Expression of miR-29c, miR-93, and miR-429 as potential biomarkers for detection of early stage non-small lung cancer

138Citations
Citations of this article
54Readers
Mendeley users who have this article in their library.

Abstract

Background: Altered expression of miRNA expression contributes to human carcinogenesis. This study was designed to detect aberrant miRNA expressions as a potential biomarker for early detection and prognosis prediction of non-small cell lung cancer (NSCLC). Methods: miRNA array was used to profile differentially expressed miRNAs and Taqman-based quantitative RT-PCR assays were used to analyze levels of miR-29c, miR-93, and miR-429 expression in NSCLC tissue samples, corresponding normal tissue samples, and serum samples from 70 NSCLC patients as well as in serum samples from 48 healthy controls. Results: Levels of miR-29c and miR-93 expression were upregulated in NSCLC tissues, while serum levels of miR-29c were also upregulated, but levels of serum miR-429 were decreased in NSCLC. Moreover, the levels of miR-429 expression in NSCLC tissues were associated with those in serum samples. Receiver operating characteristic (ROC) curve analysis showed that at the optimal cut-off point, the areas under the ROC curve for serum levels of miR-29c and miR-429 were 0.723 and 0.727, respectively, levels which are higher than that of carcinoma embryonic antigen (0.534) in diagnosis of stage I NSCLC. In addition, serum levels of miR-429 were associated with poor overall survival of NSCLC patients. Both univariate and multivariate analyses showed that serum miR-429 level was an independent prognostic predictor for NSCLC. Conclusions: The results of the current study suggest that detection of serum miR-29c and miR-429 expression should be further evaluated as a novel, non-invasive biomarker for early stage NSCLC. © 2014 zhu et al.

Figures

  • Table 1. Clinicopathological features of 70 NSCLC patients.
  • Figure 1. Differential expression of miRNAs in NSCLC. A, qRT-PCR detection of three miRNAs in 70 NSCLC tumors and the corresponding normal lung tissues. P-values for miR-29c, miR-93, and miR-429 were 0.0408, 0.0444, and 0.3903, respectively, using a paired sample t-test. B, qRT-PCR analysis of serum miRNA levels in serum samples of 70 NSCLC patients vs. 48 healthy controls. P-values of serum miR-29c, miR-93, and miR-429 were 0.0012, 0.9291, and 0.0001, respectively, using an unpaired sample t-test. C, D, E, Association of these miRNA levels between NSCLC tissue and serum samples. Pearson correlation test showed that miR-429 expression in serum was significantly associated with that in NSCLC tissues (r = 0.3578, P = 0.0024), whereas serum levels of miR-29c and miR-93 were not associated with those in NSCLC tissues (r =20.07877, P = 0.5169 and r = 0.1515, P = 0.2105, respectively). *P,0.05 between groups. doi:10.1371/journal.pone.0087780.g001
  • Table 2. Associations of aberrant miRNA expression with clinicopathological data of NSCLC patients.
  • Figure 2. ROC curves for serum miRNA and CEA levels in NSCLC patients. A, miR-29c; B, miR-429; C, CEA showed ROC curves and an AUC with diagnostic power to distinguish NSCLC patients from healthy controls. D, miR-29c; E, miR-429; F, CEA showed ROC curves and an AUC with diagnostic power to distinguish stage I NSCLC patients from healthy controls. doi:10.1371/journal.pone.0087780.g002
  • Figure 3. Kaplan-Meier survival curves for NSCLC patients according to serum level of miR-429. P-value for survival of patients with high and low levels of miRNA expression was calculated using the log-rank test. *P,0.05 between groups. doi:10.1371/journal.pone.0087780.g003
  • Table 3. Univariate and multivariate Cox hazard regression analysis.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Zhu, W., He, J., Chen, D., Zhang, B., Xu, L., Ma, H., … Le, H. (2014). Expression of miR-29c, miR-93, and miR-429 as potential biomarkers for detection of early stage non-small lung cancer. PLoS ONE, 9(2). https://doi.org/10.1371/journal.pone.0087780

Readers over time

‘14‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘25036912

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 26

70%

Researcher 7

19%

Professor / Associate Prof. 4

11%

Readers' Discipline

Tooltip

Medicine and Dentistry 17

44%

Agricultural and Biological Sciences 14

36%

Biochemistry, Genetics and Molecular Bi... 6

15%

Immunology and Microbiology 2

5%

Save time finding and organizing research with Mendeley

Sign up for free
0