Mathavan Sarmilah, Kue Chin Siang, Kumar Suresh
Faculty of Health and Life Sciences, Management and Science University, Shah Alam 40100, Malaysia.
Genomics Inform. 2021 Mar;19(1):e4. doi: 10.5808/gi.20062. Epub 2021 Mar 15.
Lip and oral cavity cancer, which can occur in any part of the mouth, is the 11th most common type of cancer worldwide. The major obstacles to patients' survival are the poor prognosis, lack of specific biomarkers, and expensive therapeutic alternatives. This study aimed to identify the main genes and pathways associated with lip and oral cavity carcinoma using network analysis and to analyze its molecular mechanism and prognostic significance further. In this study, 472 genes causing lip and oral cavity carcinoma were retrieved from the DisGeNET database. A protein-protein interaction network was developed for network analysis using the STRING database. VEGFA, IL6, MAPK3, INS, TNF, MAPK8, MMP9, CXCL8, EGF, and PTGS2 were recognized as network hub genes using the maximum clique centrality algorithm available in cytoHubba, and nine potential drug candidates (ranibizumab, siltuximab, sulindac, pomalidomide, dexrazoxane, endostatin, pamidronic acid, cetuximab, and apricoxib) for lip and oral cavity cancer were identified from the DGIdb database. Gene enrichment analysis was also performed to identify the gene ontology categorization of cellular components, biological processes, molecular functions, and biological pathways. The genes identified in this study could furnish a new understanding of the underlying molecular mechanisms of carcinogenesis and provide more reliable biomarkers for early diagnosis, prognostication, and treatment of lip and oral cavity cancer.
唇癌和口腔癌可发生于口腔的任何部位，是全球第11大常见癌症类型。患者生存的主要障碍是预后不良、缺乏特异性生物标志物以及昂贵的治疗选择。本研究旨在通过网络分析确定与唇癌和口腔癌相关的主要基因和通路，并进一步分析其分子机制和预后意义。在本研究中，从DisGeNET数据库中检索到472个导致唇癌和口腔癌的基因。使用STRING数据库构建蛋白质-蛋白质相互作用网络用于网络分析。利用cytoHubba中可用的最大团中心性算法，将VEGFA、IL6、MAPK3、INS、TNF、MAPK8、MMP9、CXCL8、EGF和PTGS2识别为网络枢纽基因，并从DGIdb数据库中确定了9种唇癌和口腔癌的潜在候选药物（雷珠单抗、西妥昔单抗、舒林酸、泊马度胺、右丙亚胺、内皮抑素、帕米膦酸、西妥昔单抗和阿普昔布）。还进行了基因富集分析，以确定细胞成分、生物学过程、分子功能和生物学通路的基因本体分类。本研究中鉴定出的基因可为癌变的潜在分子机制提供新的认识，并为唇癌和口腔癌的早期诊断、预后评估和治疗提供更可靠的生物标志物。
