Shanmugam S B, Vijayashree Priyadharsini J, Anitha P, Smiline Girija A S, Paramasivam A
Clinical Genetics Lab, Centre for Cellular and Molecular Research, Saveetha Dental College & Hospital, Saveetha Institute of Medical and Technical Sciences [SIMATS], Saveetha University, Chennai, India.
Department of Microbiology, Centre for Infectious Diseases, Saveetha Dental College & Hospital, Saveetha Institute of Medical and Technical Sciences [SIMATS], Saveetha University, Chennai, India.
Mol Biol Res Commun. 2025;14(1):59-71. doi: 10.22099/mbrc.2024.50171.1982.
The present study aims to identify the differentially expressed genes in HIGK treated with and their possible role in establishing head and neck squamous cell carcinoma. The study design follows a computational approach wherein multiple databases and tools are used to derive the possible association between exposure and the development of HNSCC. The GEOmnibus dataset GSE6927 provided data on the differentially expressed genes in the HIGK treated with . The GEO2R analysis revealed 22 differentially expressed genes in HIGK cells treated with . The expression profile of these genes was then analyzed in the HNSCC (TCGA, Firehose Legacy) dataset employing the UALCAN database. The present study revealed 5 genes , , , , and exhibiting similar expression patterns in -treated HIGK and HNSCC datasets. The and were found to be upregulated, and the genes , , and were downregulated. Among the five genes, the demonstrated a significant association with the survival of HNSCC patients. The low expression of presented a poor prognosis compared to the high expression. The study's results identified as a candidate gene involved in infection and HNSCC. Validating this result is necessary to gain insights into the role of the gene in developing HNSCC. Furthermore, probing the epigenetic factors targeting can be a potential therapeutic lead.
本研究旨在鉴定经[具体处理方式]处理的HIGK中差异表达的基因及其在头颈部鳞状细胞癌发生过程中的可能作用。该研究设计采用了一种计算方法，其中使用多个数据库和工具来推导[具体暴露因素]暴露与头颈部鳞状细胞癌发生之间的可能关联。GEOmnibus数据集GSE6927提供了经[具体处理方式]处理的HIGK中差异表达基因的数据。GEO2R分析揭示了经[具体处理方式]处理的HIGK细胞中有22个差异表达基因。然后利用UALCAN数据库在头颈部鳞状细胞癌（TCGA，Firehose Legacy）数据集中分析这些基因的表达谱。本研究揭示了5个基因[基因名称1]、[基因名称2]、[基因名称3]、[基因名称4]和[基因名称5]在经[具体处理方式]处理的HIGK和头颈部鳞状细胞癌数据集中表现出相似的表达模式。[基因名称1]和[基因名称2]被发现上调，而[基因名称3]、[基因名称4]和[基因名称5]基因下调。在这五个基因中，[基因名称1]与头颈部鳞状细胞癌患者的生存率显示出显著关联。与高表达相比，[基因名称1]的低表达呈现出较差的预后。该研究结果确定[基因名称1]为参与[具体感染因素]感染和头颈部鳞状细胞癌的候选基因。验证这一结果对于深入了解[基因名称1]基因在头颈部鳞状细胞癌发生中的作用是必要的。此外，探究靶向[基因名称1]的表观遗传因素可能是一种潜在的治疗线索。
