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Identification of Predictive Proteins and Biological Pathways for the Tumorigenicity of Vestibular Schwannoma by Proteomic Profiling.

Authors
  • Xu, Jianhui1, 2
  • Zhang, Yang1, 2
  • Shi, Yuxuan1, 2
  • Yin, Dongming1, 2
  • Dai, Peidong1, 2
  • Zhao, Weidong1, 3
  • Zhang, Tianyu1, 2
  • 1 ENT Institute and Otorhinolaryngology Department , Affiliated Eye and ENT Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, 200031, China. , (China)
  • 2 Key Laboratory of Hearing Medicine of NHFPC, Shanghai, 200031, China. , (China)
  • 3 Department of Otology and Skull Base Surgery, Eye and Ear Nose Throat Hospital of Fudan University, Shanghai, 200031, China. , (China)
Type
Published Article
Journal
PROTEOMICS - CLINICAL APPLICATIONS
Publisher
Wiley (John Wiley & Sons)
Publication Date
Sep 01, 2019
Volume
13
Issue
5
Identifiers
DOI: 10.1002/prca.201800175
PMID: 31120176
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Vestibular schwannomas (VSs) are benign tumors that account for 8-10% of all intracranial tumors. So far, the tumorigenesis of VS has not been fully elucidated. This study is designed to identify differently expressed proteins involved in VS tumorigenesis. An isobaric tag is used for relative and absolute quantification (iTRAQ) approach to characterize the protein expression profiles from pooled VS tissues (n = 12) and pooled matched normal vestibular tissues (n = 12). A total of 933 differentially expressed proteins are identified between VS and the matched normal vestibular tissues, with 489 being upregulated and 444 being downregulated. Bioinformatics analyses are performed according to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. Several of the differentially expressed proteins are validated by western blotting analyses, and upregulation of LGALS1, ANXA1, GRB2, and STAT1 is validated in VS tissue by immunohistochemistry. The study represents the successful application of iTRAQ technology to an investigation of VS. Many of the differentially expressed proteins identified here have not been linked to VS before, and these dysregulated proteins may provide potential biomarkers for human VS diagnosis. © 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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