Borisov Evgeny, Knyazeva Margarita, Novak Veronika, Zabegina Lidia, Prisyazhnaya Tatyana, Karizkiy Aleksey, Berlev Igor, Malek Anastasia
Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia.
Oncosystem Ltd., 121205 Moscow, Russia.
Diagnostics (Basel). 2020 Oct 3;10(10):782. doi: 10.3390/diagnostics10100782.
Endometriosis is a chronic disease characterized by the growth of endometrial tissue outside of the uterine cavity. Endometriosis affects up to 10% of women of reproductive age and has great social impact. The diagnostics of endometriosis are based on clinical appearance, ultrasound, and magnetic resonance imaging (MRI); however, a diagnosis is frequently hampered by the absence of objective criteria. Adenomyosis (AM) is a particular type of endometriosis wherein the spread of the ectopic endometrial gland is limited by the uterine myometrium. Alteration of the microRNA expression profile in the eutopic endometrium can be associated with AM, and may be assayed for diagnostic purposes. In the presented study, we aimed to explore the diagnostic potency of this approach. Eutopic endometrium specimens were collected from patients (n = 33) and healthy women (n = 30). The microRNA expression was profiled to select individual microRNAs with AM-associated expression alterations. A new method of two-tailed RT-qPCR microRNA analysis was applied to assay potential markers. The expression ratios of reciprocally dysregulated microRNAs were calculated, and the diagnostic potency of these parameters was evaluated by receiver operation curve (ROC) analysis. Mir-10b, miR-200c and miR-191 were significantly dysregulated in the eutopic endometrium of AM patients. The expression ratio of reciprocally dysregulated microRNAs allowed us to diagnose AM with a range of sensitivity from 65% to 74%, and of specificity from 72% to 86%. The analysis of microRNAs from the eutopic endometrium might present a promising low-invasive method of AM diagnostics.
子宫内膜异位症是一种慢性疾病,其特征是子宫内膜组织在子宫腔外生长。子宫内膜异位症影响高达10%的育龄妇女,具有重大的社会影响。子宫内膜异位症的诊断基于临床表现、超声和磁共振成像(MRI);然而,由于缺乏客观标准,诊断常常受到阻碍。子宫腺肌病(AM)是子宫内膜异位症的一种特殊类型,其中异位子宫内膜腺体的扩散受子宫肌层限制。在位子宫内膜中微小RNA表达谱的改变可能与子宫腺肌病有关,可用于诊断检测。在本研究中,我们旨在探索这种方法的诊断效力。从患者(n = 33)和健康女性(n = 30)收集在位子宫内膜标本。对微小RNA表达进行分析,以选择具有与子宫腺肌病相关表达改变的个体微小RNA。应用一种新的双尾RT-qPCR微小RNA分析方法检测潜在标志物。计算相互失调的微小RNA的表达比率,并通过受试者工作特征曲线(ROC)分析评估这些参数的诊断效力。Mir-10b、miR-200c和miR-191在子宫腺肌病患者的在位子宫内膜中显著失调。相互失调的微小RNA的表达比率使我们能够诊断子宫腺肌病,灵敏度范围为65%至74%,特异性范围为72%至86%。对在位子宫内膜微小RNA的分析可能是一种有前景的低侵入性子宫腺肌病诊断方法。