Potentially predictive microRNAs of gastric cancer with metastasis to lymph node.

Abstract

AIM:

To detect the expression of 60 microRNAs (miRNAs) in gastric cancer tissues and find new predictive biomarkers of gastric cancer with metastasis.

METHODS:

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.

RESULTS:

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.

CONCLUSION:

miR-212 and miR-195 could be independent biomarkers in predicting the gastric cancer with metastasis to LN.

• Authors: Wen-Yi Wu, Xiang-Yang Xue, Zhe-Jing Chen, Shao-Liang Han, Ying-Peng Huang, Li-Fang Zhang, Guan-Bao Zhu, Xian Shen
• Journal: World journal of gastroenterology (World J Gastroenterol) Vol. 17 Issue 31 Pg. 3645-51 (Aug 21 2011) ISSN: 2219-2840 [Electronic] United States
• PMID: 21987613 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Chemical References

• Genetic Markers
• MicroRNAs

Topics

• Gene Expression Profiling
• Genetic Markers
• Lymph Nodes (pathology)
• Lymphatic Metastasis (genetics, pathology)
• MicroRNAs (metabolism)
• ROC Curve
• Stomach Neoplasms (genetics, secondary)