Raman spectroscopy for accurately characterizing biomolecular changes in androgen-independent prostate cancer cells

Stella Corsetti; Thomas Rabl; David McGloin; Ghulam Nabi

doi:10.1002/jbio.201700166

Raman spectroscopy for accurately characterizing biomolecular changes in androgen-independent prostate cancer cells

Stella Corsetti^* (Corresponding Author), Thomas Rabl, David McGloin, Ghulam Nabi

^*Corresponding author for this work

University of Dundee

Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

Abstract

Metastatic prostate cancer resistant to hormonal manipulation is considered the advanced stage of the disease and leads to most cancer-related mortality. With new research focusing on modulating cancer growth, it is essential to understand the biochemical changes in cells that can then be exploited for drug discovery and for improving responsiveness to treatment. Raman spectroscopy has a high chemical specificity and can be used to detect and quantify molecular changes at the cellular level. Collection of large data sets generated from biological samples can be employed to form discriminatory algorithms for detection of subtle and early changes in cancer cells. The present study describes Raman finger printing of normal and metastatic hormone-resistant prostate cancer cells including analyses with principal component analysis and linear discrimination. Amino acid-specific signals were identified, especially loss of arginine band. Androgen-resistant prostate cancer cells presented a higher content of phenylalanine, tyrosine, DNA and Amide III in comparison to PNT2 cells, which possessed greater amounts of L-arginine and had a B conformation of DNA. The analysis utilized in this study could reliably differentiate the 2 cell lines (sensitivity 95%; specificity 88%).

Original language	English
Article number	e201700166
Number of pages	8
Journal	Journal of Biophotonics
Volume	11
Issue number	3
Early online date	23 Sept 2017
DOIs	https://doi.org/10.1002/jbio.201700166
Publication status	Published - 5 Mar 2018

Bibliographical note

Funding Information:
We thank the Wellcome Trust ISSF, the Moffat Trust, the Scottish Universities Physics Alliance (SUPA) support as well as the European Union’s Seventh Framework Programme (FP7/2007-2013) through the People Programme (Marie Curie Actions) under REA grant agreement no. 608133. The authors also thank Scott Palmer for technical assistance.

Data Availability Statement

Please see Supporting Information online

Keywords

castrate resistant prostate cancer (CRPC)
L-arginine
metastatic prostate cancer cells
phenylalanine
Raman spectroscopy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/jbio.201700166

Corsetti_etal_JoB_Raman_spectroscopy_for_VoR
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Cite this

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abstract = "Metastatic prostate cancer resistant to hormonal manipulation is considered the advanced stage of the disease and leads to most cancer-related mortality. With new research focusing on modulating cancer growth, it is essential to understand the biochemical changes in cells that can then be exploited for drug discovery and for improving responsiveness to treatment. Raman spectroscopy has a high chemical specificity and can be used to detect and quantify molecular changes at the cellular level. Collection of large data sets generated from biological samples can be employed to form discriminatory algorithms for detection of subtle and early changes in cancer cells. The present study describes Raman finger printing of normal and metastatic hormone-resistant prostate cancer cells including analyses with principal component analysis and linear discrimination. Amino acid-specific signals were identified, especially loss of arginine band. Androgen-resistant prostate cancer cells presented a higher content of phenylalanine, tyrosine, DNA and Amide III in comparison to PNT2 cells, which possessed greater amounts of L-arginine and had a B conformation of DNA. The analysis utilized in this study could reliably differentiate the 2 cell lines (sensitivity 95%; specificity 88%).",

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Raman spectroscopy for accurately characterizing biomolecular changes in androgen-independent prostate cancer cells

Abstract

Bibliographical note

Data Availability Statement

Keywords

UN SDGs

Access to Document

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