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FT-Raman and FTIR spectroscopy as a tools showing marker of platinum-resistant phenomena in women suffering from ovarian cancer.
Kluz-Barlowska, Marta; Kluz, Tomasz; Paja, Wieslaw; Pancerz, Krzysztof; Laczynska-Madera, Monika; Miziak, Paulina; Cebulski, Jozef; Depciuch, Joanna.
Afiliação
  • Kluz-Barlowska M; Department of Pathology, Fryderyk Chopin University Hospital, F. Szopena 2, 35-055, Rzeszow, Poland. marta.kluz@interia.pl.
  • Kluz T; Department of Gynecology, Gynecology Oncology and Obstetrics, Fryderyk Chopin University Hospital, F. Szopena 2, 35-055, Rzeszow, Poland.
  • Paja W; Institute of Medical Sciences, Medical College of Rzeszow University, Kopisto 2a, 35-959, Rzeszow, Poland.
  • Pancerz K; Institute of Computer Science, College of Natural Sciences, University of Rzeszow, Rzeszow, Poland.
  • Laczynska-Madera M; Institute of Philosophy, John Paul II Catholic University of Lublin, Lublin, Poland.
  • Miziak P; Department of Gynecology, Gynecology Oncology and Obstetrics, Fryderyk Chopin University Hospital, F. Szopena 2, 35-055, Rzeszow, Poland.
  • Cebulski J; Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093, Lublin, Poland.
  • Depciuch J; Institute of Physics, College of Natural Sciences, University of Rzeszow, 35959, Rzeszow, Poland.
Sci Rep ; 14(1): 11025, 2024 05 14.
Article em En | MEDLINE | ID: mdl-38744861
ABSTRACT
Platinum-resistant phenomena in ovarian cancer is very dangerous for women suffering from this disease, because reduces the chances of complete recovery. Unfortunately, until now there are no methods to verify whether a woman with ovarian cancer is platinum-resistant. Importantly, histopathology images also were not shown differences in the ovarian cancer between platinum-resistant and platinum-sensitive tissues. Therefore, in this study, Fourier Transform InfraRed (FTIR) and FT-Raman spectroscopy techniques were used to find chemical differences between platinum-resistant and platinum-sensitive ovarian cancer tissues. Furthermore, Principal Component Analysis (PCA) and machine learning methods were performed to show if it possible to differentiate these two kind of tissues as well as to propose spectroscopy marker of platinum-resistant. Indeed, obtained results showed, that in platinum-resistant ovarian cancer tissues higher amount of phospholipids, proteins and lipids were visible, however when the ratio between intensities of peaks at 1637 cm-1 (FTIR) and at 2944 cm-1 (Raman) and every peaks in spectra was calculated, difference between groups of samples were not noticed. Moreover, structural changes visible as a shift of peaks were noticed for C-O-C, C-H bending and amide II bonds. PCA clearly showed, that PC1 can be used to differentiate platinum-resistant and platinum-sensitive ovarian cancer tissues, while two-trace two-dimensional correlation spectra (2T2D-COS) showed, that only in amide II, amide I and asymmetric CH lipids vibrations correlation between two analyzed types of tissues were noticed. Finally, machine learning algorithms showed, that values of accuracy, sensitivity and specificity were near to 100% for FTIR and around 95% for FT-Raman spectroscopy. Using decision tree peaks at 1777 cm-1, 2974 cm-1 (FTIR) and 1714 cm-1, 2817 cm-1 (FT-Raman) were proposed as spectroscopy marker of platinum-resistant.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Análise Espectral Raman / Resistencia a Medicamentos Antineoplásicos / Análise de Componente Principal Limite: Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Análise Espectral Raman / Resistencia a Medicamentos Antineoplásicos / Análise de Componente Principal Limite: Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article