Down-regulation of miR-452 is associated with poor prognosis in the non-small-cell lung cancer
Original Article

Down-regulation of miR-452 is associated with poor prognosis in the non-small-cell lung cancer

Zhicheng He, Yang Xia, Bin Liu, Xiaotong Qi, Zhi Li, Jun Wang, Liang Chen, Yijiang Chen

Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China

Contributions: (I) Conception and design: Z He, Y Chen; (II) Administrative support: L Chen, Y Chen; (III) Provision of study materials or patients: X Qi, Z Li, J Wang, L Chen; (IV) Collection and assembly of data: Z He, Y Xia, B Liu; (V) Data analysis and interpretation: Z He, Y Xia, B Liu, Y Chen; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

Correspondence to: Yijiang Chen. Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China. Email: zche2007@hotmail.com.

Background: Non-small cell lung cancer (NSCLC) remains the most life-threatening cancer in the world. The aim of the current study was to investigate the value of miR-452 for the prognosis of patients with NSCLC.

Methods: Real-time quantitative PCR (qRT-PCR) was used to test the expression level of miR-452 in 161 paired clinical NSCLC tissues and their adjacent tissues. Survival curves were made and the log rank test was used to analyze the survival difference between both groups with higher and lower expression level of miR-452. Univariate and multivariate Cox regression analyses were finally used to determine the independent factors for overall survival (OS) and disease-free survival (DFS) times.

Results: The miR-452 expressions in tumor samples (n=161) were comparably lower than those in the adjacent tissues. miR-452 expression levels were significantly associated with tumor differentiation grade, tumor size and lymph nodes metastasis. Furthermore, Kaplan-Meier survival curves showed that patients with higher expression of miR-452 was confirmed to have more favorable OS (P=0.004) and DFS (P=0.026). Multivariate survival analysis verified that miR-452 expression level, as well as lymph nodes metastasis, was an independent predictor of both OS and DFS for NSCLC patients.

Conclusions: Our study demonstrated that miR-452 functioned as a novel diagnostic biomarker and a promising prognostic predictor for NSCLC patients.

Keywords: miR-452; non-small cell lung cancer (NSCLC); prognosis; Kaplan-Meier


Submitted Oct 12, 2015. Accepted for publication Feb 13, 2016.

doi: 10.21037/jtd.2016.03.51


Introduction

Lung cancer remains the main cause of cancer-related deaths in the United States, accounting for about 27% of all estimated cancer death in 2014 (1). In China, lung cancer is also regarded the most threatening neoplasm, with the incidence of 46.08 (1/105) cases and the mortality of 37.00 (1/105) per year (2). Non-small cell lung cancer (NSCLC) is the most commonly diagnosed subtype of lung cancer. Despite advances in clinical and experimental oncology, the long-term survival remains dismal. Moreover, data from the IASLC suggested that 65% of NSCLC patients were classified at advanced stage at diagnosis (3). Additionally, the lack of efficient strategies for screening or early diagnosis contributes to the poor prognosis and lower rate of curability for lung cancer (4). Hence, it is essential to identify a novel sensitive and specific biomarker, which is potentially applicable for the early detection and clinically correlated with the prognosis of NSCLC.

MicroRNAs (miRNAs), a class of small well-conserved non-coding RNAs, play a vital role in cell biology, as they control expression of more than 30% of human genes (5). They result in gene silencing by binding to target sequences on message RNA (mRNA), and then block translation. In 2005, Johnson and his colleagues first proposed the connection between miRNA expression and genes involved in lung cancers (6). Since then, extensive evidences indicated that dysregulation of miRNAs is involved in carcinogenesis, progression and metastasis in a variety of human malignant tumors including NSCLC (7). Recently, a prospective investigation suggests that miR-21 and miR-155 are reliable predictors for metastasis, relapse and unfavorable survival of NSCLC patients (8). Additionally, the expression levels of miR-378 and miR-451 are reported to be associated with lymph nodes or brain metastases (9,10).

Limited data were reported to document the relationship of miR-452 with prognosis of malignant tumor patients. Our previous investigation has stated that the expression level of miR-452 in NSCLC was found to be related with tumor stage and the extent of lymph nodes metastasis in a cohort of 60 patients and up-regulation of miR-452 was confirmed to inhibit the invasive capability of NSCLC cells in vitro (11). Nevertheless, the prognosis value of miR-452 in NSCLC has not yet been documented. In this cohort, we used an expanded cohort of 161 patients and aimed to investigate the value of miR-452 for the prognosis of patients with NSCLC. In addition, we also investigated the expression level of miR-452 in NSCLC and its association with tumor size, tumor differentiation and lymph node metastasis.


Methods

Patients and tissue samples

The study participants involved 161 Chinese patients with NSCLC, who had received radical lung cancer resection at the Department of Thoracic Surgery, the First Affiliated Hospital of Nanjing Medical University between January 1st, 2010 and December 31st, 2013. All of the patients satisfied the following selection criteria: (I) diagnosed with primary NSCLC in stage I, II, III according to the 7th edition of UICC TNM classification of lung cancer (12); (II) snap-frozen (−80 °C) tumor samples and the corresponding adjacent tissues available for RNA analysis; (III) provided with detailed follow-up and clinical data; (IV) received no pre- or post-operative adjuvant therapy; and (V) samples independently diagnosed by two different pathologists. Both informed consent from all of the patients and approval from the local Institutional Ethics Committee were obtained.

Isolation of total RNA and quantitative real time polymerase chain reaction (qRT-PCR)

Total RNA was abstracted from the tumor and corresponding adjacent tissue specimens using the Trizol method (Invitrogen, Shanghai, China) and cDNA was synthesized using reverse transcriptase kit (TAKARA, Tokyo, Japan) as described by the manufacturer. qRT-PCR was performed to detect the expression levels of miR-452 using ABI Prism 7900HT (Applied Biosystems, CA, USA) according to the manufacturers’ protocol. TaqMan® MicroRNA Assays (Applied Biosystems, CA, USA) was used as the probe for has-miR-452 with U6 as a normalized control. The specific primers are listed as follows: miR-452 reverse transcription (RT) primer: GTCGTATCCAGTGCAGGGTC CGAGGTATTCGCACTGGATACGACTCAGTT; miR-452 forward: GCGCAACTGTTTGCAGAG, miR-452 reverse: GTGCAGGGTCCGAGGT; U6 forward: CTCGCTTCGGCAGCACA, U6 reverse: AACGCTTCACGAATTTGCGT.

Follow-up

The primary outcome was overall survival (OS), which was regarded as the interval from operation to death by any cause, while the secondary outcome was disease-free survival (DFS) defined as the time from operation until first recurrence or death by any cause (13). Telephone follow up was performed for all the included patients and the deadline for completing the interview was September 30th, 2015. The mean follow-up period was 29.9 months (range, 12.0–59.0 months; median: 30.0).

Statistical analysis

The expressions of miR-452 and U6 were estimated using the method of 2-∆Ct in this study. The chi-square test was used to test the significant differences in observed variables. Survival curves were presented using Kaplan-Meier analyses and compared using the log-rank test. Multivariate Cox proportional hazards method was applied for documenting the correlation of the variables and patients’ survival time. SPSS 19.0 (SPSS, Chicago, IL, USA) and GraphPad Prism 5.01 (GraphPad Software, Inc., La Jolla, CA, USA) software were used for analysis. Statistical significance was obtained when P value was less than 0.05.


Results

miR-452 expression level was reduced in tumor tissues

Firstly, to investigate the role of miR-452 in human NSCLC, we tested the expression levels of miR-452 in tumor tissues and corresponding adjacent specimens by using real-time quantitative PCR with the endogenous control (U6). As shown in Figure 1, we confirmed that miR-452 expression level was significantly decreased in NSCLC tumor tissues compared with adjacent tissues. This result indicated that miR-452 probably plays a crucial role in NSCLC.

Figure 1 miR-452 expression level was reduced in tumor tissues. The expression level of miR-452 in human NSCLC tissues and corresponding adjacent tissues relative to U6 were determined by qRT-PCR (n=161). T refers to tumor tissues and P refers to corresponding adjacent tissues. Data are represented as mean ± SEM. * indicates P<0.05. NSCLC, non-small cell lung cancer.

Associations between miR-452 expression levels and clinicopathological factors

Secondly, based on miR-452 expression level, we divided all of enrolled patients into two groups: those with less than or equal to median of miR-452 expression levels and those with more than median of miR-452 expression levels. The median was used as cut off. Moreover, the correlation of miR-452 expression level and clinicopathological characteristics was listed in Table 1. In this study, patients’ characteristics including age, gender, smoking index, histology and operation type were not associated with the expression of miR-452. Notably, tumor differentiation (P=0.008), size (P=0.007), and lymph node metastasis (P<0.001) as well as TNM stage (P=0.001) were significantly different in both low-miR-452 and high-miR-452 expression groups. In the current analysis, patients with lower tumor differentiation, larger tumor, or more extent of lymph node metastasis (N1 and N2) tended to have lower miR-452 expression level. Taken together, abnormal expression of miR-452 may contribute to the development of NSCLC.

Table 1
Table 1 Association of miR-452 expression levels with clinical factors in NSCLC patients
Full table

Survival analysis

To assess the effect of aberrant miR-452 expression level on prognosis, patients were stratified into low and high miR-452 expression groups according to their median miR-452 expression levels. Kaplan-Meier survival curves were performed to estimate the prognostic difference in the terms of OS and DFS between the two groups. Statistical difference was observed for both OS and DFS analyses between the two groups (miR-452 ≤ median vs. miR-452 > median). In the OS analysis, patients with low miR-452 expression level would have more unfavorable outcomes in comparison with those with high miR-452 expression level [median survival, 34.0 vs. 41.0 months; HR, 1.904; 95% confidence interval (CI), 1.224–2.964, Log-rank P=0.004] (Figure 2A). Similarly, the trend was presented in the DFS analysis (median survival, 25.0 vs. 31.0 months; HR, 1.558; 95% CI, 1.054–2.303, Log-rank P=0.026) (Figure 2B).

Figure 2 Kaplan-Meier survival curves of the 161 NSCLC patients. Overall survival rate (A) and disease-free survival rate (B) in patients with high miR-452 expression level (miR-452 > median, n=80 pts) was markedly higher than those with low miR-452 expression level (miR-452 ≤ median, n=81 pts). pts, patients. NSCLC, non-small cell lung cancer.

Univariate analysis and multivariate Cox regression analysis

Eventually, The Cox proportional hazard regression model was used to identify whether miR-452 expression level was an independent risk factor for prognosis of NSCLC patients. Univariate analysis was initially conducted prior to multivariate analysis, indicating that miR-452 were significantly correlated with OS and DFS (P=0.006 and 0.031, respectively). Comparably, the results of multivariate analysis also illustrated that the increased expression of miR-452 was an independent prognostic biomarker for suggesting favorable OS and DFS in NSCLC patients (P=0.027 and P=0.038, accordingly). In addition, the extent of lymph node metastasis and the TNM stage also have the potential to independently predicate OS and DFS in NSCLC. However, in this cohort, other factors such as histology type, differentiation grade and tumor size showed no remarkable value in predicting prognosis (Tables 2 and 3).

Table 2
Table 2 Univariate and multivariate analyses for OS in NSCLC patients
Full table
Table 3
Table 3 Univariate and multivariate analyses for DFS in NSCLC patients
Full table

Discussion

The development and progression of lung cancer is a typical and complicated process. Mounting investigations have focused on identifying miRNAs involved in development and progression of lung cancer, and they probably provide us with a series of novel potential diagnostic biomarkers for predicting and treating NSCLC patients. In the past decade, expression of miRNAs in NSCLC, such as all members of let-7 family, was confirmed to associate with prognosis (14,15). Recently, Skrzypski and his colleagues have conducted a study to comprehensively evaluate the prognostic value of miRNAs expression in operable NSCLC patients (16). After screening all of 677 miRNAs in fresh-frozen tumor samples, they eventually identified miR-662, -192 and -192* as prognostically relevant miRNAs. Additionally, a newly published meta-analysis study has shed light upon the role of circulating and tissue miR-21 in determining its diagnostic and prognostic value in cancers, which quantitatively stated that miR-21 over-expression predicted unfavorable survival results (17).

However, miR-452 expression in malignant tumors is controversial. Although miR-452 was also found to be downregulated in a variety of malignancies such as prostate cancer (18), breast cancer (19) and glioma (20), this miRNA was highly expressed in esophageal cancer (21) and urothelial carcinoma (22), as well as in hepatocellular carcinoma (23). Our previous study has documented that miR-452 expression was down-regulated in human NSCLC tissues compared with the corresponding adjacent tissues (11). The heterogeneity of miR-452 expression in diverse human malignancies could be interpreted by the fact that the biological activities of miRNAs differed in various micro-environments (20).

Previously, Liu et al. detected the expression of miR-452 in clinical glioma tissues and found that miR-452 were inversely correlated with WHO tumor grades and patients survival by directly targeting and suppressing multiple regulators such as BMI1 (B-cell specific Moloney murine leukemia virus integration site 1), LEF1 (lymphoid-enhancer binding factor 1) and TCF4 (T-cell factor 4). These stemness regulators reduced stem-like traits tumorigenesis (20). Furthermore, functional studies suggested that miR-452 inhibited proliferation, migration and invasion of prostate cancer cells via regulation of pathways of cell cycle and cellular adhesion and motility, and finally associated biochemical recurrence (18). In our previous study, we found that higher expression of miR-452 could inhibit NSCLC cell invasion and metastasis capability by modulating BMI1 expression, suggesting that miR-452 plays an important role in development of NSCLC (11). In the current study, miR-452 expression was detected in 161 paired NSCLC and adjacent tissues by using real-time PCR, and its expression level was also associated with WHO tumor stage and lymph nodes metastasis. To assess the prognostic value of miR-452 expression in NSCLC, Kaplan-Meier survival curves were constructed and then compared by the log-rank test, and we found that NSCLC patients with higher miR-452 expression had longer OS and DFS time. To further determine the possibility of miR-452 as an independent risk factor for prognosis, the level of miR-452 expression and other clinicopathological factors were evaluated by univariate and multivariate Cox regression analyses. The expression level of miR-452, accompanied by the statue of lymph node metastasis, was regarded as an independent prognostic factor for NSCLC, indicating that miR-452 may be one of novel molecular marker candidates for predicting the aggressive tumor development and favorable prognosis of NSCLC. But tumor size was not regarded as the independent predictors for OS or DFS in this cohort. That was probably due to the selection bias, as we enrolled relatively more early stage NSCLC patients (56/161 patients with diameter less than 3 cm, and 53/161 with N0).

Taken together, our study initially showed that patients with high level of miR-452 expression in tumor tissues would have a favorable prognosis for NSCLC patients. This result may encourage more concerns to its functional study in the future. Before miR-452 accepted as a novel therapeutic target of NSCLC, other potential mechanisms involving the role of miR-452 in NSCLC and large worldwide population-based investigations await to be done.


Acknowledgements

We would like to acknowledge Meilin Wang, Ph.D. for language revision and all revivers for their helpful comments on this manuscript.


Footnote

Conflicts of Interest: The authors have no conflicts of interest to declare.


References

  1. Siegel R, Ma J, Zou Z, et al. Cancer statistics, 2014. CA Cancer J Clin 2014;64:9-29. [Crossref] [PubMed]
  2. Chen W, Zheng R, Zhang S, et al. Report of cancer incidence and mortality in China, 2010. Ann Transl Med 2014;2:61. [PubMed]
  3. Heist RS, Engelman JA. SnapShot: non-small cell lung cancer. Cancer Cell 2012;21:448.e2.
  4. Sittka A, Schmeck B. MicroRNAs in the lung. Adv Exp Med Biol 2013;774:121-34. [Crossref] [PubMed]
  5. Calin GA, Croce CM. MicroRNA-cancer connection: the beginning of a new tale. Cancer Res 2006;66:7390-4. [Crossref] [PubMed]
  6. Johnson SM, Grosshans H, Shingara J, et al. RAS is regulated by the let-7 microRNA family. Cell 2005;120:635-47. [Crossref] [PubMed]
  7. Di Leva G, Croce CM. Roles of small RNAs in tumor formation. Trends Mol Med 2010;16:257-67. [Crossref] [PubMed]
  8. Yang M, Shen H, Qiu C, et al. High expression of miR-21 and miR-155 predicts recurrence and unfavourable survival in non-small cell lung cancer. Eur J Cancer 2013;49:604-15. [Crossref] [PubMed]
  9. Chen LT, Xu SD, Xu H, et al. MicroRNA-378 is associated with non-small cell lung cancer brain metastasis by promoting cell migration, invasion and tumor angiogenesis. Med Oncol 2012;29:1673-80. [Crossref] [PubMed]
  10. Wang XC, Tian LL, Jiang XY, et al. The expression and function of miRNA-451 in non-small cell lung cancer. Cancer Lett 2011;311:203-9. [Crossref] [PubMed]
  11. He Z, Xia Y, Pan C, et al. Up-Regulation of MiR-452 Inhibits Metastasis of Non-Small Cell Lung Cancer by Regulating BMI1. Cell Physiol Biochem 2015;37:387-98. [Crossref] [PubMed]
  12. Rami-Porta R, Chansky K, Goldstraw P. Updated lung cancer staging system. Future Oncol 2009;5:1545-53. [Crossref] [PubMed]
  13. Zheng Z, Liang W, Wang D, et al. Adjuvant chemotherapy for patients with primary hepatocellular carcinoma: a meta-analysis. Int J Cancer 2015;136:E751-9. [Crossref] [PubMed]
  14. Takamizawa J, Konishi H, Yanagisawa K, et al. Reduced expression of the let-7 microRNAs in human lung cancers in association with shortened postoperative survival. Cancer Res 2004;64:3753-6. [Crossref] [PubMed]
  15. Landi MT, Zhao Y, Rotunno M, et al. MicroRNA expression differentiates histology and predicts survival of lung cancer. Clin Cancer Res 2010;16:430-41. [Crossref] [PubMed]
  16. Skrzypski M, Czapiewski P, Goryca K, et al. Prognostic value of microRNA expression in operable non-small cell lung cancer patients. Br J Cancer 2014;110:991-1000. [Crossref] [PubMed]
  17. Zhu W, Xu B. MicroRNA-21 identified as predictor of cancer outcome: a meta-analysis. PLoS One 2014;9:e103373. [Crossref] [PubMed]
  18. Kristensen H, Haldrup C, Strand S, et al. Hypermethylation of the GABRE~miR-452~miR-224 promoter in prostate cancer predicts biochemical recurrence after radical prostatectomy. Clin Cancer Res 2014;20:2169-81. [Crossref] [PubMed]
  19. van Schooneveld E, Wouters MC, Van der Auwera I, et al. Expression profiling of cancerous and normal breast tissues identifies microRNAs that are differentially expressed in serum from patients with (metastatic) breast cancer and healthy volunteers. Breast Cancer Res 2012;14:R34. [Crossref] [PubMed]
  20. Liu L, Chen K, Wu J, Shi L, et al. Downregulation of miR-452 promotes stem-like traits and tumorigenicity of gliomas. Clin Cancer Res 2013;19:3429-38. [Crossref] [PubMed]
  21. Liu SG, Qin XG, Zhao BS, et al. Differential expression of miRNAs in esophageal cancer tissue. Oncol Lett 2013;5:1639-42. [PubMed]
  22. Veerla S, Lindgren D, Kvist A, et al. MiRNA expression in urothelial carcinomas: important roles of miR-10a, miR-222, miR-125b, miR-7 and miR-452 for tumor stage and metastasis, and frequent homozygous losses of miR-31. Int J Cancer 2009;124:2236-42. [Crossref] [PubMed]
  23. Wang Y, Toh HC, Chow P, et al. MicroRNA-224 is up-regulated in hepatocellular carcinoma through epigenetic mechanisms. FASEB J 2012;26:3032-41. [Crossref] [PubMed]
Cite this article as: He Z, Xia Y, Liu B, Qi X, Li Z, Wang J, Chen L, Chen Y. Down-regulation of miR-452 is associated with poor prognosis in the non-small-cell lung cancer. J Thorac Dis 2016;8(5):894-900. doi: 10.21037/jtd.2016.03.51

Download Citation