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Kralova K, Vrtelka O, Fouskova M, Hribek P, Bunganic B, Miskovicova M, Urbanek P, Zavoral M, Petruzelka L, Habartova L, Setnicka V. Raman spectroscopy and Raman optical activity of blood plasma for differential diagnosis of gastrointestinal cancers. Spectrochim Acta A Mol Biomol Spectrosc 2024; 305:123430. [PMID: 37776835 DOI: 10.1016/j.saa.2023.123430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 08/26/2023] [Accepted: 09/18/2023] [Indexed: 10/02/2023]
Abstract
Improving the early diagnosis of gastrointestinal cancers is a crucial step in reducing their mortality. Given the non-specificity of the initial symptoms, the ability of any diagnostic method to differentiate between various types of gastrointestinal cancers also needs to be addressed. To detect disease-specific alterations in biomolecular structure and composition of the blood plasma, we have implemented an approach combining Raman spectroscopy and its conformation-sensitive polarized version, Raman optical activity, to analyze blood plasma samples of patients suffering from three different types of gastrointestinal cancer - hepatocellular, colorectal and pancreatic. First, we aimed to discriminate any type of gastrointestinal cancer from healthy control individuals; inthenext step, the focus was on differentiating among the three cancer types studied. The more straightforward of the two statistical approaches tested, the combination of linear discriminant analysis and principal component analysis applied to the entire spectral dataset, allowed the discrimination of cancer and control samples with 87% accuracy. The three gastrointestinal cancers were classified with an overall accuracy of 76%. The second method, the linear discriminant analysis applied to a selection of spectral bands, yielded even higher values. Cancer and control samples were distinguished with 89% accuracy and hepatocellular, colorectal and pancreatic cancer with an overall accuracy of 87%. The results obtained in our study suggest that the proposed approach may become a disease-specific diagnostic tool in daily clinical practice.
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Affiliation(s)
- Katerina Kralova
- Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology Prague, Technicka 5, 166 28 Prague 6, Czech Republic.
| | - Ondrej Vrtelka
- Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology Prague, Technicka 5, 166 28 Prague 6, Czech Republic
| | - Marketa Fouskova
- Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology Prague, Technicka 5, 166 28 Prague 6, Czech Republic
| | - Petr Hribek
- Military University Hospital Prague, Department of Medicine 1st Faculty of Medicine Charles University and Military University Hospital Prague, U Vojenske nemocnice 1200, 169 02 Prague 6, Czech Republic; Department of Internal Medicine, Faculty of Military Health Sciences in Hradec Kralove, University of Defense, Trebesska 1575, 500 01 Hradec Kralove, Czech Republic
| | - Bohus Bunganic
- Military University Hospital Prague, Department of Medicine 1st Faculty of Medicine Charles University and Military University Hospital Prague, U Vojenske nemocnice 1200, 169 02 Prague 6, Czech Republic
| | - Michaela Miskovicova
- Department of Oncology, First Faculty of Medicine of Charles University and General University Hospital in Prague, U Nemocnice 2, 128 08 Prague 2, Czech Republic
| | - Petr Urbanek
- Military University Hospital Prague, Department of Medicine 1st Faculty of Medicine Charles University and Military University Hospital Prague, U Vojenske nemocnice 1200, 169 02 Prague 6, Czech Republic
| | - Miroslav Zavoral
- Military University Hospital Prague, Department of Medicine 1st Faculty of Medicine Charles University and Military University Hospital Prague, U Vojenske nemocnice 1200, 169 02 Prague 6, Czech Republic
| | - Lubos Petruzelka
- Department of Oncology, First Faculty of Medicine of Charles University and General University Hospital in Prague, U Nemocnice 2, 128 08 Prague 2, Czech Republic
| | - Lucie Habartova
- Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology Prague, Technicka 5, 166 28 Prague 6, Czech Republic
| | - Vladimir Setnicka
- Department of Analytical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology Prague, Technicka 5, 166 28 Prague 6, Czech Republic.
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Smirnova TA, Viskin A, Hoskova M, Habartova L, Setnicka V, Cejnar P, Kuckova S. Comparison of proteomic approaches used for the detection of potential biomarkers of Alzheimer's disease in blood plasma. J Sep Sci 2021; 44:4132-4140. [PMID: 34545700 DOI: 10.1002/jssc.202100468] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 09/03/2021] [Accepted: 09/12/2021] [Indexed: 11/10/2022]
Abstract
At present, Alzheimer's disease is detected mainly using psychological tests, which can only confirm the disease in its more advanced phases. Therefore, bioanalytical possibilities for detecting this disease earlier are being investigated. To date, the results of analyses, which focus mainly on the study of lipids and proteins either in cerebrospinal fluid or much less often in blood plasma, do not provide satisfactory results. In addition, cerebrospinal fluid sampling is uncomfortable for the patients and involves many health risks. In this work, we deal with proteomic analysis using Matrix-Assisted Laser Desorption/Ionisation-Time of Flight and Liquid Chromatography coupled to tandem Mass Spectrometry of blood plasma with a focus on various ways of preanalytical sample treatments. This should lead to results improvement and facilitate the subsequent evaluation using principal component analysis and partial least squares discriminant analysis. The obtained results indicate the direction of further research, namely the study of interactions between proteins and lipids contained in blood plasma. These substances may be regarded as potential biomarkers allowing for the diagnosis of Alzheimer´s disease even in its early stages.
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Affiliation(s)
- Tatiana Anatolievna Smirnova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Prague, Czech Republic
| | - Anton Viskin
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Prague, Czech Republic
| | - Martina Hoskova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Prague, Czech Republic
| | - Lucie Habartova
- Department of Analytical Chemistry, University of Chemistry and Technology Prague, Prague, Czech Republic
| | - Vladimir Setnicka
- Department of Analytical Chemistry, University of Chemistry and Technology Prague, Prague, Czech Republic
| | - Pavel Cejnar
- Department of Computing and Control Engineering, University of Chemistry and Technology Prague, Prague, Czech Republic
| | - Stepanka Kuckova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Prague, Czech Republic
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