New Insights into the Multivariate Analysis of SER Spectra Collected on Blood Samples for Prostate Cancer Detection: Towards a Better Understanding of the Role Played by Different Biomolecules on Cancer Screening: A Preliminary Study.

Autor: Munteanu VC; Department of Urology, The Oncology Institute 'Prof Dr. Ion Chiricuta', 400015 Cluj-Napoca, Romania.; Department of Urology, 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.; 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania., Munteanu RA; 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.; MedFuture-Research Center for Advanced Medicine, 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania., Gulei D; MedFuture-Research Center for Advanced Medicine, 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania., Mărginean R; MedFuture-Research Center for Advanced Medicine, 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania., Schițcu VH; Department of Urology, The Oncology Institute 'Prof Dr. Ion Chiricuta', 400015 Cluj-Napoca, Romania., Onaciu A; 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.; MedFuture-Research Center for Advanced Medicine, 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania., Toma V; MedFuture-Research Center for Advanced Medicine, 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania., Știufiuc GF; Faculty of Physics, 'Babes Bolyai' University, 400084 Cluj-Napoca, Romania., Coman I; Department of Urology, 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.; Department of Urology, Clinical Municipal Hospital, 400139 Cluj-Napoca, Romania., Știufiuc RI; MedFuture-Research Center for Advanced Medicine, 'Iuliu Hatieganu' University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania.; Department of Pharmaceutical Physics-Biophysics, 'Iuliu Hațieganu' University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania.
Jazyk: angličtina
Zdroj: Cancers [Cancers (Basel)] 2022 Jun 30; Vol. 14 (13). Date of Electronic Publication: 2022 Jun 30.
DOI: 10.3390/cancers14133227
Abstrakt: It is possible to obtain diagnostically relevant data on the changes in biochemical elements brought on by cancer via the use of multivariate analysis of vibrational spectra recorded on biological fluids. Prostate cancer and control groups included in this research generated almost similar SERS spectra, which means that the values of peak intensities present in SERS spectra can only give unspecific and limited information for distinguishing between the two groups. Our diagnostic algorithm for prostate cancer (PCa) differentiation was built using principal component analysis and linear discriminant analysis (PCA-LDA) analysis of spectral data, which has been widely used in spectral data management in many studies and has shown promising results so far. In order to fully utilize the entire SERS spectrum and automatically determine the most meaningful spectral features that can be used to differentiate PCa from healthy patients, we perform a multivariate analysis on both the entire and specific spectral intervals. Using the PCA-LDA model, the prostate cancer and control groups are clearly distinguished in our investigation. The separability of the following two data sets is also evaluated using two alternative discrimination techniques: principal least squares discriminant analysis (PLS-DA) and principal component analysis-support vector machine (PCA-SVM).
Databáze: MEDLINE
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