口腔鳞状细胞癌miR的生物信息学挖掘与分析

目的 筛选与口腔鳞状细胞癌(OSCC)相关的微小RNA(miR)生物标志物,并分析其靶基因的功能。 方法 从癌症基因组图谱数据库中下载人OSCC的miR高通量数据,使用R软件筛选差异miR,然后使用DAVID在线工具对选定的差异miR进行生物信息学分析。 结果 表达上调差异超过10倍的miR有11个,下调的miR有6个。差异miR靶基因预测共得到564个共同靶基因,GO功能注释显著富集于钙离子结合、金属离子、转换生长因子受体结合、磷脂酶的活动等功能。 结论 差异miR或许可作为OSCC重要的的分子标志物,为进一步探讨其在OSCC诊断或靶向治疗中的运用提供实验依据。

Bioinformatic Identification and Analysis of miR in Oral Squamous Cell Carcinoma

ABSTRACT: Objective To screen the oral squamous cell sarcinoma(OSCC)miR biomarkers and analyze the functions of their target genes. Methods Download OSCC related miR high-throughput data from The Cancer Genome Atlas(TCGA)database to screen the differential miR using R software. Bioinformatics analysis was carried out using DAVID for the selected differential miR. Results 11 miR were upregulated more than 10 fold, and 6 miR were downregulated. There were 564 overlapping target genes of miR, and these miR were significantly richened in GOs such as calcium ion binding, metal ion binding, transforming growth factor beta receptor binding, and phospholipase activity. Conclusion Many differentially expressed miR may be used to define important molecular markers, which offer novel strategies for prevention, diagnosis, prognosis, and subsequent targeted treatment in OSCC.