Zhang Chao, Qian Yuan, Qiao Yisheng, Li Yao, Wang Wei, Li Junjun, Deng Xingli
Department of Neurological Surgery, 1st Affiliated Hospital of Kunming Medical University, Kunming, China.
Yunnan Key Laboratory of Laboratory Medicine, Yunnan Engineering Technology Center of Digestive disease, 1st Affiliated Hospital of Kunming Medical University, Kunming, China.
Chin Neurosurg J. 2019 Dec 2;5:27. doi: 10.1186/s41016-019-0177-4. eCollection 2019.
Dysregulation of microRNAs (miRNAs) plays a critical role during the occurrence and progress of pituitary adenomas (PAs). However, the roles of miRNAs in the invasiveness of PA are poorly understood. This study aims to more comprehensively and specific define the relationship between altered miRNA and PA invasion.
The differential expression of miRNAs (DEMs) between invasive PAs (IPAs) and non-invasive PAs (NPAs) was explored by RNA sequencing and which functions were analyzed by gene ontology (GO) as well as Kyoto Encyclopedia of Genes and Genomes (KEGG). The miRNA-mRNA network was predicted with bioinformatics.
We identified 31 upregulated miRNAs and 24 downregulated miRNAs in IPAs compared with NPAs. GO analysis and KEGG pathway analysis showed the DEMs were mainly associated with cell proliferation and cell cycle pathway. In addition, on the count of predicted miRNA-mRNA network, two hub miRNAs were identified.
Our results demonstrate the miRNA-mRNA network in detail, which suggest that miRNA may be a promising target in diagnosis and therapy for IPAs.
微小RNA(miRNA)的失调在垂体腺瘤(PA)的发生和发展过程中起着关键作用。然而,miRNA在PA侵袭性中的作用尚不清楚。本研究旨在更全面、具体地确定miRNA改变与PA侵袭之间的关系。
通过RNA测序探索侵袭性PA(IPA)和非侵袭性PA(NPA)之间miRNA的差异表达(DEM),并通过基因本体论(GO)以及京都基因与基因组百科全书(KEGG)分析其功能。用生物信息学预测miRNA-mRNA网络。
与NPA相比,我们在IPA中鉴定出31个上调的miRNA和24个下调的miRNA。GO分析和KEGG通路分析表明,DEM主要与细胞增殖和细胞周期通路相关。此外,根据预测的miRNA-mRNA网络,鉴定出两个关键miRNA。
我们的结果详细展示了miRNA-mRNA网络,这表明miRNA可能是IPA诊断和治疗中有前景的靶点。