目的 ·为了探究胃癌的潜在机制，通过基因芯片技术对 3对胃癌新鲜组织及其邻近的正常组织进行了长链非编码 RNA（lncRNA）和 mRNA表达谱分析。方法 ·通过基因本体（ GO）注释分析及京都基因和基因组百科全书（ KEGG）通路富集分析，对差异表达的 lncRNA和 mRNA进行功能注释。此外，使用 MATLAB 2012b和 Cytoscape软件的超几何累积分布函数找到与其相应 mRNA的相关性，构建共表达网络。进一步使用定量反转录聚合酶链反应（ qRT-PCR）在 30对胃癌新鲜组织中验证筛选的 5种关键 lncRNA的差异表达。结果 ·与正常癌旁组织相比，胃癌组织中发现异常表达的 1 499个 lncRNA和 6 002个 mRNA。qRT-PCR结果显示 5个关键 lncRNA与基因芯片数据相一致。此外，顺式调控基因分析显示了这些关键 lncRNA的染色体定位，揭示了与其相关的共表达基因。反式分析结果表明，有许多转录因子参与调节 lncRNA和基因表达。结论 ·这些胃癌组织中差异表达的 lncRNA可能作为新型的生物标志物，并为胃癌靶向治疗提供有价值的信息。

Objective · To explore the potential mechanisms of gastric cancer (GC), long noncoding RNA (lncRNA) and mRNA profiling of 3 paired GC fresh tissues and their matched adjacent non-cancerous tissues was detected through microarray analysis. Methods · The functions of differentially expressed lncRNA and mRNA were recognizedgene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. The co- network was constructed to find the relevance with corresponding mRNAusing hypergeometric cumulative distribution function of MATLAB 2012b and Cytoscape software. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to detect the of 5 differentially expressed key lncRNAs, which were selected in 30 paired GC fresh tissues. Results · Compared with normal tissues, 1 499 lncRNAs and 6 002 mRNAs were dysregulated in GC tissues. The qRT-PCR results showed that the 5 key lncRNAs were consistent with those the microarray data. Cis-regulatory gene analyses showed the chromosome location of these key lncRNAs, and revealed the associated co-expressed genes. The trans-analyses results demonstrated that enormous transcription factors regulated lncRNA and gene . Conclusion · These differentially expressed lncRNAs in GC may be promising biomarkers and provide valuable information for GC targeted treatment.