早期胃癌微小RNA表达谱的建立

Establishment of MicorRNA Expression Profiling in Early Gastric Cancer

目的建立早期胃癌微小RNA表达谱,为临床胃癌早期诊断提供研究素材。方法收集作者医院44例早期胃癌及42例正常胃黏膜临床样本,选取其中18例(9例早期胃癌和9例正常胃黏膜样本)用于人类微小RNA芯片制备。采用生物信息学算法SAM(significant analysis of microarray)比较早期胃癌与正常胃黏膜组织中差异表达的微小RNA,获得早期胃癌微小RNA表达谱。进一步利用68例验证样本(35例早期胃癌和33例正常胃黏膜样本),采用实时聚合酶链反应(real-time polymerase chain reaction,RT-PCR)对所鉴定的表达谱进行验证。结果基于早期胃癌微小RNA芯片数据,作者比较分析了早期胃癌与正常胃黏膜组织中的差异表达基因,获得了14个差异表达的人类微小RNA。采用RT-PCR实验方法,验证了其中6个微小RNA(hsa-miR-196a,hsa-miR-196b,hsa-miR-18b,hsa-miR-1308,hsa-miR-148a和hsa-miR-375)的表达水平,获得了与芯片一致的结果。结论通过采用基因芯片技术,作者建立了一组由14个微小RNA组成的早期胃癌表达谱,为临床胃癌早期诊断提供了丰富的研究素材。

Objective To identify microRNA expression profiling of early gastric cancer （GC） and supply materials for further study in early diagnosis of GC. Methods A total of 44 early GC samples and 42 normal gastric mucosa sam ples were studied. Among them 18 samples （9 early GC and 9 normal samples） were used for microRNAs microarray ex- periment. The bioinformatics algorithm, significant analysis of microarray （SAM）, was used to identify the differential exxpressed microRNAs. Real-time polymerase chain reaction （PCR） were used to validate the candidate biomarkers in 68 test samples （35 cancer and 33 normal samples）. Results A total of 14 differential miRNAs were selected as candidate bi- omarkers using SAM algorithm based on the chips data of early GC. Six microRNAs （hsa-miR-196a, hsa miR-196b, hsa- miR-18b,hsa-miR-1308,hsa-miR-148a and hsa-miR-375） were validated using real-time PCR and the consistent results with microarray were obtained. Conclusion Early GC microRNA profiling including a group of differential expressed mi- croRNAs is identified based on microRNA microarray techlology, which provides research materials for early diagnosis of GC.