Author/Authors :
Khayer, Nasibeh Proteomics Research Center - Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Zamanian-Azodi, Mona Student Research Committee - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Mansouri, Vahid Physiotherapy Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Ghassemi-Broumand, Mohammad Student Research Committee - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Rezaei-Tavirani, Mostafa Proteomics Research Center - Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Hossein Heidari, Mohammad Proteomics Research Center - Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Rezaei Tavirani, Majid Faculty of Medicine - Iran University of Medical Sciences, Tehran, Iran
Abstract :
Aim: The aim of this study is to present the oral Squamous Cell Cancer protein-protein interaction network interpretation in
comparison to esophageal adenocarcinoma.
Background: Oral squamous cell cancer (OSCC) is a common disease worldwide, with poor prognosis and limited treatment. Thus,
introducing molecular markers through network analysis can be helpful.
Methods: STRING database (DB) was applied for network construction through Cytoscape 3.4.0. Clue GO handled the gene
annotation for the retrieved clusters. Eight proteins were indicated to be differential in the network constitution.
Results: The centrality and clustering analysis indicate that TP53 plays an over-significant role in network integrity among eight most
central proteins including TP53, AKT1, EGFR, MYC, JUN, CDH1, CCND1, and CTNNB1. The suggested biomarker set is very
similar to the related biomarker panel of esophageal adenocarcinoma.
Conclusion: The ontology analysis implies that the prominent proteins are involved in regulation of smooth muscle cell proliferation,
regulation of fibroblast proliferation, and response to UV-A processes. In conclusion, these proteins and their associated biological
processes may be more critical compared to other reported biomarkers for OSCC. Nevertheless, validation studies are required for
confirming the pivotal role of potential candidates. Similar biomarker panel of this disease and esophagus adenocarcinoma is
corresponded to the origin of the two malignancies.
Keywords :
Oral squamous cell cancer (OSCC) , Protein-protein interaction network analysis , Clustering analysis , Gene ontology