Literature DB >> 32821115

CircHIPK3 Promotes Clear Cell Renal Cell Carcinoma (ccRCC) Cells Proliferation and Metastasis via Altering of miR-508-3p/CXCL13 Signal.

Bin Han1, E Shaolong1, Lan Luan2, Nanyang Li2, Xuefeng Liu1.   

Abstract

INTRODUCTION: Accumulating evidence has demonstrated that circular RNAs (circRNAs) play a key role in the tumorigenesis of various types of cancers, including clear cell renal cell carcinoma (ccRCC).
MATERIALS AND METHODS: Reverse transcription-quantitative polymerase chain reaction was used to detect the expression of circRNA homeodomain interacting protein kinase 3 (circHIPK3) and microRNAs (miRNAs), including miR-508-3p. The clinical measurement of circHIPK3 was evaluated by Kaplan-Meier survival analysis and receiver operating characteristic analysis. Cell Counting Kit-8 and Transwell chamber assays were performed to determine the changes in the proliferative and metastatic ability of A498 and 786-O cells. C-X-C motif chemokine ligand 13 (CXCL13) protein expression was detected by Western blot analysis. The targeted binding effect between miR-508-3p and circHIPK3 or CXCL13 was confirmed by constructed luciferase and RNA immunoprecipitation (RIP) assays, respectively. Fluorescence in situ hybridization (FISH) assay was used to measure the subcellular localization of circHIPK3 and miR-508-3p.
RESULTS: It was found that circHIPK3 was markedly upregulated in ccRCC tissue and cell lines, and circHIPK3-upregulation was closely correlated with poor clinicopathological features in patients with ccRCC. It was found that both miR-508-3p and circHIPK3 were localized in the cytoplasm of ccRCC cells. The up- and downregulation of circHIPK3 positively regulated ccRCC cell proliferation and metastasis, and this regulatory effect was reversed by miR-508-3p. Through luciferase and RIP assays, it was confirmed that circHIPK3 could interacted with miR-508-3p. Furthermore, it was revealed that CXCL13, which was negatively correlated with miR-508-3p, was upregulated in ccRCC. It was also shown that CXCL13 was a downstream target of miR-508-3p. miR-508-3p suppressed ccRCC cell proliferation and metastasis by targeting CXCL13. Lastly, it was demonstrated that circHIPK3 promoted CXCL13 to facilitate ccRCC cell proliferation and metastasis by decoying miR-508-3p.
CONCLUSION: In brief, the results of the present study showed that circHIPK3 promoted ccRCC cell proliferation and metastasis by altering miR-5083p/CXCL13 signaling. The present findings might provide a novel target for the molecular treatment of ccRCC.
© 2020 Han et al.

Entities:  

Keywords:  CXCL13; ccRCC; circHIPK3; metastasis; miR-508-3p; proliferation

Year:  2020        PMID: 32821115      PMCID: PMC7422843          DOI: 10.2147/OTT.S251436

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

As one of the most common malignancies in adults, renal cell carcinoma (RCC), which is derived from renal tubular epithelial cells, has been estimated to account for ~23.4% deaths in China.1 Among its histological subtypes, clear cell RCC (ccRCC) accounts for 70–75% of all RCC, and is responsible for the majority of kidney cancer-related mortality.2,3 There is still a great challenge in the treatment of ccRCC, particularly in patients with metastatic ccRCC. As the molecular mechanisms of ccRCC are still not completely understood, the incidence rates are on an upward trend. Therefore, it is of great urgency to thoroughly investigate the molecular mechanisms of ccRCC tumorigenesis. As a class of stable covalently closed RNAs, circular RNA (circRNA) is highly stable and resistant to exonucleases due to their closed-ring structure without an 5`-end cap and 3`-end poly A tail.4 circRNAs are generated by back-splicing of a single pre-mRNA with gene-regulatory potential.5 As a member of the circRNA family, circRNA homeodomain interacting protein kinase 3 (circHIPK3) derives from Exon 2 of its host gene HIPK3, and is implicated in the progression of several types of cancer.6 circHIPK3 serves as an miRNA sponge absorbing several miRNAs in different types of malignancies. Zeng et al reported that circHIPK3 promoted colorectal cancer growth and metastasis by sponging miR-7.7 Through the regulation of microRNA 338-3p (miRNA-338-3p)/ADAM metallopeptidase domain 17 signaling, circHIPK3 overexpression accelerates proliferation and invasion in prostate cancer cells.8 To date, the expression and function of circHIPK3 in ccRCC remains obscure. C-X-C motif chemokine ligand 13 (CXCL13) is a homeostatic chemokine. Aberrantly active CXCL13 has been closely involved in the development and progression of multiple advanced malignancies.9 Zheng Z reported that CXCL13 was upregulated in ccRCC, and CXCL13 promoted the proliferation and migration of ccRCC cells by binding to CXCR5.10 Through its co-working with some miRNAs, CXCL13 is implicated in certain autoimmune diseases, such as myasthenia gravis or osteonecrosis.11–13 However, whether CXCL13 could interacted with any circRNAs remains largely unknown. In the present study, the role of circHIPK3 in ccRCC was determined. It was found that circHIPK3 functioned as an oncogene and promoted ccRCC cell proliferation and metastasis through circHIPK3-upregulation by absorbing miR-508-3p.

Materials and Methods

Patients and Tissue Samples

A total of 50 paired ccRCC and adjacent paratumor tissues were collected from patients through surgical resection at the Shengjing Hospital of China Medical University (Shenyang, China). All patients were clinically diagnosed by a definite pathological diagnosis. All patients signed written informed consent, and permission for this study was granted by the Institute Research Medical Ethics Committee of the Shengjing Hospital of the China Medical University. Patients with ccRCC were classified as stage I, II, III and IV, using the TNM staging system (version 8).

Cell Culture, Plasmid Construction and Cell Transfection

Three human ccRCC cell lines (A498, 786-O and 769-P) and a human renal proximal tubular epithelial HK2 cell line (HRPTEpiC) were purchased from the cell bank of the Chinese Academy of Sciences (Shanghai, China). All cells were cultured in RPMI 1640 medium (Thermo Fisher Scientific, Inc.) supplemented with 10% fetal bovine serum (FBS; Thermo Fisher Scientific, Inc.) at a constant temperature of 37°C in a humidified atmosphere containing 5% CO2. In order to silence circHIPK3, shRNA target circHIPK3 or negative control (shNC), was inserted into a pLKO.1 vector (Biosettia). CircHIPK3 overexpression plasmids containing wild-type or mutant miR-508-3p-binding sequences (circHIPK3 and mut-circHIPK3), as well as CXCL13 overexpression plasmids (oeCXCL13), were synthesized by Shanghai GenePharma Co., Ltd. miR-508-3p mimics (miR-508-3p) and negative control (miR-NC), as well as miR-508-3p inhibitors (inh-508-3p) and negative control (inh-NC), were also purchased from Shanghai GenePharma Co., Ltd. All plasmids or oligonucleotides were transfected into A498 and 786-O cells using Lipofectamine 2000 (Thermo Fisher Scientific, Inc.), according to the manufacturer’s instructions.

GEO Database Reanalysis

The differentially expressed miRNA data in ccRCC were downloaded from the GEO database (). Differentially expressed miRNAs between 18 ccRCC tissues and 18 paired ccRCC normal tissues were reanalyzed using an online software GEO2R. The expression of miR-508-3p in 18 ccRCC tissues and 18 paired ccRCC normal tissues were also reanalyzed in GSE116251.

Actinomycin D Assay and RNase R Treatment

Actinomycin D assay and RNase R were used to detect the stability of circHIPK3. For the Actinomycin D assay, the procedure was performed as previously described.14 A498 cells were exposed to 2 μg/mL actinomycin D (Merck KGaA) at different time points. Total RNA from different time points was extracted, and the expression of circHIPK3 and linear HIPK3 mRNA was determined by reverse transcription quantitative polymerase chain reaction (RT-qPCR). The RNase R treatment procedure was carried out as previously described.7 Total RNA (2 mg) was incubated for 30 min at 37°C with or without 5 U/μg RNase R (Epicentre Technologies Pvt. Ltd), and subsequently purified using an RNeasy MinElute Cleaning Kit (Qiagen, Inc.). Analysis was then performed by RT-qPCR.

RNA Extraction and RT-qPCR

The procedures were performed as previously described.15 Total RNA was isolated using TRIzol reagent (Thermo Fisher Scientific, Inc.). miRNAs were extracted using an miRcute miRNA Isolation Kit (Tiangen Biotech Co., Ltd.). Cytoplasmic and nuclear RNAs were separated using a PARIS Kit (Thermo Fisher Scientific, Inc.). An miScript Reverse Transcription Kit (Qiagen, Inc.) was used for reverse transcription with 500 ng total RNA treated by RNase R or not. RT-qPCR was performed with the diluted cDNA products, special primers and SYBR Green mix (Thermo Fisher Scientific, Inc.). GAPDH was used as endogenous control for circRNAs and mRNAs. U6 was used as endogenous control for miRNAs, respectively. Primer sequences are listed in Table 1.
Table 1

Primer Sequences Used for qRT-PCR

PrimersSequences (5ʹ-3ʹ)
circHIPK3 forwardTATGTTGGTGGATCCTGTTCGGCA
circHIPK3 reverseTGGTGGGTAGACCAAGACTTGTGA
HIPK3 forwardTGGAGACTGGGGGAAGATGA
HIPK3 reverseCACACTAACTGGCTGAGGGG
CXCL13 forwardGAGCCTGTCAAGAGGCAAAG
CXCL13 reverseCTGGGGATCTTCGAATGCTA
GAPDH forwardGTCAAGGCTGAGAACGGGAA
GAPDH reverseAAATGAGCCCCAGCCTTCTC
miR-1283 forwardGCGGCGGTCTACAAAGGAAAGC
miR-338-3p forwardGCGGCGGTCCAGCATCAGTG
miR-508-3p forwardGCGGCGGTGATTGTAGCCTTTTG
miR-558 forwardGCGGCGGTGAGCTGCTGTACC
miR-637 forwardGCGGCGGACTGGGGGCTTTCGG
miRNAs reverseATCCAGTGCAGGGTCCGAGG
U6 forward primerCTCGCTTCGGCAGCACA
U6 reverse primerAACGCTTCACGAATTTGCGT
Primer Sequences Used for qRT-PCR

In situ Hybridization

The procedures were carried out as previously described.16 ccRCC tissues slices (5-μm thick) were 10% formalin-fixed, paraffin-embedded, dewaxed and rehydrated. The slices were then digested with 20 μg/mL proteinase K for 30 min; 4% paraformaldehyde-fixed slices were hybridized with 8 ng/μL specific antisense oligonucleotide DNA probe (synthesized by Thermo Fisher Scientific, Inc.) overnight at 55°C. The samples were incubated with horseradish peroxidase (Merck KGaA) at 4°C for 30 min. Hybridization signals were amplified with diaminobenzidine (Merck KGaA), and images were captured using a fluorescent microscope (Leica Microsystems, Inc.).

RNA Fluorescence in situ Hybridization (RNA-FISH)

The procedures were performed as previously described.15 A498 and 786-O cells were first fixed in 4% formaldehyde solution and then incubated with 0.1% Triton X-100. Fluorescence-conjugated circHIPK3 or miR-508-3p probes (Thermo Fisher Scientific, Inc.) were hybridized at 37°C with cells in the dark for 5 h. The cells were then photographed by laser scanning confocal microscopy (Carl Zeiss AG).

Cell Counting Kit-8 (CCK8) Assay

The procedure was carried out as previously described.16 Briefly, A498 and 786-O cells after different interventions were incubated in 96-well plates (2x103), supplemented with 200 µL culture medium and conditioned in 37°C with 5% CO2. On days 1, 2, 3, 4 and 5, 20 μL CCK-8 solution was added into each well, and incubation was performed for 2 h. Absorbance was measured at an optical density of 450 nm using a Microplate reader (Bio-Rad Laboratories, Inc.). Experiments were repeated in triplicate.

Transwell Assay

The procedure was performed as previously reported.17 A498 and 786-O cells (with an incubation density of 5x104) were incubated in the upper chambers (Corning). For the invasion assay, the upper chambers were pre-coated with Matrigel (BD Biosciences). Culture medium without and with 10% FBS was added into the upper and lower chambers, respectively. After 12 h, non-migrated cells were wiped out while migrated or invaded CRC cells were fixed, stained and counted using an inverted microscope (Olympus Corporation).

Western Blot Analysis

The procedure was carried out as previously described.7 Radio immunoprecipitation assay lysis buffer (Merck KGaA) was used to split cells, and total protein was extracted. Samples (20 μg) were separated in 10% SDS-PAGE gels, transferred onto a PVDF membrane (EMD Millipore) and blocked for 1 h at room temperature. The membranes were incubated with primary antibodies (CXCL13 concentration, 0.5 µg/mL; GAPDH dilution rate, 1:500; Abcam) at 4°C overnight. The next day, the membranes were incubated with the secondary antibody (Abcam; dilution rate, 1:2000) at 24°C for 1 h. Signals of targeted proteins were detected using an enhanced chemiluminescence detection system.

Dual Luciferase Reporter Assay

The procedure was performed as previously described.15 Wild-type or mutant circHIPK3 or 3ʹ untranslated region (3ʹ-UTR) of CXCL13 was synthesized and then subcloned into pmirGLO (Promega Corporation). miR-508-3p containing the binding sites of circHIPK3 was also subcloned into pmirGLO luciferase reporter vector. Meanwhile, CXCL13 3ʹ-UTR containing miR-508-3p response elements (MRE-508-3p) was also subcloned into pmirGLO luciferase reporter vector. A498 and 786-O cells were seeded onto 24-well plates at a concentration of 3x104 per well and co-transfected with miR-508-3p mimics (miR-508-3p)/negative control miRNA (miR-NC) and pmirGLO-wt-circHIPK3 (wt)/pmirGLO-mut-circHIPK3 (mut), pmirGLO-wt-CXCL13 (WT)/pmirGLO-mut-CXCL13 (MUT). After 48 h, luciferase activity was measured with Dual-Luciferase Reporter Assay System (Promega Corporation), according to the manufacturer’s instructions.

RNA Immunoprecipitation (RIP) Assay

The procedure was performed as previously described.15 786-O or A498 cells were collected and lysed using a Magna RIP Kit (EMD Millipore), and then incubated with protein G Sepharose beads (GE Healthcare) coated with an anti-AGO2 antibody (Abcam) at 4°C overnight; an anti-IgG antibody was used as the negative control. RNA was then isolated for RT-qPCR, as mentioned above.

Statistical Analysis

All results are expressed as the mean ± SEM. Statistical analysis was performed using GraphPad Prism V5.0 (GraphPad Software, Inc.) software and one-way analysis of variance. Overall survival differences between patients with high or low levels of circHIPK3 expression were analyzed using Kaplan–Meier method and Log rank test. *P<0.05, **P<0.01 and ***P<0.001 were considered to indicate a statistically significant difference.

Results

circHIPK3 Is Upregulated and Correlated with Poor Prognosis in ccRCC

The circHIPK3 expression was detected in 50 paired ccRCC and paratumor tissue specimens. According to the RT-qPCR results displayed in Figure 1A and B, circHIPK3 was clearly upregulated in ccRCC tissues (n=50; P<0.0001). Meanwhile, an RNA ISH assay showed that circHIPK3 was gradually elevated in patients with an advanced TNM staging (Figure 1C). In addition, circHIPK3 was found to be upregulated in patients with lymph-node metastasis (Figure 1D). Furthermore, the high expression of circHIPK3 was closely associated with a shorter overall survival in patients with ccRCC (n=25 per group; P=0.0191; Figure 1E). In addition, receiver operating characteristic curve analysis demonstrated that circHIPK3 was a valuable biomarker in ccRCC (area under the curve, 0.95322; Figure 1F). The elevated expression of circHIPK3 and the clinicopathological features of patients with ccRCC were also analyzed. As shown in Table 2, the high expression of circHIPK3 was closely correlated with a high TNM grade (P=0.001), lymph node metastasis (P=0.037), distant metastasis (P=0.022), a bigger tumor size (P=0.021) and a higher Fuhrman grade (P=0.004). Expression of circHIPK3 at the cellular level was also measured by RT-qPCR. As shown in Figure 1G, cicrHIPK3 was significantly upregulated in three human ccRCC cell lines (A498, 786-O and 769-P) as compared with that in a human renal proximal tubular epithelial HK2 cell line. Since circHIPK3 was more highly expressed in A498 and 786-O cells, these two cell lines were selected in the following cellular detections. In addition, it was demonstrated that circHIPK3 was derived from exon 2 of linear HIPK3, as previously reported (Figure 1H). Finally, it was verified that circHIPK3 was more stable than linear HIPK3 mRNA, as determined by the Actinomycin D (Figure 1I) and RNase R (Figure 1J) assays.
Figure 1

circHIPK3 is upregulated and correlated with poor prognosis in patients with ccRCC. (A and B) The expression of circHIPK3 in ccRCC tissues and paired paratumor tissues was determined by a RT-qPCR assay. n=50. ****P<0.0001. (C) circHIPK3 at different stages of ccRCC tissues was measured by ISH assay. Magnification, x200 and x400. (D) circHIPK3 was upregulated in patients with lymph node metastasis. **P<0.01. (E) The overall survival rates of ccRCC patients with a higher circHIPK3 were lower than those of patients with a lower circHIPK3. P=0.0191, as determined by Kaplan–Meier survival analysis. (F) circHIPK3 was found to have a clinical value in ccRCC, as determined by a ROC curve (area under the curve, 0.95322 and P<0.0001). (G) circHIPK3 was upregulated in 3 ccRCC cell lines (A498, 786-O and 769-P), as compared with a human renal proximal tubular epithelial HK2 cell line. ***P<0.001 and ****P<0.0001, respectively. (H) circHIPK3 was derived from exon 2 of linear HIPK3, as illustrated in the sketch. The spliced mature full length of circHIPK2 was 1099 bp (position chr11:33307958–33309057). (I) An Actinomycin D assay was performed to detect the stability of circHIPK3 in A498 cells. **P<0.01. (J) An RNase R assay was used to evaluate the stability of circHIPK3 in 786-O cells. **P<0.01. n.s, P>0.05. All data are presented as the mean ± SD from three independent experiments. ROC, receiver operating characteristic; circHIPK3, circRNA homeodomain interacting protein kinase 3; ccRCC, clear cell renal cell carcinoma; RT-qPCR, reverse transcription-quantitative polymerase chain reaction.

Table 2

Association of circHIPK3 Expression with Clinicopathological Features of Patients with ccRCC

FeaturesNo. of CasescircHIPK3&p value *
HighLow
Gender0.765
 Male331617
 Female1798
Age (yrs)0.777
 ≤55271314
 >55231211
TNM stage0.001
 I + II331122
 III + IV17143
pT stage0.018
 T1 + T2321220
 T3 + T418135
pN stage0.037
 N0391623
 N11192
pM stage0.022
 M0391425
 M111110
Fuhrman grade0.004
 I + II361323
 III + IV14122
Tumor size (cm)0.021
 ≤5301119
 >520146

Notes: &Using median circHIPK3 values as cutoff. *p-value obtained from Pearson Chi-Square test.

Association of circHIPK3 Expression with Clinicopathological Features of Patients with ccRCC Notes: &Using median circHIPK3 values as cutoff. *p-value obtained from Pearson Chi-Square test. circHIPK3 is upregulated and correlated with poor prognosis in patients with ccRCC. (A and B) The expression of circHIPK3 in ccRCC tissues and paired paratumor tissues was determined by a RT-qPCR assay. n=50. ****P<0.0001. (C) circHIPK3 at different stages of ccRCC tissues was measured by ISH assay. Magnification, x200 and x400. (D) circHIPK3 was upregulated in patients with lymph node metastasis. **P<0.01. (E) The overall survival rates of ccRCC patients with a higher circHIPK3 were lower than those of patients with a lower circHIPK3. P=0.0191, as determined by Kaplan–Meier survival analysis. (F) circHIPK3 was found to have a clinical value in ccRCC, as determined by a ROC curve (area under the curve, 0.95322 and P<0.0001). (G) circHIPK3 was upregulated in 3 ccRCC cell lines (A498, 786-O and 769-P), as compared with a human renal proximal tubular epithelial HK2 cell line. ***P<0.001 and ****P<0.0001, respectively. (H) circHIPK3 was derived from exon 2 of linear HIPK3, as illustrated in the sketch. The spliced mature full length of circHIPK2 was 1099 bp (position chr11:33307958–33309057). (I) An Actinomycin D assay was performed to detect the stability of circHIPK3 in A498 cells. **P<0.01. (J) An RNase R assay was used to evaluate the stability of circHIPK3 in 786-O cells. **P<0.01. n.s, P>0.05. All data are presented as the mean ± SD from three independent experiments. ROC, receiver operating characteristic; circHIPK3, circRNA homeodomain interacting protein kinase 3; ccRCC, clear cell renal cell carcinoma; RT-qPCR, reverse transcription-quantitative polymerase chain reaction.

circHIPK3 Promotes Proliferation, Migration and Invasion in A498 and 786-O Cells

First, circHIPK3-shRNA and circHIPK3-overexpression plasmids (oecircHIPK3) were transfected into A498 and 786-O cells to knock down or overexpress circHIPK3. The transfection efficiency was detected by RT-qPCR, as shown in Figure 2A–D. Next, CCK8 assay was performed to measure the proliferation ability changes in A498 and 786-O cells. As shown Figure 2E and F, circHIPK3-knockdown (shcircHIPK3) suppressed A498 and 786-O cell proliferation and vice versa (Figure 2G and H). Finally, circHIPK3-overexpression promoted migration and invasion in A498 and 786-O cells, as determined by the Transwell assay (Figure 2I and J).
Figure 2

circHIPK3 promotes proliferation and metastasis in A498 and 786-O cells. The expression of circHIPK3 was (A and B) downregulated and (C and D) upregulated in A498 and 786-O cells, respectively, as determined by RT-qPCR. **P<0.01. n.s, P>0.05. (E and F) shcircHIPK3 suppressed ccRCC cell proliferation, while (G and H) circHIPK3-upregulation promoted proliferation in A498 and 786-O cells. *P<0.05 and **P<0.01, respectively. shcircHIPK3 suppressed metastasis, while circHIPK3-upregulation promoted it in (I) A498 and (J) 786-O cells. *P<0.05. All data are presented as the mean ± SD from three independent experiments. circHIPK3, circRNA homeodomain interacting protein kinase 3; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; ccRCC, clear cell renal cell carcinoma.

circHIPK3 promotes proliferation and metastasis in A498 and 786-O cells. The expression of circHIPK3 was (A and B) downregulated and (C and D) upregulated in A498 and 786-O cells, respectively, as determined by RT-qPCR. **P<0.01. n.s, P>0.05. (E and F) shcircHIPK3 suppressed ccRCC cell proliferation, while (G and H) circHIPK3-upregulation promoted proliferation in A498 and 786-O cells. *P<0.05 and **P<0.01, respectively. shcircHIPK3 suppressed metastasis, while circHIPK3-upregulation promoted it in (I) A498 and (J) 786-O cells. *P<0.05. All data are presented as the mean ± SD from three independent experiments. circHIPK3, circRNA homeodomain interacting protein kinase 3; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; ccRCC, clear cell renal cell carcinoma.

circHIPK3 Sponges miR-508-3p in A498 and 786-O Cells

circRNAs are mainly located in the cytoplasm and serve as miRNA sponges in cells. It was primarily found that circHIPK3 was mainly located in the cytoplasm of A498 and 786-O cells (Figure 3A–C). Two online prediction software Circular RNA interactome and circBank () were used to infiltrate potential miRNAs that might interact with circHIPK3.18 A total of 5 miRNAs that overlapped among aforementioned databases were identified, including miR-508-3p (Figure 3D). The expression levels of the 5 miRNAs in ccRCC tissues were determined by a RT-qPCR. miR-508-3p was selected for further study, as it was stably downregulated in the collected tissue samples and cells lines (Figure 3E and G). An in-depth analysis of GEO datasets also indicated that miR-508-3p was downregulated in ccRCC (GSE116251; probe ID of hsa-miR-508-3p; Figure 3F). It was then verified by RNA FISH assay that circHIPK3 and miR-508-3p were co-localized in the cytoplasm in A498 and 786-O cells (Figure 3H). Furthermore, it was shown that circHIPK3 was inversely correlated with miR-508-3p (Figure 3I). Functionally, it was revealed that the up- and downregulation of circHIPK3 negatively regulated the miR-508-3p expression (Figure 3J). Finally, it was verified that miR-508-3p targeted circHIPK3 via directly binding (Figure 3K–M).
Figure 3

circHIPK3 sponges miR-508-3p in A498 and 786-O cells. (A and B) circHIPK3 was mainly expressed in the cytoplasm rather than the nucleus in 786-O and A498 cells, as detected by RT-qPCR. (C) RNA-FISH assay confirmed that circHIPK3 was mainly located in the cytoplasm. (D) miRNAs that might interact with circHIPK3 were predicted using two online prediction software [circBank () and CircularRNA Interactome ()], and 5 miRNAs, including miR-508-3p, were primarily filtered out. (E) The expression of miRNAs in 3 collected tissue samples was qualified by RT-qPCR. (F) The expression of miR-508-3p in GSE116251 was analyzed using an online software (GEO2R). *P<0.05. (G) circHIPK3 at the cellular level was explored by RT-qPCR. **P<0.01. (H) Subcellular localization of circHIPK3 and miR-508-3p in A498 and 786-O cells was verified by RNA-FISH assay. (I) circHIPK3 was inversely correlated with miR-508-3p, as determined by a Spearman correlation analysis. r2=0.1243 and P=0.0120. (J) circHIPK3 negatively regulated miR-508-3p expression in A498 and 786-O cells, as determined by RT-qPCR. ***P<0.001. (K) Diagram of constructed luciferase reporter plasmids. (L) Compared with miR-NC, the co-transfection of wild reporter plasmids (WT) and miR-508-3p led to a marked cancellation of fluorescence. *P<0.05. n.s, P>0.05. (M) Enrichment of circHIPK3 and miR-508-3p in Ago2-containing beads of 786-O and A498 cells, as determined by RIP assay and subsequent RT-qPCR. **P<0.01. All data are presented as the mean ± SD from three independent experiments. miRNA, microRNA; circHIPK3, circRNA homeodomain interacting protein kinase 3; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; RNA-FISH, RNA fluorescence in situ hybridization; RIP, RNA immunoprecipitation.

circHIPK3 sponges miR-508-3p in A498 and 786-O cells. (A and B) circHIPK3 was mainly expressed in the cytoplasm rather than the nucleus in 786-O and A498 cells, as detected by RT-qPCR. (C) RNA-FISH assay confirmed that circHIPK3 was mainly located in the cytoplasm. (D) miRNAs that might interact with circHIPK3 were predicted using two online prediction software [circBank () and CircularRNA Interactome ()], and 5 miRNAs, including miR-508-3p, were primarily filtered out. (E) The expression of miRNAs in 3 collected tissue samples was qualified by RT-qPCR. (F) The expression of miR-508-3p in GSE116251 was analyzed using an online software (GEO2R). *P<0.05. (G) circHIPK3 at the cellular level was explored by RT-qPCR. **P<0.01. (H) Subcellular localization of circHIPK3 and miR-508-3p in A498 and 786-O cells was verified by RNA-FISH assay. (I) circHIPK3 was inversely correlated with miR-508-3p, as determined by a Spearman correlation analysis. r2=0.1243 and P=0.0120. (J) circHIPK3 negatively regulated miR-508-3p expression in A498 and 786-O cells, as determined by RT-qPCR. ***P<0.001. (K) Diagram of constructed luciferase reporter plasmids. (L) Compared with miR-NC, the co-transfection of wild reporter plasmids (WT) and miR-508-3p led to a marked cancellation of fluorescence. *P<0.05. n.s, P>0.05. (M) Enrichment of circHIPK3 and miR-508-3p in Ago2-containing beads of 786-O and A498 cells, as determined by RIP assay and subsequent RT-qPCR. **P<0.01. All data are presented as the mean ± SD from three independent experiments. miRNA, microRNA; circHIPK3, circRNA homeodomain interacting protein kinase 3; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; RNA-FISH, RNA fluorescence in situ hybridization; RIP, RNA immunoprecipitation.

miR-508-3p Suppresses Proliferation, Migration and Invasion by Targeting CXCL13 in A498 and 786-O Cells

CXCL13 is implicated in the proliferation and metastasis of multiple types of cancer, including ccRCC. First, the expression of CXCL13 in ccRCC was determined by analyzing GEO datasets GSE53757 and GSE66272. As shown in Figure 4A and B, CXCL13 was significantly upregulated in ccRCC, as compared with that in normal kidney and adjacent nontumor tissues. CXCL13 was also found to be upregulated in ccRCC tissues (Figure 4C). It was then verified that miR-508-3p inversely regulated CXCL13 at the protein level (Figure 4D and E). Meanwhile, it was found that miR-508-3p was negatively correlated with the mRNA expression of CXCL13 (Figure 4F). Furthermore, through a luciferase assay, it was demonstrated that miR-508-3p targeted CXCL13 directly (Figure 4G–I). Functionally, it was found that miR-508-3p suppressed proliferation, migration and invasion in A498 and 786-O cells, and that that suppressive effect was reversed by the upregulation of CXCL13 (miR-508-3p + pcDNA-CXCL13) (Figure 4J–M).
Figure 4

miR-508-3p suppresses proliferation and metastasis by targeting CXCL13 in A498 and 786-O cells. The expression of CXCL13 in (A) GSE53757 and (B) GSE66272 was analyzed using GEO2R. ****P<0.0001. (C) CXCL13 protein expression in the collected 5 ccRCC tissue samples was examined by Western blot analysis. (D) The up- and downregulation of miR-508-3p had a limited effect on CXCL13 mRNA expression, as measured by RT-qPCR. (E) miR-508-3p inversely regulated CXCL13 protein expression. *P<0.05. (F) Expression of miR-508-3p was inversely correlated with CXCL13 mRNA, as determined by Spearman correlation analysis. (G) Diagram of constructed luciferase reporter plasmids. As compared with miR-NC, the co-transfection of wild reporter plasmids (WT) and miR-508-3p led to a marked cancellation of fluorescence in (H) A498 and (I) 786-O cells, respectively. **P<0.01. n.s, P>0.05. Changes in the proliferative and metastatic ability of (j-k) A498 and (l-m) 786-O cells were measured by a CCK8 and Transwell chamber assay, respectively. *P<0.05. *P<0.05. All data are presented as the mean ± SD from three independent experiments. miR, microRNA; CXCL13, C-X-C motif chemokine ligand 13; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; CCK8, Cell Counting Kit-8.

miR-508-3p suppresses proliferation and metastasis by targeting CXCL13 in A498 and 786-O cells. The expression of CXCL13 in (A) GSE53757 and (B) GSE66272 was analyzed using GEO2R. ****P<0.0001. (C) CXCL13 protein expression in the collected 5 ccRCC tissue samples was examined by Western blot analysis. (D) The up- and downregulation of miR-508-3p had a limited effect on CXCL13 mRNA expression, as measured by RT-qPCR. (E) miR-508-3p inversely regulated CXCL13 protein expression. *P<0.05. (F) Expression of miR-508-3p was inversely correlated with CXCL13 mRNA, as determined by Spearman correlation analysis. (G) Diagram of constructed luciferase reporter plasmids. As compared with miR-NC, the co-transfection of wild reporter plasmids (WT) and miR-508-3p led to a marked cancellation of fluorescence in (H) A498 and (I) 786-O cells, respectively. **P<0.01. n.s, P>0.05. Changes in the proliferative and metastatic ability of (j-k) A498 and (l-m) 786-O cells were measured by a CCK8 and Transwell chamber assay, respectively. *P<0.05. *P<0.05. All data are presented as the mean ± SD from three independent experiments. miR, microRNA; CXCL13, C-X-C motif chemokine ligand 13; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; CCK8, Cell Counting Kit-8.

circHIPK3 Promotes CXCL13 Expression by Decoying miR-508-3p in A498 and 786-O Cells

In the current section, we attempted to determine whether circHIPK3 could regulate CXCL13 by decoying miR-508-3p. Constructed wild-type and mutant (with mutated MRE-508-3p) circHIPK3-overexpression plasmids (circHIPK3 and mut-circHIPK3), as well as miR-508-3p mimics (miR-508-3p) were transfected into A498 and 786-O cells. miR-NC was used as a control. As shown in Figure 5A and B, wild-type (circHIPK3) circHIPK3-overexpression plasmids promoted CXCL13 protein expression, but mutant (mut-circHUIPK3) ones did not. In addition, the facilitating effect of circHIPK3 was significantly attenuated by the upregulation of miR-508-3p (co-transfection of circHIPK3 and miR-508-3p). Finally, functional CCK8 and Transwell assays were used to detect the proliferative and metastatic ability changes in ccRCC cells. shcircHIPK3 suppressed proliferation in ccRCC, and that suppressive effect was reversed by the upregulation of CXCL13 (shcircHIPK3 + oeCXCL13). More convincingly, when miR-508-3p (shcircHIPK3 + oeCXCL13 + miR-508-3p) was further upregulated, the proliferation ability was again weakened (Figure 5C and D). The Transwell assay results suggested a similar tendency (Figure 5E and F). These phenomena indicated that circHIPK3 promoted ccRCC cell proliferation, migration and invasion through circHIPK3-upregulation by decoying miR-508-3p.
Figure 5

circHIPK3 promotes CXCL13 by decoying miR-508-3p in A498 and 786-O cells. CXCL13 expression was examined by Western blot analysis in (A) A498 and (B) 786-O cells. Changes in the proliferative ability of (C) A498 and (D) 786-O cells following different circHIPK3, CXCL13 and miR-508-3p interventions were evaluated by CCK8 assay. Changes in the metastatic ability of (E) A498 and (F) 786-O cells following different circHIPK3, CXCL13 and miR-508-3p interventions were determined by Transwell chamber assay. **P<0.01. n.s, P>0.05. All data are presented as the mean ± SD from three independent experiments. circHIPK3, circRNA homeodomain interacting protein kinase 3; CXCL13, C-X-C motif chemokine ligand 13; miR, microRNA; CCK8, Cell Counting Kit-8.

circHIPK3 promotes CXCL13 by decoying miR-508-3p in A498 and 786-O cells. CXCL13 expression was examined by Western blot analysis in (A) A498 and (B) 786-O cells. Changes in the proliferative ability of (C) A498 and (D) 786-O cells following different circHIPK3, CXCL13 and miR-508-3p interventions were evaluated by CCK8 assay. Changes in the metastatic ability of (E) A498 and (F) 786-O cells following different circHIPK3, CXCL13 and miR-508-3p interventions were determined by Transwell chamber assay. **P<0.01. n.s, P>0.05. All data are presented as the mean ± SD from three independent experiments. circHIPK3, circRNA homeodomain interacting protein kinase 3; CXCL13, C-X-C motif chemokine ligand 13; miR, microRNA; CCK8, Cell Counting Kit-8.

Discussion

circRNA is a category of RNA transcript with covalently closed continuous loops of single-stranded structures and limited protein coding abilities.4,19 circRNAs are broadly expressed in the cytoplasm of eukaryotic cells.6 Recent studies have reported the dysregulation of circRNAs in ccRCC and their association with malignant behavior.20,21 As a member of the circRNA family, circHIPK3 is a recently identified circRNA, shown to be implicated in the progression of various types of cancer and relevant to human pathologies.6 In the present study, the biological and clinical role of circHIPK3 in ccRCC was explored. First, it was found that the expression of circHIPK3 was markedly upregulated in the 50 paired ccRCC tissue specimens that were collected. A further clinical study indicated that circHIPK3 was closely correlated with bad clinicopathological features in patients with ccRCC. Functional CCK8 and Transwell chamber assays suggested that circHIPK3 played a key role in the regulation of proliferation, migration and invasion in ccRCC cells. Next, the underlying mechanism of circHIPK3 in ccRCC cells was determined. A previous study has suggested that most circRNAs exert their various biological functions through their co-working with certain miRNAs, by acting as competing endogenous RNAs.22 Through an online bioinformatics prediction, it was theoretically predicted that miR-508-3p might be a potential target of circHIPK3. miRNAs are small non-coding RNAs measuring 22–25 nucleotides in length. miRNAs are widely expressed and play crucial roles in various biological processes, including cell growth, apoptosis, cell-cycle control, cell differentiation and metastasis.23,24 miR-508-3p, which contains one exon, is located at human chromosome Xq27.3. miR-508-3p acts as a tumor suppressor by targeting diverse downstream genes in multiple malignancies, including breast, cervical, colorectal and ovarian cancer.25–28 Zhai et al reported that miR-508-3p was closely associated with cell invasion and migration and involved in the apoptosis of ccRCC.29 In the present study, it was primarily found that miR-508-3p was downregulated in ccRCC by analyzing the collected tissue samples and GEO dataset GSE116251. It was then verified that circHIPK3 and miR-508-3p were co-located in the cytoplasm in ccRCC cells. Through a luciferase and RIP assay, it was proven that circHIPK3 could interacted with miR-508-3p via directly targeting. Meanwhile, the association between miR-508-3p and CXCL13, a downstream target of miR-508-3p, was detected. Aberrantly active CXCL13 and its downstream CXCR5 signaling has been implicated in the development and progression of several types of advanced human cancer.9 Previous studies have indicated that CXCL13 has good diagnostic and prognostic value and may become a candidate biomarker and therapeutic target for ccRCC.30,31 It was also demonstrated herein that CXCL13 was upregulated in ccRCC. miR-508-3p was found to target CXCL13 at the post-transcriptional level. Functionally, it was showed that miR-508-3p suppressed ccRCC cell proliferation and metastasis via the inhibition of CXCL13. Since a circRNA might sponge one or more miRNAs and further regulate multiple mRNAs, we further explored whether circHIPK3 could regulate CXCL13 by absorbing miR-508-3p. The theoretical MRE-508-3p was mutated in circHIPK3, and the CXCL13 protein expression was measured. It was found that circHIPK3 promoted CXCL13 protein expression. Both the mutation of MRE-508-3p in circHIPK3 and the upregulation of miR-508-3p were found to cripple the facilitating effect of circHIPK3 on CXCL13, which strongly supported our hypothesis that circHIPK3 regulated CXCL13 via miR-508-3p sponging. In conclusion, the findings of the present study suggested that circHIPK3 promoted proliferation, migration and invasion through circHIPK3-upregulation by miR-508-3p sponging. The circHIPK3/miR-508-3p/CXCL13 axis might be a novel therapeutic target for the molecular treatment of ccRCC.
  31 in total

1.  Micro-RNA-143 inhibits proliferation and promotes apoptosis of thymocytes by targeting CXCL13 in a myasthenia gravis mouse model.

Authors:  Dong-Mei Wu; Xin Wen; Xin-Rui Han; Shan Wang; Yong-Jian Wang; Min Shen; Shao-Hua Fan; Juan Zhuang; Zi-Feng Zhang; Qun Shan; Meng-Qiu Li; Bin Hu; Chun-Hui Sun; Jun Lu; Yuan-Lin Zheng
Journal:  Am J Physiol Cell Physiol       Date:  2018-11-07       Impact factor: 4.249

Review 2.  MiRNA Biogenesis and Regulation of Diseases: An Overview.

Authors:  Anchal Vishnoi; Sweta Rani
Journal:  Methods Mol Biol       Date:  2017

3.  Long non-coding RNA Linc00483 accelerated tumorigenesis of cervical cancer by regulating miR-508-3p/RGS17 axis.

Authors:  Pin Hu; Guiju Zhou; Xiaohui Zhang; Geng Song; Lei Zhan; Yunxia Cao
Journal:  Life Sci       Date:  2019-08-24       Impact factor: 5.037

4.  Identification of CXCL13 as a potential biomarker in clear cell renal cell carcinoma via comprehensive bioinformatics analysis.

Authors:  Tianbo Xu; Hailong Ruan; Zhengshuai Song; Qi Cao; Keshan Wang; Lin Bao; Di Liu; Junwei Tong; Hongmei Yang; Ke Chen; Xiaoping Zhang
Journal:  Biomed Pharmacother       Date:  2019-08-04       Impact factor: 6.529

Review 5.  The circular RNA HIPK3 (circHIPK3) and its regulation in cancer progression: Review.

Authors:  Yimin Xie; Xuefeng Yuan; Weimin Zhou; Anthony Adebayiga Kosiba; Haifeng Shi; Jie Gu; Zhenqian Qin
Journal:  Life Sci       Date:  2020-01-02       Impact factor: 5.037

6.  Long non-coding RNA TUG1 promotes migration and invasion by acting as a ceRNA of miR-335-5p in osteosarcoma cells.

Authors:  Yong Wang; Tao Yang; Zhen Zhang; Ming Lu; Wei Zhao; Xiandong Zeng; Weiguo Zhang
Journal:  Cancer Sci       Date:  2017-05-19       Impact factor: 6.716

7.  CXCL13/CXCR5 Axis Predicts Poor Prognosis and Promotes Progression Through PI3K/AKT/mTOR Pathway in Clear Cell Renal Cell Carcinoma.

Authors:  Zaosong Zheng; Yuhong Cai; Haicheng Chen; Zhiliang Chen; Dingjun Zhu; Qiyu Zhong; Wenlian Xie
Journal:  Front Oncol       Date:  2019-01-22       Impact factor: 6.244

8.  LncRNA SLCO4A1-AS1 promotes colorectal cancer cell proliferation by enhancing autophagy via miR-508-3p/PARD3 axis.

Authors:  Zhaozhi Wang; Jianjun Jin
Journal:  Aging (Albany NY)       Date:  2019-07-16       Impact factor: 5.682

9.  circTP63 functions as a ceRNA to promote lung squamous cell carcinoma progression by upregulating FOXM1.

Authors:  Zhuoan Cheng; Chengtao Yu; Shaohua Cui; Hui Wang; Haojie Jin; Cun Wang; Botai Li; Meilin Qin; Chen Yang; Jia He; Qiaozhu Zuo; Siying Wang; Jun Liu; Weidong Ye; Yuanyuan Lv; Fangyu Zhao; Ming Yao; Liyan Jiang; Wenxin Qin
Journal:  Nat Commun       Date:  2019-07-19       Impact factor: 14.919

10.  Construction and analysis of circular RNA molecular regulatory networks in clear cell renal cell carcinoma.

Authors:  Chuanyu Ma; Jie Qin; Junpeng Zhang; Xingli Wang; Dongjun Wu; Xiunan Li
Journal:  Mol Med Rep       Date:  2019-11-11       Impact factor: 2.952

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  12 in total

1.  Circular RNAs as Prognostic Biomarkers in Renal Cell Carcinoma: A Systematic Review and Meta-Analysis.

Authors:  Dan Liao; Qiu Lin; Huan Xiao; Fenglian Zhang; Qin Han
Journal:  Front Genet       Date:  2022-06-08       Impact factor: 4.772

2.  KLF2-induced circZKSCAN1 potentiates the tumorigenic properties of clear cell renal cell carcinoma by targeting the miR-1294/PIM1 axis.

Authors:  Mingzi Li; Mingxun Zhang; Muling Chen; Jiantao Xiao; Xingyu Mu; Jingtao Peng; Jie Fan
Journal:  Cell Cycle       Date:  2022-03-14       Impact factor: 5.173

Review 3.  Biogenesis, cellular effects, and biomarker value of circHIPK3.

Authors:  Yihan Fu; Hong Sun
Journal:  Cancer Cell Int       Date:  2021-05-11       Impact factor: 5.722

4.  Emerging landscape of circHIPK3 and its role in cancer and other diseases (Review).

Authors:  Qi Shao; Yong Huang; Cai Zhang; Xiaochan Gao; Shiyang Gao
Journal:  Mol Med Rep       Date:  2021-03-31       Impact factor: 2.952

5.  Circular RNA-HIPK3 regulates human pulmonary artery endothelial cells function and vessel growth by regulating microRNA-328-3p/STAT3 axis.

Authors:  Liuqing Hong; Xiaoying Ma; Jiyuan Liu; Yinzhu Luo; Jincai Lin; Ying Shen; Liyan Zhang
Journal:  Pulm Circ       Date:  2021-03-29       Impact factor: 3.017

Review 6.  CircRNAs as Novel Biomarkers and Therapeutic Targets in Renal Cell Carcinoma.

Authors:  Yuxia Zhou; Cheng Li; Zhenping Wang; Shuangfeng Tan; Yiqi Liu; Hu Zhang; Xuefeng Li
Journal:  Front Mol Biosci       Date:  2022-02-11

7.  Systematic Review With Meta-Analysis: Diagnostic, Prognostic and Clinicopathological Significance of CircRNA Expression in Renal Cancer.

Authors:  Wujun Wang; Shengfang Xie; Dongping Yuan; Dandan He; Liming Fang; Fengfeng Ge
Journal:  Front Oncol       Date:  2022-01-28       Impact factor: 6.244

8.  Expression profile and prognostic value of CXCR family members in head and neck squamous cell carcinoma.

Authors:  Yiming Shen; Chongchang Zhou; Yujie Cao; Qun Li; Hongxia Deng; Shanshan Gu; Yidong Wu; Zhisen Shen
Journal:  World J Surg Oncol       Date:  2022-08-17       Impact factor: 3.253

9.  circHIPK3 Exacerbates Folic Acid-Induced Renal Tubulointerstitial Fibrosis by Sponging miR-30a.

Authors:  Yan Wu; Junjun Luan; Congcong Jiao; Shiwen Zhang; Cong Ma; Yixiao Zhang; Jingqi Fu; En Yin Lai; Jeffrey B Kopp; Jingbo Pi; Hua Zhou
Journal:  Front Physiol       Date:  2022-01-04       Impact factor: 4.566

Review 10.  Non-coding RNA in cancer.

Authors:  Huiwen Yan; Pengcheng Bu
Journal:  Essays Biochem       Date:  2021-10-27       Impact factor: 8.000

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