Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Prostate cancer screening using chemometric processing of GC–MS profiles obtained in the headspace above urine samples. / Deev, Vladislav; Solovieva, Svetlana; Andreev, Evgeny; Protoshchak, Vladimir; Karpushchenko, Evgeny; Sleptsov, Aleksander; Kartsova, Liudmila; Bessonova, Elena; Legin, Andrey; Kirsanov, Dmitry.
в: Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences, Том 1155, 122298, 15.10.2020.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Prostate cancer screening using chemometric processing of GC–MS profiles obtained in the headspace above urine samples
AU - Deev, Vladislav
AU - Solovieva, Svetlana
AU - Andreev, Evgeny
AU - Protoshchak, Vladimir
AU - Karpushchenko, Evgeny
AU - Sleptsov, Aleksander
AU - Kartsova, Liudmila
AU - Bessonova, Elena
AU - Legin, Andrey
AU - Kirsanov, Dmitry
PY - 2020/10/15
Y1 - 2020/10/15
N2 - 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.
AB - 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.
KW - Chemometrics
KW - GC–MS
KW - Prostate cancer
KW - Screening
KW - VOC
KW - DIAGNOSIS
KW - MANAGEMENT
KW - SERUM
KW - MASS-SPECTROMETRY
KW - DERIVATIZATION
KW - GC-MS
KW - MAGNETIC-RESONANCE-SPECTROSCOPY
KW - HUMAN-BODY FLUIDS
KW - GAS
KW - VOLATILE ORGANIC-COMPOUNDS
UR - http://www.scopus.com/inward/record.url?scp=85089083408&partnerID=8YFLogxK
U2 - 10.1016/j.jchromb.2020.122298
DO - 10.1016/j.jchromb.2020.122298
M3 - Article
C2 - 32771969
AN - SCOPUS:85089083408
VL - 1155
JO - Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences
JF - Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences
SN - 1570-0232
M1 - 122298
ER -
ID: 61635306