Identification of long non-coding RNA competing interactions and biological pathways associated with prognosis in pediatric and adolescent cytogenetically normal acute myeloid leukemia.

Identification of long non-coding RNA competing interactions and biological pathways associated with prognosis in pediatric and adolescent cytogenetically normal acute myeloid leukemia.
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鉴定与儿童和青少年细胞遗传学正常急性髓系白血病预后相关的长非编码RNA竞争相互作用和生物学途径

DOI:
10.1186/s12935-018-0621-0
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发表时间:
2018
影响因子:
5.8
通讯作者:
Hu Y
Hu Y
中科院分区:
医学2区
文献类型:
--
作者:
Yin X;Huang S;Zhu R;Fan F;Sun C;Hu Y

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LncRNA 可以通过隔离和结合 miRNA 和 mRNA 来调节它们。事实上,许多研究人员报告说,lncRNA 介导的竞争性内源性 RNA (ceRNA) 可以调节实体瘤的进展。然而,ceRNA在急性髓系白血病(AML),尤其是儿童和青少年AML中的作用尚未完全阐明。从RNA测序的大样本测序数据库癌症基因组图谱(TCGA)中筛选出27名18岁以下细胞遗传学正常的急性髓系白血病(CN-AML)患者,并具有相应的临床数据。我们构建了生存特异性 ceRNA 网络,并通过分析 TCGA 的数据研究其与患者临床信息的关联。我们鉴定了生存特异性 lncRNA、miRNA 和 mRNA,并构建了 CN-AML 患者生存特异性 ceRNA 网络和加权相关网络。此外,我们确定了与 OS 相关的 4 条生物学通路,并选择了最丰富的通路“癌症中的转录失调”来验证其可以准确预测年轻 CN-AML 患者的预后以指导治疗。我们成功构建了生存特异性 ceRNA 网络,为年轻 CN-AML 的 lncRNA 研究提供了新方法。重要的是,我们构建了一个加权相关网络来克服单个基因的生物学解释的困难。本文的在线版本 (10.1186/s12935-018-0621-0) 包含补充材料,可供授权用户使用。
LncRNAs can regulate miRNAs and mRNAs by sequestering and binding them. Indeed, many researchers have reported lncRNA mediated-competing endogenous RNAs (ceRNAs) could regulate the progression of solid tumors. However, the roles of ceRNA in acute myeloid leukemia (AML), especially in pediatric and adolescent AML, were not completely expounded. 27 cytogenetically normal acute myeloid leukemia (CN-AML) patients under 18 years old with corresponding clinical data were selected from the cancer genome atlas (TCGA), which was a large sample sequencing database of RNA sequencing. We constructed a survival specific ceRNA network, and investigated its associations with patients’ clinical information by analyzing the data from TCGA. We identified survival specific lncRNAs, miRNAs and mRNAs, and constructed a survival specific ceRNA network of CN-AML patients and a weighted correlation network. Furthermore, we identified 4 biological pathways associated with OS and selected the most enriched pathway ‘Transcriptional misregulation in cancer’ to verify that it could accurately predict younger CN-AML patients’ prognosis to guide treatment. We successfully constructed a survival specific ceRNA network which could provide a new approach to lncRNA research in younger CN-AML. Importantly, we constructed a weighted correlation network to overcome the difficulty in biological interpretation of individual genes. The online version of this article (10.1186/s12935-018-0621-0) contains supplementary material, which is available to authorized users.
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