Serum protein triplet TGF-β1, TIMP-1, and YKL-40 serve as diagnostic and prognostic profile for astrocytoma

Abstract Astrocytoma is the most common glial tumour of the CNS. The most malignant form is grade IV Astrocytoma, also called Glioblastoma. Due to its heterogeneity, aggressiveness and lethal nature scientists are trying to find less invasive methods for early prediction of tumour onset, recurrence,...

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Autores principales: Rūta Urbanavičiūtė, Rūta Zabitaitė, Algimantas Kriščiukaitis, Vytenis-Pranas Deltuva, Daina Skiriutė
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/359f0711f8ad43db828703ec055a4690
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spelling oai:doaj.org-article:359f0711f8ad43db828703ec055a46902021-12-02T16:06:08ZSerum protein triplet TGF-β1, TIMP-1, and YKL-40 serve as diagnostic and prognostic profile for astrocytoma10.1038/s41598-021-92328-32045-2322https://doaj.org/article/359f0711f8ad43db828703ec055a46902021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92328-3https://doaj.org/toc/2045-2322Abstract Astrocytoma is the most common glial tumour of the CNS. The most malignant form is grade IV Astrocytoma, also called Glioblastoma. Due to its heterogeneity, aggressiveness and lethal nature scientists are trying to find less invasive methods for early prediction of tumour onset, recurrence, response to therapy and patients’ survival. Here, applying decision tree classification algorithm we performed astrocytoma specific protein profile analysis on serum proteins TIMP-1, active and latent form of TGF-β1, IP-10, ANGPT-1, OPN, and YKL-40 using enzyme-linked immunosorbent detection assay (ELISA). Results have demonstrated that astrocytoma specific profile consisted of three proteins—active form of TGF-β1, TIMP-1 and YKL-40 and was able to correctly classify 78.0% (103/132) of sample and 83.3% (60/72) of astrocytoma sample. Calculating decision tree algorithm associated with astrocytoma patient survival, prediction model reached an accuracy of 83.3% (60/72). All together these results indicate that glioma detection and prediction from patient serum using glioma associated proteins and applying mathematical classification tools could be achieved, and applying more comprehensive research further could be implemented in clinic.Rūta UrbanavičiūtėRūta ZabitaitėAlgimantas KriščiukaitisVytenis-Pranas DeltuvaDaina SkiriutėNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Rūta Urbanavičiūtė
Rūta Zabitaitė
Algimantas Kriščiukaitis
Vytenis-Pranas Deltuva
Daina Skiriutė
Serum protein triplet TGF-β1, TIMP-1, and YKL-40 serve as diagnostic and prognostic profile for astrocytoma
description Abstract Astrocytoma is the most common glial tumour of the CNS. The most malignant form is grade IV Astrocytoma, also called Glioblastoma. Due to its heterogeneity, aggressiveness and lethal nature scientists are trying to find less invasive methods for early prediction of tumour onset, recurrence, response to therapy and patients’ survival. Here, applying decision tree classification algorithm we performed astrocytoma specific protein profile analysis on serum proteins TIMP-1, active and latent form of TGF-β1, IP-10, ANGPT-1, OPN, and YKL-40 using enzyme-linked immunosorbent detection assay (ELISA). Results have demonstrated that astrocytoma specific profile consisted of three proteins—active form of TGF-β1, TIMP-1 and YKL-40 and was able to correctly classify 78.0% (103/132) of sample and 83.3% (60/72) of astrocytoma sample. Calculating decision tree algorithm associated with astrocytoma patient survival, prediction model reached an accuracy of 83.3% (60/72). All together these results indicate that glioma detection and prediction from patient serum using glioma associated proteins and applying mathematical classification tools could be achieved, and applying more comprehensive research further could be implemented in clinic.
format article
author Rūta Urbanavičiūtė
Rūta Zabitaitė
Algimantas Kriščiukaitis
Vytenis-Pranas Deltuva
Daina Skiriutė
author_facet Rūta Urbanavičiūtė
Rūta Zabitaitė
Algimantas Kriščiukaitis
Vytenis-Pranas Deltuva
Daina Skiriutė
author_sort Rūta Urbanavičiūtė
title Serum protein triplet TGF-β1, TIMP-1, and YKL-40 serve as diagnostic and prognostic profile for astrocytoma
title_short Serum protein triplet TGF-β1, TIMP-1, and YKL-40 serve as diagnostic and prognostic profile for astrocytoma
title_full Serum protein triplet TGF-β1, TIMP-1, and YKL-40 serve as diagnostic and prognostic profile for astrocytoma
title_fullStr Serum protein triplet TGF-β1, TIMP-1, and YKL-40 serve as diagnostic and prognostic profile for astrocytoma
title_full_unstemmed Serum protein triplet TGF-β1, TIMP-1, and YKL-40 serve as diagnostic and prognostic profile for astrocytoma
title_sort serum protein triplet tgf-β1, timp-1, and ykl-40 serve as diagnostic and prognostic profile for astrocytoma
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/359f0711f8ad43db828703ec055a4690
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