Analysis of differentially expressed circular RNAs for the identification of a coexpression RNA network and signature in colorectal cancer
Analysis of differentially expressed circular RNAs for the identification of a coexpression RNA network and signature in colorectal cancer
复制标题
分析差异表达的环状 RNA，以鉴定结直肠癌中的共表达 RNA 网络和特征
DOI：
10.1002/jcb.27928
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发表时间：
2019-04-01
影响因子：
4
通讯作者：
Wang, Haijun
中科院分区：
文献类型：
--
作者：
Zhang, Zheying;Song, Na;Wang, Haijun
环状RNA（circRNA）在肿瘤发生中起着重要的调控作用。本研究的目的是分析circRNA表达网络，并阐明其在结直肠癌（CRC）中的潜在意义。通过RNA测序分析CRC组织中circRNA的表达谱，并通过基因本体论（GO）和京都基因和基因组百科全书（KEGG）分析来分析差异表达基因的功能。用生物信息学方法预测了circRNA网络。在此基础上，我们鉴定了23种CRC中差异表达的circRNA; GO和KEGG分析表明，circRNA的变化主要与通过与其他分子结合来调节生物和代谢过程有关。此外，基于预测的共表达网络，我们确定了一个中心circRNA，hsa_circ_0009022。随后，通过逆转录-定量聚合酶链反应证实测序结果，发现hsa_circ_0000826在CRC中下调。综上所述，这些发现表明一组差异表达的circRNA可能作为CRC的候选诊断生物标志物和有希望的治疗靶点。
Circular RNAs (circRNAs) play an important regulatory role in tumorigenesis. The aim of the present study was to analyze the circRNA expression network and elucidate its potential implications in colorectal cancer (CRC). The circRNA expression profile was analyzed in CRC tissues by RNA sequencing, and the functions of differentially expressed genes were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. The circRNA network was predicted with bioinformatics. On the basis of the results, we identified 23 differentially expressed circRNAs in CRC; GO and KEGG analyses demonstrated that the changes in circRNAs were mainly associated with regulation of biological and metabolic processes through binding to other molecules. In addition, based on the predicted coexpression network, we identified a hub circRNA, hsa_circ_0009022. Subsequently, the results of sequencing were confirmed by reverse transcription‐quantitative polymerase chain reaction, and hsa_circ_0000826 was found to be downregulated in CRC. Taken together, these findings indicate a set of differentially expressed circRNAs that may serve as a candidate diagnostic biomarker and a promising therapeutic target in CRC.