ANTI-GLYCAN ANTIBODIES IN THE DIAGNOSIS OF GASTRIC CANCER

Objective: Gastric cancer (GC) is traditionally considered a difficult disease to diagnose and treat. The search for new markers for GC is an extremely urgent purpose. Previously has been shown, that serum anti-glycan antibodies (AGAT) are very large reservoir of markers which can be reliably detect...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Nadezhda Shilova, Svetlana Polyakova, Alexander Lipatnikov, Maxim Navakouski, Nicolai Bovin, Maxim Nikulin, Nicolai Tupitsyn
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Diseases of the blood and blood-forming organs RC633-647.5
Acceso en línea:	https://doaj.org/article/98f198499c734e4d9d5fe40d37b2a46a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:98f198499c734e4d9d5fe40d37b2a46a
record_format	dspace
spelling	oai:doaj.org-article:98f198499c734e4d9d5fe40d37b2a46a2021-11-10T04:32:52ZANTI-GLYCAN ANTIBODIES IN THE DIAGNOSIS OF GASTRIC CANCER2531-137910.1016/j.htct.2021.10.978https://doaj.org/article/98f198499c734e4d9d5fe40d37b2a46a2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2531137921011251https://doaj.org/toc/2531-1379Objective: Gastric cancer (GC) is traditionally considered a difficult disease to diagnose and treat. The search for new markers for GC is an extremely urgent purpose. Previously has been shown, that serum anti-glycan antibodies (AGAT) are very large reservoir of markers which can be reliably detected using an instrument called glycoarray (PGA). A “;signature”; approach, i.e. searching of combinations of diagnostically significant markers – AGAT detected by PGA, is used in this study. Methodology: The cohort of the serum of apparently healthy donors from the National Medical Research Center of Oncology (NMRC) (n = 55, 69%/31% - m/f) and previously untreated patients with an established diagnosis of GC I-IV stages from the NMRC (n = 146, 52%/48% - m/f) were collected. To study serum AGATs glycoarray containing 300 different glycans was used. To search for a diagnostic signature, the mathematical apparatus “;Immunoruler”; [Int. J. Bioinformatics Res. Appl., 7, 402-426 (2011)] was applied. Results: Using glycoarray IgG and IgM profiles of donors and GC patients were obtained and data quality control has been performed. The mathematical apparatus Immunoruler was applied to the resulting database and a signature was obtained. It includes antibodies to 11 glycans: 7 IgM (directed to KDNb6’LN-C3, b3’SLN, LN-C8, Aa4A, TF, 3’SiaLeC and Tn3Su) and 4 IgG (GN6Su, TF, para-Fs and bGU). The quality of the developed diagnostic approach was assessed: the AUC value was 0.87, and the accuracy was 0.81. Conclusion: Thus, the use of glycoarray technology in combination with a mathematical signature search apparatus has made it possible to find a reliable combination of molecular markers for the diagnosis of gastric cancer. Since the tumor can dramatically change as it progresses, the AGAT profile can also change. This opens up the possibility for a differentiated diagnosis of GC depending on the stage of the disease and, first of all, to develop early diagnosis of this disease.Nadezhda ShilovaSvetlana PolyakovaAlexander LipatnikovMaxim NavakouskiNicolai BovinMaxim NikulinNicolai TupitsynElsevierarticleDiseases of the blood and blood-forming organsRC633-647.5ENHematology, Transfusion and Cell Therapy, Vol 43, Iss , Pp S19- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Diseases of the blood and blood-forming organs RC633-647.5
spellingShingle	Diseases of the blood and blood-forming organs RC633-647.5 Nadezhda Shilova Svetlana Polyakova Alexander Lipatnikov Maxim Navakouski Nicolai Bovin Maxim Nikulin Nicolai Tupitsyn ANTI-GLYCAN ANTIBODIES IN THE DIAGNOSIS OF GASTRIC CANCER
description	Objective: Gastric cancer (GC) is traditionally considered a difficult disease to diagnose and treat. The search for new markers for GC is an extremely urgent purpose. Previously has been shown, that serum anti-glycan antibodies (AGAT) are very large reservoir of markers which can be reliably detected using an instrument called glycoarray (PGA). A “;signature”; approach, i.e. searching of combinations of diagnostically significant markers – AGAT detected by PGA, is used in this study. Methodology: The cohort of the serum of apparently healthy donors from the National Medical Research Center of Oncology (NMRC) (n = 55, 69%/31% - m/f) and previously untreated patients with an established diagnosis of GC I-IV stages from the NMRC (n = 146, 52%/48% - m/f) were collected. To study serum AGATs glycoarray containing 300 different glycans was used. To search for a diagnostic signature, the mathematical apparatus “;Immunoruler”; [Int. J. Bioinformatics Res. Appl., 7, 402-426 (2011)] was applied. Results: Using glycoarray IgG and IgM profiles of donors and GC patients were obtained and data quality control has been performed. The mathematical apparatus Immunoruler was applied to the resulting database and a signature was obtained. It includes antibodies to 11 glycans: 7 IgM (directed to KDNb6’LN-C3, b3’SLN, LN-C8, Aa4A, TF, 3’SiaLeC and Tn3Su) and 4 IgG (GN6Su, TF, para-Fs and bGU). The quality of the developed diagnostic approach was assessed: the AUC value was 0.87, and the accuracy was 0.81. Conclusion: Thus, the use of glycoarray technology in combination with a mathematical signature search apparatus has made it possible to find a reliable combination of molecular markers for the diagnosis of gastric cancer. Since the tumor can dramatically change as it progresses, the AGAT profile can also change. This opens up the possibility for a differentiated diagnosis of GC depending on the stage of the disease and, first of all, to develop early diagnosis of this disease.
format	article
author	Nadezhda Shilova Svetlana Polyakova Alexander Lipatnikov Maxim Navakouski Nicolai Bovin Maxim Nikulin Nicolai Tupitsyn
author_facet	Nadezhda Shilova Svetlana Polyakova Alexander Lipatnikov Maxim Navakouski Nicolai Bovin Maxim Nikulin Nicolai Tupitsyn
author_sort	Nadezhda Shilova
title	ANTI-GLYCAN ANTIBODIES IN THE DIAGNOSIS OF GASTRIC CANCER
title_short	ANTI-GLYCAN ANTIBODIES IN THE DIAGNOSIS OF GASTRIC CANCER
title_full	ANTI-GLYCAN ANTIBODIES IN THE DIAGNOSIS OF GASTRIC CANCER
title_fullStr	ANTI-GLYCAN ANTIBODIES IN THE DIAGNOSIS OF GASTRIC CANCER
title_full_unstemmed	ANTI-GLYCAN ANTIBODIES IN THE DIAGNOSIS OF GASTRIC CANCER
title_sort	anti-glycan antibodies in the diagnosis of gastric cancer
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/98f198499c734e4d9d5fe40d37b2a46a
work_keys_str_mv	AT nadezhdashilova antiglycanantibodiesinthediagnosisofgastriccancer AT svetlanapolyakova antiglycanantibodiesinthediagnosisofgastriccancer AT alexanderlipatnikov antiglycanantibodiesinthediagnosisofgastriccancer AT maximnavakouski antiglycanantibodiesinthediagnosisofgastriccancer AT nicolaibovin antiglycanantibodiesinthediagnosisofgastriccancer AT maximnikulin antiglycanantibodiesinthediagnosisofgastriccancer AT nicolaitupitsyn antiglycanantibodiesinthediagnosisofgastriccancer
_version_	1718440676059774976

ANTI-GLYCAN ANTIBODIES IN THE DIAGNOSIS OF GASTRIC CANCER

Ejemplares similares