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. 2015 Jul 1;8(7):8671-5.
eCollection 2015.

MicroRNA-153 expression and prognosis in non-small cell lung cancer

Wei-Jun Chen  1 , En-Ning Zhang  2 , Zhao-Kun Zhong  2 , Mao-Zhu Jiang  3 , Xi-Feng Yang  2 , Dong-Mei Zhou  2 , Xiu-Wen Wang  4
Affiliations

MicroRNA-153 expression and prognosis in non-small cell lung cancer

Wei-Jun Chen et al. Int J Clin Exp Pathol. .

Abstract

Background: miR-153 has been found to be significantly decreased in non-small cell lung cancer (NSCLC) tissues; however, its clinical significance has not been investigated.

Methods: The expression patterns of miR-153 in 137 pairs of human lung cancer tissues and adjacent normal lung tissues were analyzed using qRT-PCR. The relationships between miR-153 expression and clinicopathological parameters were examined by chi-square test. Kaplan-Meier method and the log-rank test were used to determine the difference in overall survival (OS) rates between two groups.

Results: The expression of miR-153 was reduced significantly, compared with adjacent normal lung tissues (P<0.05). We observed that the expression level of miR-153 was positively correlated with the clinical stage (P=0.005), lymph node status (P=0.014), distant metastasis (P=0.004), and differentiated degree (P<0.001) in NSCLC patients. According to the Kaplan-Meier survival analysis, the patients with low miR-153 expression exhibited evidently poorer overall survival rates than those with high miR-153 expression (P=0.003). Multivariate analysis showed that the expression of miR-153 was an independent and significant factor associated with poor OS rates (P=0.002).

Conclusion: Decreased expression of miR-153 might be a potential unfavorable prognostic factor for patients with NSCLC, and further studies would be needed to prove our findings.

Keywords: NSCLC; biomarker; miR-153; microRNA; prognosis.

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Figures

Figure 1
Figure 1
MiR-153 was down-regulated in NSCLC tissues.
Figure 2
Figure 2
MiR-153 as a prognostic factor in NSCLC patients. Patients with low miR-153 expression had poorer overall survival probability (P<0.05).
See this image and copyright information in PMC

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