Park Young-Nam, Ryu Jae-Ki, Ju Yeongdon
Department of Dental Hygiene, Gimcheon University, Gimcheon 39528, Republic of Korea.
Department of Biomedical Laboratory Science, Gimcheon University, Gimcheon 39528, Republic of Korea.
Curr Issues Mol Biol. 2024 Jul 1;46(7):6746-6756. doi: 10.3390/cimb46070402.
Oral squamous cell carcinoma (OSCC) of the tongue is a common type of head and neck malignancy with a poor prognosis, underscoring the urgency for early detection. MicroRNAs (miRNAs) have remarkable stability and are easily measurable. Thus, miRNAs may be a promising biomarker candidate among biomarkers in cancer diagnosis. Biomarkers have the potential to facilitate personalized medicine approaches by guiding treatment decisions and optimizing therapy regimens for individual patients. Utilizing data from The Cancer Genome Atlas, we identified 13 differentially expressed upregulated miRNAs in OSCC of the tongue. Differentially expressed miRNAs were analyzed by enrichment analysis to reveal underlying biological processes, pathways, or functions. Furthermore, we identified miRNAs associated with the progression of OSCC of the tongue, utilizing receiver operating characteristic analysis to evaluate their potential as diagnostic biomarkers. A total of 13 upregulated miRNAs were identified as differentially expressed in OSCC of the tongue. Five of these miRNAs had high diagnostic power. In particular, miR-196b has the potential to serve as one of the most effective diagnostic biomarkers. Then, functional enrichment analysis for the target gene of miR-196b was performed, and a protein-protein interaction network was constructed. This study assessed an effective approach for identifying miRNAs as early diagnostic markers for OSCC of the tongue.
舌部口腔鳞状细胞癌（OSCC）是一种常见的头颈部恶性肿瘤，预后较差，这凸显了早期检测的紧迫性。微小RNA（miRNA）具有显著的稳定性且易于测量。因此，miRNA可能是癌症诊断生物标志物中很有前景的候选标志物。生物标志物有潜力通过指导治疗决策和为个体患者优化治疗方案来促进个性化医疗方法。利用来自癌症基因组图谱的数据，我们在舌部OSCC中鉴定出13种差异表达上调的miRNA。通过富集分析对差异表达的miRNA进行分析，以揭示潜在的生物学过程、途径或功能。此外，我们利用受试者工作特征分析来评估其作为诊断生物标志物的潜力，从而鉴定出与舌部OSCC进展相关的miRNA。总共鉴定出13种上调的miRNA在舌部OSCC中差异表达。其中5种miRNA具有较高的诊断效能。特别是，miR-196b有潜力成为最有效的诊断生物标志物之一。然后，对miR-196b的靶基因进行功能富集分析，并构建蛋白质-蛋白质相互作用网络。本研究评估了一种将miRNA鉴定为舌部OSCC早期诊断标志物的有效方法。
