title: Quantitative proteomic analysis of meningiomas for the identification of surrogate protein markers.
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.
authors.affiliation: Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
authors.forename: Samridhi
authors.initials: S
authors.lastname: Sharma
authors.affiliation: Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
authors.forename: Sandipan
authors.initials: S
authors.lastname: Ray
authors.affiliation: Department of Neurosurgery, Advanced Center for Treatment Research and Education in Cancer, Tata Memorial Center, Kharghar, Navi Mumbai 410210, India.
authors.forename: Aliasgar
authors.initials: A
authors.lastname: Moiyadi
authors.affiliation: Department of Pathology, Tata Memorial Hospital, Mumbai 400012, India.
authors.forename: Epari
authors.initials: E
authors.lastname: Sridhar
authors.affiliation: Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
authors.forename: Sanjeeva
authors.initials: S
authors.lastname: Srivastava
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D016632:Apolipoprotein A-I / Q000097:blood; D001057:Apolipoproteins E / Q000097:blood; D019540:Area Under Curve; D014408:Biomarkers, Tumor / Q000097:blood*; D015180:Electrophoresis, Gel, Two-Dimensional; D005260:Female; D006466:Hemopexin / Q000032:analysis; D006801:Humans; D007118:Immunoassay; D008297:Male; D008577:Meningeal Neoplasms / Q000175:diagnosis / Q000378:metabolism / Q000473:pathology*; D008579:Meningioma / Q000175:diagnosis / Q000378:metabolism / Q000473:pathology*; D008875:Middle Aged; D060787:Neoplasm Grading; D040901:Proteomics; D012372:ROC Curve; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D055815:Young Adult
chemical_list: D016632:Apolipoprotein A-I; D001057:Apolipoproteins E; D014408:Biomarkers, Tumor; D006466:Hemopexin