Comparative analysis of a panel of biomarkers related to protein phosphatase 2A between laryngeal squamous cell carcinoma tissues and adjacent normal tissues.
- Author:
Han-Ying WANG
1
;
Hui YUAN
2
;
Jing-Hui LIU
3
;
Bei-Lei WANG
4
;
Kai-Lun XU
5
;
Pu HUANG
4
;
Zhi-Hong LIN
2
;
Li-Hong XU
4
Author Information
- Publication Type:Journal Article
- Keywords: Laryngeal squamous cell carcinoma; Protein phosphatase 2A; Biomarker
- MeSH: Autoantigens/metabolism*; Biomarkers, Tumor/metabolism*; Carcinoma, Squamous Cell/metabolism*; Case-Control Studies; Cytoskeletal Proteins/metabolism*; Focal Adhesion Kinase 1/metabolism*; Gene Expression Profiling; Gene Expression Regulation; Gene Expression Regulation, Neoplastic; Humans; Intracellular Signaling Peptides and Proteins/metabolism*; Laryngeal Neoplasms/metabolism*; Larynx/metabolism*; Membrane Proteins/metabolism*; Phosphorylation; Protein Phosphatase 2/metabolism*
- From: Journal of Zhejiang University. Science. B 2019;20(9):776-780
- CountryChina
- Language:English
- Abstract: Laryngeal squamous cell carcinoma (LSCC) is the most common type of head and neck squamous cell carcinoma (HNSCC) worldwide. Protein phosphatase 2A (PP2A) dysfunction has been widely reported in a broad range of malignancies due to its distinctive role in miscellaneous cellular processes. However, it is poorly understood whether aberrant alterations of PP2A are involved in the network of oncogenic events in LSCC. Here, we detected a panel of PP2A-associated proteins using western blot in both laryngeal squamous cell carcinoma tissues and paired adjacent normal tissues from patients (Data S1). We found that phospho-PP2A/C (Y307), α4, cancerous inhibitor of protein phosphatase 2A (CIP2A), Akt, ezrin, phospho-ezrin (T567), 14-3-3, and focal adhesion kinase (FAK) showed increased expression levels in carcinoma tissues relative to normal tissues, while phospho-Akt (T308) showed decreased levels. Our study, thus, provides a rationale for targeting PP2A to develop novel therapies and proposes a combination of interrelated biomarkers for the diagnostic evaluation and prognosis prediction in LSCC.