摘要 目的 探讨环状RNA(circRNA)在胃癌组织及对应癌旁组织中表达谱的变化，分析两者之间的差异，筛选差异表达的circRNA，鉴定并进行功能预测。 方法 通过高通量circRNA芯片技术筛选胃癌病人癌组织及对应癌旁组织中circRNA表达谱的差异，经过对原始数据进行预处理、归一化后，筛选出差异表达的circRNA，并使用实时定量PCR（RT-qPCR）技术对其进行验证和生物信息学预测。 结果 芯片检测结果显示，胃癌组织样本与其对应的癌旁组织样本之间存在1 042条差异表达的circRNA，其中在肿瘤组织中高表达的有475条，低表达的有567条(变化≥2倍且P＜0.05)。对筛选所得的差异表达circRNA的亲本基因进行生物信息学分析，预测了其潜在的生物学功能。RT-qPCR结果显示在上调最显著的6个circRNA中，只有hsa_circ_0001666在胃癌细胞系和组织中的表达与芯片结果一致。Arraystar自主研发的miRNA靶标预测软件显示，hsa_circ_000166可能通过结合hsa-miR-450a-1-3p、hsa-miR-661、hsa-miR-493-5p、hsa-miR-208a-5p和hsa-miR-612发挥其miRNA“海绵”的功能。 结论 胃癌组织与对应癌旁组织比较，circRNA表达谱发生了显著变化，这些差异表达的circRNA可能与胃癌的发生发展密切相关。 Abstract：Objective To investigate the difference in expression profiles of circular RNA (circRNA) between gastric cancer tissue and adjacent tissue, and to screen out differentially expressed circRNAs for identification and function prediction. Methods The high-throughput circRNA microarray technique was used to investigate the difference in expression profiles of circRNAs between gastric cancer tissue and adjacent tissue. Differentially expressed circRNAs were screened out after data preprocessing and normalization, and RT-qPCR was used for validation and bioinformatic prediction. Results The results of microarray showed that there were 1 042 differentially expressed circRNAs between gastric cancer tissue samples and corresponding adjacent tissue samples, among which 475 were highly expressed in tumor tissue and 567 were lowly expressed in tumor tissue (fold change ≥2 and P<0.05). A bioinformatics analysis was performed for the parental genes of the differentially expressed circRNAs, and their potential biological functions were predicted. RT-qPCR showed that among the 6 significantly upregulated circRNAs, the expression of hsa_circ_0001666 in gastric cancer cell lines and tissue was consistent with the results of microarray. The self-developed miRNA target prediction software by Arraystar showed that hsa_circ_000166 exerted its miRNA “sponge” function by binding to hsa-miR-450a-1-3p, hsa-miR-661, hsa-miR-493-5p, hsa-miR-208a-5p, and hsa-miR-612. Conclusion There are significant differences in the expression profiles of circRNAs between gastric cancer tissue and adjacent tissue, and these differentially expressed circRNAs may be closely associated with the development and progression of gastric cancer
