Vibrational biospectroscopy coupled with multivariate analysis extracts potentially diagnostic features in blood plasma/serum of ovarian cancer patients

Owens, Gemma and Gajjar, Ketan and Trevisan, Julio and Fogarty, Simon and Taylor, Siân E. and Da Gama-Rose, Bianca and Martin-Hirsch, Pierre Leonard and Martin, Francis Luke (2014) Vibrational biospectroscopy coupled with multivariate analysis extracts potentially diagnostic features in blood plasma/serum of ovarian cancer patients. Journal of Biophotonics, 7 (3-4). pp. 200-209. ISSN 1864-063X

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Abstract

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.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Biophotonics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200
Subjects:
ID Code:
81137
Deposited By:
Deposited On:
31 Aug 2016 15:50
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Apr 2020 04:51