Abstract

The use of Raman spectroscopy combined with multivariate chemometrics for disease diagnosis has attracted great attention from researchers in recent years. This is because it is a noninvasive and nondestructive detection approach with enhanced sensitivity. However, a major challenge when analyzing spectra from biological samples has been the detection of subtle biochemical alterations buried in background and fluorescence noise. This work reports a qualitative chemometrics-assisted investigation of subtle biochemical alterations associated with prostate malignancy in model biological tissue (metastatic androgen insensitive (PC3) and immortalized normal (PNT1a) prostate cell lines). Raman spectra were acquired from PC3 and PNT1a cells at various stages of growth, and their biochemical alterations were determined from difference spectra between the two cell lines (for prominent alterations) and principal component analysis (PCA) (for subtle alterations). The Raman difference spectra were computed by subtracting the normalized mean spectral intensities of PNT1a cells from the normalized mean spectral intensities of PC3 cells. These difference spectra revealed prominent biochemical alterations associated with the malignant PC3 cells at 566 ± 0.70 cm−1, 630 cm−1, 1370 ± 0.86 cm−1, and 1618 ± 1.73 cm−1 bands. The band intensity ratios at 566 ± 0.70 cm−1 and 630 cm−1 suggested that prostate malignancy can be associated with an increase in relative amounts of nucleic acids and lipids, respectively, whereas those at 1370 ± 0.86 cm−1 and 1618 ± 1.73 cm−1 suggested that prostate malignancy can be associated with a decrease in relative amounts of saccharides and tryptophan, respectively. In the analysis using PCA, intermediate-order and high-order principal components (PCs) were used to extract the subtle biochemical fingerprints associated with the cell lines. This revealed subtle biochemical differences at 1076 cm−1, (1232, 1234 cm−1), (1276, 1278 cm−1), (1330, 1333 cm−1), (1434, 1442 cm−1), and (1471, 1479 cm−1). The band intensity ratios at 1076 cm−1 and 1232 cm−1 suggested that prostate malignancy can be associated with an increase in subtle amounts of nucleic acids and amide III components, respectively. The method reported here has demonstrated that subtle biochemical alterations can be extracted from Raman spectra of normal and malignant cell lines. The identified subtle bands could play an important role in quantitative monitoring of early biomarker alterations associated with prostate cancer proliferation.

Highlights

  • Cancer is a potentially fatal disease dominated by the uncontrolled growth and metastasis of abnormal cells [1]

  • E biochemical assignments of peaks were done in accordance with the Raman spectroscopy of tissues, body fluids, or biomolecules, as highlighted in the literature. is was done in consideration of position and possible wavelength differences of each particular Raman band. eoretically, spectral resolution in a dispersive Raman spectrometer is determined by many factors which include spectrometer focal length, diffraction grating, laser wavelength, and the detector [28]

  • The utility of Raman spectroscopy in interrogating subtle molecular alterations in cultured PC3 and PNT1a cells in vitro has been demonstrated. e findings from this study suggest that Raman spectroscopy combined with principal component analysis (PCA) has potential applications as a research tool in prostate cancer diagnostics

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Summary

Introduction

Cancer is a potentially fatal disease dominated by the uncontrolled growth and metastasis of abnormal cells [1]. In the search for biomolecular differences between normal and diseased biological samples, vibrational spectroscopy methods, e.g., Fourier transform infrared (FTIR) absorption spectroscopy and Raman spectroscopy, have increasingly generated interest in the biomedical sciences. Ese methods have been applied successfully in disease diagnostics due to their capability of performing quantitative analysis on the different chemical compositions and molecular structures of healthy and pathological tissues [4, 5]. FTIR spectroscopy has been previously employed to spectrally differentiate between normal and neoplastic human skin samples suffering from epithelioma and basalioma cancers [4] and in characterizing the damage and regeneration caused by chemical agents in liver tissues [5, 6]. Its potential is enhanced when combined with chemometric algorithms for extracting the most significant chemically relevant information, while the less informative data and insignificant information (noise) are discarded

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