Bioinformatic screening for candidate biomarkers and their prognostic values in endometrial cancer.

IF 2.9 Q2 Biochemistry, Genetics and Molecular Biology BMC Genetics Pub Date : 2020-09-22 DOI:10.1186/s12863-020-00898-4

Yaowei Li, Li Li

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引用次数: 2

Abstract

Background: Endometrial cancer is a common gynecological cancer with annually increasing incidence worldwide. However, the biomarkers that provide prognosis and progression for this disease remain elusive.

Results: Two eligible human endometrial cancer datasets (GSE17025 and GSE25405) were selected for the study. A total of 520 differentially expressed mRNAs and 30 differentially expressed miRNAs were identified. These mRNAs were mainly enriched in cell cycle, skeletal system development, vasculature development, oocyte maturation, and oocyte meiosis signalling pathways. A total of 160 pairs of differentially expressed miRNAs and mRNAs, including 22 differentially expressed miRNAs and 71 overlapping differentially expressed mRNAs, were validated in endometrial cancer samples using starBase v2.0 project. The prognosis analysis revealed that Cyclin E1 (CCNE1, one of the 82 hub genes, which correlated with hsa-miR-195 and hsa-miR-424) was significantly linked to a worse overall survival in endometrial cancer patients.

Conclusions: The hub genes and differentially expressed miRNAs identified in this study might be used as prognostic biomarkers for endometrial cancer and molecular targets for its treatment.

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子宫内膜癌候选生物标志物的生物信息学筛选及其预后价值。

背景:子宫内膜癌是一种常见的妇科肿瘤，在世界范围内发病率呈逐年上升趋势。然而，提供这种疾病的预后和进展的生物标志物仍然难以捉摸。结果:选择了两个符合条件的人子宫内膜癌数据集(GSE17025和GSE25405)进行研究。共鉴定出520个差异表达mrna和30个差异表达mirna。这些mrna主要富集于细胞周期、骨骼系统发育、脉管系统发育、卵母细胞成熟和卵母细胞减数分裂信号通路中。利用starBase v2.0项目在子宫内膜癌样本中验证了共160对差异表达mirna和mrna，其中22对差异表达mirna和71对重叠差异表达mrna。预后分析显示，Cyclin E1 (CCNE1, 82个枢纽基因之一，与hsa-miR-195和hsa-miR-424相关)与子宫内膜癌患者较差的总生存率显著相关。结论:本研究发现的枢纽基因和差异表达的mirna可能作为子宫内膜癌的预后生物标志物和治疗的分子靶点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Genetics 生物-遗传学

CiteScore

4.30

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： BMC Genetics is an open access, peer-reviewed journal that considers articles on all aspects of inheritance and variation in individuals and among populations.