通过miRNA基因表达谱的基因共表达网络构建对星形细胞瘤的基因靶标进行预测

星形细胞瘤为浸润性生长肿瘤,生长缓慢,多为隐形症状,难以早期发现。多数肿瘤切除后有复发可能,且复发后肿瘤可演变成间变性星形细胞瘤或多形性胶质母细胞瘤。因此寻找其生物标志物早期诊断,并研究新的治疗方法就十分重要。方法:通过选用GEO数据库的星形细胞瘤miRNA表达谱数据,进行差异分析以及靶基因预测,通过2者共表达网络的构建对筛选出的miRNA的研究价值进行探讨。结果:得出hsa-miR-29b-2-5p；hsa-miR-339-5p与hsa-miR-362-3p3个较为关键的miRNA及与3者关系密切的8个mRNA。结论:通过对8个mRNA在癌症中的作用的讨论,肯定了这3个关键miRNA作为潜在靶点的研究价值。

Prediction of astrocytoma gene markers and potential therapeutic targets based on miRNA gene expression profiles

Astrocytomas are invasive growth tumors with slow growth and mostly invisible symptoms, making it difficult to make an early diagnosis. Most tumors have recurrence after resection, and tumors can evolve into anaplastic astrocytoma or glioblastoma multiforme after recurrence. Therefore, it is critical to find early biomarkers for diagnosis and study new treatment methods. The astrocytoma miRNA expression profile data in the GEO database was selected for differential analysis and target gene prediction, and the research value of the selected miRNAs was explored through the construction of the co-expression network of the two. Results show that hsa-miR-29b-2-5p, hsa-miR-339-5p, and hsa-miR-362-3p are three key miRNAs, and eight mRNAs were discussed,which are closely related to them. The discussion of the role of the eight mRNAs in cancer confirmed the research value of hsa-miR-29b-2-5p, hsa-miR-339-5p, and hsa-miR-362-3p as potential targets.