Exosome-Transmitted lncRNA H19 Inhibits the Growth of Pituitary Adenoma

微泡 外体 细胞生长 癌症研究 垂体瘤 垂体腺瘤 污渍 肿瘤进展 内分泌学 内科学 细胞 免疫印迹 肢端肥大症 生物 腺瘤 小RNA 医学 癌症 生物化学 基因 激素 生长激素
作者
Yong Zhang,Yan Ting Liu,Hao Tang,Wan Qun Xie,Ying Hong,Wei Gu,Ye Zheng,Han Bing Shang,Yu Wang,Yong Wei,Ze Rui Wu,Zhe Wu
出处
期刊:The Journal of Clinical Endocrinology and Metabolism [The Endocrine Society]
卷期号:104 (12): 6345-6356 被引量:46
标识
DOI:10.1210/jc.2019-00536
摘要

Our previous study demonstrated that the expression of long noncoding RNA (lncRNA) H19 was frequently downregulated in human primary pituitary adenomas and negatively correlated with tumor progression. However, the role of exosomal lncRNA H19 in the inhibition of pituitary tumor growth remains unclear.To investigate whether exosomal H19 could be transported across the cell membrane to exert its inhibitory effect on pituitary tumor growth.Empty lentivirus GH3 cells with or without H19 overexpression were used to establish a xenograft model. Isolated exosomes were identified by transmission electron microscopy, nanoparticle tracking, and Western blotting. The expression levels of serum exosomal H19 from 200 healthy subjects and 206 patients with various subtypes of pituitary tumors were detected by ultracentrifugation and quantitative real-time PCR.The growth of distal tumor cells was inhibited by transferring exosomal H19, which could be transported through cell membrane and exert its inhibitory effect. Cabergoline increased H19 expression and played a synergic therapeutic effect with exosomal H19. Exosomal H19 inhibited phosphorylation of the mTORC1 substrate 4E-BP1. Of note, the expression level of exosomal H19 in the patients with all subtypes of pituitary tumors was significantly lower than that in the healthy subjects. The change of plasma exosomal H19 level may be correlated with the prognosis or drug response of the patients.Exosomal H19 inhibits the growth of distal pituitary tumors through inhibiting 4E-BP1 phosphorylation. Plasma exosomal H19 may serve as an important biomarker for predicting medical responses of patients with prolactinomas.
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