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.
Abstract
AbstractMetastatic 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.
Funder
NDSU Center for Engineered Cancer Testbeds
National Institutes of Health
Rothschild Foundation, Paris, France
Publisher
Springer Science and Business Media LLC
Cited by
7 articles.
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