miR‑486 acts as an oncogene and potential prognostic biomarker in renal cell carcinoma
- Authors:
- Published online on: October 25, 2019 https://doi.org/10.3892/mmr.2019.10769
- Pages: 5208-5215
Abstract
Introduction
Renal cell carcinoma (RCC) is the most common solid lesion located within the kidney and represents ~90% of all renal malignancies (1). The prevalence of the classic triad of hematuria, flank pain and palpable abdominal mass in RCC patients is actually lower than 10%, even 6% (2). Therefore, approximately 20–30% of patients present with metastatic RCC at initial diagnosis, and the recurrence rate of post-surgical treatment cases is 20–30% (3). RCC is typically resistant to radiation therapy and chemotherapy, and therefore surgery remains the only curative treatment for RCC (1,4). Recently, much attention has shifted to targeted therapies for which either sunitinib or pazopanib is the standard first-line treatment for RCC (5). As the clinical effects of these therapies are not effective, it is crucial to develop more effective therapeutic strategies against RCC.
MicroRNAs (miRNAs, miRs) are a class of non-coding RNAs of 17–24 nucleotides, which mediate cell differentiation, proliferation, migration, apoptosis and invasion by targeting the 3′-untranslated region (UTR) of mRNA post-transcriptionally (6–8). Aberrant expression of several miRNAs has been implicated in the tumorigenesis of RCC, including as miR-21 (9), miR-23a (10), miR-566 (11) and miR-425-5p (12). Since its discovery in the human fetal liver (13), miR-486 has been reported in several malignancies, including esophageal cancer (14), non-small cell lung cancer (NSCLC) (15), colorectal cancer (CRC) (16) and osteosarcoma (17). However, miR-486 and its role in RCC remain largely unknown.
In the present study, miR-486 expression was evaluated in RCC tissues and RCC cell lines. The effects of miR-486 on kidney cancer cell proliferation, invasion and apoptosis were also investigated. Finally, the association between miR-486 expression and outcome in RCC patients was explored.
Materials and methods
Specimens
Samples including 47 paired RCC tissue samples and adjacent normal tissue samples (extracted at a distance of 5-cm from the RCC tissue) were obtained from the Department of Urology, Affiliated Hospital of Jiangnan University (Wuxi, China) from May 2013 to April 2015. These patients consisted of 29 males and 18 females, ranging in age from 21 to 73 years old. Immediately after resection, the specimens were maintained in RNAlater® (Qiagen, Inc.) and stored at −80°C until further use. All participants provided written informed consent, and the study was approved by the Ethics Committee of the Affiliated Hospital of Jiangnan University. Table I lists the clinicopathological features of the 47 patients enrolled in the study. In addition, 96 formalin-fixed paraffin-embedded (FFPE) RCC tissues were supplied by the Department of Pathology, Affiliated Hospital of Jiangnan University between February 2011 and January 2014. These patients consisted of 63 males and 33 females, ranging in age from 21 to 78 years old. Clinicopathological characteristics of the FFPE samples are presented in Table II. These are two different batches of specimens. Table I lists fresh tissue samples from 47 patients with renal carcinoma (including renal carcinoma and adjacent normal tissue). Table II documents the paraffin tissue samples from 96 patients with renal cancer.
Table II.Association between miR-486 expression levela and the clinical characteristics of the FFPE renal cancer samples (N=96). |
RNA extraction, cDNA synthesis and reverse transcription-quantitative PCR (RT-qPCR)
Total RNA was extracted by using TRIzol (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions, purified by using the RNeasy Maxi kit (Qiagen, Inc.) and quantified on a NanoDrop 2000c (Thermo Fisher Scientific, Inc.). cDNA was synthesized by reverse transcription according to the instructions of an miScript II RT kit (Qiagen, Inc.). The expression of miR-486 was detected using an miScript SYBR® Green PCR kit (Qiagen, Inc.) on the Roche Lightcycler® 480 Real-Time PCR System (Roche Diagnostics). The thermocycling steps were: 95°C for 15 min, followed by 40 cycles of 94°C for 15 sec, 55°C for 30 sec and 72°C for 30 sec. The primer sequences used were: miR-486-5p forward, 5′-ACACTCCAGCTGGGTCCTGTACTGAGCTGCCC-3′ and reverse, 5′-CTCAACTGGTGTCGTGGAGTCGGCAATTCAGTTGAGCCCCGAG-3′; U6 forward, 5′-CTCGCTTCGGCAGCACA-3′ and reverse, 5′-AACGCTTCACGAATTTGCGT-3′. U6 was regarded as the internal control in this study. Relative expression of miR-486 was analyzed by the 2−ΔΔCq method (18).
Cell culture and transfection
Immortalized normal human kidney cells (HK2) and RCC cell lines (ACHN, 786-O, Caki-1) were supplied by the Key Laboratory of Carbohydrate Chemistry and Biotechnology (Wuxi, China). Cell lines were cultured and maintained according to the instructions provided by the American Type Culture Collection. Cells were cultured in at 37°C in a 5% CO2 humidified incubator. ACHN and 786-O cells were transiently transfected with 100 pmol miR-486 mimic (forward, 5′-ACACUCCAGCUGGGUCCUGUACUGAGCUGCCC-3′ and reverse, 5′-GGCCACCGCCGAGCGGACUU-3′) or miR-negative control (NC; forward, 5′-UUCUCCGAACGUGUCACGUTT-3′ and reverse, 5′-ACGUGACACGUUCGGAGAATT-3′) using Lipofectamine 2000 (Invitrogen; Thermo Fisher Scientific, Inc.) and Opti-MEM® (Gibco; Thermo Fisher Scientific, Inc.) following the manufacturer's instructions. Following transfection, ACHN or 786-O cells were starved for 6 h before being transferred to DMEM (for ACHN cells) or RPMI-1640 (for 786-O cells; both Gibco; Thermo Fisher Scientific, Inc.) with 10% FBS (Gibco; Thermo Fisher Scientific, Inc.) and 1% glutamine (Gibco; Thermo Fisher Scientific, Inc.). Transfection efficiency was measured via RT-qPCR analysis. miR-486 mimic and NC were synthesized by Shanghai GenePharma Co., Ltd.
CCK-8 assay
Proliferation of ACHN and 786-O cells was assessed using a Cell Counting Kit-8 (CCK-8; Beyotime Institute of Biotechnology). Briefly, ~10,000 cells seeded in 96-well plates were transfected with miR-486 mimic or NC. CCK-8 (10 µl) was added into each well and incubation was carried out for 30 min. Absorbance was then assessed at 450 nm (with 620 nm as the reference wavelength) at 0, 24, 48 and 72 h on an ELISA microplate reader (Bio-Rad Laboratories, Inc.).
Transwell assays
Transwell inserts were used to assess migration and invasion of the ACHN and 786-O cells. For the migration assay, ~3×104 cells were seeded in a 24-well plate and transfected with miR-486 mimic or NC as described above. At 24 h later, ~3×104 cells were seeded into each upper Transwell chamber (BD Biosciences). A volume of 600 µl DMEM with 10% FBS and 1% glutamine was added to the bottom Transwell chamber. For the invasion assay, cells were seeded into a Matrigel-coated upper chamber of the Transwell inserts. After incubation for 48 h, the cells in the lower chamber were fixed in 0.1% paraformaldehyde and stained with 4% crystal violet (both for 25 min at room temperature), and observed by a light microscope at magnification, ×100.
Wound healing assay
Migration of the ACHN and 786-O cells was also determined by the wound healing assay. Cells (~105) were seeded in 6-well plates and after 24 h were respectively transfected according to the manufacturer's instructions. A sterile 1-ml pipette tip was used to scratch a vertical horizontal line. Serum-free medium was added after the cells were scratched for excluding cell proliferation. Images of the scratches at 0, 12 and 24 h were captured by a light microscope at magnification, ×100. The assay was repeated at least three times.
Flow cytometry
Apoptosis analysis of the ACHN and 786-O cells was carried out by flow cytometry. Cells (~105) were seeded in each well of a 6-well plate and transfected as described above. After 48 h, the cells were harvested and washed twice in cold PBS, resuspended in 100 µl 1X binding buffer with 5 µl Annexin V-FITC (Invitrogen; Thermo Fisher Scientific, Inc.) and 5 µl propidium iodide (PI, Invitrogen; Thermo Fisher Scientific, Inc.) and stained for 15 min at room temperature in a dark place. Thereafter, 400 µl of cold 1X binding buffer was added into each tube and apoptosis was assessed by flow cytometry (EPICS XL-4; Beckman Coulter, Inc.). FlowJo 7.6.1 (FlowJo LLC) was used to analyze the apoptotic rate.
Statistical analysis
All assays were repeated at least three times. All the statistical analyses were performed using SPSS 23.0 (IBM Corp.). Data are presented as the mean ± standard deviation (SD). Expression of miR-486 in clinical specimens and different cell lines was analyzed using paired t-tests and ANOVA followed by Dunnett's test, respectively. Student's t-test, Fisher's exact test or Pearson χ2 test were used to analyze the association between miR-486 expression and clinicopathological variables. The correlation between miR-486 expression and clinicopathological variables or survival was analyzed using Cox proportional hazard regression analysis. Kaplan-Meier curves were used to plot overall survival. A value of P<0.05 was considered to be indicative of a statistically significant result.
Results
miR-486 is upregulated in RCC tissues and RCC cell lines
RT-qPCR analysis revealed higher transcript abundance of miR-486 in RCC tissue samples when compared with that in the adjacent normal tissues (P<0.001; Fig. 1A). Similarly, relative expression of miR-486 in RCC cell lines was significantly higher than that noted in the normal HK2 cells (Fig. 1B).
miR-486 promotes cell proliferation
The CCK-8 assay was used to assess proliferation in vitro. Data showed that overexpression of miR-486 significantly increased the proliferation of the 786-O and ACHN cell lines compared with cells in the NC groups (Fig. 1C and D). The results indicated that miR-486 promotes cell proliferation.
miR-486 is a potential prognostic marker for RCC
The association between miR-486 expression and clinicopathological characteristics was analyzed in 96 FFPE renal cancer samples. As presented in Table II, there were no significant assocations between miR-486 expression and any clinical characteristics (P>0.05); however, it was revealed that the survival of patients with RCC was significantly associated with tumor stage (P<0.001) and miR-486 expression (P<0.05), but not gender, age or tumor size (Table III). Univariate and multivariate analyses showed that patients with low expression of miR-486 had a longer overall survival (OS; P<0.05). Similarly, Kaplan-Meier survival analysis showed that patients with low miR-486 expression had longer OS than those with high expression (P=0.008; Fig. 1E).
miR-486 promotes cell mobility
In vitro assessment of migration by wound healing and Transwell migration assays revealed that ectopic expression of miR-486 significantly increased migration of the 786-O and ACHN cells compared with that noted in the corresponding controls (Figs. 2 and 3). Overexpression of miR-486 resulted in increased invasiveness of 786-O (P<0.01) and ACHN (P<0.01) cells when compared with the NC group. These results indicated that miR-486 promotes cell mobility.
miR-486 inhibits cell apoptosis
Flow cytometry was used to detect apoptosis in vitro. In the present study, early apoptosis (the Q3 region) was regarded as an indicator of apoptosis and was used to calculate the apoptotic rate. As shown in Fig. 4, the apoptotic rate of 786-O (Fig. 4C) cells in the group transfected with miR-486 mimic was significantly decreased compared with the NC group (5.377±0.950 vs. 14.406±1.000%; P<0.05), as was the apoptotic rate of ACHN (Fig. 4D) cells in the group transfected with miR-486 mimic compared with the NC (7.403±0.637 vs. 15.633±1.365%; P<0.05). Thus, the results indicated that overexpression of miR-486 decreased the apoptosis rate in 786-O and ACHN cells.
Discussion
Renal cell carcinoma (RCC) is a common malignant tumor and accounts for 3–5% of all malignant diseases (19). Due to its late diagnosis and insensitivity to radiotherapy and chemotherapy, the prognosis of RCC is extremely poor (4). Although studies have identified many of the genetic and epigenetic changes associated with tumorigenesis of RCC, the complete understanding of the molecular mechanisms of RCC pathogenesis is still unclear. Playing an important role in tumorigenesis, miRNAs suppress gene expression by binding to the 3′-UTR of target mRNAs (20) and as a result can modulate various cellular processes including cell viability (21), proliferation (10), migration (12), invasion (22), apoptosis (23), epithelial-mesenchymal transition (EMT) (24) and self-renewal of tumor stem cells (25).
Studies have demonstrated miR-486 as a driver of various types of cancer. Zhang et al (16), found that miR-486-5p inhibited the migration and invasion of colorectal cancer (CRC) cells by binding to PIK3R1. As a tumor suppressor, miR-486 suppressed cell invasion and EMT by targeting PIM in osteosarcoma (26) and mitigated prostate cancer metastasis by targeting Snail and regulating EMT (27). However, there are few reports concerning the oncogenic functions of miR-486. One such study by Gao et al (15), reported the oncogenic ability of miR-486-5p in the progression of non-small cell lung cancer (NSCLC) by targeting the tumor-suppressor PTEN. In contrast, Shao et al (28) reported that miR-486-5p functions as a tumor suppressor in NSCLC by directly targeting the oncogene CDK1. This disparity in findings warrants further investigation on the function of miR-486 in NSCLC.
In the present study, it was demonstrated that miR-486 is upregulated in RCC tissues and cell lines by RT-qPCR, which is in line with the findings of Goto et al (29). Moreover, ectopic expression of miR-486 promoted proliferation, migration, and invasion and suppressed apoptosis of the ACHN and 786-O cells.
Accumulating evidence suggests that miR-486 can be an ideal prognostic and diagnostic biomarker in various types of cancer. Jiang et al (30) revealed that low miR-486-3p and miR-103a-3p expression was respectively correlated with shorter overall survival (OS) of patients with muscle-invasive bladder cancer (MIBC). Similarly, Ren et al (31) revealed that low or unchanged miR-486-5p predicted poor prognosis in patients with esophageal squamous cell carcinoma and gastric cancer, which was contrary to our finding that elevated miR-486 indicated a remarkably shorter OS in RCC patients, which also suggested its potential as a prognostic marker for RCC. Li et al (32), found that serum miR-486-5p serves as a diagnostic biomarker for cervical cancer with an AUC=0.90. It was reported that compared to traditional urine cytology, the four-miRNA signature (miR-422a-3p, miR-486-3p, miR-103a-3p and miR-27a-3p) displayed higher accuracy in predicting MIBC (30). Furthermore, miR-486 proved to be a potential blood-based biomarker for early diagnosis and recurrence of NSCLC (33).
However, there are several limitations to our study. Firstly, to better verify our conclusion, we must complete functional experiments to determine how an miR-486 inhibitor regulates RCC cell proliferation and migration. Secondly, in the present study, miR-486 expression was found to be associated with patient survival; however, miR-486 expression was not associated with tumor stage. This may be due to the lack of tumor specimens of T3 and T4, especially T4. Further investigation of the relationship between miR-486 and renal cancer tumor staging using a higher number of T3 and T4 tumor samples will be carried out.
In conclusion, it was demonstrated that miR-486 was upregulated in RCC tissues and cell lines, and overexpression of miR-486 was associated with a poor prognosis of RCC patients. In the present study, miR-486 acted as an oncogene and promoted proliferation, migration, invasion and suppressed apoptosis. With a better understanding of its function, miR-486 may emerge as a potential prognostic marker and therapeutic target in the treatment of RCC.
Acknowledgements
Not applicable.
Funding
No funding was received.
Availability of data and materials
The analyzed datasets generated during the present study are available from the corresponding author on reasonable request.
Authors' contributions
ChS and CaS carried out the molecular genetic studies and drafted the manuscript. JS and YZ participated in the design of the study. GY and GL performed the statistical analysis. CX and XD participated in the research design and coordination, and helped to draft the manuscript. All authors read and approved the final manuscript and agree to be accountable for all aspects of the research in ensuring that the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Ethics approval and consent to participate
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. All participants provided written informed consent, and the study was approved by the Ethics Committee of the Affiliated Hospital of Jiangnan University (Wuxi, China).
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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