Quantitative Proteomic Analysis of Meningiomas for the Identification of Surrogate Protein Markers

Meningiomas are the most common non-glial tumors of the brain and spine. Pathophysiology and definite histological grading of meningiomas are frequently found to be deceptive due to their unusual morphological features and locations. Here for the first time we report a comprehensive serum proteomic...

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Veröffentlicht in:Scientific reports Jg. 4; H. 1; S. 7140
Hauptverfasser: Sharma, Samridhi, Ray, Sandipan, Moiyadi, Aliasgar, Sridhar, Epari, Srivastava, Sanjeeva
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 21.11.2014
Nature Publishing Group
Schlagworte:
631/67/1922
692/53/2422
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82/58
82/80
Adolescent
Adult
Aged
Antithrombin
Apolipoprotein A-I - blood
Apolipoprotein B
Apolipoprotein E
Apolipoproteins
Apolipoproteins E - blood
Apoptosis
Area Under Curve
Biomarkers, Tumor - blood
Brain cancer
Brain tumors
Coagulation
Electrophoresis, Gel, Two-Dimensional
Female
Hemopexin
Hemopexin - analysis
Humanities and Social Sciences
Humans
Immunoassay
Lipid metabolism
Lipids
Lipoproteins
Male
Malignancy
Meningeal Neoplasms - diagnosis
Meningeal Neoplasms - metabolism
Meningeal Neoplasms - pathology
Meningioma - diagnosis
Meningioma - metabolism
Meningioma - pathology
Middle Aged
multidisciplinary
Neoplasm Grading
Pathogenesis
Proteomics
ROC Curve
Science
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Spine
Vimentin
Young Adult
α2-Macroglobulin
ISSN:2045-2322, 2045-2322
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Beschreibung
Zusammenfassung:Meningiomas are the most common non-glial tumors of the brain and spine. Pathophysiology and definite histological grading of meningiomas are frequently found to be deceptive due to their unusual morphological features and locations. Here for the first time we report a comprehensive serum proteomic analysis of different grades of meningiomas by using multiple quantitative proteomic and immunoassay-based approaches to obtain mechanistic insights about disease pathogenesis and identify grade specific protein signatures. In silico functional analysis revealed modulation of different vital physiological pathways including complement and coagulation cascades, metabolism of lipids and lipoproteins, immune signaling, cell growth and apoptosis and integrin signaling in meningiomas. ROC curve analysis demonstrated apolipoprotein E and A-I and hemopexin as efficient predictors for meningiomas. Identified proteins like vimentin, alpha-2-macroglobulin, apolipoprotein B and A-I and antithrombin-III, which exhibited a sequential increase in different malignancy grades of meningiomas, could serve as potential predictive markers.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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These authors contributed equally to this work.
ISSN:2045-2322
2045-2322
DOI:10.1038/srep07140