MicroRNA‑513a‑3p regulates colorectal cancer cell metabolism via targeting hexokinase 2

  • Authors:
    • Chen Li
    • Zhijin Yu
    • Jinpeng Ye
  • View Affiliations

  • Published online on: May 7, 2020     https://doi.org/10.3892/etm.2020.8727
  • Pages: 572-580
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Abstract

Disruption of cell metabolism is a hallmark of cancer cells. Accumulating evidence suggests that microRNAs (miRNAs/miRs) are involved in almost all physiological and pathological processes. The aberrant expression of miRNAs induces metabolic reprogramming in cancer cells and thus, promotes proliferation. In the current study, miR‑513a‑3p was identified as a significantly downregulated miRNA in colorectal cancer cells and tumors. Overexpression of miR‑513a‑3p in colorectal cancer cells inhibited proliferation and glycolysis. A well‑documented metabolic regulator, hexokinase 2 (HK2), was predicted and validated HK2to be a target gene of miR‑513a‑3p in colorectal cancer cells. In addition, overexpression of HK2 reversed the miR‑513a‑3p mimic‑induced inhibition of proliferation. The association between HK2 and miR‑513a‑3p was further observed in tumors collected from patients with colorectal cancer. The findings suggest that miR‑513a‑5p may inhibit glycolysis in colorectal cancer cells via repressing HK2 expression, indicating that miR‑513a‑5p may be a tumor suppressor in colorectal cancer.

Introduction

Colorectal cancer is a common type of cancer worldwide; according to global cancer statistics, the number of new cases of cancer originating from the colon and rectum reached ~1,800,000 in 2018(1). Despite advances in our understanding of the molecular mechanism and the development of new therapeutic methods, the prognosis of patients with colorectal cancer remains poor, as the five-year overall survival is near 60% (2). This is due to the aggressive nature of colorectal cancer cells (3,4). To overcome obstacles in the treatment of colorectal cancer, recent studies have shifted their focus to the metabolism of tumor cells that are pivotal for the survival and development of drug resistance of colorectal cancer cells (5-7).

Cancer cells exhibit a strong requirement for energy to sustain rapid proliferation and cell division (8). Unlike normal cells, most cancer cells predominantly obtain energy via a high rate of glycolysis even in aerobic conditions (9,10). During the pathogenesis of cancer, reprogramming of metabolism leads to increased glucose consumption and lactic acid fermentation, known as Warburg effect (9). Hexokinase 2 (HK2) is a member of the HK family of enzymes that converts glucose to glucose-6-phosphate in cells (11). Elevation of HK2 activity is commonly observed in cancer cells exhibiting Warburg glycolysis (12). Glycolysis is also required for colorectal cancer cells to activate signaling pathways and maintain cell growth (13). In colorectal cancer, studies found that HK2 was upregulated in colorectal cancer cells, and its expression was associated with worse overall survival of patients with colorectal cancer (14). Most recently, targeted therapy against HK2 has shown beneficial effects on inhibiting the proliferation of colorectal cancer cells (15).

MicroRNAs (miRNAs/miRs) are small non-coding single-stranded molecules in cells (16). Mechanistically, miRNAs directly bind to the 3'untranslated region (3'UTR) region in the mRNA of genes, which leads to degradation of mRNA or inhibition of translation (17). Through the tight control of target gene expression, miRNAs are involved in almost all physiological processes (18). Dysregulation of miRNAs is associated with various types of cancer (19). Several differentially expressed miRNAs have been identified in colorectal cancer (20,21). miRNAs such as miR-16, miR-17 and miR-181a have been experimentally proven to act as oncogenes or tumor suppressors in colorectal cancer cells (22-24). miR-1, miR-133b, miR-124, miR-137 and miR-340 have been identified as tumor suppressors via repressing the cellular metabolism of colorectal cancer (6,25).

In the current study, the expression of miR-513a-3p in colorectal cancer cells and tissues was investigated. Our data suggested that miR-513a-5p inhibited glycolysis in colorectal cancer cells via repressing HK2, indicating miR-513a-5p as a tumor suppressor in colorectal cancer.

Materials and methods

Tissue collection

A total of 30 colorectal tumors and matched normal tissues were collected from patients during surgery in the People's Hospital of Boluo County (Huizhou, China) between February 2015 and May 2017. All participants did not receive chemotherapy or radiotherapy before surgery. Written informed consent was provided by all patients, and the protocol of current study was approved by the Ethics committee of the People's Hospital of Boluo County. The samples were immediately stored in -80˚C before being subjected to RNA extraction.

Cell culture

A normal colonic mucosal cell line, FHC, and colorectal cancer cell lines, HCT116 and SW480, were purchased from ATCC. Cells were cultured in DMEM medium (Invitrogen; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS (Gibco; Thermo Fisher Scientific, Inc.) in an incubator at 37˚C with 5% CO2.

RNA isolation and RT-qPCR

Total RNA was extracted from tissues and cells with TRIzol reagent (Invitrogen; Thermo Fisher Scientific, Inc.) following manufacturer's protocol. The quantity and quality of RNA was determined using a NanoDrop 2000 (Thermo Fisher Scientific, Inc.). RNA was then reverse transcribed into first-stranded cDNA with PrimeScript RT Reagent kit (Takara Bio, Inc.). qPCR was performed on a Real-time PCR system (Applied Biosystems; Thermo Fisher Scientific, Inc.) with a SYBR Green PCR kit (Takara Bio, Inc.) following the manufacturer's protocol (26). The quantification of miRNA was performed with the stem-loop RT-PCR as reported before (27). The RT-qPCR condition was: predenature at 95˚C for 30 sec, followed by 35 cycles of denature at 95˚C for 10 sec and elongation at 55˚C for 20 sec. β-actin and U6 were used as internal controls for mRNA and miRNA, respectively. The primer sequences were as follows: β-actin forward, 5'-CATGTACGTTGCTATCCAGGC-3' and reverse, 5'-CTCCTTAATGTCACGCACGAT-3'; HK2 forward, 5'-GAGCCACCACTCACCCTACT-3' and reverse, 5'-CCAGGCATTCGGCAATGTG-3'; enolase 2 (ENO2) forward, 5'-AGCCTCTACGGGCATCTATGA-3' and reverse, 5'-TTCTCAGTCCCATCCAACTCC-3'; phosphoglycerate kinase 1 (PGK1) forward, 5'-TGGACGTTAAAGGGAAGCGG-3' and reverse, 5'-GCTCATAAGGACTACCGACTTGG-3'; phosphofructokinase platelet (PFKP) forward, 5'-GCATGGGTATCTACGTGGGG-3' and reverse, 5'-CTCTGCGATGTTTGAGCCTC-3'; hexokinase 1 (HK1) forward, 5'-GCTCTCCGATGAAACTCTCATAG-3' and reverse, 5'-GGACCTTACGAATGTTGGCAA-3'; aldolase A (ALDOA) forward, 5'-ATGCCCTACCAATATCCAGCA-3' and reverse, 5'-GCTCCCAGTGGACTCATCTG-3'; miR-513a-3p forward, 5'-GCCGAGTTTTAATTTATATT-3' and reverse, 5'-CTCAACTGGTGTCGTGGA-3'; and U6 forward, 5'-GCGCGTCGTGAAGCGTTC-3' and reverse, 5'-GTGCAGGGTCCGAGGT-3'. The sequence for the stem-loop primer was 5'-CTCAACTGGTGTCGTGGAGTCGGCAATTCAGTTGAGAAAATT-3'.

Protein isolation and western blotting

Total protein was extracted from cells using RIPA lysis buffer (Thermo Fisher Scientific, Inc.) according to the manufacturer's guidelines. After preparation of lysates, the concentration was determined with a bicinchoninic acid kit (Pierce; Thermo Fisher Scientific, Inc.). A total of 20 µg of each sample was electrophoresed on an 8% gel using SDS-PAGE, and proteins were transferred to a PVDF membrane. The membrane was incubated in primary antibodies and secondary antibodies for 1 h at room temperature sequentially. The blots were detected and visualized by a chemiluminescence detection system (Pierce; Thermo Fisher Scientific, Inc.). Primary antibodies against HK2 (1:2,000; cat. no. ab228819) and β-actin (1:10,000; cat. no. ab8226,) were purchased from Abcam. HRP-conjugated secondary antibodies against mouse (1:50,000; cat. no. SA00001-1) and rabbit (1:50,000; cat. no. SA00001-2) were obtained from ProteinTech Group, Inc.

Overexpression of miR-513a-3p

The miR-513a-3p mimic (5'-UAAAUUUCACCUUUCUGAGAAGG-3') and negative control (miR-NC) mimic (5'-AUUGGAACGAUACAGAGAAGAUU-3') were synthesized and purchased from Shanghai GenePharma Co., Ltd. 1x106 HCT116 or SW480 cells were transfected with 50 nM miR-513a-3p mimic or miR-NC mimic using Lipofectamine 3000 (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. At 48 h after transfection, cells were harvested for subsequent experiments.

Overexpression of HK2

Overexpression of HK2 was achieved via transfection of the pcDNA3 plasmid containing full length cDNA of HK2. The cDNA of HCT116 was prepared as aforementioned. The full length of HK2 was amplified from HCT116 cDNA and ligated into the pcDNA3 plasmid (Addgene, Inc.). The primer sequences were: HK2-forward: 5'-AAGCTTATGATTGCCTCGCA-3'; HK2-reverse: 5'- TCTAGACTATCGCTGTC-3'. A total of 2 µg pcDNA3-HK2 or pcDNA3 was co-transfected with 50 nM miR-NC mimic or miR-513a-3p mimic into 1X106 HCT116 or SW480 cells with Lipofectamine 3000. After 48 h, cells were subjected to subsequent experiments.

Determination of cell proliferation

The proliferation ability of cells was detected with a Cell Counting Kit-8 (CCK-8) assay (Dojindo Molecular Technologies, Inc.) according to the manufacturer's protocol. In brief, 10,000 cells were plated into each well of 96-well plates. At the timepoints of 0, 24, 48 and 72 h after transfection, 10 µl CCK-8 solution was added to the wells and incubated for 2 h at 37˚C. The medium containing CCK-8 solution was then transferred to another 96-well plate. The absorbance at 450 nm was detected, and was considered to reflect cell number.

Colorimetric assay of glucose uptake

The glucose uptake ability of HCT116 and SW480 cells was determined with a Glucose Uptake Colorimetric Assay kit (BioVision, Inc.) following manufacturers' protocol. A total of 2,000 cells were plated in each well of 96-well plates. Cells were transfected with miR-NC mimic or miR-513a-3p mimic, as aforementioned. After 24 h, the cells were starved for glucose by preincubating with 100 µl Krebs-Ringer-Phosphate-HEPES buffer containing 2% BSA for 40 min at 37˚C. Next, 10 µl 10 mM 2-deoxy-D-glucose was added and the cells were incubated for 20 min. The absorbance at 412 nm was detected every 5 mins until the 100 pM standard reached 1.5.

Detection of lactate levels

The lactate levels in the culture medium were detected using a Lactate Colorimetric/Fluorometric Assay kit (BioVision, Inc.) following the manufacturer's protocol. A total of 2,000 cells were seeded in each well of 96-well plates and transfected with miR-513a-3p mimic or miR-NC mimic. After 48 h, lactate assay buffer was added to each well, and after incubation for 30 mins, absorbance at 570 nm was detected and was considered to reflect lactate levels.

Bioinformatic analysis and dual luciferase reporter assay

Using GEO database (https://www.ncbi.nlm.nih.gov/gds/), the differentially expression miRNA in colon adenoma, colon carcinoma and normal tissues were analyzed based on GSE115513 (including expression profile of 381 normal tissues, 51 colon adenoma and 411 colon carcinoma). The potential target genes and putative binding sites for miR-513a-3p were analyzed with TargetScan software (www.targetscan.org/vert_72/). The 3'UTR containing the putative binding sites for miR-513-3p was cloned using HCT116 cDNA and ligated into the pGL3 plasmid (Promega Corporation). The primer sequence: HK2-forward: 5'-CTCTAGAAACCCCTGAAATCG-3'; HK2-reverse: 5'-CTCTAGATTTGATTATTTTGGA-3'. A total of 1x105 cells were seeded into each well in 24-well plates. Cells were transfected with 2 µg pGL3-HK2-3'UTR-WT or pGL3-HK2-3'UTR-Mut and miR-513a-3p mimic or miR-NC mimic using Lipofectamine 3000. At 24 h after transfection, the relative luciferase activity was detected using a Dual Luciferase Reporter Assay system (Promega Corporation).

Statistical analysis

All data were calculated with GraphPad Prism 6 (GraphPad Software, Inc.) and presented as mean ± SD. Differences between two groups were analyzed using a two-tailed Student's t-test. Differences between multiple groups were assessed using one-way ANOVA followed by the Dunnett's post hoc test. Pearson's correlation analysis was used to analyze the correlation between miR-513a-3p expression and HK2 mRNA expression levels. Each experiment was repeated at least 3 times. P<0.05 was considered to indicate a statistically significant difference.

Results

Downregulation of miR-513a-3p in colorectal cancer

miRNA expression data of colorectal cancer was retrieved from published datasets. miR-513a-3p was found to be significantly downregulated in colon adenoma and colon carcinoma compared with normal colon tissues (Fig. 1A). For validation, 30 pairs of tumor and normal tissues were collected from patients with colorectal cancer. RT-qPCR results suggested that miR-513a-3p was downregulated in colorectal tumors (Fig. 1B). In addition, miR-513a-3p levels were also lower in the colorectal cancer cell lines HCT116 and SW480 compared with the normal colonic mucosal cell line, FHC (Fig. 1C).

Overexpression of miR-513a-3p suppresses colorectal cancer cell proliferation and metabolism

To investigate the role of miR-513a-3p in colorectal cancer cells, miR-513a-3p mimic was transfected into HCT116 and SW480 cells. Transfection of miR-513a-3p mimic induced a 10-fold increase in the expression of miR-513a-3p in HCT116 cells (Fig. 2A). Similarly, miR-513a-3p expression also increased in SW480 cells after transfection with miR-513a-3p mimic (Fig. 2B). The proliferation of colorectal cancer cells was detected with a CCK-8 kit. It was found that miR-513a-3p overexpression significantly reduced proliferation of HCT116 cells (Fig. 2C). In SW480 cells, overexpression of miR-513a-3p also inhibited proliferation (Fig. 2D). Increased proliferation of colorectal cancer cells is associated with aberrant cell metabolism, including an abnormally high rate of glycolysis. miR-513a-3p overexpression significantly reduced the glucose uptake rate in HCT116 and SW480 cells (Fig. 3A and B). Additionally, lactate levels in the supernatant of cultured cells were significantly decreased after miR-513a-3p overexpression (Fig. 3C and D). These results suggested that miR-513a-3p negatively regulated the glycolytic process of colorectal cancer cells to inhibit proliferation.

miR-513a-3p inhibits HK2 expression in colorectal cancer cells

To investigate how miR-513a-3p regulates glycolysis in colorectal cancer cells, RT-qPCR was performed to detect the expression of multiple key genes involved in glycolysis, including ENO2, PGK1, PFKP, HK1, ALDOA and HK2 (28,29). The results showed that mRNA expression of HK2 was significantly reduced while the expression of ENO2, PGK1, PFKP, HK1 and ALDOA was not changed in HCT116 cells transfected with miR-513a-3p mimic (Fig. 4A). In SW480 cells, the decrease of HK2 mRNA expression was also observed following miR-513a-3p overexpression (Fig. 4B). Additionally, western blotting showed that miR-513a-3p overexpression decreased HK2 protein expression in both HCT116 and SW480 cells (Fig. 4C and D).

miR-513a-3p directly represses HK2 expression

To explore whether miR-513a-3p directly regulated HK2 expression, bioinformatic analysis was performed. It was found that there was a putative binding site for miR-513a-3p in the 3'UTR of HK2 mRNA (Fig. 5A). A luciferase reporter plasmid containing wild-type (HK2 3'UTR-WT) or mutant (HK2 3'UTR-Mut) 3'UTR of the HK2 mRNA was constructed (Fig. 5A). The dual luciferase reporter assay showed that miR-513a-3p overexpression reduced relative luciferase activity in HCT116 cells transfected with HK2 3'UTR-WT, but not in cells transfected with HK2 3'UTR-Mut (Fig. 5B). The results in HCT116 cells were consistent with results in SW480 cells, as the miR-513a-3p mimic also reduced relative luciferase activity in SW480 cells transfected with HK2 3'UTR-WT only (Fig. 5C). These results indicated that miR-513a-3p directly bound to HK2 mRNA to repress its expression in colorectal cancer cells.

miR-513a-3p inhibits proliferation and glycolysis of colorectal cancer cells via targeting HK2

A plasmid containing the HK2 cDNA sequence was constructed. Transfection of pcDNA3-HK2 upregulated HK2 protein expression in HCT116 and SW480 cells (Fig. 6A and B). A proliferation assay revealed that overexpression of HK2 reversed the reduction of proliferation induced by miR-513a-3p mimic in HCT116 and SW480 cells (Fig. 6C and D). Additionally, the decrease of glucose uptake induced by miR-513a-3p mimic was also reversed after HK2 overexpression in HCT116 and SW480 cells (Fig. 6E and F). The lactate levels recovered after HK2 overexpression in HCT116 and SW480 cells treated with miR-513a-3p mimic (Fig. 6G and H).

Expression of miR-513a-3p is negatively correlated with HK2 mRNA expression in colorectal tumors and normal tissues

To examine the clinical association between miR-513a-3p and HK2, HK2 mRNA expression was detected in colorectal tumors and normal tissues. HK2 mRNA levels were significantly upregulated in colorectal tumors compared with normal tissues (Fig. 7A). Pearson correlation analysis suggested that miR-513a-3p levels were negatively correlated with HK2 mRNA expression in tumors and normal tissues from patients with colorectal cancer (Fig. 7B).

Discussion

Numerous studies have demonstrated that miRNAs are pivotal for colorectal cancer progression and may be used as therapeutic targets and biomarkers for patients with colorectal cancer (23,24,30). Several studies indicated that miR-513a-3p was involved in carcinogenesis (31,32). Zhang et al (31) found that miR-513a-3p was upregulated in cisplatin-resistant lung cancer cells, and that it sensitized lung cancer cells to cisplatin treatment via targeting GSTP1. Another study showed that miR-513a-3p regulated the inflammatory process and the migration of lung cancer cells through direct repression of Integrin Beta-8(32). The results of the present study suggest an antitumor role for miR-513a-3p in colorectal cancer. miR-513a-3p was found to be downregulated in colorectal cancer via bioinformatic analysis and RT-qPCR validation. In two colorectal cancer cell lines, overexpression of miR-513a-3p inhibited proliferation. As abnormal metabolism is essential for sustained proliferative signaling in colorectal cancer cells (6), glycolysis was examined in colorectal cancer cells transfected with miR-513a-3p mimic. Interestingly, the glucose uptake rate was suppressed following miR-513a-3p overexpression. Additionally, the lactate level in the culture medium of cells with miR-513a-3p overexpression was decreased. The present study demonstrated that miR-513a-3p influenced the metabolism and proliferation of colorectal cancer cells.

The aberrant activation of metabolism in cancer cells is the consequence of promoter methylation, gene mutation and altered expression of non-coding RNA (10,33). In hepatocellular carcinoma, the promoter of HK2 is hypomethylated, resulting in enhanced HK2 expression (34). HK2 is essential for initiation of KRAS mutation-driven tumors in mouse (35). In KRAS mutant colorectal cancer cells (HCT116 and DLD-1), HK2 expression was significantly higher compared with colorectal cancer cells with wild type KRAS (36). In colon and hepatocellular cancer cells, miRNAs such as miR-98 and miR-125 were found to be negative regulators of glycolysis via targeting HK2 (37,38). In the current study, several key regulators of glycolysis were screened in cells overexpressing miR-513a-3p. HK2 was downregulated after miR-513a-3p overexpression in HCT116 and SW480 cells, two KRAS-mutant colorectal cancer cell lines. miR-513a-3p was predicted and validated to be a novel direct regulator of HK2 in cancer cells. HK2 is pivotal for cell proliferation, stemness, metabolism and drug resistance of colorectal cancer cells (39,40). In the current study, HK2 overexpression reversed the inhibition of cell proliferation caused by miR-513a-3p overexpression. Furthermore, HK2 overexpression enhanced glucose uptake and elevated lactate levels, which were inhibited by miR-513a-3p overexpression. The results of this study suggest that miR-513a-3p/HK2 interaction is a driver of glycolysis and cell proliferation in colorectal cancer.

In summary, the present study explored the role of miR-513a-3p in colorectal cancer. Downregulation of miR-513a-3p directly increased HK2 expression and promoted proliferation and metabolism in colorectal cancer cells. These findings may serve as rationale for targeting miR-513a-3p and HK2 as a novel therapeutic approach for patients with colorectal cancer.

Acknowledgements

Not applicable.

Funding

No funding was received.

Availability of data and materials

The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.

Authors' contributions

JY conceived and designed the present study. CL, ZY and JY performed the experiments. CL and ZY coordinated the research and analyzed the data. JY wrote the manuscript and supervised the study. All of the authors received the final version of manuscript and approved for publication.

Ethics approval and consent to participate

The current study was approved by the Ethical Committee of the People's Hospital of Boluo County (Huizhou, China). Each patient provided written informed consent prior to the study.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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July-2020
Volume 20 Issue 1

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Spandidos Publications style
Li C, Yu Z and Ye J: MicroRNA‑513a‑3p regulates colorectal cancer cell metabolism via targeting hexokinase 2. Exp Ther Med 20: 572-580, 2020
APA
Li, C., Yu, Z., & Ye, J. (2020). MicroRNA‑513a‑3p regulates colorectal cancer cell metabolism via targeting hexokinase 2. Experimental and Therapeutic Medicine, 20, 572-580. https://doi.org/10.3892/etm.2020.8727
MLA
Li, C., Yu, Z., Ye, J."MicroRNA‑513a‑3p regulates colorectal cancer cell metabolism via targeting hexokinase 2". Experimental and Therapeutic Medicine 20.1 (2020): 572-580.
Chicago
Li, C., Yu, Z., Ye, J."MicroRNA‑513a‑3p regulates colorectal cancer cell metabolism via targeting hexokinase 2". Experimental and Therapeutic Medicine 20, no. 1 (2020): 572-580. https://doi.org/10.3892/etm.2020.8727