Khayer Nasibeh, Zamanian-Azodi Mona, Mansouri Vahid, Ghassemi-Broumand Mohammad, Rezaei-Tavirani Mostafa, Heidari Mohammad Hossein, Rezaei Tavirani Majid
Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Gastroenterol Hepatol Bed Bench. 2017 Spring;10(2):118-124.
The aim of this study is to present the oral Squamous Cell Cancer protein-protein interaction network interpretation in comparison to esophageal adenocarcinoma.
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.
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.
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.
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.
本研究旨在呈现口腔鳞状细胞癌的蛋白质-蛋白质相互作用网络解析,并与食管腺癌进行比较。
口腔鳞状细胞癌(OSCC)是一种全球常见疾病,预后较差且治疗有限。因此,通过网络分析引入分子标志物可能会有所帮助。
利用STRING数据库通过Cytoscape 3.4.0构建网络。Clue GO对检索到的聚类进行基因注释。有8种蛋白质在网络构成中显示出差异。
中心性和聚类分析表明,在包括TP53、AKT1、EGFR、MYC、JUN、CDH1、CCND1和CTNNB1在内的8种最核心蛋白质中,TP53在网络完整性方面发挥着过度显著的作用。所建议的生物标志物集与食管腺癌的相关生物标志物组非常相似。
本体分析表明,这些突出的蛋白质参与平滑肌细胞增殖调控、成纤维细胞增殖调控以及对UV-A的反应过程。总之,与其他报道的OSCC生物标志物相比,这些蛋白质及其相关的生物学过程可能更为关键。然而,需要进行验证研究以确认潜在候选物的关键作用。这种疾病和食管腺癌相似的生物标志物组与这两种恶性肿瘤的起源相对应。