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Biochemical Markers of Saliva in Lung Cancer: Diagnostic and Prognostic Perspectives

The aim of the work is to study the metabolic characteristics of saliva in lung cancer for use in early diagnosis and determining the prognosis of the disease. The patient group included 425 lung cancer patients, 168 patients with non-cancerous lung diseases, and 550 healthy volunteers. Saliva sampl...

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Autores principales: Bel’skaya, Lyudmila V., Sarf, Elena A., Kosenok, Victor K., Gundyrev, Ivan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235830/
https://www.ncbi.nlm.nih.gov/pubmed/32230883
http://dx.doi.org/10.3390/diagnostics10040186
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author Bel’skaya, Lyudmila V.
Sarf, Elena A.
Kosenok, Victor K.
Gundyrev, Ivan A.
author_facet Bel’skaya, Lyudmila V.
Sarf, Elena A.
Kosenok, Victor K.
Gundyrev, Ivan A.
author_sort Bel’skaya, Lyudmila V.
collection PubMed
description The aim of the work is to study the metabolic characteristics of saliva in lung cancer for use in early diagnosis and determining the prognosis of the disease. The patient group included 425 lung cancer patients, 168 patients with non-cancerous lung diseases, and 550 healthy volunteers. Saliva samples were collected from all participants in the experiment before treatment and 34 biochemical saliva parameters were determined. Participants were monitored for six years to assess survival rates. The statistical analysis was performed by means of Statistica 10.0 (StatSoft) program and R package (version 3.2.3). To construct the classifier, the Random Forest method was used; the classification quality was assessed using the cross-validation method. Prognostic factors were analyzed by multivariate analysis using Cox’s proportional hazard model in a backward step-wise fashion to adjust for potential confounding factors. A complex of metabolic changes occurring in saliva in lung cancer is described. Seven biochemical parameters were identified (catalase, triene conjugates, Schiff bases, pH, sialic acids, alkaline phosphatase, chlorides), which were used to construct the classifier. The sensitivity and specificity of the method were 69.5% and 87.5%, which is practically not inferior to the diagnostic characteristics of markers routinely used in the diagnosis of lung cancer. Significant independent factors in the poor prognosis of lung cancer are imidazole compounds (ICs) above 0.478 mmol/L and salivary lactate dehydrogenase activity below 545 U/L. Saliva has been shown to have great potential for the development of diagnostic and prognostic tests for lung cancer.
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spelling pubmed-72358302020-05-22 Biochemical Markers of Saliva in Lung Cancer: Diagnostic and Prognostic Perspectives Bel’skaya, Lyudmila V. Sarf, Elena A. Kosenok, Victor K. Gundyrev, Ivan A. Diagnostics (Basel) Article The aim of the work is to study the metabolic characteristics of saliva in lung cancer for use in early diagnosis and determining the prognosis of the disease. The patient group included 425 lung cancer patients, 168 patients with non-cancerous lung diseases, and 550 healthy volunteers. Saliva samples were collected from all participants in the experiment before treatment and 34 biochemical saliva parameters were determined. Participants were monitored for six years to assess survival rates. The statistical analysis was performed by means of Statistica 10.0 (StatSoft) program and R package (version 3.2.3). To construct the classifier, the Random Forest method was used; the classification quality was assessed using the cross-validation method. Prognostic factors were analyzed by multivariate analysis using Cox’s proportional hazard model in a backward step-wise fashion to adjust for potential confounding factors. A complex of metabolic changes occurring in saliva in lung cancer is described. Seven biochemical parameters were identified (catalase, triene conjugates, Schiff bases, pH, sialic acids, alkaline phosphatase, chlorides), which were used to construct the classifier. The sensitivity and specificity of the method were 69.5% and 87.5%, which is practically not inferior to the diagnostic characteristics of markers routinely used in the diagnosis of lung cancer. Significant independent factors in the poor prognosis of lung cancer are imidazole compounds (ICs) above 0.478 mmol/L and salivary lactate dehydrogenase activity below 545 U/L. Saliva has been shown to have great potential for the development of diagnostic and prognostic tests for lung cancer. MDPI 2020-03-27 /pmc/articles/PMC7235830/ /pubmed/32230883 http://dx.doi.org/10.3390/diagnostics10040186 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bel’skaya, Lyudmila V.
Sarf, Elena A.
Kosenok, Victor K.
Gundyrev, Ivan A.
Biochemical Markers of Saliva in Lung Cancer: Diagnostic and Prognostic Perspectives
title Biochemical Markers of Saliva in Lung Cancer: Diagnostic and Prognostic Perspectives
title_full Biochemical Markers of Saliva in Lung Cancer: Diagnostic and Prognostic Perspectives
title_fullStr Biochemical Markers of Saliva in Lung Cancer: Diagnostic and Prognostic Perspectives
title_full_unstemmed Biochemical Markers of Saliva in Lung Cancer: Diagnostic and Prognostic Perspectives
title_short Biochemical Markers of Saliva in Lung Cancer: Diagnostic and Prognostic Perspectives
title_sort biochemical markers of saliva in lung cancer: diagnostic and prognostic perspectives
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235830/
https://www.ncbi.nlm.nih.gov/pubmed/32230883
http://dx.doi.org/10.3390/diagnostics10040186
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