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一种系统的方法在前列腺癌的不同阶段引入了一个共同的lncRNA-miRNA-mRNA网络
Gelareh Vahabzadeh1, Solmaz Khalighfard2, Ali Mohammad Alizadeh3
1Razi Drug Research Center, Iran University of Medical Sciences, Tehran, Iran.
Frontiers in oncology
|May 30, 2023
概括
这项研究确定了前列腺癌 (PCa) 中常见的长非编码RNA-microRNA-信使RNA网络. 这种网络涉及瘤基因和瘤抑制剂,在晚期PCa阶段显示出改变的表达,与格里森得分相关.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 前列腺癌 (PCa) 的进展涉及复杂的分子相互作用.
- 了解lncRNA-miRNA-mRNA调节网络对于PCa研究至关重要.
研究的目的:
- 在各种PCa阶段研究共同的lncRNA-miRNA-mRNA网络.
- 确定PCa.潜在的诊断生物标志物和治疗点.
主要方法:
- 对差异表达基因的 GEO 数据库的生物信息分析.
- 使用Cytohubba和MCODE.使用枢纽基因的识别.
- 使用Cytoscape,GO Term和KEGG进行路径分析.
- 通过实时PCR和ELISA对lncRNA,miRNA和mRNA表达的实验验证.
主要成果:
- 在PCa患者中发现了一个由4个lncRNA,5个miRNA和15个基因组成的网络.
- 与早期相比,在晚期PCa阶段 (生物化学复发,转移) 观察到的onco-lncRNAs,oncomiRNAs和瘤基因的上调.
- 表达水平与较高的格里森分数正相关.
结论:
- 已识别的lncRNA-miRNA-mRNA网络可以作为PCa的预测生物标志物.
- 该网络为前列腺癌治疗提供了潜在的新型治疗点.
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