ArticleAnalytical and bioanalytical chemistry2021
A comparative analysis of different biofluids towards ovarian cancer diagnosis using Raman microspectroscopy.
Article in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Distinct Spectral Profiles of Pleural Effusions from Malignant Tumors Using Raman Spectroscopy.International journal of molecular sciences · 2025Article
- Is Raman Spectroscopy of Fingernails a Promising Tool for Diagnosing Systemic and Dermatological Diseases in Adult and Pediatric Populations?Medicina (Kaunas, Lithuania) · 2024Review
- Tumor versus Tumor Cell Targeting in Metal-Based Nanoparticles for Cancer Theranostics.International journal of molecular sciences · 2024Review
- RETRACTED: Gynecological Healthcare: Unveiling Pelvic Masses Classification through Evolutionary Gravitational Neocognitron Neural Network Optimized with Nomadic People Optimizer.Diagnostics (Basel, Switzerland) · 2023Article
- Evaluation of the Cytotoxic Effect of PdInternational journal of molecular sciences · 2023Article
- Detection of ovarian cancer (± neo-adjuvant chemotherapy effects) via ATR-FTIR spectroscopy: comparative analysis of blood and urine biofluids in a large patient cohort.Analytical and bioanalytical chemistry · 2021Article
- Machine learning-based LIBS spectrum analysis of human blood plasma allows ovarian cancer diagnosis.Biomedical optics express · 2021Article
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Authors and funding
7 authors.
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Abstract
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
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