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在乳腺癌中对潜在功能性circRNA-miRNA-mRNA网络进行生物信息学分析

Cihat Erdogan¹, Ilknur Suer^2,3, Murat Kaya³

¹Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, United States of America.

|April 18, 2024

概括

这项研究确定了新型循环RNA (circRNAs),microRNA (miRNAs) 和基因作为乳腺癌 (BC) 分类的潜在生物标志物,特别是在基础性乳腺癌 (BLBC) 中. hsa_circ_0000515/miR-486-5p/SDC1轴显示出区分BLBC亚型的可能性.

科学领域:

在瘤学瘤学.
基因组学就是基因组学.
生物标志物发现发现

背景情况:

乳腺癌 (BC) 仍然是女性癌症死亡的主要原因,需要发现新的生物标志物来改善检测和分类.
目前的诊断和分类方法需要改进,特别是对于像基底类乳腺癌 (BLBC) 这样的攻击性亚型.

研究的目的:

识别差异表达的循环RNAs (circRNAs),microRNAs (miRNAs) 和参与乳腺癌进展的基因.
为了研究circRNA-miRNA-mRNA相互作用的调节网络,以开发潜在的生物标志物.
评估识别分子在分类乳腺癌亚型,特别是BLBC中的有用性.

主要方法:

使用了基因表达综合 (GEO) 数据集 (GSE101124,GSE182471) 用于circRNA分析,以及癌症基因组图谱 (TCGA) /乳腺癌国际联盟的分子分类 (METABRIC) 用于miRNA和基因分析,考虑PAM50分类.
使用生物信息学数据库构建了一个circRNA-miRNA-mRNA调节网络,并通过STRING分析蛋白质与蛋白质的相互作用,并使用Cytoscape可视化.
应用瓶分析以确定枢纽基因,并对候选生物标志物进行生存分析 (无疾病生存率,总生存率).

主要成果:

确定了三种重要的circRNA,三种miRNA和十八种与乳腺癌有关的候选基因.
对circRNA-miRNA-mRNA调节网络的分析揭示了BC病变发生的潜在关键参与者.
突出显示了hsa_circ_0000515/miR-486-5p/SDC1轴作为区分基底样乳腺癌 (BLBC) 亚型的潜在生物标志物.

结论:

已识别的circRNAs,miRNAs和基因代表了乳腺癌生物标志物开发的有希望的候选人.
调控轴hsa_circ_0000515/miR-486-5p/SDC1显示了对乳腺癌,特别是BLBC亚型的分类潜力.
需要进一步验证,以确认这些分子标记物在乳腺癌诊断和亚型化中的临床实用性.

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