Journal of Biophotonics · 2013 · 95 citations · 42 references
Natural SciencesOncologyBiomedical OpticsSpectroscopic AnalysisSpectroscopyInfrared SpectroscopyMolecular SpectroscopyOptical SpectroscopyRaman SpectroscopySpectral Data ProcessingVibrational SpectroscopyFourier Transform Raman SpectroscopyMultivariate Data AnalysisOvarian Cancer DetectionRaman Data AnalysisRaman SpectraRaman Spectral InterpretationRaman Spectral ProcessingSpectroscopic Biomarker Detection
Despite numerous advances in "omics" research, early detection of ovarian cancer still remains a challenge. The aim of this study was to determine whether attenuated total reflection Fourier-transform infrared (ATR-FTIR) or Raman spectroscopy could characterise alterations in the biomolecular signatures of human blood plasma/serum obtained from ovarian cancer patients compared to non-cancer controls. Blood samples isolated from ovarian cancer patients (n = 30) and healthy controls (n = 30) were analysed using ATR-FTIR spectroscopy. For comparison, a smaller cohort of samples (n = 8) were analysed using an InVia Renishaw Raman spectrometer. Resultant spectra were pre-processed prior to being inputted into principal component analysis (PCA) and linear discriminant analysis (LDA). Statistically significant differences (P < 0.001) were observed between spectra of ovarian cancer versus control subjects for both biospectroscopy methods. Using a support vector machine classifier for Raman spectra of blood plasma, a diagnostic accuracy of 74% was achieved, while the same classifier showed 93.3% accuracy for IR spectra of blood plasma. These observations suggest that a biospectroscopy approach could be applied to identify spectral alterations associated with the presence of insidious ovarian cancer.
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