakrishnan Katti, Dinesh R. Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging |
| title | Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging |
| title_full | Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging |
| title_fullStr | Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging |
| title_full_unstemmed | Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging |
| title_short | Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging |
| title_sort | label free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by raman imaging |
| url | https://hdl.handle.net/1721.1/154317 |
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