Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractStudy of confounding factors influence on lung cancer diagnostics effectiveness using gas chromatography-mass spectrometry analysis of exhaled breath    Next Abstract"Volatile Compounds Content, Physicochemical Parameters, and Antioxidant Activity of Beers with Addition of Mango Fruit (Mangifera Indica)" »

Int J Mol Sci


Title:Selectivity of Exhaled Breath Biomarkers of Lung Cancer in Relation to Cancer of Other Localizations
Author(s):Gashimova EM; Temerdashev AZ; Perunov DV; Porkhanov VA; Polyakov IS; Dmitrieva EV;
Address:"Department of Analytical Chemistry, Kuban State University, Stavropol'skaya St. 149, Krasnodar 350040, Russia. Research Institute-Regional Clinical Hospital N degrees 1 n.a. Prof. S.V. Ochapovsky, 1 May St. 167, Krasnodar 350086, Russia"
Journal Title:Int J Mol Sci
Year:2023
Volume:20230828
Issue:17
Page Number: -
DOI: 10.3390/ijms241713350
ISSN/ISBN:1422-0067 (Electronic) 1422-0067 (Linking)
Abstract:"Lung cancer is a leading cause of death worldwide, mostly due to diagnostics in the advanced stage. Therefore, the development of a quick, simple, and non-invasive diagnostic tool to identify cancer is essential. However, the creation of a reliable diagnostic tool is possible only in case of selectivity to other diseases, particularly, cancer of other localizations. This paper is devoted to the study of the variability of exhaled breath samples among patients with lung cancer and cancer of other localizations, such as esophageal, breast, colorectal, kidney, stomach, prostate, cervix, and skin. For this, gas chromatography-mass spectrometry (GC-MS) was used. Two classification models were built. The first model separated patients with lung cancer and cancer of other localizations. The second model classified patients with lung, esophageal, breast, colorectal, and kidney cancer. Mann-Whitney U tests and Kruskal-Wallis H tests were applied to identify differences in investigated groups. Discriminant analysis (DA), gradient-boosted decision trees (GBDT), and artificial neural networks (ANN) were applied to create the models. In the case of classifying lung cancer and cancer of other localizations, average sensitivity and specificity were 68% and 69%, respectively. However, the accuracy of classifying groups of patients with lung, esophageal, breast, colorectal, and kidney cancer was poor"
Keywords:"Female Male Humans *Lung Neoplasms/diagnosis *Carcinoma, Renal Cell *Kidney Neoplasms Biomarkers *Colorectal Neoplasms Gc-ms cancer biomarkers diagnostics exhaled breath volatile organic compounds;"
Notes:"MedlineGashimova, Elina M Temerdashev, Azamat Z Perunov, Dmitry V Porkhanov, Vladimir A Polyakov, Igor S Dmitrieva, Ekaterina V eng 22-13-20018/Russian Science Foundation and Kuban Scientific Foundation/ Switzerland 2023/09/09 Int J Mol Sci. 2023 Aug 28; 24(17):13350. doi: 10.3390/ijms241713350"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 19-12-2024