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APLICAÇÃO DA ESPECTROMETRIA DE MASSAS COM IONIZAÇÃO POR PAPER SPRAY E MÉTODO QUIMIOMÉTRICO OPLS-DA PARA O DIAGNÓSTICO DO CÂNCER DE PRÓSTATA PELA ANÁLISE DE AMOSTRAS DE URINA

Authors :
Thifanny T. P. da Silva
Ademar D. V. Máquina
Anízia F. F. Durans
Lucas G. da Costa
Frederico G. Pinto
Timothy J. Garrett
Waldomiro Borges Neto
Source :
Química Nova, Vol 48, Iss 1 (2024)
Publication Year :
2024
Publisher :
Sociedade Brasileira de Química, 2024.

Abstract

APPLICATION OF MASS SPECTROMETRY WITH PAPER SPRAY IONIZATION AND THE OPLS-DA CHEMOMETRIC METHOD FOR THE DIAGNOSIS OF PROSTATE CANCER BY ANALYSIS OF URINE SAMPLES. In this study, paper spray ionization mass spectrometry (PSI-MS) allied to orthogonal projections on the latent structure-discrimination analysis (OPLS-DA) was employed to differentiate urine samples from patients with prostate cancer and control individuals (without prostate cancer). The parameters of sensitivity, specificity, efficiency and Matthew’s correlation coefficient determined to analyze the efficiency and quality of the OPLS-DA model obtained a value equal to 1, which means, respectively, that the model has a good performance to correctly classify true positive samples and true negatives. These results showed 100% correct classification of the samples from the training and test set, demonstrating a high efficiency of the OPLS-DA model when classifying all samples considered as belonging to the class of interest (urine from control patient) into class 1 and all samples considered as belonging to the non-interest class (urine from patients with prostate cancer) in class 0. This efficiency resulting from the application of this model suggests that the PSI-MS combined to OPLS-DA is a promisor approach for a rapid diagnosis of prostate cancer, via chemical fingerprints of urine samples.

Subjects

Subjects :
Chemistry
QD1-999

Details

Language :
English, Spanish; Castilian, Portuguese
ISSN :
16787064 and 01004042
Volume :
48
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Química Nova
Publication Type :
Academic Journal
Accession number :
edsdoj.845f6cc7bbb844aa809258c42153047c
Document Type :
article
Full Text :
https://doi.org/10.21577/0100-4042.20250018