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 Abstract"Toxicity of precocene-2 for the American dog tick, Dermacentor variabilis (acari: Ixodidae)"    Next AbstractRecruitment variation disrupts the stability of alternative life histories in an exploited salmon population »

J Chromatogr B Analyt Technol Biomed Life Sci


Title:Prostate cancer screening using chemometric processing of GC-MS profiles obtained in the headspace above urine samples
Author(s):Deev V; Solovieva S; Andreev E; Protoshchak V; Karpushchenko E; Sleptsov A; Kartsova L; Bessonova E; Legin A; Kirsanov D;
Address:"Institute of Chemistry, Saint-Petersburg State University, Peterhof, Universitetsky Prospect, 26, Saint-Petersburg 198504, Russia. Urology Clinic of S.M. Kirov Military Medical Academy, ul. Akademika Lebedeva 6, Saint-Petersburg 194044, Russia. Institute of Chemistry, Saint-Petersburg State University, Peterhof, Universitetsky Prospect, 26, Saint-Petersburg 198504, Russia. Electronic address: d.kirsanov@gmail.com"
Journal Title:J Chromatogr B Analyt Technol Biomed Life Sci
Year:2020
Volume:20200801
Issue:
Page Number:122298 -
DOI: 10.1016/j.jchromb.2020.122298
ISSN/ISBN:1873-376X (Electronic) 1570-0232 (Linking)
Abstract:"The development of screening methods for various types of cancer is of utmost importance as the early diagnostics of these diseases significantly increases the chances for patient's successful medical treatment and recovery. In this study we have developed the procedure for chromatographic profiling of urine samples based on solid-phase microextraction and GC-MS. 50 urine samples (20 from the patients with biopsy conformed prostate cancer and 30 from control group) were studied in the optimized experimental conditions. Application of chemometric classification algorithms such as k-nearest neighbors and partial least squares-discriminant analysis allowed construction of predictive models yielding very high sensitivity, specificity and accuracy values all close to 100%. This gives a good promise for further validation of this approach with a broader sample sets"
Keywords:"Biomarkers, Tumor/*urine Early Detection of Cancer/*methods Gas Chromatography-Mass Spectrometry/*methods Humans Male Prostatic Neoplasms/*diagnosis/urine Reproducibility of Results Sensitivity and Specificity Solid Phase Microextraction Volatile Organic;"
Notes:"MedlineDeev, Vladislav Solovieva, Svetlana Andreev, Evgeny Protoshchak, Vladimir Karpushchenko, Evgeny Sleptsov, Aleksander Kartsova, Liudmila Bessonova, Elena Legin, Andrey Kirsanov, Dmitry eng Netherlands 2020/08/11 J Chromatogr B Analyt Technol Biomed Life Sci. 2020 Oct 15; 1155:122298. doi: 10.1016/j.jchromb.2020.122298. Epub 2020 Aug 1"

 
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 17-11-2024