Background
MiRNAs (miRNAs) are small non-coding RNAs that function as post-translational regulators of gene expression [
1]. In recent years, increasing studies have been focused on the roles of miRNAs in regulating every biological event in normal cells, as well as in cancer cells [
2,
3]. Notably, an individual miRNA can have hundreds of targets, while a single target gene may be regulated by many different miRNAs. Evidently, the dysregulation of miRNAs has been found in cancers, and thus the expression profiling of miRNA levels has already been used as diagnostic and prognostic biomarkers to assess tumor development [
4]. Moreover, the previous studies demonstrated the roles of various miRNAs in different types of cancers, such as breast, colon, gastric, lung, and prostate [
5‐
7]. Even more importantly, one type of miRNA might also participate in different cancers. For instance, the accumulating studies showed that the dysregulation of miR-199a is found in various cancers, including hepatocellular carcinoma [
8], ovarian cancer [
9], renal cell carcinoma [
10], osteosarcoma [
11] and etc. [
12,
13]. All these studies demonstrated the complicated networks on miRNA-regulated cancer biogenesis.
Esophageal cancer (EC) is the eighth most commonly occurred cancer worldwide. It has proven to be one of the most difficult malignancies to cure [
14,
15]. To date, the chemotherapy or chemoradiotherapy are still the preferred methods for clinical therapy of EC at more advanced stages. However, the chemoresistance and radioresistance are the major obstacles for the effective therapy. Moreover, there is still limited knowledge on the underlying mechanism that governs the chemoresistance and radioresistance of EC. To address this issue, we try to identify new miRNA biomarker that relates to the radioresistance of EC. In our previous studies, we have found that several miRNAs are involved the drug resistance of osteosarcoma by targeting different genes [
16‐
19]. However, whether these miRNAs are involved in the EC radioresistance is still unknown. In this study, using a systematic analysis and profiling methods, we identified that Kyse30-R and Kyse150-R cells are the radioresistant cells of EC. Further investigations in EC cells found that the miR-199a-3p targets AK4, which was reported to be involved in stress, drug resistance, malignant transformation in cancer [
20‐
22]. Taken together, our findings provide a new mechanistic insight into EC radioresistance, which might give us hints for a rational design of the clinical therapy against EC.
Methods
Cells and culture
The human esophageal cancer Cells lines Kyse30 and Kyse150 were kindly provided by Professor Zhan (National Laboratory of Molecular Oncology, China, Beijing) [
23,
24], Kyse30-R and Kyse150-R were obtained from their parental strains of Kyse30 and Kyse150, respectively. Four cells were cultured and maintained in RPMI medium 1640 (Biological Industries) supplemented with 10% fetal bovine serum (PAN Biotech), 100 U/ml penicillin, and 100 mg/ml streptomycin (WISENT INC) in humidified air at 37 °C with 5% CO
2.
Transient transfection assays
The Homo sapien miR–199a-3p mimic, antagomiR and scrambled negative control (NC) were obtained from Guangzhou Ribobio, China. All the transfection experiments were performed using riboFECT CP transfection kit were supplied by Guangzhou Ribobio, China. Western blot and qRT–PCR assays were performed to confirm the effect of AK4 on the expression of miR–199a-3p. The sequences used in this study are as follows:
si-AK4:
GCCTAATGATGTCCGAGTT
5′-GCCUAAUGAUGUCCGAGUU dTdT-3′
3′-dTdT CGGAUUACUACAGGCUCAA-5′
Reverse transcription-quantitative polymerase chain reaction (qRT-PCR) assays
Total RNA was extracted from cells using TRIzol reagent (Tiangen) according to the manufacturer’s instructions. The reverse-transcription and PCR primers for miR-199a-3p and U6 were purchased from GenePharma. The cDNA library was synthesized using the PrimeScript RT reagent kit (Tiangen). The mRNA expression level of AK4 using TaqMan assay and the miRNA using SYBR Green assay (Biosystems) were quantified in an FTC-3000PCR instrument (Funglyn). Either U6 small nuclear RNA (HmiRQP9001) or β-actin (ShingGene) were used as an internal control. Expression levels were calculated using the relative quantification method (2−∆∆Ct). Each test was repeated in triplicate. The sequences of the primers and probes used for the qRT-PCR analysis are:
hAK4 F: 5′-CACTTCTTGCGGGAGAACATC-3′
hAK4 R: 5′-CCAACTCGGACATCATTAGGC-3′
hAK4 probe: 5′-FAM-CAGCACCGAAGTTGGTGAGATGGC-3′
hACTB F: 5′-GCCCATCTACGAGGGGTATG-3′
hACTB R: 5′-GAGGTAGTCAGTCAGGTCCCG-3′
hACTB probe: 5′CY5-CCCCCATGCCATCCTGCGTC-3′
Radiation exposure and clonogenic assays
All cells were pretreated by NC, miR-199a-3p mimics, antagomiRs and si-AK4 for 24 h, then were digested and counted according to 0 Gy (500), 2 Gy (1000), 4 Gy (2000), 6 Gy (5000), 8 Gy (8000) cells/well and was inoculated in a 6-well plate in triplicate, the corresponding dose was irradiated after 24 h, using a 6-MV X-ray generated by a linear accelerator (varian trilogy at a dose rate of 2 Gy/min) and the culture was continued for 15 days, then washed and fixed with 10% formaldehyde, and giemsa stained. The number of cloned spheres with > 50 cells was counted, and the number of cells inoculated with 50–200 cloned spheres was selected as the appropriate number of colonies for colony formation experiments. The overall experiment was repeated 3 times and the mean was taken. Calculate the cell clone formation rate (planting efficiency, PE = number of cloned cells/number of cells inoculated × 100%) and cell survival fraction (SF = each dose of PE/non-irradiated PE × 100%), using the multi-target click model of GraphPad Prism 6 software (GraphPad), The cell dose survival curve was fitted according to the formula SF = 1 × (1 − e − D/D0)N, and the radiosensitivity parameters (D0, N, Dq and SF2).
Wound-healing assays
For cell motility assays, cells were grown to near confluence in 24-well plates in full-growth medium and were then incubated overnight in serum-free medium. Cells were scratched with a 10 μl sterile pipette tip and extensively washed with PBS to remove cells debris. Cells were then incubated in medium containing 10% FBS. The wounded areas were photographed and measured after scratching 0, 8, 12, 16, 20, 24, using a CKX41 inverted microscope (Olympus).
Invasion assays
Invasion assays were conducted in a 24-well plate with 8 μm pore size membranes Matrigel-coated Transwell chambers (Corning). 3 × 104 cells were seeded into the upper chambers in 200 μl serum-free RPMI-1640, while 600 μl RPMI-1640 supplemented with 10% fetal bovine serum was placed in the lower chamber. After incubation for 36 h at 37 °C and 5% CO2, the invasion potential of the cells that moved to the lower surface invading 8 μm pore size membranes with Matrigel were fixed with 70% ethanol and stained with 0.1% crystal violet for 30 min. The cells were then imaged and counted in five random fields using a CKX41 inverted microscope (Olympus). Each test was repeated in triplicate.
Cell proliferation assay
The capacity for cellular proliferation was measured by CCK8-based cell proliferation assay. Cells were seeded in 96-well plates at a density of 5 × 103 cells per well, and cell proliferation assays were performed every 24 h using CCK8. The number of viable cells was measured by their absorbance at 450 nm at the indicated time points.
Drug resistance profiling
For cell proliferation assay, cells in the logarithmic phase of growth were seeded in triplicate in 96-well plates at a density of 4 × 103 cells/well and treated with 4-fold serially diluted drugs for 72 h. Then, 10 μl of CCK8 salt (Bimake) was added to the corresponding well, the cells were incubated at 37 °C for an additional 2 h. The optical density was determined with a microplate reader (TECAN) at a wavelength of 450 nm.
Western blotting assays
Cells protein lysates were separated by 10% SDS-poly acrylamide gel electrophoresis (SDS-PAGE), transferred to 0.45 μm PVDF Transfer Membranes (Immobilon®-P). Next, the PVDF membrane was blocked with 5% non-fat dairy milk in phosphate-buffered saline (PBS) with 0.1% Tween-20. The first antibodies were then detected by second antibodies, which could recognize them conjugated to enzyme horseradish peroxidase. The information of antibodies were as follows: anti-rabbit (San Ying Biotechnology, China), anti-mouse (SanYing Biotechnology, China), anti-GAPDH (San Ying Biotechnology, China), the rabbit polyclonal antibody of AK4 was bought from Proteintech (AP20571a), the concentration was 45 μg/150 μl. The target bands were visualized by an enhanced chemiluminescence reaction (Pierce), and the relative band intensity was determined by the Gel-Pro Analyzer 4.0 software (Media Cybernetics).
Luciferase reporter assays
The AK4 wild-type (WT) 3′UTRs, which contain the putative miR-199a-3p binding site, were cloned into the pEZX-MT01-luciferase-report vector (GeneCopoeia™). For the luciferase reporter assay, Kyse30 and Kyse30-R cells were co-transfected with a luciferase reporter vector and negative control, the miR-199a-3p mimic or antagomiR. After 24 h transfection, the cells were assayed for luciferase activity using the Dual-Luciferase Reporter Assay System (Promega) in a Promega GloMax 20/20 luminometer, according to the manufacturer’s instructions. The relative firefly luciferase activities of the 3′UTR and pathway reporter vector were analyzed as previously reported [
25]. All experiments were repeated in triplicate.
Signaling pathway analysis
Constructs for the reporters of seventeen signaling pathways were obtained from SABiosciences (USA) and analyzed according to the manufacturer’s instructions. The cells were transfected in triplicate with each firefly luciferase reporter construct in combination with the Renilla luciferase-based control construct using transfection reagent, and both the luciferase activities were measured in the cell extracts 48 h after transfection. The luciferase activities (luciferase unit) of the pathway reporter relative to those of the negative control in the transfected cells were calculated as a measurement of the pathway activity.
Statistical analyses
The data are presented as the mean ± standard deviation. All statistical analyses were conducted by Excel and GraphPad Prism 6. Statistical significance was assessed by a two-tailed unpaired Student’s t-test, a one-way analysis of variance or Mann–Whitney U test. Results were considered to be statistically significant at p < 0.05.
Discussion
MiRNAs play vital roles in various biological processes such as proliferation, apoptosis and differentiation, via regulating gene expression at post-modification level [
28]. Accumulating evidences have suggested that miR-199a-3p is involved in cancer biology [
29,
30]. Moreover, miR-199a showed distinct expression profiles in several types of cancer [
31,
32]. For instance, miR-199a-3p is downregulated in hepatocellular carcinoma, resulting in an increased sensitivity to doxorubicin-induced apoptosis [
33]. Down-regulation of miR-199a-3p in cisplatin-resistant breast cancer is able to attenuate cisplatin resistance via regulating the mitochondrial transcription factor A [
34]. All these studies indicated that miR-199a-3p may be involved in cancer chemotherapy resistance. In accordance with previous findings, here we showed that miR-199a-3p also involves in EC radioresistance. The results described here increased the knowledge of miR-199a-3p on radioresistance of cancer cells. The multi-functional roles of miR-199a-3p in different types of cancers also indicate miR-199a-3p has a potential to be a biomarker for cancer therapy.
We found that the AK4 gene is a target of miR-199a-3p that positively correlates with the EC radioresistance. AK4 was reported to be involved in the development of cancers, and is used as a potential therapeutic target for anticancer treatment. For example, the AK4 expression level could modulate the anti-cancer drug sensitivity through regulating mitochondrial activity [
26]. Of note, a previous study found that AK4 promotes the metastasis of lung cancers by down-regulating the transcription factor ATF3 [
21]. In agreement with the previous findings, here we demonstrated that the expression level of AK4 is associated with the EC radioresistance, which might be regulated by miR-199a-3p. However, the fine mechanism for the miR-199a-3p/AK4-mediated EC radioresistance remains to be elucidated.
Authors’ contributions
Conception and design: YGP and CBZ. Acquisition of data (provided animals, provided facilities, etc.): FFZ and LH. Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): YGP and FFZ. Writing, review, and/or revision of the manuscript: YGP and CBZ. All authors read and approved the final manuscript.