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Identification of Astrocytoma Blood Serum Protein Profile

High-grade astrocytomas are some of the most common and aggressive brain cancers, whose signs and symptoms are initially non-specific. Up to the present date, there are no diagnostic tools to observe the early onset of the disease. Here, we analyzed the combination of blood serum proteins, which may...

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Autores principales: Vaitkiene, Paulina, Urbanaviciute, Ruta, Grigas, Povilas, Steponaitis, Giedrius, Tamasauskas, Arimantas, Skiriutė, Daina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017117/
https://www.ncbi.nlm.nih.gov/pubmed/31861636
http://dx.doi.org/10.3390/cells9010016
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author Vaitkiene, Paulina
Urbanaviciute, Ruta
Grigas, Povilas
Steponaitis, Giedrius
Tamasauskas, Arimantas
Skiriutė, Daina
author_facet Vaitkiene, Paulina
Urbanaviciute, Ruta
Grigas, Povilas
Steponaitis, Giedrius
Tamasauskas, Arimantas
Skiriutė, Daina
author_sort Vaitkiene, Paulina
collection PubMed
description High-grade astrocytomas are some of the most common and aggressive brain cancers, whose signs and symptoms are initially non-specific. Up to the present date, there are no diagnostic tools to observe the early onset of the disease. Here, we analyzed the combination of blood serum proteins, which may play key roles in the tumorigenesis and the progression of glial tumors. Fifty-nine astrocytoma patients and 43 control serums were analyzed using Custom Human Protein Antibody Arrays, including ten targets: ANGPT1, AREG, IGF1, IP10, MMP2, NCAM1, OPN, PAI1, TGFβ1, and TIMP1. The decision tree analysis indicates that serums ANGPT1, TIMP1, IP10, and TGFβ1 are promising combinations of targets for glioma diagnostic applications. The accuracy of the decision tree algorithm was 73.5% (75/102), which correctly classified 79.7% (47/59) astrocytomas and 65.1% (28/43) healthy controls. The analysis revealed that the relative value of osteopontin (OPN) protein level alone predicted the 12-month survival of glioblastoma (GBM) patients with the specificity of 84%, while the inclusion of the IP10 protein increased model predictability to 92.3%. In conclusion, the serum protein profiles of ANGPT1, TIMP1, IP10, and TGFβ1 were associated with the presence of astrocytoma independent of its malignancy grade, while OPN and IP10 were associated with GBM patient survival.
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spelling pubmed-70171172020-02-28 Identification of Astrocytoma Blood Serum Protein Profile Vaitkiene, Paulina Urbanaviciute, Ruta Grigas, Povilas Steponaitis, Giedrius Tamasauskas, Arimantas Skiriutė, Daina Cells Article High-grade astrocytomas are some of the most common and aggressive brain cancers, whose signs and symptoms are initially non-specific. Up to the present date, there are no diagnostic tools to observe the early onset of the disease. Here, we analyzed the combination of blood serum proteins, which may play key roles in the tumorigenesis and the progression of glial tumors. Fifty-nine astrocytoma patients and 43 control serums were analyzed using Custom Human Protein Antibody Arrays, including ten targets: ANGPT1, AREG, IGF1, IP10, MMP2, NCAM1, OPN, PAI1, TGFβ1, and TIMP1. The decision tree analysis indicates that serums ANGPT1, TIMP1, IP10, and TGFβ1 are promising combinations of targets for glioma diagnostic applications. The accuracy of the decision tree algorithm was 73.5% (75/102), which correctly classified 79.7% (47/59) astrocytomas and 65.1% (28/43) healthy controls. The analysis revealed that the relative value of osteopontin (OPN) protein level alone predicted the 12-month survival of glioblastoma (GBM) patients with the specificity of 84%, while the inclusion of the IP10 protein increased model predictability to 92.3%. In conclusion, the serum protein profiles of ANGPT1, TIMP1, IP10, and TGFβ1 were associated with the presence of astrocytoma independent of its malignancy grade, while OPN and IP10 were associated with GBM patient survival. MDPI 2019-12-19 /pmc/articles/PMC7017117/ /pubmed/31861636 http://dx.doi.org/10.3390/cells9010016 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vaitkiene, Paulina
Urbanaviciute, Ruta
Grigas, Povilas
Steponaitis, Giedrius
Tamasauskas, Arimantas
Skiriutė, Daina
Identification of Astrocytoma Blood Serum Protein Profile
title Identification of Astrocytoma Blood Serum Protein Profile
title_full Identification of Astrocytoma Blood Serum Protein Profile
title_fullStr Identification of Astrocytoma Blood Serum Protein Profile
title_full_unstemmed Identification of Astrocytoma Blood Serum Protein Profile
title_short Identification of Astrocytoma Blood Serum Protein Profile
title_sort identification of astrocytoma blood serum protein profile
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017117/
https://www.ncbi.nlm.nih.gov/pubmed/31861636
http://dx.doi.org/10.3390/cells9010016
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