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. 2019 Jun 14;98(24):e16008. doi: 10.1097/MD.0000000000016008

Expression of microRNA-3133 correlates with the prognosis in patients with clear cell renal cell carcinoma

Xiaoyan Chen 1,
Editor: Lu Wang1
PMCID: PMC6587602  PMID: 31192947

Abstract

Clear cell renal cell carcinoma (ccRCC) represents a prevalent urological malignancy among men worldwide. MicroRNAs (miRNAs) are involved in the progression of diverse human cancers. The aim of this study was to explore the expression profile and prognostic value of microRNA-3133 (miR-3133) in ccRCC.

The expression of miR-3133 in ccRCC tissues and non-cancerous tissues was measured by quantitative real-time polymerase chain reaction (qRT-PCR). Chi-square test was applied to evaluate the relationship between miR-3133 expression and clinical characteristics. Overall survival curve was constructed by Kaplan–Meier with log-rank test. The prognostic value of miR-3133 in ccRCC was estimated by Cox regression analysis.

MiR-3133 was downregulated in ccRCC samples compared to the matched noncancerous samples (P <.01). Moreover, its expression level was correlated with T stage, vascular invasion and lymph node metastasis (all P <.05). Survival curves demonstrated that patients with low level of miR-3133 underwent lower overall survival than those with high level (log rank test, P = .002). MiR-3133 might be an independent prognostic biomarker in ccRCC patients (HR = 2.802, 95% CI = 1.391–5.646, P = .004).

MiR-3133 is downregulated, and plays inhibitory roles in aggressive progression of ccRCC. MiR-3133 may be an independent prognostic biomarker for ccRCC.

Keywords: clear cell renal cell carcinoma, MiR-3133, prognosis

1. Introduction

Renal cell carcinoma (RCC) represents one of the most common malignancies and a common cause of cancer-related deaths in male in developed countries.[1] Based on cytogenetic and histological signatures, RCC can be divided into non-clear cell renal cell carcinoma (nccRCC) and clear cell renal cell carcinoma (ccRCC).[2,3] The cancer is characterized by aggressive metastasis. Most of the patients are at metastatic stage when diagnosed, missing the optimal operation chance. Despite of surgery, some of the patients still develop postoperative recurrence or metastasis.[4,5] Metastatic stage represents a challenge for ccRCC patients, due to its high resistance to chemotherapy and radiotherapy.[6,7] Although great progress has been made in the therapeutic strategy, the 5-year survival rates of patients with ccRCC are still not ideal.[8,9] Until now, the progression of ccRCC cannot be sufficiently predicted by clinical characteristics or common molecular biomarkers.[10] Therefore, novel and effective prognostic biomarkers are urgently needed for prognosis evaluation and improving the managements of ccRCC.

MicroRNAs (miRNAs) are a class of short and non-coding RNA molecules. They have been reported to negatively regulate gene expression, thus degradation of their targeted mRNAs and suppression of transplantation.[11,12] Accumulated evidences suggest that miRNAs play important roles in various malignancies via controlling tumor cell proliferation, invasion, migration, and apoptosis.[1316] It is considered that the abnormal expression of miRNAs is significantly associated with tumorigenesis that can act as the diagnostic and prognostic biomarker in human cancers, including ccRCC.[1719] In the previous tumor investigation, a variety of miRNAs were confirmed as oncogenes or tumor suppressor in the pathogenesis of ccRCC. ccRCC related oncogenic miRNAs included miR-630, miR-155, miR-106b, and so on,[2022] while miR-182, miR-206, and miR-335 played suppressive roles in progression of ccRCC.[2325] MicroRNA-3133 (MiR-3133), a common member of cancer-related miRNAs, has ever been reported to be located at the cancer-related cytogenetic defined common fragiles site (CFSs).[26] It was a novel identified miRNA, and its functional roles in progression of ccRCC remained poorly known.

In the present study, we sought to investigate the expression level of miR-3133 in ccRCC tissues samples, as well as its predictive significance for clinical outcomes of patients with ccRCC.

2. Materials and methods

2.1. Patients and tissue sample collection

Total of 135 ccRCC patient were enrolled in our study. They were diagnosed in Zhongnan Hospital, None of the patients received chemotherapy or radiotherapy before samples collection in this study. ccRCC tissue samples and matched noncancerous samples were collected from each patient and immediately stored in liquid nitrogen at −80°C for further experiments. Meanwhile, we investigated the clinicopathological characteristics of ccRCC patients, including the patients’ age, gender, tumor size, T stage, vascular invasion, lymph node metastasis, and Fuhrman grade. The status of vascular invasion was detected by magnetic resonance imaging (MRI). When ccRCC invaded blood vessel, renal veins thickened, uneven density. The clinical characteristics of the patients were summarized in Table 1.

Table 1.

Correlation of miR-3133 with the clinicopathological features of patients with ccRCC.

2.1.

All the patients with ccRCC were followed up ranged from 6 to 60 months by telephone. The protocol of this study and the use of these clinical materials were approved by the ethics committee of Zhongnan Hospital. All the patients provided the informed consents before tissues collection.

2.2. RNA extraction and quantitative real-time polymerase chain reaction (qRT-PCR)

Total RNAs including miRNAs were isolated from the ccRCC tissue samples by using TRIzol reagent (Incitrogen, Carlsbad, CA) as per the manufacturer's protocols. The ratio of OD260/OD280 was measured to investigate the concentration and purity of RNAs.

The relative expression of miR-3133 was examined by qRT-PCR. The cDNAs used in the PCR reaction were obtained by reverse transcription of RNAs with the AMV reverse transcription system (Promega, CA). qRT-PCR reaction was performed on the 7300 Real-Time PCR System (Applied Biosystems, MA) with the SYBR Green PCR master mix (Applied Biosystems). In this reaction, U6 gene was selected to act as the endogenous control gene, and the relative expression of miR-3133 was calculated with 2−ΔΔCt method and normalized by the U6 expression level.

2.3. Statistical analysis

All the statistical analyses were performed in SPSS 18.0 statistical software (SPSS, Chicago, IL). The continuous data in these analyses were expressed as mean ± standard deviation (SD). The different expression of miR-3133 between ccRCC samples and the paired noncancerous samples was analyzed by Student t test. The correlation of miR-3133 expression with the clinicopathological data was examined with Chi-square test. Overall survival curve was built by Kaplan–Meier method with log-rank test. Cox regression analysis was carried out to analyze the prognostic value of miR-3133 and the clinicopathological features in ccRCC. P values less than .05 were considered statistically significant.

3. Results

3.1. The expression level of miR-3133

In the present study, the expression level of miR-3133 was calculated with the method of qRT-PCR. The result of qRT-PCR demonstrated that the expression of miR-3133 was significantly downregulated in the ccRCC samples compared with the paired noncancerous samples (P <.01, Fig. 1).

Figure 1.

Figure 1

The expression level of miR-3133 in both ccRCC samples and matched non-cancerous samples. The expression of miR-3133 was lower in ccRCC samples than that in the paired noncancerous samples. ∗∗: suggested P <.01.

3.2. Association between miR-3133 and clinicopathological features of ccRCC patients

The patients were divided into high expression group (n = 60) and low expression group (n = 75) based on their median expression value of miR-3133. Chi-square test was used to assess the correlation of miR-3133 with the clinicopathological data of ccRCC patients. The results revealed that downregulated miR-3133 expression was correlated with the advanced T stage (P = .012), positive vascular invasion (P = .044) and lymph node metastasis (P = .010). However, the significant relationship between miR-3133 with patients’ age, gender, tumor size, and Fuhrman grade was not found in this analysis (all P >.05) (Table 1).

3.3. The prognostic value of miR-3133 in patients with ccRCC

The result of Kaplan–Meier survival analysis suggested that the patients with low expression of miR-3133 had poorer survival rates than those with high expression (log-rank P = .002, Fig. 2). In order to examine the prognostic value of miR-3133 in ccRCC, Cox analysis was performed. The results in Table 2 suggested that miR-3133 was an independent prognostic factor in ccRCC (HR = 2.802, 95% CI = 1.391–5.646, P = .004).

Figure 2.

Figure 2

The Kaplan-Meier survival curves based on the expression of miR-3133 in patients with ccRCC. The downregulated expression of miR-3133 indicated poor survival rates for patients suffering from ccRCC (log rank test, P = .002).

Table 2.

Cox regression analysis for prognosis in ccRCC patients.

3.3.

4. Discussion

RCC is a most frequently diagnosed urological malignancy among men in the world.[27] ccRCC represents the most common subtype of RCC. Due to the non-specific symptoms at the early stage, most of the patients appear metastasis at the time of diagnosis, contributing to high mortality of this disease.[28] Therefore, identification of novel and effective prognostic biomarker is crucial for patients suffering from ccRCC.

MiRNAs are a class of small non-coding RNAs that can regulate gene expression at post-transcriptional level. It is considered that miRNAs can bind to the 3’-untranslated region (3’-UTR) of their targeted mRNAs, thus repressing the translation of functional proteins.[29] Abnormal expression of miRNAs may contribute to disease, like malignancy. In addition, the expression patterns of miRNAs can be stably and accurately detected in archived tissue specimens and body fluids.[30] Therefore, miRNAs may provide a promising way for early detection and prognosis evaluation of cancer.

In the present study, we investigated the clinical significance of miR-3133 in ccRCC. The expression level of miR-3133 in ccRCC tissues was detected by using qRT-PCR analysis. The result suggested that the expression of miR-3133 was decreased in ccRCC samples compared with the matched noncancerous samples. Moreover, the downregulated expression of miR-3133 was significantly correlated with the advanced T stage, positive vascular invasion and lymph node metastasis of ccRCC patients. However, the expression profiles of miR-3133 did not show significant association with patients’ age, gender, tumor size, or Fuhrman grade. All the data revealed that miR-3133 served as a tumor suppressor and played inhibitory roles in aggressive progression of ccRCC. The conclusion was consistent with the previous research carried out in other types of cancer. Lu et al found that the expression profiles of miR-3133 were significantly different between laryngeal carcinoma tissues and adjacent normal tissues, suggesting its roles in early onset and development of the disease.[31] However, it was worthy noting that miR-3133 was a novel identified cancer-related gene, and its functional roles in tumorigenesis remained poorly known. Therefore, further investigation was still needed to confirm the action of miR-3133 in the pathogenesis of ccRCC.

Given their pivotal roles in tumor progression, accumulating evidence had proved that miRNAs could act as diagnostic and prognostic biomarkers in a wide of human cancers, including ccRCC. Vergho et al suggested that the expression of miR-126 and miR-21 might independently predict cancer-specific survival for ccRCC patients that could be employed as prognostic biomarkers for the cancer.[32] Nofech-Mozes et al reported that miR-194 was down-regulated in ccRCC, and correlated with aggressive clinical characteristics and poor prognosis of the patients.[33] Khella et al suggested that the expression of miR-126 was decreased in ccRCC patients, and showed obvious association with dismal disease-free survival and overall survival.[34] In the present study, we investigated the prognostic value of miR-3133 expression in ccRCC patients. The survival curves demonstrated that patients with high expression of miR-3133 had a prolonged overall survival than those with low level. Furthermore, cox regression analysis suggested that miR-3133 had the potential to serve as an independent prognostic factor in patients with ccRCC. However, due to the relatively small sample in the study, further investigations were still required to identify the application value of miR-3133 in predicting prognosis of ccRCC patients.

Taken together, miR-3133 is down-regulated in the ccRCC samples and plays an inhibitory role in the aggressive progression of ccRCC. MiR-3133 mat is a potential prognostic biomarker in patients with ccRCC.

Author contributions

Conceptualization: Xiaoyan Chen.

Data curation: Xiaoyan Chen.

Formal analysis: Xiaoyan Chen.

Funding acquisition: Xiaoyan Chen.

Investigation: Xiaoyan Chen.

Methodology: Xiaoyan Chen.

Project administration: Xiaoyan Chen.

Resources: Xiaoyan Chen.

Software: Xiaoyan Chen.

Supervision: Xiaoyan Chen.

Validation: Xiaoyan Chen.

Visualization: Xiaoyan Chen.

Writing – original draft: Xiaoyan Chen.

Writing – review & editing: Xiaoyan Chen.

Footnotes

Abbreviations: ccRCC = Clear cell renal cell carcinoma, miR-3133 = microRNA-3133, miRNAs = microRNAs, nccRCC = non-clear cell renal cell carcinoma, qRT-PCR = quantitative real-time polymerase chain reaction, RCC = renal cell carcinoma.

The authors have no conflicts of interest to disclose.

References

  • [1].Jemal A, Bray F, Center MM, et al. Global cancer statistics. CA Cancer J Clin 2011;61:69–90. [DOI] [PubMed] [Google Scholar]
  • [2].Xu KY, Wu S. Update on the treatment of metastatic clear cell and non-clear cell renal cell carcinoma. Biomarker Res 2015;3:5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [3].Siegel R, Naishadham D, Jemal A. Cancer statistics, 2012. CA Cancer J Clin 2012;62:10–29. [DOI] [PubMed] [Google Scholar]
  • [4].Zeng FC, Zeng MQ, Huang L, et al. Downregulation of VEGFA inhibits proliferation, promotes apoptosis, and suppresses migration and invasion of renal clear cell carcinoma. Onco Targets Ther 2016;9:2131–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [5].Bai Q, Liu L, Xi W, et al. Prognostic significance of ST6GalNAc-1 expression in patients with non-metastatic clear cell renal cell carcinoma. Oncotarget 2016;9:3112–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6].Jingushi K, Ueda Y, Kitae K, et al. miR-629 targets TRIM33 to promote TGFbeta/Smad signaling and metastatic phenotypes in ccRCC. Mol Cancer Res MCR 2015;13:565–74. [DOI] [PubMed] [Google Scholar]
  • [7].Park K, Lee JL, Park I, et al. Comparative efficacy of vascular endothelial growth factor (VEGF) tyrosine kinase inhibitor (TKI) and mammalian target of rapamycin (mTOR) inhibitor as second-line therapy in patients with metastatic renal cell carcinoma after the failure of first-line VEGF TKI. Med Oncol 2012;29:3291–7. [DOI] [PubMed] [Google Scholar]
  • [8].Liu H, Brannon AR, Reddy AR, et al. Identifying mRNA targets of microRNA dysregulated in cancer: with application to clear cell Renal Cell Carcinoma. BMC Syst Biol 2010;4:51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [9].Heinzelmann J, Henning B, Sanjmyatav J, et al. Specific miRNA signatures are associated with metastasis and poor prognosis in clear cell renal cell carcinoma. World J Urol 2011;29:367–73. [DOI] [PubMed] [Google Scholar]
  • [10].Fuessel S, Erdmann K, Taubert H, et al. Prognostic impact of urokinase-type plasminogen activator system components in clear cell renal cell carcinoma patients without distant metastasis. BMC Cancer 2014;14:974. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [11].Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 2004;116:281–97. [DOI] [PubMed] [Google Scholar]
  • [12].Croce CM, Calin GA. miRNAs, cancer, and stem cell division. Cell 2005;122:6–7. [DOI] [PubMed] [Google Scholar]
  • [13].Bou Kheir T, Futoma-Kazmierczak E, Jacobsen A, et al. miR-449 inhibits cell proliferation and is down-regulated in gastric cancer. Mol Cancer 2011;10:29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [14].Shah MY, Calin GA. MicroRNAs miR-221 and miR-222: a new level of regulation in aggressive breast cancer. Genome Med 2011;3:56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [15].Chan JA, Krichevsky AM, Kosik KS. MicroRNA-21 is an antiapoptotic factor in human glioblastoma cells. Cancer Res 2005;65:6029–33. [DOI] [PubMed] [Google Scholar]
  • [16].Petrovic N, Mandusic V, Stanojevic B, et al. The difference in miR-21 expression levels between invasive and non-invasive breast cancers emphasizes its role in breast cancer invasion. Med Oncol 2014;31:867. [DOI] [PubMed] [Google Scholar]
  • [17].Bo W, Hu Y, Feng X, et al. The tumor suppressor role of miR-4782-3p in hepatocellular carcinoma. Oncol Rep 2016;35:2107–12. [DOI] [PubMed] [Google Scholar]
  • [18].Sun J, Song K, Feng X, et al. MicroRNA-367 is a potential diagnostic biomarker for patients with esophageal squamous cell carcinoma. Biochem Biophys Res Commun 2016;473:363–9. [DOI] [PubMed] [Google Scholar]
  • [19].Liu J, Lu KH, Liu ZL, et al. MicroRNA-100 is a potential molecular marker of non-small cell lung cancer and functions as a tumor suppressor by targeting polo-like kinase 1. BMC Cancer 2012;12:519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [20].Zhao JJ, Chen PJ, Duan RQ, et al. miR-630 functions as a tumor oncogene in renal cell carcinoma. Arch Med Sci AMS 2016;12:473–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [21].Gao Y, Ma X, Yao Y, et al. miR-155 regulates the proliferation and invasion of clear cell renal cell carcinoma cells by targeting E2F2. Oncotarget 2016;7:20324–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [22].Li Y, Chen D, Su Z, et al. MicroRNA-106b functions as an oncogene in renal cell carcinoma by affecting cell proliferation, migration and apoptosis. Mol Med Rep 2016;13:1420–6. [DOI] [PubMed] [Google Scholar]
  • [23].Wang X, Li H, Cui L, et al. MicroRNA-182 suppresses clear cell renal cell carcinoma migration and invasion by targeting IGF1R. Neoplasma 2016;63:717–25. [DOI] [PubMed] [Google Scholar]
  • [24].Xiao H, Xiao W, Cao J, et al. miR-206 functions as a novel cell cycle regulator and tumor suppressor in clear-cell renal cell carcinoma. Cancer Lett 2016;374:107–16. [DOI] [PubMed] [Google Scholar]
  • [25].Wang K, Chen X, Zhan Y, et al. miR-335 inhibits the proliferation and invasion of clear cell renal cell carcinoma cells through direct suppression of BCL-W. Tumour Biol J Int Soc Oncodevelop Biol Med 2015;36:6875–82. [DOI] [PubMed] [Google Scholar]
  • [26].Georgakilas AG, Tsantoulis P, Kotsinas A, et al. Are common fragile sites merely structural domains or highly organized “functional” units susceptible to oncogenic stress. Cell Mol Life Sci CMLS 2014;71:4519–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [27].Ljungberg B, Campbell SC, Choi HY, et al. The epidemiology of renal cell carcinoma. Eur Urol 2011;60:615–21. [DOI] [PubMed] [Google Scholar]
  • [28].Su H, Sun T, Wang H, et al. Decreased TCL6 expression is associated with poor prognosis in patients with clear cell renal cell carcinoma. Oncotarget 2017;8:5789–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [29].Sellitti DF, Doi SQ. MicroRNAs in renal cell carcinoma. Microrna 2015;4:26–35. [DOI] [PubMed] [Google Scholar]
  • [30].Weber JA, Baxter DH, Zhang S, et al. The microRNA spectrum in 12 body fluids. Clin Chem 2010;56:1733–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [31].Lu ZM, Lin YF, Jiang L, et al. Micro-ribonucleic acid expression profiling and bioinformatic target gene analyses in laryngeal carcinoma. Onco Targets Ther 2014;7:525–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [32].Vergho D, Kneitz S, Rosenwald A, et al. Combination of expression levels of miR-21 and miR-126 is associated with cancer-specific survival in clear-cell renal cell carcinoma. BMC Cancer 2014;14:25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [33].Nofech-Mozes R, Khella HW, Scorilas A, et al. MicroRNA-194 is a marker for good prognosis in clear cell renal cell carcinoma. Cancer Med 2016;5:656–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [34].Khella HW, Scorilas A, Mozes R, et al. Low expression of miR-126 is a prognostic marker for metastatic clear cell renal cell carcinoma. Am J Pathol 2015;185:693–703. [DOI] [PubMed] [Google Scholar]

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