Diagnostic and prognostic potential of microRNA profiles in endometrioid endometrial cancer

微小RNA谱在子宫内膜样癌诊断和预后中的潜在价值

阅读:1

Abstract

Gene regulation is influenced by microRNAs (miRNAs), a class of non-coding RNAs currently being studied as biomarkers for various diseases. miRNAs, which act as regulators of gene expression and potential biomarkers, were profiled in endometrioid type endometrial cancer (EEC). 28 miRNAs were selected based on their role in regulating EEC-related oncogenes and tumor suppressors (e.g., PTEN, KRAS, β-CATENIN), maintaining tissue stability, and their previous associations with endometrial cancer. This study investigated the expression of miRNAs and their association with key signalling pathways (PI3K/AKT, RAS/MAPK, Wnt/β-Catenin) and their potential as diagnostic biomarkers for EEC. The study also investigated the relationship between miRNA regulation, endometrial pathology, and PTEN, KRAS, and β-CATENIN mRNA expression levels. Women who had received an EEC diagnosis participated in a 14-month prospective cohort study at Gazi University Hospital. Samples were obtained from patients with EEC during frozen sections and healthy women who underwent hysterectomy for benign disease. qPCR examined the miRNA and mRNA levels. 97 women participated, comprising 47 EEC patients and 50 healthy controls. The association was identified between miRNA expression levels and cancer grade. As the tumor grade increases, the expression of miRNAs (miR-let-7c, miR-18a-3p, miR-21, miR-30b, miR-96, miR-130a, miR-141, miR-181b, miR-182, miR-183, miR-2001, miR-200b, miR-200c, miR-203, miR-205, and miR-429) gradually increases. Conversely, twelve miRNAs demonstrated relative expression during the transition from normal endometrium (NE) to EEC (miR-let-7c, miR-let-7e, miR-30c, miR-101, miR-125b, miR-126, miR-129-2, miR-217, miR-324-3p, miR-518b, miR-543, and miR-596). miRNAs could serve as valuable biomarkers for both early detection of EEC and for distinguishing between different tumor grades. We showed that miRNAs have good diagnostic sensitivity for identifying EEC and EC grading. In addition, miRNA improved the ability to discriminate between ECs of different grades.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。