AI Article Synopsis
- Blood plasma and serum Raman spectroscopy has shown promising results in pilot studies for diagnosing ovarian cancer, with this study comparing these fluids along with urine in a large sample size.
- Principal component analysis revealed significant spectral differences between untreated ovarian cancer patients and those who had undergone neo-adjuvant chemotherapy (NACT).
- Classification algorithms applied in the study achieved up to 73% sensitivity for plasma, indicating the potential of Raman spectroscopy not only for diagnosis but also for monitoring treatment response.
Article Abstract
Blood plasma and serum Raman spectroscopy for ovarian cancer diagnosis has been applied in pilot studies, with promising results. Herein, a comparative analysis of these biofluids, with a novel assessment of urine, was conducted by Raman spectroscopy application in a large patient cohort. Spectra were obtained through samples measurements from 116 ovarian cancer patients and 307 controls. Principal component analysis identified significant spectral differences between cancers without previous treatment (n = 71) and following neo-adjuvant chemotherapy (NACT), (n = 45). Application of five classification algorithms achieved up to 73% sensitivity for plasma, high specificities and accuracies for both blood biofluids, and lower performance for urine. A drop in sensitivities for the NACT group in plasma and serum, with an opposite trend in urine, suggest that Raman spectroscopy could identify chemotherapy-related changes. This study confirms that biofluids' Raman spectroscopy can contribute in ovarian cancer's diagnostic work-up and demonstrates its potential in monitoring treatment response.
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| http://dx.doi.org/10.1002/jbio.202100195 | DOI Listing |
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