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Unveiling the Potential of Serum MiR-483-5p: A Promising Diagnostic and Prognostic Biomarker in OLP and OSCC Patients by In silico Analysis of Differential Gene Expression

生物信息学 生物标志物 小RNA 基因 诊断生物标志物 鉴别诊断 基因表达 计算生物学 基因表达谱 分子生物标志物 生物 医学 生物信息学 病理 肿瘤科 遗传学
作者
Pouria Soltaninezhad,Fatemeh Arab,Nooshin Mohtasham,Mohammadhossein FakherBaheri,Nima Nikbin Kavishahi,Seyed Hamid Aghaee‐Bakhtiari,Reza Zare-Mahmoodabadi,Atessa Pakfetrat,Kiarash Izadi Taban,Farnaz Mohajertehran
出处
期刊:Current Pharmaceutical Design [Bentham Science]
卷期号:30 (4): 310-322
标识
DOI:10.2174/0113816128276149240108163407
摘要

Background:: Oral squamous cell carcinoma (OSCC) and oral lichen planus (OLP) are two separate conditions affecting the mouth and result in varying clinical outcomes and levels of malignancy. Achieving early diagnosis and effective therapy planning requires the identification of reliable diagnostic biomarkers for these disorders. MicroRNAs (miRNAs) have recently received attention as powerful biomarkers for various illnesses, including cancer. In particular, miR-483-5p is a promising diagnostic and prognostic biomarker in various cancers. Therefore, this study aimed to investigate the role of serum miR-483-5p in the diagnosis and prognosis of OLP and OSCC patients by in silico analysis of differential gene expression. Methods:: GSE23558 and GSE52130 data sets were selected, and differential gene expression analysis was performed using microarray data from GSE52130 and GSE23558. The analysis focused on comparing OLP and OSCC samples with normal samples. The genes intersected through the differential gene expression analysis were then extracted to determine the overlapping genes among the upregulated or downregulated DEGs. The downregulated genes among the DEGs were subsequently imported into the miRWalk database to search for potential target genes of miRNA 483-5p that lacked validation. To gain insight into the biological pathways associated with the DEGs, we conducted pathway analysis utilizing tools, such as Enrichr. Additionally, the cellular components associated with these DEGs were investigated by analyzing the String database. On the other hand, blood serum samples were collected from 35 OSCC patients, 34 OLP patients, and 34 healthy volunteers. The expression level of miR-483-5p was determined using quantitative reverse transcription polymerase chain reaction (RT-qPCR). The Kruskal-Wallis test was utilized to investigate the considerable correlation. Moreover, this study explored the prognostic value of miR-483-5p through its association with clinicopathological parameters in OSCC patients. Results:: The results showed that serum expression of miR-483-5p was considerably higher in OSCC patients compared to OLP patients and healthy controls (p 0.0001) and that this difference was statistically significant. Furthermore, elevated miR-483-5p expression was associated with tumor size, lymph node metastasis, and stage of tumor nodal metastasis in OSCC patients (p 0.001, p 0.038, and p 0.0001, respectively). In silico analysis found 71 upregulated genes at the intersection of upregulated DEGs and 44 downregulated genes at the intersection of downregulated DEGs, offering insight into the potential underlying mechanisms of miR-483-5p’s engagement in OSCC and OLP. The majority of these DEGs were found to be involved in autophagy pathways, but DEGs involved in the histidine metabolism pathway showed significant results. Most of these DEGs were located in the extracellular region. After screening for downregulated genes that were invalidated, miRNA 483-5p had 7 target genes. Conclusion:: This study demonstrates the potential of serum miR-483-5p as a promising diagnostic and prognostic biomarker in OSCC and OLP patients. Its upregulation in OSCC patients and its association with advanced tumor stage and potential metastasis suggest the involvement of miR-483-5p in critical signaling pathways involved in cell proliferation, apoptosis, and cell cycle regulation, making it a reliable indicator of disease progression. Nevertheless, additional experimental studies are essential to validate these findings and establish a foundation for the advancement of targeted therapies and personalized treatment approaches.

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