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Identification of Predictive Proteins and Biological Pathways for the Tumorigenicity of Vestibular Schwannoma by Proteomic Profiling
- Source :
- Proteomics. Clinical applications. 13(5)
- Publication Year :
- 2018
-
Abstract
- 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 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). Results 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. Conclusions and clinical relevance 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.
- Subjects :
- 0301 basic medicine
Adult
Male
Proteomics
Carcinogenesis
Clinical Biochemistry
Biology
medicine.disease_cause
03 medical and health sciences
Downregulation and upregulation
medicine
Humans
KEGG
030102 biochemistry & molecular biology
Proteomic Profiling
Gene Expression Profiling
Neuroma, Acoustic
Middle Aged
Blot
Isobaric labeling
030104 developmental biology
Case-Control Studies
Cancer research
Immunohistochemistry
Female
Subjects
Details
- ISSN :
- 18628354
- Volume :
- 13
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Proteomics. Clinical applications
- Accession number :
- edsair.doi.dedup.....0741e561da234b221fbaee3a892502f5