Potentially predictive microRNAs of gastric cancer with metastasis to lymph node

Authors:
  • XXXiang-Yang Xue
    Xiang-Yang Xue
  • ZCZhe-Jing Chen
    Zhe-Jing Chen
  • SHShao-Liang Han
    Shao-Liang Han
  • YHYing-Peng Huang
    Ying-Peng Huang
  • LZLi-Fang Zhang
    Li-Fang Zhang
  • GZGuan-Bao Zhu
    Guan-Bao Zhu
Open Access
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Abstract
To detect the expression of 60 microRNAs (miRNAs) in gastric cancer tissues and find new predictive biomarkers of gastric cancer with metastasis. The expressions of 60 candidate miRNAs in 30 gastric cancer tissues and paired normal tissues were detected by stem-loop real-time reverse transcription-polymerase chain reaction. After primary screening of miRNAs expression, 5 selected miRNAs were further testified in another 22 paired gastric tissues. Based on the expression level of miRNAs and the status of metastasis to lymph node (LN), receiver-operating-characteristic (ROC) curve were used to evaluate their ability in predicting the status of metastasis to LN. Thirty-eight miRNAs expressions in gastric cancer tissues were significantly different from those in paired normal tissues (P < 0.01). Among them, 31 miRNAs were found to be up-expressed in cancer tissues and 1 miRNAs were down-expressed ≥ 1.5 fold vs paired normal gastric tissue. Five microRNAs (miR-125a-3p, miR-133b, miR-143, miR-195 and miR-212) were differently expressed between different metastatic groups in 30 gastric cancer biopsies (P < 0.05). Partial correlation analysis showed that hsa-mir-212 and hsa-mir-195 were correlated with the status of metastasis to LN in spite of age, gender, tumor location, tumor size, depth of invasion and cell differentiation. ROC analysis indicated that miR-212 and miR-195 have better sensitivities (84.6% and 69.2%, respectively) and specificities (both 100%) in distinguishing biopsies with metastasis to LN from biopsies without metastasis to LN. miR-212 and miR-195 could be independent biomarkers in predicting the gastric cancer with metastasis to LN.

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