Gene co-expression network approach for predicting prognostic microRNA biomarkers in different subtypes of breast cancer
Gene co-expression network approach for predicting prognostic microRNA biomarkers in different subtypes of breast cancer
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DOI：
10.1016/j.ygeno.2019.01.010
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发表时间：
2020-01-01
期刊：
影响因子：
4.4
通讯作者：
Sadeghi, Balal
中科院分区：
文献类型：
--
作者：
Adhami, Masoumeh;MotieGhader, Habib;Sadeghi, Balal
针对不同类型癌症的新诊断 miRNA 生物标志物已得到广泛研究，特别是乳腺癌 (BC)，它是女性死亡的主要原因，并且有许多不同的亚型。在本研究中，采用系统生物学方法为 BC 的 5 种分子亚型寻找显着且新颖的 miRNA 生物标志物：luminal A、luminal B、ERBB2、基底样和正常样。来自五种 BC 亚型的 mRNA 表达数据用于重建共表达网络。在重建二分网络时考虑了重要的 mRNA-miRNA 相互作用，从中重建了五个二分子网络以供进一步分析。每种亚型检测到的新生物标志物如下：basal-like 的 miRNA 26b-5p 和 124-3p，ERBB2 的 26b-5p、124-3p 和 5011-5p，LumA 的 26b-5p 和 5011-5p，LumB 的 124-3p、26b-5p 和 7-5p 26b-5p、124-3p 和 193b-3p 为正常状态。已鉴定的 miRNA 在 BC 各亚型发生或发展中的作用仍不清楚，应在未来的研究中进行研究。此外，这些 miRNA 的靶基因可能对每种亚型的机制至关重要，应在未来的研究中作为治疗靶点进行分析。
New diagnostic miRNA biomarkers for different types of cancer have been studied extensively, particularly for breast cancer (BC), which is a leading cause of death among women and has many different subtypes. In the present study, a systems biology approach was used to find remarkable and novel miRNA biomarkers for five molecular subtypes of BC: luminal A, luminal B, ERBB2, basal-like and normal-like. The mRNA expression data from the five BC subtypes was used to reconstruct co-expression networks. The important mRNA-miRNA interactions were considered when reconstructing the bipartite networks from which the five bipartite sub-networks were reconstructed for further analysis. The novel biomarkers detected for each subtype are as follows: miRNAs 26b-5p and 124-3p for basal-like, 26b-5p, 124-3p and 5011-5p for ERBB2, 26b-5p and 5011-5p for LumA, 124-3p, 26b-5p and 7-5p for LumB and 26b-5p, 124-3p and 193b-3p for normal-like. The roles of the identified miRNAs in the occurrence or development of each subtype of BC remain unclear and should be investigated in future studies. In addition, the target genes of these miRNAs may be critical to the mechanisms underlying each subtype and should be analyzed as therapeutic targets in future studies.