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Raman spectroscopy of blood and urine liquid biopsies for ovarian cancer diagnosis: identification of chemotherapy effects.

Panagiotis GiamougiannisRaissa V O SilvaDaniel Lucas Dantas de FreitasKassio Michell Gomes de LimaAntonios AnagnostopoulosGeorgios AngelopoulosRaj NaikNicholas J WoodPierre L Martin-HirschFrancis Luke Martin
Published in: Journal of biophotonics (2021)
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.
Keyphrases
  • raman spectroscopy
  • machine learning
  • deep learning
  • case report
  • optical coherence tomography
  • computed tomography
  • magnetic resonance imaging
  • young adults
  • ionic liquid
  • rectal cancer
  • magnetic resonance