Sun Junlong, Jiang Rui, Song Mengruo, Yao Junzhong, Hou Shiqiang, Zhu Yunhua, Ji Xiang, Sheng Hao, Tang Zhongyu, Liu Qianqian, Jia Zhongzheng, Shi Wei, Shi Jinlong
Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair and Department of Neurosurgery, The Affiliated Hospital of Nantong University, Nantong, China.
Department of Neurosurgery, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China.
Front Oncol. 2020 Mar 10;10:253. doi: 10.3389/fonc.2020.00253. eCollection 2020.
The aim of the present study was to explore the expression profiles of lncRNAs and mRNAs in glioma patients and to elucidate any potential relationship between lncRNAs and mRNAs in glioma. High-throughput transcriptome sequencing of mRNAs and lncRNAs from six normal tissues and 16 glioma tissues (grade II, six cases; grade III, four cases; and grade IV, six cases) was performed. Series test of cluster (STC) analysis was used to screen significant trending models associated with glioma. Gene co-expression networks were constructed for the differentially expressed lncRNAs and mRNAs, and gene-ontology (GO) and pathway-enrichment analyses were further performed. Quantitative real-time PCR was performed to validate the five most differentially expressed lncRNAs and mRNAs. After filtering the raw sequencing data, we found 578 lncRNAs and 3,216 mRNAs that were significantly dysregulated in glioma (fold change ≥ 2, < 0.05). Twenty model profiles of lncRNA and 10 model profiles of mRNA were summarized, and three patterns of lncRNAs and two patterns of mRNAs were of clinical significance. Three gene co-expression networks between mRNAs and lncRNAs were built to clarify the relationship between lncRNAs and mRNAs in glioma. GO and pathway analyses indicated that the differentially expressed lncRNAs and mRNAs were enriched in several biological processes and signaling pathways associated with tumorigenesis. Both lncRNAs and mRNAs exhibited dynamic differential expression profiles that indicated their potential roles in different degrees of glioma malignancy. A series of bioinformatics analyses indicated that most of these lncRNAs and mRNAs are involved in important biological processes and pathways associated with the pathogenesis of glioma. These results provide potential directions and valuable resources for future investigations via the comprehensive integration of these lncRNAs and mRNAs.
本研究的目的是探索lncRNAs和mRNAs在胶质瘤患者中的表达谱，并阐明lncRNAs与mRNAs在胶质瘤中的潜在关系。对6个正常组织和16个胶质瘤组织（Ⅱ级，6例；Ⅲ级，4例；Ⅳ级，6例）的mRNAs和lncRNAs进行了高通量转录组测序。采用聚类序列检验（STC）分析筛选与胶质瘤相关的显著趋势模型。构建了差异表达lncRNAs和mRNAs的基因共表达网络，并进一步进行了基因本体（GO）和通路富集分析。进行了定量实时PCR以验证5个差异表达最显著的lncRNAs和mRNAs。在对原始测序数据进行过滤后，我们发现578个lncRNAs和3216个mRNAs在胶质瘤中显著失调（变化倍数≥2，<0.05）。总结了20个lncRNA模型谱和10个mRNA模型谱，其中3种lncRNA模式和2种mRNA模式具有临床意义。构建了3个mRNAs与lncRNAs之间的基因共表达网络，以阐明lncRNAs与mRNAs在胶质瘤中的关系。GO和通路分析表明，差异表达的lncRNAs和mRNAs富集于与肿瘤发生相关的几个生物学过程和信号通路中。lncRNAs和mRNAs均表现出动态差异表达谱，表明它们在不同程度的胶质瘤恶性程度中具有潜在作用。一系列生物信息学分析表明，这些lncRNAs和mRNAs中的大多数参与了与胶质瘤发病机制相关的重要生物学过程和通路。这些结果通过对这些lncRNAs和mRNAs的综合整合，为未来的研究提供了潜在的方向和有价值的资源。
