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

A new interesting article has been published in Proteomics Clin Appl. 2019 May 23:e1800175. doi: 10.1002/prca.201800175. and titled:

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

Authors of this article are:

Xu J, Zhang Y, Shi Y, Yin D, Dai P, Zhao W, Zhang T.

A summary of the article is shown below:

PURPOSE: 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.EXPERIMENTAL DESIGN: We used an isobaric tag 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).RESULTS: A total of 933 differentially expressed proteins were identified between VS and the matched normal vestibular tissues, with 489 being upregulated and 444 being downregulated. Bioinformatics analyses were performed according to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. Several of the differentially expressed proteins were validated by western blotting analyses, and upregulation of LGALS1, ANXA1, GRB2, and STAT1 was validated in VS tissue by immunohistochemistry.CONCLUSIONS AND CLINICAL RELEVANCE: Our 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. This article is protected by copyright. All rights reserved.This article is protected by copyright. All rights reserved.

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This article is a good source of information and a good way to become familiar with topics such as: ANXA1; GRB2; LGALS1; STAT1 ; iTRAQ; proteomics; vestibular schwannoma.