| Autor: |
Giamougiannis P; Department of Obstetrics and Gynaecology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, PR2 9HT, UK.; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE, UK., Morais CLM; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE, UK., Grabowska R; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE, UK., Ashton KM; Department of Pathology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, PR2 9HT, UK., Wood NJ; Department of Obstetrics and Gynaecology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, PR2 9HT, UK., Martin-Hirsch PL; Department of Obstetrics and Gynaecology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, PR2 9HT, UK., Martin FL; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE, UK. flm13@biocel.uk.; Biocel Ltd, Hull, HU10 7TS, UK. flm13@biocel.uk. |
| Abstrakt: |
Biofluids, such as blood plasma or serum, are currently being evaluated for cancer detection using vibrational spectroscopy. These fluids contain information of key biomolecules, such as proteins, lipids, carbohydrates and nucleic acids, that comprise spectrochemical patterns to differentiate samples. Raman is a water-free and practically non-destructive vibrational spectroscopy technique, capable of recording spectrochemical fingerprints of biofluids with minimum or no sample preparation. Herein, we compare the performance of these two common biofluids (blood plasma and serum) together with ascitic fluid, towards ovarian cancer detection using Raman microspectroscopy. Samples from thirty-eight patients were analysed (n = 18 ovarian cancer patients, n = 20 benign controls) through different spectral pre-processing and discriminant analysis techniques. Ascitic fluid provided the best class separation in both unsupervised and supervised discrimination approaches, where classification accuracies, sensitivities and specificities above 80% were obtained, in comparison to 60-73% with plasma or serum. Ascitic fluid appears to be rich in collagen information responsible for distinguishing ovarian cancer samples, where collagen-signalling bands at 1004 cm -1 (phenylalanine), 1334 cm -1 (CH 3 CH 2 wagging vibration), 1448 cm -1 (CH 2 deformation) and 1657 cm -1 (Amide I) exhibited high statistical significance for class differentiation (P < 0.001). The efficacy of vibrational spectroscopy, in particular Raman spectroscopy, combined with ascitic fluid analysis, suggests a potential diagnostic method for ovarian cancer. Raman microspectroscopy analysis of ascitic fluid allows for discrimination of patients with benign gynaecological conditions or ovarian cancer. |
