title: Hyperspectral Raman imaging of human prostatic cells: An attempt to differentiate normal and malignant cell lines by univariate and multivariate data analysis.
abstract: Hyperspectral Raman images of human prostatic cells have been collected and analysed with several approaches to reveal differences among normal and tumor cell lines. The objective of the study was to test the potential of different chemometric methods in providing diagnostic responses. We focused our analysis on the ν(CH) region (2800-3100cm-1) owing to its optimal Signal-to-Noise ratio and because the main differences between the spectra of the two cell lines were observed in this frequency range. Multivariate analysis identified two principal components, which were positively recognized as due to the protein and the lipid fractions, respectively. The tumor cells exhibited a modified distribution of the cytoplasmatic lipid fraction (mainly localized alongside the cell boundary) which may result very useful for a preliminary screening. Principal Component analysis was found to provide high contrast and to be well suited for image-processing purposes. Self-Modelling Curve Resolution made available meaningful spectra and relative-concentration values; it revealed a 97% increase of the lipid fraction in the tumor cell with respect to the control. Finally, a univariate approach confirmed significant and reproducible differences between normal and tumor cells.
authors.affiliation: Institute of Polymers, Composites and Biomaterials, National Research Council of Italy, via Campi Flegrei, 34, Olivetti Buildings, 80078 Pozzuoli, NA, Italy. Electronic address: pellegrino.musto@ipcb.cnr.it.
authors.forename: P
authors.initials: P
authors.lastname: Musto
authors.affiliation: Institute of Biosciences and Bio Resources, National Research Council of Italy, via P. Castellino 111, 80131 Naples, NA, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Calarco
authors.affiliation: Institute of Polymers, Composites and Biomaterials, National Research Council of Italy, via Campi Flegrei, 34, Olivetti Buildings, 80078 Pozzuoli, NA, Italy.
authors.forename: M
authors.initials: M
authors.lastname: Pannico
authors.affiliation: Institute of Polymers, Composites and Biomaterials, National Research Council of Italy, via Campi Flegrei, 34, Olivetti Buildings, 80078 Pozzuoli, NA, Italy.
authors.forename: P
authors.initials: P
authors.lastname: La Manna
authors.affiliation: Institute of Biosciences and Bio Resources, National Research Council of Italy, via P. Castellino 111, 80131 Naples, NA, Italy.
authors.forename: S
authors.initials: S
authors.lastname: Margarucci
authors.affiliation: Hematology, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Via di Grottarossa, n. 1035, 00189 Rome, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Tafuri
authors.affiliation: Institute of Biosciences and Bio Resources, National Research Council of Italy, via P. Castellino 111, 80131 Naples, NA, Italy.
authors.forename: G
authors.initials: G
authors.lastname: Peluso
mesh_terms: D002460:Cell Line; D045744:Cell Line, Tumor; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D016018:Least-Squares Analysis; D008297:Male; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D011467:Prostate / Q000737:chemistry / Q000166:cytology*; D011471:Prostatic Neoplasms / Q000473:pathology*; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D059010:Single-Cell Analysis / Q000379:methods*; D013059:Spectrum Analysis, Raman / Q000379:methods*
keywords: Chemometrics; Prostate cancer; Raman imaging; Raman spectroscopy; Single cell spectroscopy