›› 2010, Vol. 30 ›› Issue (11): 1317-.doi: 10.3969/j.issn.1674-8115.2010.11.001

• Original article (Basic research) • Previous Articles     Next Articles

Preliminary analysis of miRNA expression profile of gastric cancer tissues

YANG Sheng1,2, ZHANG Wen2, YANG Yan-qing2, ZHANG Xiao-yan2, GAO Heng-jun2,3, ZHANG Qing-hua1,2   

  1. 1.State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China；2.National Engineering Research Center for Biochip at Shanghai, Shanghai 201203, China；3.Institute of Digestive Systems Diseases, Tongji University, Shanghai 200065, China
  • Online:2010-11-25 Published:2010-11-29
  • Supported by:

    National Basic Research Program of China, 973 Program, 2006CB910402；Shanghai Science and Technology Committee Foundation, 07QB14037

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Abstract:

Objective To analyse the expression profile of specific microRNA (miRNA) of gastric cancer tissues. Methods miRNA microarrays were employed to detect the expression profile of miRNA of 21 paired gastric cancer tissues and corresponding paracancerous normal tissues, and preliminary bioinformatic analyses were conducted. The microarray results were validated by Real-Time PCR. Results It was revealed by miRNA microarray detection that there were 88 miRNA with differential expression in gastric cancer tissues and paracancerous normal tissues, among which miR-21, miR-196b, miR-301a, miR-431*, miR-550*, miR-18a and miR-135b were significantly up-regulated, and miR-139-3p, miR-628-3p, miR-596, miR-99b* and miR-638 were significantly down-regulated. The findings of RT-PCR on 4 miRNA (miR-181 and miR-19b of up-regulation and miR-134 and miR-31 of down-regulation) were in high concordance with microarray results. Conclusion There is specific miRNA expression profile of gastric cancer tissues, and these differentially expressed miRNA may serve as new biomarkers of gastric cancer.

Key words: microRNA, expression profile, gastric cancer, microarray, Real-Time PCR