Gastric cancer is one of the most commonly occurring cancers worldwide. Investigation of long noncoding RNAs is of increasing interest, particularly in relation to their contribution to progression and prognosis of gastric cancers; however, insufficient studies been performed investigating the part of long noncoding RNAs play in gastric cancer carcinogenesis. Patterns of dysregulated long noncoding RNA and messenger RNA between mucosa gastric cancer and adjacent normal tissues were identified using long noncoding RNAs microarray analysis. Quantitative real-time polymerase chain reaction was conducted as a means to verify the obtained data. Both Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were subsequently used to investigate the function of dysregulated long noncoding RNAs and messenger RNAs. Cis and trans action was used to predict the possible targets of long noncoding RNAs, and a coexpression network was created to simulate the complex intergenic interactions. Ninety-five dysregulated long noncoding RNAs and 123 messenger RNAs were identified, and quantitative real-time polymerase chain reaction was used to validate 6 filtered long noncoding RNAs. Gene Ontology and KEGG pathway analyses identified several remarkably biological processes and signaling pathways, including spliceosome, RNA transport, and ubiquitin-mediated proteolysis. The transcriptional factors MYC, GABPA, and E2F1 were found to play a central function in the long noncoding RNAs process, as indicated by the coexpression network. This study revealed the dysregulated long noncoding RNA profiles of mucosal gastric cancer. The results shed light on the biological function of long noncoding RNAs in gastric cancer pathogenesis. This provides useful information for exploring potential early screening biomarkers in gastric cancer.

胃癌是全世界最常见的癌症之一。对长的非编码RNA的研究越来越引起人们的兴趣，特别是在它们对胃癌的进展和预后的贡献方面。但是，尚未进行足够的研究来调查长期非编码RNA在胃癌致癌作用中的作用。使用长非编码RNA微阵列分析鉴定粘膜胃癌和邻近正常组织之间长非编码RNA和信使RNA失调的模式。进行实时定量聚合酶链反应作为验证所获得数据的手段。随后，使用基因本体论和京都基因与基因组百科全书（KEGG）途径分析了失调的长非编码RNA和信使RNA的功能。使用顺式和反式作用来预测长的非编码RNA的可能靶标，并创建了一个共表达网络来模拟复杂的基因间相互作用。鉴定了九十五个失调的长非编码RNA和123个信使RNA，并且使用定量实时聚合酶链反应来验证6个过滤的长非编码RNA。基因本体论和KEGG通路分析确定了几个显着的生物学过程和信号通路，包括剪接体，RNA转运和泛素介导的蛋白水解。共表达网络表明，转录因子MYC，GABPA和E2F1在长期的非编码RNA过程中起着核心作用。这项研究揭示了粘膜胃癌的长期非编码RNA分布失调。该结果揭示了长非编码RNA在胃癌发病机理中的生物学功能。这为探索潜在的胃癌早期筛选生物标志物提供了有用的信息。