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Circular RNA hsa_circ_0000517 modulates hepatocellular carcinoma advancement via the miR-326/SMAD6 axis

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PRIMARY RESEARCH

Circular RNA hsa_circ_0000517 modulates

hepatocellular carcinoma advancement

via the miR-326/SMAD6 axis

Shuwei He

1,2

, Zhengwu Guo

1,2

, Qian Kang

1,2

, Xu Wang

1,2

and Xingmin Han

1,2*

Abstract

Background: Hepatocellular carcinoma (HCC) is the most common malignant heterogeneous disease in primary liver tumors. Circular RNA hsa_circ_0000517 (hsa_circ_0000517) is connected with HCC prognosis. Nevertheless, there are few studies on the role and mechanism of hsa_circ_0000517 in HCC.

Methods: Expression of hsa_circ_0000517, miR-326, and SMAD family member 6 (SMAD6) was detected by quantita-tive real-time polymerase chain reaction (qRT-PCR). Cell viability, colony formation, cell cycle, migration, and invasion were determined though Cell Counting Kit-8 (CCK-8), colony formation, flow cytometry, wound healing, or transwell assays. Protein levels of Cyclin D1, matrix metalloproteinase-2 (MMP2), matrix metalloproteinase-9 (MMP9), SMAD6, and proliferating cell nuclear antigen (PCNA) were examined with western blot analysis. The relationship between hsa_circ_0000517 or SMAD6 and miR-326 was determined via dual-luciferase reporter and RNA immunoprecipitation (RIP) assays. The role of hsa_circ_0000517 in vivo was confirmed via xenograft assay.

Results: Hsa_circ_0000517 and SMAD6 were up-regulated while miR-326 was down-regulated in HCC tissues and cells. Hsa_circ_0000517 down-regulation repressed cell proliferation, colony formation, migration, and invasion, and induced cell cycle arrest in HCC cells in vitro, and constrained tumor growth in vivo. Notably, hsa_circ_0000517 regulated SMAD6 expression via acting as a competing endogenous RNA (ceRNA) for miR-326. And the repressive influence on malignant behaviors of HCC cells mediated by hsa_circ_0000517 inhibition was reversed by miR-326 inhibitors. Moreover, SMAD6 elevation overturned the inhibitory impacts of miR-326 mimics on malignant behaviors of HCC cells.

Conclusions: Hsa_circ_0000517 depletion repressed HCC advancement via regulating the miR-326/SMAD6 axis. Keywords: HCC, hsa_circ_0000517, miR-326, SMAD6

© The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://crea-tivecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdo-main/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Highlights

1. Hsa_circ_0000517 expression was increased in HCC tissues and cells.

2. Inhibition of hsa_circ_0000517 repressed HCC pro-gression.

3. Hsa_circ_0000517 acted as a ceRNA for miR-326. 4. SMAD6 was a target for miR-326.

5. Hsa_circ_0000517 regulated SMAD6 expression via miR-326.

Background

Hepatocellular carcinoma (HCC), the most common malignant heterogeneous disease in primary liver tumors, ranks fourth among cancer-related causes of death [1]. At present, the treatment of HCC mainly includes surgery,

Open Access

*Correspondence: blhzjgy@163.com

2 Henan Medical Key Laboratory of Molecular Imaging, No. 1 Jianshe East

Road, Zhengzhou, Henan 450000, China

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radio-therapy, or chemo-therapy [2, 3]. Despite advances in the diagnosis of HCC, only 30–40% of patients can be treated with surgery [4]. The main reason for losing sur-gical treatment is because most patients are diagnosed at an advanced stage [5, 6]. However, most HCC patients have metastases and relapses within 5 years after under-going surgical treatment [7, 8]. In consequence, it is vital to survey the mechanisms related to HCC progression for developing new diagnostic biomarkers and treatment strategies.

Circular RNAs (circRNA) are a special type of non-coding RNAs with a covalently closed continuous circular structure [9]. They are abundant, stable, and conserved, and are usually expressed at a particular developmental stage or in specific tissues [10]. Improving evidence has demonstrated that circRNAs can control gene expres-sion by regulating RNA-binding proteins by working as a competing endogenous RNA (ceRNA) for microRNAs (miRNA) [11]. Recently, many circRNAs were revealed to be involved in tumor advancement [12]. Circular RNA hsa_circ_0000517 (hsa_circ_0000517) is transcribed from the ribonuclease P RNA component H1 (RPPH1) gene on chromosome14:20811404-20811492. Moreover, hsa_circ_0000517 acted as a novel promising biomarker for the prediction of HCC prognosis [13]. Notwithstand-ing, the function and mechanism of hsa_circ_0000517 in cancer are rarely reported.

MiRNAs modulate the expression of target genes after transcription [14]. They exert vital roles in a verity of biological processes, such as developmental, prolifera-tion, metabolism, and differentiation [15]. MiRNAs serve as tumor suppressors or oncogenes to regulate tumor progression and metastasis [16]. For instance, miR-203 accelerated tumor growth and cell stemness in ER-posi-tive breast, while it repressed cancer cell growth in gas-tric cancer [17, 18]. It was reported that microRNA-326 (miR-326) down-regulation was connected with gastric cancer poor prognosis [19]. MiR-326 was disclosed to be implicated in the development of diverse tumors, such as endometrial cancer [20], colorectal cancer [21], and lung cancer [22]. Also, miR-326 mediated cell apoptosis, inva-sion, and proliferation in HCC [23]. However, the molec-ular mechanisms of miR-326 in HCC need to be further studied.

SMAD family member 6 (SMAD6) is a vital feedback suppressive modulator of bone morphogenetic protein (BMP)/SMAD signaling [24]. Imbalance of BMP signal-ing in developmental syndromes can accelerate the pro-gression of diseases, including cancers [25]. In a zebrafish xenograft model, SMAD6 could determine BMP-medi-ated breast cancer cell invasion behavior [26]. SMAD6 negatively modulated PIAS3-mediated suppression, which accelerated cell growth and stem-like initiation in

glioma cells [27]. Also, BRG1 accelerated SMAD6 expres-sion in HCC cells, which could facilitate cancer cell pro-liferation [28]. However, the molecular mechanisms of SMAD6 in the progression of HCC have not been fully elucidated.

Hence, we explored the role of hsa_circ_0000517 in HCC. Moreover, we also surveyed the molecular mecha-nism of the hsa_circ_0000517/miR-326/SMAD6 axis in HCC cells.

Materials and methods Patients and specimens

All experimental protocols in this research were ratified by the Ethics Committee of the First Affiliated Hospital of Zhengzhou University. 50 paired HCC tissues and adjoin-ing normal tissues were obtained from HCC patients who underwent surgery at the First Affiliated Hospital of Zhengzhou University. The clinicopathological param-eters of patients with HCC were exhibited in Table 1. The criteria for inclusion in our sample were: patients with complete survival data and no chemotherapy or radio-therapy before surgery. The patients were followed up for 5 years and no patients were lost to follow-up during this period. Informed consent was signed by the each partici-pant prior to surgery.

Cell culture and transfection

Hepatic epithelial cells THLE-2 and HCC cell lines (HCCLM3, Huh7, and MHCC97-H) were purchased

Table 1 Correlation between  hsa_circ_0000517

expression and  clinicopathological parameters

of hepatocellular carcinoma patients (n = 50)

The italics P values had significant differences

Clinical feature n hsa_circ_0000517 P-value

High Low

Age 0.5688

≥ 60 28 15 13

< 60 22 10 12

Gender 0.5443

Man 34 18 16

Woman 16 7 9

Tumor size < 0.0001

≥ 5 cm 30 22 8

< 5 cm 20 3 17

TNM state 0.0016

III 29 20 9

I + II 21 5 16

Lymph node metastasis 0.0039

Negative 30 20 10

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from BeNa Culture Collection (Suzhou, China). All cells were kept in an incubator with 5% CO2 at 37 °C and

cul-tured in Roswell Park Memorial Institute (RPMI) 1640 medium (Sigma, Louis, Missouri, MO, USA) comple-mented with fetal bovine serum (FBS, 10%, HyClone, Logan, UT, USA), streptomycin (100 μg/mL, Sigma), and penicillin (100 U/mL, Sigma).

Small interference RNA targeting hsa_circ_0000517 (si-hsa_circ_0000517#1 and si-hsa_circ_0000517#2) and negative control (si-NC) were obtained from GeneP-harma (Shanghai, China). MiR-326 mimics and inhibi-tors (miR-326 and anti-miR-326) and their negative controls (NC and anti-NC) were procured from GeneP-harma. The sequence of hsa_circ_0000517 or SMAD6 was cloned into the pCD5-ciR vector (circ-NC) (Green-seed Biotech, Guangzhou, China) or pcDNA3.1 vector (vector) (Invitrogen, Carlsbad, CA, USA) to construct the overexpression vectors for hsa_circ_0000517 and SMAD6, respectively. When the confluence reached 80%, HCC cells were transiently transfected with the desig-nated plasmids or oligonucleotides using Lipofectamine 3000 reagent (Life Technologies, Grand Island, NY, USA).

Quantitative real-time polymerase chain reaction (qRT-PCR)

Total RNA of specimens, HCC xenograft tissues, and cells was extracted through the TRIzol reagent (Life Technologies). For RNase R digestion, total RNA of HCC cells was treated with RNase R (3 U/μg, Epicentre Tech-nologies, Madison, WI, USA) at 37 °C for 15 min. Total RNA (1  μg) was reverse transcribed using the Prime-Script RT reagent Kit (Takara, Dalian, China) or miRNA First-Strand Synthesis Kit (Takara) to obtain the comple-mentary DNA for hsa_circ_0000517, RPPH1, SMAD6, and miR-326. QRT-PCR was conducted through the SYBR Premix Ex Taq (Takara). The 2−ΔΔCt method was

employed to figure the expression of hsa_circ_0000517, RPPH1, SMAD6, and miR-326, and Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) or U6 small nuclear RNA (snRNA) was served as an internal control. The sequence of the primers were used in this research as below: GAPDH: (F: 5′-GAC TCC ACT CAC GGC AAA TTCA-3′ and R: 5′-TCG CTC CTG GAA GAT GGT GAT-3′); hsa_circ_0000517: (F: 5′-GGG AGG TGA GTT CCC AGA GA-3′ and R: 5′-TGG CCC TAG TCT CAG ACC TC-3′); RPPH1: (F: 5′-CGA GCT GAG TGC GTC CTG TC-3′ and R: 5′-TCG CTG GCC GTG AGT CTG T-3′); SMAD6: (F: 5′-GCT ACC AAC TCC CTC ATC ACT-3′

and R: 5′-CGT CGG GGA GTT GAC GAA GAT-3′); U6 snRNA (F: 5′-GCT CGC TTC GGC AGC ACA -3′ and R: 5′-GAG GTA TTC GCA CCA GAG GA-3′), and miR-326 (F: 5′-GGC GCC CAG AUA AUGCG-3′ and R: 5′-CGT GCA GGG TCC GAG GTC -3′).

Cell Counting Kit-8 (CCK-8) assay

After transfection with the designated plasmids or oli-gonucleotides, the HCCLM3 and Huh7 cells (5 × 103)

were cultured in RPMI 1640 medium for 48  h. Next, the CCK-8 reagent (10 μL, Dojindo, Tokyo, Japan) was added into each well and incubated for 2 h. The color reaction at 450  nm was analyzed through the Micro-plate Absorbance Reader (Bio-Rad Labs., Richmond, CA, USA).

Cell colony formation assay

The transfected HCCLM3 and Huh7 cells (1 × 102)

were seeded in a cell culture dish and maintained for 9 days. The medium was replaced every 3–4 days. The cells were fixed with ethanol (75%) for 2  h and then stained with crystal violet (0.2%, KeyGen, Jiangsu, China) for 2 h. The number of cells colonies (> 50 cells/ colony) was counted and photographed by using the light microscope (Olympus, Tokyo, Japan).

Flow cytometry assay

The cell cycle distribution was assessed with propidium iodide (PI) cytometry assay. In short, the transfected HCCLM3 and Huh7 cells were cultured for 48 h. Then, the cells were harvested and fixed with ethanol (70%) at

− 20 °C for overnight. Thereafter, the cells were washed

with phosphate buffer solution (PBS) and then stained with the PI/RNase solution (Sigma). The cell cycle dis-tribution was assessed with the FACScan flow cytom-etry (BD Biosciences, Bedford, MA, USA).

Wound healing assay

The migration ability of the transfected HCCLM3 and Huh7 cells was assessed with the scratch test. After transfection for 48  h, HCCLM3 and Huh7 cell mon-olayers (with the confluency of 90%) were scratched via a pipette tip (200 μL). Thereafter, the cells were washed with PBS and then cultured in RPMI 1640 medium (with or without FBS). Wounds were observed at 0  h, 12, or 24 h, respectively. The images were obtained with the light microscope (Olympus).

Transwell assay

The invasion capacity of transfected HCCLM3 and Huh7 cells was evaluated using the transwell cham-ber (8  μm, BD Biosciences) with matrigel matrix (BD Biosciences). After culture for 24  h, the transfected HCCLM3 and Huh7 cells were (3 × 104 cells) were

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After removing the cells on the upper surface of the membrane with a cotton swab, the cells on the lower surface of the membrane were fixed with methanol (100%) and stained with crystal violet (0.25%, Sigma). The invaded cells were counted via a light microscope (Olympus).

Western blot analysis

Specimens, HCC xenograft tissues, and cells were lysed in lysis buffer (Beyotime, Shanghai, China). Western blot analysis was executed as previously described [29]. Total protein concentration was evaluated via the Bicin-choninic Acid Protein Assay Kit (Beyotime). Protein bands were visualized by the ImmunoStar LD (Wako Pure Chemical, Osaka, Japan). The primary antibod-ies used were presented as follows: anti-Cyclin D1 (ab134175, 1:1000), anti-matrix metalloproteinase-2 (MMP2) (ab92536, 1:1000), anti-matrix metalloprotein-ase-9 (MMP9) (ab76003, 1:1000), anti-SMAD6 (ab80049, 1:500), anti-proliferating cell nuclear antigen (PCNA) (ab92552, 1:1000), and anti-GAPDH (ab128915, 1:5000). The goat anti-rabbit (ab97051, 1:10,000) immunoglobulin G (IgG) used as the secondary antibody. Also, GAPDH was regarded as a loading control. All antibodies were bought from Abcam (Cambridge, MA, USA).

Dual-luciferase reporter assay

The binding sites of miR-326 in hsa_circ_0000517 were predicted with the Circular RNA Interactome and Star-base dataStar-bases. The sequence of hsa_circ_0000517 (pos-sessed binding sites for miR-326) was inserted into the pGL3-control vector (Promega, Madison, WI, USA) to construct the luciferase reporters with wild type (wt) hsa_circ_0000517. And the luciferase reporters with the mutant (mut) hsa_circ_0000517 (within the binding sites to miR-326) were also established via using the same way. The binding sites of SMAD6 in miR-326 were predicted with the targetscan database. The luciferase reporters containing SMAD6-wt 3′Untranslated Regions (UTR) or SMAD6-mut 3′UTR were constructed using the same method. HCC cells were co-transfected luciferase reporters and NC or miR-326 using Lipofectamine 3000 reagent. The luciferase intensities of luciferase reporters in HCC cells were determined with the dual-luciferase reporter assay kit (Promega).

RNA immunoprecipitation (RIP) assay

The relationship between hsa_circ_0000517 or SMAD6 and miR-326 was confirmed through the Magna RIP kit (Millipore, Bedford, MA, USA). HCC cells were lysed by using the RIP lysis buffer. The cell lysates were incubated with the RIP buffer containing magnetic beads conju-gated with anti-Ago2 or anti-IgG antibodies (Millipore).

Next, the magnetic beads were incubated with proteinase K (Sigma), and the total RNA was isolated using the TRI-zol reagent (Life Technologies). QRT-PCR was employed to assess the abundance of hsa_circ_0000517, SMAD6, and miR-326.

Xenograft assay

10 BALB/c nude mice (athymic, 5-week-old, 17–18  g) were purchased from Shanghai Experimental Animal Center (Shanghai, China) and kept under specific-path-ogen-free conductions. The animal experiment was ratified by the Animal Ethics Committee of the First Affil-iated Hospital of Zhengzhou University. Huh7 cells with sh-NC or stable lentivirus-mediated sh-hsa_circ_0000517 (GenePharma) were subcutaneously injected into the dorsal side of the nude mice. The tumor volume was measured once a week from the day of injection and cal-culated by the equation: Volume = (length × width2)/2.

The mice were euthanized on day 35 to obtain the tumor tissues for subsequent analysis.

Statistical analysis

Statistical analysis was conducted via 19.0 (SPSS, Chi-cago, IL, USA). Differences with P < 0.05 were statisti-cally. Data were exhibited as mean ± standard deviation. Chi square test was used to evaluate the correlation between hsa_circ_0000517 expression and clinicopatho-logical parameters. The experiments in  vitro were per-formed in triplicate. Statistical significance was evaluated by Student’s t test (the differences between two groups) or one-way variance analysis (ANOVA) (the differences among more groups). The correlation was determined with Pearson’s correlation analysis. The survival rate was analyzed through the Kaplan–Meier curves and the log-rank test.

Results

High hsa_circ_0000517 expression in HCC tissues and cells was associated with poor prognosis

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hsa_circ_0000517 (Fig. 1c). We also analyzed the char-acteristic of hsa_circ_0000517 in HCC cells. And hsa_ circ_0000517 was resistant to RNase R compared to the liner gene RPPH1 (Fig. 1d). Consistently, the expres-sion of hsa_circ_0000517 was signally elevated in HCC cells (HCCLM3, Huh7, and MHCC97-H) in contrast to the THLE-2 cells, and hsa_circ_0000517 expression was higher in HCCLM3 and Huh7 cells (Fig. 1e). These data manifested that elevated hsa_circ_0000517 expression might be connected with HCC advancement.

Silence of hsa_circ_0000517 repressed cell proliferation, colony formation, migration, and invasion, and induced cell cycle arrest in HCC cells

In view of the enhancement of hsa_circ_0000517 in HCC tissues and cells, we investigated the role of hsa_circ_0000517 in HCC via loss-of-func-tion experiments. We designed two siRNA target-ing hsa_circ_0000517 (si-hsa_circ_0000517#1 and si-hsa_circ_0000517#2) and results of qRT-PCR exhibited that hsa_circ_0000517 expression was markedly decreased in HCCLM3 and Huh7 cells transfected with hsa_circ_0000517#1 and si-hsa_circ_0000517#2 (Fig. 2a). CCK-8 assay displayed that cell proliferation was apparently suppressed in

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Hsa_circ_0000517 was identified as a ceRNA for miR-326

Then, we further explored the molecular mechanism of hsa_circ_0000517 in HCC. We discovered that miR-1296-5p, miR-326, and miR-330-5p might be potential targets for hsa_circ_0000517 through Starbase and Cir-cular RNA Interactome databases (Fig. 3a). And miR-326 expression was higher than that of miR-1296-5p and miR-330-5p in hsa_circ_000051-sileced HCCLM3 and Huh7 cells (Additional file 3: Fig. S3). The binding sites of hsa_circ_0000517 in miR-326 and its mutant sites were displayed in Fig. 3b. Moreover, we observed that miR-326 expression was remarkably decreased in HCC tissues in comparison to the adjoining normal tis-sues (Fig. 3c). And miR-326 was down-regulated in HCCLM3, Huh7, and MHCC97-H cells than that in the THLE-2 cells (Fig. 3d). The correlation analysis revealed that the expression of hsa_circ_0000517 and miR-326

in HCC tissues had negative correlation (Fig. 3e). We observed that hsa_circ_0000517 was overtly increased in HCCLM3 and Huh7 cells after hsa_circ_0000517 transfection (Additional file 4: Fig. S4A). Also, miR-326 expression was distinctly restrained by hsa_circ_0000517 overexpression and was accelerated by hsa_circ_0000517 silencing in HCCLM3 and Huh7 cells (Fig. 3f). And miR-326 expression was enhanced after miR-miR-326 transfec-tion and was reduced by transfecting with anti-miR-326 in HCCLM3 and Huh7 cells (Additional file 4: Fig. S4B). Besides, dual-luciferase reporter assay manifested that miR-326 enhancement inhibited the luciferase inten-sity of the luciferase reporter with hsa_circ_0000517-wt in HCCLM3 and Huh7 cells, while there was no visible difference in hsa_circ_0000517-mut luciferase reporters (Fig. 3g). RIP assay exhibited that hsa_circ_0000517 and miR-326 were dramatically enriched in Ago2-containing Fig. 2 Effects of hsa_circ_0000517 down-regulation on proliferation, colony formation, cell cycle, migration, and invasion of HCC cells. ag

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micro-ribonucleoprotein complexes, indicating that Ago2 protein bound to hsa_circ_0000517 and miR-326 in HCCLM3 and Huh7 cells (Fig. 3h). Taken together, these findings revealed that hsa_circ_0000517 served as a ceRNA for miR-326 in HCC.

MiR-326 silencing overturned hsa_circ_0000517 inhibition-mediated effects on proliferation, colony formation, cell cycle, migration, and invasion of HCC cells

Given that miR-326 acted as a target for hsa_ circ_0000517 in HCC, we further checked on whether hsa_circ_0000517 exerted its role through miR-326. QRT-PCR revealed that the elevation of miR-326 in HCCLM3 and Huh7 cells caused by hsa_circ_0000517 inhibition was reversed by anti-miR-326 introduc-tion (Fig.  4a). Moreover, the inhibitory impacts of hsa_circ_0000517 depletion on proliferation and colony formation of HCCLM3 and Huh7 cells were abolished by miR-326 down-regulation (Fig. 4b, c). Furthermore, miR-326 inhibition reversed the repression of cell cycle of HCCLM3 and Huh7 cells induced by hsa_circ_0000517 down-regulation (Fig.  4d). Also, decreased miR-326

expression recovered the suppressive effects on migra-tion and invasion of HCCLM3 and Huh7 cells mediated by hsa_circ_0000517 silencing (Fig. 4e, f). Moreover, the down-regulation of Cyclin D1, MMP2, and MMP9 in hsa_circ_0000517-constrained HCCLM3 and Huh7 cells were restored by miR-326 repression (Fig. 4g). Together, these results indicated that hsa_circ_0000517 silencing repressed HCC progression via miR-326.

SMAD6 acted as a target for miR-326

Next, we explored the downstream target for miR-326 in HCC via targetscan database. The 3′UTR of SMAD6 pos-sessed the possible binding sites for miR-326, as exhib-ited in Fig. 5a. The levels of SMAD6 mRNA and protein were obviously increased in HCC tissues compared to the adjoining normal tissues (Fig. 5b, c). Congruously, SMAD6 protein level was up-regulated in HCC cells (Fig. 5d). The levels of SMAD6 mRNA were enhanced by transfecting with SMAD6 and were decreased by trans-fecting with si-SMAD6 in HCCLM3 and Huh7 cells (Additional file 4: Fig. S4C). We also detected the levels of pSMAD1/5/8 in HCCLM3 and Huh7 cells. The results Fig. 3 MiR-326 acted as a target for hsa_circ_0000517 in HCC. a Both Starbase and Circular RNA Interactome databases displayed that miR-1296-5p, miR-326, and miR-330-5p might be potential targets for hsa_circ_0000517. b The binding sites of hsa_circ_0000517 in miR-326 were showed. c,

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exhibited that SMAD6 knockdown increased the lev-els of pSMAD1/5/8 in HCCLM3 and Huh7 cells. These results indicated that SMAD6 silencing could activate the SMAD signaling (Additional file 5: Fig. S5). Moreover, the expression of SMAD6 in HCC tissues had a positive correlation with hsa_circ_0000517 and negative cor-relation with miR-326 (Fig. 5e, f). Also, enhanced miR-326 expression constrained SMAD6 protein levels in HCCLM3 and Huh7 cells, while this impact was recov-ered by hsa_circ_0000517 overexpression (Fig. 5g). Addi-tionally, dual-luciferase reporter assay disclosed that the luciferase activity was overtly repressed in HCCLM3 and Huh7 cells co-transfected with miR-326 and luciferase reporters with SMAD6-wt, while the luciferase activity in luciferase reporters with SMAD6-mut did not change

(Fig. 5h). RIP assay suggested that miR-326 and SMAD6 were gathered in Ago2-harboring miRNA ribonucleo-protein complexes compared the control group (Fig. 5i). These results indicated that SMAD6 was a target for miR-326 in HCC.

SMAD6 elevation abrogated miR-326

overexpression-mediated impacts on proliferation, colony formation, cell cycle, migration, and invasion of HCC cells

Considering that miR-326 targeted SMAD6 in HCC cells, we further verified the interaction between miR-326 and SMAD6 in HCC cells. We discovered that SMAD6 overexpression partly reversed the inhibitory effect of miR-326 mimics on the levels of SMAD6 protein of HCCLM3 and Huh7 cells (Fig. 6a). Moreover, SMAD6 Fig. 4 Hsa_circ_0000517 played its role in HCC via miR-326. a The si-NC, si-hsa_circ_0000517#1, si-hsa_circ_0000517#1 + anti-NC, or si-hsa_

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overexpression overturned the repressive effects on pro-liferation, colony formation, and cell cycle progression of HCCLM3 and Huh7 cells mediated by miR-326 up-regulation (Fig. 6b–d). Also, the inhibition of migration and invasion of HCCLM3 and Huh7 cells induced by miR-326 enhancement was restored by SMAD6 elevation (Fig. 6e, F). In addition, the protein levels of Cyclin D1, MMP2, and MMP9 in miR-326-elevated HCCLM3 and Huh7 cells were repressed, while this suppression was abolished by SMAD6 augmentation (Fig. 6g, h). Collec-tively, these results indicated that miR-326 played its role via targeting SMAD6 in HCC cells.

Hsa_circ_0000517 down-regulation constrained HCC growth in vivo

In view of the repressive effects of hsa_circ_0000517 silencing on cell malignant behaviors in  vitro, we fur-ther verified the role of hsa_circ_0000517 down-regu-lation on tumor growth in vivo via xenograft assay. We observed that tumor volume and weight were promi-nently repressed in the sh-hsa_circ_0000517 group

compared to the control group (Fig. 7a, b). Furthermore, hsa_circ_0000517 expression was evidently repressed in tumor tissues of the sh-hsa_circ_0000517 group in com-parison with the sh-NC group, while the expression of miR-326 was visibly elevated (Fig. 7c, d). Besides, PCNA and SMAD6 protein levels were also distinctly down-regulated in tumor tissues of the sh-hsa_circ_0000517 group (Fig. 7e). In sum, these data indicated that hsa_ circ_0000517 repletion could repress HCC growth in vivo.

Discussion

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apoptosis and inhibited cell invasion, proliferation, and migration in HCC cells [32]. Herein, HCC patients with high hsa_circ_0000517 expression had a lower survival rate. Moreover, hsa_circ_0000517 reduction repressed tumor growth in vivo and suppressed proliferation, col-ony formation, cell cycle progression, migration, and invasion of HCC cells in vitro. Wang et al. also disclosed that high hsa_circ_0000517 expression could predict the adverse prognosis of HCC [13]. Hence, we could con-clude that hsa_circ_0000517 acted as an oncogene in HCC.

Increasing researches manifested that circRNAs were in involved in the progression of diverse cancers by act-ing as a ceRNA for miRNAs [30, 32, 33]. MiR-326 was demonstrated to be a suppressor in various cancers. In lung cancer, long non-coding RNA (lncRNA) HOTAIR regulated the miR-326/PHOX2A axis, which repressed cell apoptosis and promoted cell migration, prolifera-tion, and cell cycle progression [18]. Moreover, forced

miR-326 expression induced cell apoptosis and cycle arrest, and curbed cell colony formation, invasion, migration, and proliferation in prostatic carcinoma cells [34]. Another one reporter revealed that miR-326 was up-regulated by has_circ_0000515 inhibition in cervical cancer cells, which could facilitate cell apop-tosis, autophagy, and repressed cell invasion and pro-liferation [35]. Besides, miR-326 could be repressed by lncRNA H19, lncRNA SNHG3, or circRNA circASAP1, respectively, which could contribute to HCC progres-sion [36–38]. Moreover, miR-326 could act as a promis-ing biomarker for prognosis evaluation and diagnosis, and it could lead to the development of new cancer therapies [39]. In our study, miR-326 acted as a target for hsa_circ_0000517. Moreover, the inhibition of miR-326 reversed hsa_circ_0000517 depletion-mediated effects on the malignant behaviors of HCC cells. Hence, it is possible that miR-326 serve as a new target for HCC therapy.

Fig. 6 MiR-326 exerted its role through SMAD6 in HCC cells. a Western blot analysis was conducted to assess the influence of SMAD6 overexpression on SMAD6 protein levels of miR-326-elevated HCCLM3 and Huh7 cells. bf Impacts of SMAD6 augmentation on miR-326

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Additionally, we found that SMAD6 was a down-stream target for miR-326. SMAD6 was regulated by hsa_circ_0000517 through miR-326. Moreover, the over-expression of SMAD6 abolished the repressive impacts of miR-326 up-regulation on proliferation, colony for-mation, cell cycle, migration, and invasion of HCC cells. A study revealed that BRG1 promoted HCC cell prolif-eration and predicted HCC recurrence through up-reg-ulating SMAD6 [28]. Another study demonstrated that galangin inhibited the proliferation of HepG2 cells via activation of the TGF-β/SMAD pathway [40]. In con-sequence, we concluded that hsa_circ_0000517 could regulate HCC progression via the miR-326/SMAD6 axis (Fig. 8).

Conclusion

In all, hsa_circ_0000517 acted as an oncogene in HCC. Furthermore, hsa_circ_0000517 silencing repressed HCC progression through reducing SMAD6 expression

Fig. 7 Depletion of hsa_circ_0000517 repressed HCC growth in vivo. a Tumor volumes were measured once a week from the day of injection. b

Tumor weight in the sh-hsa_circ_0000517 and sh-NC groups was assessed on day 35. c, d The expression of hsa_circ_0000517 and miR-326 in tumor tissues of the sh-hsa_circ_0000517 and sh-NC groups was detected with qRT-PCR. e Protein levels of PCNA and SMAD6 in tumor tissues of the sh-hsa_circ_0000517 and sh-NC groups were examined by western blot analysis. *P < 0.05

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via targeting miR-326. The research suggested that hsa_ circ_0000517 served as a promising prognostic marker and therapeutic target for HCC.

Supplementary information

Supplementary information accompanies this paper at https ://doi.

org/10.1186/s1293 5-020-01447 -w.

Additional file1: Fig. S2 Effect of hsa_circ_0000517 inhibition on p21 and C-caspase 3 levels of HCC cells. (A and B) The levels of p21 and C-cas-pase 3 in HCCLM3 and Huh7 cells transfected with si-hsa_circ_0000517#1, si-hsa_circ_0000517#2, or si-NC were measured with western blot analysis. *P < 0.05.

Additional file2: Fig. S5 Impact of hsa_circ_0000517 silencing on the migration of HCC cells. (A and B) Wound healing assay was performed to assess the migration of HCCLM3 and Huh7 cells with or without FBS. *P < 0.05.

Additional file3: Fig. S4 Influence of hsa_circ_0000517 knockdown on miRNAs expression of HCC cells. (A and B) The expression of miR-1296-5p, mire-326, and miR-330-5p in HCCLM3 and Huh7 cells transfected with si-hsa_circ_0000517#1 or si-NC was evaluated via qRT-PCR. *P < 0.05.

Additional file4: Fig. S1 Efficiency of cell transfection of plasmids and oligonucleotides. (A-C) The levels of hsa_circ_0000517, miR-326, or SMAD6 in HCCLM3 and Huh7 cells transfected with circ-NC, hsa_ circ_0000517, NC, miR-326, anti-NC, anti-miR-326, vector, SMAD6, si-NC, or si-SMAD6 were assessed by qRT-PCR. *P < 0.05.

Additional file5: Fig. S3 Effect of SMAD6 knockdown on SMAD signaling of HCC cells. (A and B) The levels of pSMAD1/5/8 in HCCLM3 and Huh7 cells were examined with western blot analysis. *P < 0.05.

Abbreviations

HCC: Hepatocellular carcinoma; hsa_circ_0000517: Circular RNA hsa_ circ_0000517; SMAD6: SMAD family member 6; CCK-8: Cell Counting Kit-8; MMP2: Matrix metalloproteinase-2; MMP9: Matrix metalloproteinase-9; PCNA: Proliferating cell nuclear antigen; RIP: RNA immunoprecipitation.

Acknowledgements None.

Authors’ contributions

SH and XH conceived and designed the experiments; ZG and XW performed the experiments, Funding acquisition; QK contributed reagents/materials/ analysis tools; SZ wrote the paper. All authors read and approved the final manuscript.

Funding None

Availability of data and materials

All data generated or analysed during this study are included in this published Article.

Ethics approval and consent to participate

All experimental protocols in this research were ratified by the Ethics Com-mittee of the First Affiliated Hospital of Zhengzhou University. The animal experiment was ratified by the Ethics Committee of the First Affiliated Hospital of Zhengzhou University.

Consent for publication

Informed consent was obtained from all patients.

Competing interests

The authors declare that they have no competing interests.

Author details

1 Department of Nuclear Medicine, The First Affiliated Hospital of Zhengzhou

University, Zhengzhou, Henan 450000, China. 2 Henan Medical Key Laboratory

of Molecular Imaging, No. 1 Jianshe East Road, Zhengzhou, Henan 450000, China.

Received: 9 January 2020 Accepted: 21 July 2020

References

1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mor-tality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424.

2. Mohammad N, Singh SV, Malvi P, Chaube B, Athavale D, Vanuopadath M, Nair SS, Nair B, Bhat MK. Strategy to enhance efficacy of doxorubicin in solid tumor cells by methyl-β-cyclodextrin: involvement of p53 and Fas receptor ligand complex. Sci Rep. 2015;5:11853.

3. Meena AS, Sharma A, Kumari R, Mohammad N, Singh SV, Bhat MK. Inher-ent and acquired resistance to paclitaxel in hepatocellular carcinoma: molecular events involved. PLoS ONE. 2013;8(4):e61524.

4. Xu L, Feng X, Hao X, Wang P, Zhang Y, Zheng X, Li L, Ren S, Zhang M, Xu M. CircSETD3 (Hsa_circ_0000567) acts as a sponge for microRNA-421 inhibiting hepatocellular carcinoma growth. J Exp Clin Cancer Res. 2019;38(1):98.

5. Hartke J, Johnson M, Ghabril M. The diagnosis and treatment of hepato-cellular carcinoma. Semin Diagn Pathol. 2017;34(2):153–9.

6. Forner A, Reig M, Bruix J. Hepatocellular carcinoma. Lancet (London, England). 2018;391(10127):1301–14.

7. Hao S, Fan P, Chen S, Tu C, Wan C. Distinct recurrence risk factors for intra-hepatic metastasis and multicenter occurrence after surgery in patients with hepatocellular carcinoma. J Gastrointest Surg. 2017;21(2):312–20. 8. Su Y-H, Kim AK, Jain S. Liquid biopsies for hepatocellular carcinoma. Transl

Res. 2018;201:84–97.

9. Memczak S, Jens M, Elefsinioti A, Torti F, Krueger J, Rybak A, Maier L, Mackowiak SD, Gregersen LH, Munschauer M, et al. Circular RNAs are a large class of animal RNAs with regulatory potency. Nature. 2013;495(7441):333–8.

10. Qu S, Yang X, Li X, Wang J, Gao Y, Shang R, Sun W, Dou K, Li H. Circular RNA: a new star of noncoding RNAs. Cancer Lett. 2015;365(2):141–8. 11. Hansen TB, Jensen TI, Clausen BH, Bramsen JB, Finsen B, Damgaard CK,

Kjems J. Natural RNA circles function as efficient microRNA sponges. Nature. 2013;495(7441):384–8.

12. Kristensen LS, Hansen TB, Venø MT, Kjems J. Circular RNAs in cancer: opportunities and challenges in the field. Oncogene. 2018;37(5):555–65. 13. Wang X, Wang X, Li W, Zhang Q, Chen J, Chen T. Up-regulation of hsa_

circ_0000517 predicts adverse prognosis of hepatocellular carcinoma. Front Oncol. 2019;9:1105.

14. Fabian MR, Sonenberg N, Filipowicz W. Regulation of mRNA translation and stability by microRNAs. Annu Rev Biochem. 2010;79:351–79. 15. Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function.

Cell. 2004;116(2):281–97.

16. Zhang B, Pan X, Cobb GP, Anderson TA. microRNAs as oncogenes and tumor suppressors. Dev Biol. 2007;302(1):1–12.

17. Li J, Zhang B, Cui J, Liang Z, Liu K. MiR-203 inhibits the invasion and EMT of gastric cancer cells by directly targeting annexin A4. Oncol Res. 2019;27(7):789–99.

18. Muhammad N, Bhattacharya S, Steele R, Ray RB. Anti-miR-203 suppresses ER-positive breast cancer growth and stemness by targeting SOCS3. Oncotarget. 2016;7(36):58595–605.

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targeting FSCN1 in gastric cancer. Growth Fact (Chur, Switzerland). 2015;33(4):267–74.

20. Liu W, Zhang B, Xu N, Wang MJ, Liu Q. miR-326 regulates EMT and metastasis of endometrial cancer through targeting TWIST1. Eur Rev Med Pharmacol Sci. 2017;21(17):3787–93.

21. Pan S, Liu Y, Liu Q, Xiao Y, Liu B, Ren X, Qi X, Zhou H, Zeng C, Jia L. HOTAIR/ miR-326/FUT6 axis facilitates colorectal cancer progression through regulating fucosylation of CD44 via PI3K/AKT/mTOR pathway. Biochim Biophys Acta. 2019;1866(5):750–60.

22. Wang R, Chen X, Xu T, Xia R, Han L, Chen W, De W, Shu Y. MiR-326 regu-lates cell proliferation and migration in lung cancer by targeting phox2a and is regulated by HOTAIR. Am J Cancer Res. 2016;6(2):173–86. 23. Hu S, Ran Y, Chen W, Zhang Y, Xu Y. MicroRNA-326 inhibits cell

prolifera-tion and invasion, activating apoptosis in hepatocellular carcinoma by directly targeting LIM and SH3 protein 1. Oncol Rep. 2017;38(3):1569–78. 24. Zhang X, Zhang J, Bauer A, Zhang L, Selinger DW, Lu CX, Ten Dijke P. Fine-tuning BMP7 signalling in adipogenesis by UBE2O/E2-230K-mediated monoubiquitination of SMAD6. EMBO J. 2013;32(7):996–1007. 25. Xu J, Derynck R. Does Smad6 methylation control BMP signaling in

cancer? Cell Cycle. 2014;13(8):1209–10.

26. de Boeck M, Cui C, Mulder AA, Jost CR, Ikeno S, Ten Dijke P. Smad6 determines BMP-regulated invasive behaviour of breast cancer cells in a zebrafish xenograft model. Sci Rep. 2016;6:24968.

27. Jiao J, Zhang R, Li Z, Yin Y, Fang X, Ding X, Cai Y, Yang S, Mu H, Zong D, et al. Nuclear Smad6 promotes gliomagenesis by negatively regulating PIAS3-mediated STAT3 inhibition. Nat Commun. 2018;9(1):2504. 28. Chen Z, Lu X, Jia D, Jing Y, Chen D, Wang Q, Zhao F, Li J, Yao M, Cong W,

et al. Hepatic SMARCA4 predicts HCC recurrence and promotes tumour cell proliferation by regulating SMAD6 expression. Cell Death Dis. 2018;9(2):59.

29. Wang F, Qi X, Li Z, Jin S, Xie Y, Zhong H. lncRNA CADM1-AS1 inhibits cell-cycle progression and invasion via PTEN/AKT/GSK-3β axis in hepatocel-lular carcinoma. Cancer Manag Res. 2019;11:3813–28.

30. Han D, Li J, Wang H, Su X, Hou J, Gu Y, Qian C, Lin Y, Liu X, Huang M, et al. Circular RNA circMTO1 acts as the sponge of microRNA-9 to suppress hepatocellular carcinoma progression. Hepatology (Baltimore, MD). 2017;66(4):1151–64.

31. Yu J, Xu Q-G, Wang Z-G, Yang Y, Zhang L, Ma J-Z, Sun S-H, Yang F, Zhou W-P. Circular RNA cSMARCA5 inhibits growth and metastasis in hepato-cellular carcinoma. J Hepatol. 2018;68(6):1214–27.

32. Yu J, Yang M, Zhou B, Luo J, Zhang Z, Zhang W, Yan Z. CircRNA-104718 acts as competing endogenous RNA and promotes hepatocellular carcinoma progression through microRNA-218-5p/TXNDC5 signaling pathway. Clin Sci. 2019;133(13):1487–503.

33. Zhang J, Liu H, Hou L, Wang G, Zhang R, Huang Y, Chen X, Zhu J. Circular RNA_LARP4 inhibits cell proliferation and invasion of gastric cancer by sponging miR-424-5p and regulating LATS1 expression. Mol Cancer. 2017;16(1):151.

34. Liang X, Li Z, Men Q, Li Y, Li H, Chong T. miR-326 functions as a tumor suppressor in human prostatic carcinoma by targeting Mucin1. Biomed Pharmacother. 2018;108:574–83.

35. Tang Q, Chen Z, Zhao L. Circular RNA hsa_circ_0000515 acts as a miR-326 sponge to promote cervical cancer progression through up-regulation of ELK1. Aging. 2019;11(22):9982–99.

36. Wei L-Q, Li L, Lu C, Liu J, Chen Y, Wu H. Involvement of H19/miR-326 axis in hepatocellular carcinoma development through modulating TWIST1. J Cell Physiol. 2019;234(4):5153–62.

37. Zhao Q, Wu C, Wang J, Li X, Fan Y, Gao S, Wang K. LncRNA SNHG3 pro-motes hepatocellular tumorigenesis by targeting miR-326. Tohoku J Exp Med. 2019;249(1):43–56.

38. Hu Z-Q, Zhou S-L, Li J, Zhou Z-J, Wang P-C, Xin H-Y, Mao L, Luo C-B, Yu S-Y, Huang X-W, et al. Circular RNA sequencing identifies CircASAP1 as a key regulator in hepatocellular carcinoma metastasis. Hepatology. 2019. https ://doi.org/10.1002/hep.31068 .

39. Jadideslam G, Ansarin K, Sakhinia E, Babaloo Z, Abhari A, Ghahremanza-deh K, Khalili M, Radmehr R, Kabbazi A. Diagnostic biomarker and thera-peutic target applications of miR-326 in cancers: a systematic review. J Cell Physiol. 2019;234(12):21560–74.

40. Wang Y, Wu J, Lin B, Li X, Zhang H, Ding H, Chen X, Lan L, Luo H. Galangin suppresses HepG2 cell proliferation by activating the TGF-β receptor/ Smad pathway. Toxicology. 2014;326:9–17.

Publisher’s Note

Figure

Table 1 Correlation expression and 
Fig. 1 Expression level of hsa_circ_0000517 in HCC tissues and cells. a QRT-PCR was conducted to detect hsa_circ_0000517 expression in 50 paired HCC tissues and adjoining normal tissues
Fig. 2 Effects of hsa_circ_0000517 down-regulation on proliferation, colony formation, cell cycle, migration, and invasion of HCC cells
Fig. 3 MiR-326 acted as a target for hsa_circ_0000517 in HCC. a Both Starbase and Circular RNA Interactome databases displayed that miR-1296-5p, miR-326, and miR-330-5p might be potential targets for hsa_circ_0000517
+5

References

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