Integrated systems biology approach to identify key candidate genes, signaling pathways and therapeutic targets of oral squamous cell carcinoma

Jyotsna Choubey, Olaf Wolkenhauer, Tanushree Chatterjee
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Abstract

Background: This research aims to uncover gene signatures associated with oral squamous cell carcinoma (OSCC), the sixth most prevalent cancer globally, constituting about 5% of all malignant tumors. The study focuses on biomarker screening and identifying therapeutic targets, addressing a significant global issue. Materials and Methods: The study involved a comprehensive analysis of publicly available gene expression datasets, namely GSE30784 and GSE74530. The researchers conducted gene ontology (GO) and pathway analyses on genes that displayed differential expression (DEGs). They utilized the Database for Annotation, Visualization, and Integrated Discovery database to accomplish this. The String database also established a protein–protein interaction (PPI) network. This network was visualized through Cytoscape, and further exploration was carried out using Molecular Complex Detection and CytoHubba plugins. These steps aimed to identify crucial hub genes and functional modules. Furthermore, the study investigated transcription factor-gene regulatory networks focusing on the identified hub genes. The researchers employed the Gene Expression Profiling Interactive Analysis 2 tool to evaluate these hub genes’ expression levels and prognostic significance. Results: A comparison between OSCC and normal oral mucosa revealed 1210 DEGs across two databases. The obtained DEG list was cross-referenced with the DisGeNET disease database, identifying 205 potential DEG candidates. These DEGs exhibited enrichments in various biological functions, including angiogenesis, protein binding, focal adhesion, cell surface interactions, and extracellular matrix components. Among the enriched pathways, the interleukin (IL)-17 and tumor necrosis factor signaling pathways related to viral protein interactions showed significant enrichment. Further exploration involved extracting the top five hub genes from intricate PPI networks. These selected hub genes were subsequently verified in clinical samples, paving the way for subsequent in-depth analysis. Conclusion: In the study context, IL-6, chemokine (C-C motif) ligand 2, C-X-C Motif Chemokine Ligand 8, IL-1beta, and prostaglandin-endoperoxide synthase 2 emerged as the leading hub genes linked to the IL-10 signaling pathway in OSCC. These findings offer valuable insights into the potential mechanisms underlying the advancement of OSCC. However, it is essential to underscore that further research must validate these findings conclusively. The study’s outcomes have broadened our understanding of oral cancer’s molecular intricacies by identifying differentially expressed and pivotal hub genes. This newfound knowledge has the potential to catalyze the development of novel biomarkers, thereby enhancing the efficacy of both diagnostic and therapeutic strategies.
综合系统生物学方法鉴定口腔鳞状细胞癌的关键候选基因、信号通路和治疗靶点
背景:本研究旨在揭示与口腔鳞状细胞癌(OSCC)相关的基因特征,OSCC是全球第六大常见癌症,约占所有恶性肿瘤的5%。该研究的重点是生物标志物筛选和确定治疗靶点,解决了一个重大的全球性问题。材料和方法:本研究对公开的基因表达数据集GSE30784和GSE74530进行了综合分析。研究人员对表现出差异表达的基因(DEGs)进行了基因本体(GO)和途径分析。他们利用了Database for Annotation、Visualization和Integrated Discovery数据库来实现这一目标。String数据库还建立了蛋白质-蛋白质相互作用(PPI)网络。该网络通过Cytoscape可视化,并使用Molecular Complex Detection和CytoHubba插件进行进一步的探索。这些步骤旨在确定关键的中心基因和功能模块。此外,该研究还研究了转录因子-基因调控网络,重点是鉴定的枢纽基因。研究人员使用基因表达谱交互分析2工具来评估这些中心基因的表达水平和预后意义。结果:OSCC与正常口腔黏膜的比较显示,两个数据库中有1210个deg。获得的DEG列表与DisGeNET疾病数据库交叉参考,确定205个潜在的DEG候选。这些deg表现出多种生物功能的富集,包括血管生成、蛋白质结合、局灶黏附、细胞表面相互作用和细胞外基质成分。在富集的信号通路中,与病毒蛋白相互作用相关的白介素(IL)-17和肿瘤坏死因子信号通路显著富集。进一步的探索包括从复杂的PPI网络中提取前五个中心基因。这些选定的中心基因随后在临床样本中得到验证,为随后的深入分析铺平了道路。结论:在本研究背景下,IL-6、趋化因子(C-C motif)配体2、C-X-C motif趋化因子配体8、il -1 β和前列腺素内过氧化物合酶2是与OSCC中IL-10信号通路相关的主要枢纽基因。这些发现为OSCC进展的潜在机制提供了有价值的见解。然而,必须强调的是,进一步的研究必须最终证实这些发现。该研究的结果通过识别差异表达和关键枢纽基因扩大了我们对口腔癌分子复杂性的理解。这一新发现有可能促进新的生物标志物的发展,从而提高诊断和治疗策略的有效性。
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