Abstract
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.
Highlights
Meningiomas are the most common non-glial tumors of the brain and spine
Blood samples were collected from the patients diagnosed with different grades of meningioma
Fourteen grades: benign (grade I) meningioma patients with an average age 43.28, 5 grade II meningioma patients with an average age 53.8, and 1 grade III meningioma patient of age 61 were enrolled for this study
Summary
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. 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. No comprehensive quantitative serum proteomics analysis reported hitherto to describe alterations of human serum proteins and related biological pathways in different grades of human meningiomas. This study aims to investigate alterations in the human serum proteome in different grades of human meningiomas; grade I (benign), grade II (atypical) and grade III (anaplastic) to obtain insights about disease pathogenesis and identify grade specific surrogate protein markers. Our findings may open up new opportunities for the early detection and prognosis of human meningiomas and provide better understanding of the underlying mechanism of the disease pathogenesis and tumour progression
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