Sciact
  • EN
  • RU

Blood Serum and Erythrocyte Lipidomic Profiling Revealed Diagnostic Biomarkers in Patients with Early Stages of CRC and Adenomatous Polyps Conference Abstracts

Conference 28th United European Gastroenterology Week Virtual 2020
11-13 Oct 2020 , Online
Journal United European Gastroenterology Journal
ISSN: 2050-6406 , E-ISSN: 2050-6414
Output data Year: 2020, Volume: 8, Number: 8_suppl, Pages: 527 Pages count : 1 DOI: 10.1177/2050640620927345
Tags COLORECTAL CANCER, FATTY ACIDS, EARLY STAGES
Authors Kruchinina M.V. 1 , Gromov A.A. 1 , Kruchinin V.N. 2 , Shashkov M.V. 3 , Sokolova A.S. 4 , Shestov A.A. 5
Affiliations
1 Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology & Genetics, Siberian Branch of the Russian Academy of Sciences
2 Rzhanov Institute of Semiconductor Physics, Siberian Branch of the Russian Academy of Sciences
3 Boreskov Institute of Catalysis, Siberian Branch of the Russian Academy of Sciences
4 Vorozhtzov Institute of Organic Chemistry, Siberian Branch of the Russian Academy of Science, 9, Academician Lavrentiev Ave., Novosibirsk, 630090
5 Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States

Abstract: Objective: A) To investigate if discriminant lipidomics could be used as a potential diagnostic tool for early stages of colorectal cancer (esCRC) and precancerous condition adenomatous polyps (AP). B) to create a list of fatty acids (FAs) in the erythrocyte membranes (Er) and in blood serum (BS), the levels of which can be used as biomarkers of esCRC and AP. C) To investigate the accuracy of machine learning methods and different FAs sets to classify esCRC and AP patients from healthy individuals. Aims & Methods: A total of 65 CRC patients with disease stages 1 and 2, as well as 25 patients with adenomatous polyps, and 35 conditionally healthy persons were included. The analysis of the Er and BS fatty acids (FAs) composition has been carried out using a gas chromatography-mass spectrometry (GC/MS) system based on the Agilent 7000B Triple Quadrupole (USA). Measured sets of FAs and two machine learning methods (support vector machine and random forest) were used to classify esCRC and AP patients from healthy participants as well as esCRC patients from AP. Results: We have determined the levels of >30 FAs and their ratios in BS and Er membranes for the proband groups...
Cite: Kruchinina M.V. , Gromov A.A. , Kruchinin V.N. , Shashkov M.V. , Sokolova A.S. , Shestov A.A.
Blood Serum and Erythrocyte Lipidomic Profiling Revealed Diagnostic Biomarkers in Patients with Early Stages of CRC and Adenomatous Polyps
United European Gastroenterology Journal. 2020. V.8. N8_suppl. P.527. DOI: 10.1177/2050640620927345 Scopus РИНЦ OpenAlex
Files: Full text from publisher
Dates:
Published print: Oct 1, 2020
Published online: Oct 10, 2020
Identifiers:
Scopus: 2-s2.0-85092753863
Elibrary: 44090671
OpenAlex: W3212599147
Citing:
DB Citing
Scopus 4
OpenAlex 10
Altmetrics: