Background
Hepatocellular carcinoma (HCC) is one of the most frequently diagnosed malignancies and the third most common cause of cancer-related death worldwide. Despite the use of innovative therapeutic strategies for HCC, survival rate is still poor for HCC patients. It is mainly due to the high rates of recurrence and metastasis after surgical resection [
1,
2]. Although great progress has been achieved in the identification of protein-coding genes or small noncoding RNAs, i.e., microRNAs, in development and progression of HCC [
3,
4], little is known about the roles of long noncoding RNAs (lncRNAs) in hepatocarcinogenesis.
LncRNAs are a class of noncoding RNA transcripts that have recently attracted great research interest. So far, a large range of functions have been attributed to lncRNAs, such as control of muscle differentiation [
5], reprogramming of induced pluripotent stem cells [
6], and modulation of cell apoptosis and invasion [
7]. Indeed, accumulating evidence indicates that alteration and dysfunction of lncRNAs have been shown to result in aberrant genes expression that promotes tumor formation, progression and metastasis of many cancer types [
8‐
13]. Several recent reports have described that lncRNAs are important cis- or trans-regulators of genes activities through a variety of mechanisms. In the nucleus, lncRNAs can function as scaffolds to bring proteins to form ribonucleoprotein complexes and as guides to recruit chromatin-modifying complexes to target genes [
14‐
16]. In the cytoplasm, lncRNAs also can function as competing endogenous RNAs (ceRNAs) by competitively binding miRNAs, thereby modulating the derepression of miRNAs targets [
17,
18]. To date, only few studies have documented lncRNAs in HCC [
19‐
22] and the underlying mechanisms remain largely unknown.
SOX4, a member of the SOX (SRY-related HMG-box) gene family that containing the highly conserved HMG-domain responsible for specific DNA binding was identified as a common transcription factor that is involved in many cancer progression [
23‐
25]. However, its direct target genes that mediate cancer progression are not well defined.
In the current study, using gene expression profiling analysis we discovered a lncRNA HOXD-AS1 was upregulated in HCC and significantly correlated with poor prognosis of HCC patients. Meanwhile, we demonstrated that HOXD-AS1 promoted HCC metastasis by acting as a ceRNA to upregulate the expression of SOX4 and activated the expression of EZH2 and MMP2, two direct target genes of SOX4.
Methods
Cell culture
Human HCC cell lines SNU449, Huh28, SMMC-7721, Huh7, Hep3B, and human embryonic kidney cell line HEK-293 T were cultured in Dulbecco’s Modified Eagle’s Medium (DMEM), supplemented with 10% fetal bovine serum, 100U/ml penicillin, and 100 μg/ml streptomycin. All of cell lines were cultured in a humidified chamber with 5% CO2 at 37 °C. The cells were tested regularly for mycoplasma (R&D Systems’ new MycoProbe Mycoplasma Detection Kit).
Patients and specimens
Primary human HCC cancerous tissues (C) and corresponding adjacent noncancerous liver tissues (N) were acquired from the surgical specimen archives of Zhongshan Hospital, Shanghai, China. HCC was on the basis of CT, ultrasound or MRI characteristics and biochemistry (AFP serology and liver function enzymes), and was confirmed by histopathology, according to the American Association for the Study of Liver Diseases guidelines [
26]. The inclusion criteria were that the samples contained matched tumors (percentage of tumor cells >70%) and corresponding normal liver tissue (>5 cm laterally from the edge of the cancerous region), the patient had a single primary lesion, and no neoadjuvant therapy. The patients who had the history of other solid tumors, had the secondary liver cancer from other primary regions, or did not have the follow-up information were excluded from this study.
Tumor differentiation was graded using the Edmondson grading system. Clinical staging was performed according to the tumor-node-metastasis (TNM) staging system. The follow-up procedures and postoperative treatments were based on a uniform guideline and have been described previously [
27]. Overall survival (OS) was calculated from the date of surgery to the date of death. Data were censored at the last follow-up visit or at the time of a patient’s death without relapse. Ethical approval was obtained from the Zhongshan Hospital Research Ethics Committee, and written informed consent was obtained from each patient.
Microarray analysis
Total RNAs were isolated from the paired tissue samples of 14 HCC patients and purified using TRIzol reagent (Invitrogen, Carlsbad, CA) and RNeasy mini kit (Qiagen Inc, Valencia, CA) according to the manufacturer's protocol. Clinicopathological characteristics of the 14 HCC patients are provided in Additional file
1: Table S1. Following RNA isolation and cDNA synthesis, biotin-labeled cRNA was prepared by Enzo® BioArray
TM HighYield
TM RNA transcript label kit (Enzo life sciences, INC), then hybridized to the Affymetrix Gene Chip Human Genome U133 Plus 2.0 Array (Santa Clara, CA). Differentially expressed lncRNAs were analyzed as described previously [
28].
5’and 3’ rapid amplification of cDNA ends (RACE) analyses
5’RACE and 3’RACE analyses were performed with 5 μg of total RNA. The SMARTer™ RACE cDNA kit (Clontech) was used according to the manufacturer’s instructions. The gene specific primers used for PCR are presented in Additional file
2: Table S2.
Nuclear fractionation
Nuclear fractionation was performed with a PARIS™ Kit (Ambion, Austin, TX). For nuclear fractionation, 1 × 107 cells (Huh7 or SMMC-7721) were collected and resuspended in the cell fraction buffer and incubated on ice for 10 min. After centrifugation, supernatant and nuclear pellet were preserved for RNA extraction using a cell disruption buffer according to the manufacturer’s instructions.
Fluorescence in situ hybridization analysis
Probe for HOXD-AS1 was presented in Additional file
2: Table S2. SMMC-7721 and Huh7 cells were used for RNA-FISH analysis. Cell suspension was diluted to 100 cells/μL and seeded in the autoclaved glass slides. Slides were treated with 0.2 mol/L HCl for 20 min at room temperature, and washed in 2 × SSC buffer for 5 min. Slides were then incubated in 1%NaSCN for 30 min at 80 °C, and washed in 2 × SSC buffer for 5 min. Slides were incubated in 4% pepsase (2500 ~ 3000U/mg) for 10 min at 37 °C, and washed in 2 × SSC buffer for 5 min, and then fixed in 4% paraformaldehyde for 10 min at room temperature, washed in 2 × SSC buffer for 5 min. Dried the slides and prehybridized with prehybridization buffer for 2 h at 50 °C. Hybridization using HOXD-AS1 probe was performed overnight at 37 °C, and slides were rinsed in 2 × SSC with 0.3%NP-40 (pH7.0 ~ 7.5) for 30 min at 72 °C, washed in 2 × SSC with 0.3%NP-40 for 20 min at room temperature, and counterstained with 4’-6’diamidino-2-phenylindole (DAPI) for 5 min. The images were acquired using a confocal microscope (Leica).
RNA immunoprecipitation
RNA immunoprecipitation (RIP) experiments were performed with a Magna RIP™ RNA-Binding Protein Immunoprecipitation Kit (Millipore, Billerica, MA) according to the manufacturer’s instructions. AGO2 antibody was used for RIP (Cell Signaling Technology, Beverly, MA). Co-precipitated RNAs were detected by real-time PCR. Total RNAs (input controls) and IgG controls were assayed simultaneously to demonstrate that the detected signals were the result of RNAs specifically binding to AGO2. The gene-specific primers used for detecting HOXD-AS1 and SOX4 were presented in Additional file
2: Table S2.
Chromatin immunoprecipitation
A chromatin immunoprecipitation (ChIP) assay was performed using the EZ-ChIP
TM kit (Millipore, Billerica, MA) according to the manufacturer’s instructions. The following antibodies were utilized to immunoprecipitate crosslinked protein-DNA complexes: rabbit anti-STAT3 (10253-2-AP, Protein tech), rabbit anti-SOX4 (ARP38234, AVIVA) and normal rabbit IgG (12–370, Millipore). The immunoprecipitated DNA was purified for quantitative PCR analyses with specific primers. The primers were listed in Additional file
2: Table S2.
Pull down of biotin-coupled miRNA
Biotin was attached to the 3’-end of miR-130a-3p or negative control mimics. 1 × 10
6 HCC cells were transfected with 100 pmol Bi-miR-130a-3p, or negative control using Lipofectamine 2000 according to the manufacturer’s protocol. Forty-eight hours later, cells were pelleted at 1000 rpm. After washing twice with PBS, cell pellets were resuspended in 0.7 ml lysis buffer (5 mM MgCl
2, 100 mM KCl, 20 mM Tris (pH7.5), 0.3% NP-40, 50U of RNase OUT (Invitrogen, USA)), complete protease inhibitor cocktail (Roche Applied Science, IN), and incubated on ice for 10 min. The cell lysate was isolated by centrifugation at 10,000 g for 10 min. miRNA biotin pull down experiments were performed according to previous reports [
29]. The level of HOXD-AS1 or SOX4 in the pull down of Biotin-miR-130a-3p or negative control was quantified by real-time PCR.
Oligonucleotide transfection
Small interfering (si) RNA duplexes were designed and synthesized by Genepharma (Shanghai, China). MiR-130a-3p mimics, inhibitors and corresponding negative control (NC) were synthesized by Ribobio (Guangzhou, China). The sequences used are shown in Additional file
2: Table S2. Cells were transfected using Lipofectamine 2000.
Real-time PCR
Total RNA was extracted from cells using Trizol reagent (Invitrogen) according to the manufacturer’s instruction. A total of 1 μg of RNA was subjected to reverse transcription using HiScript II Q RT SuperMix for qPCR (+gDNA wiper) (Vazyme, Nanjing, China) and real-time PCR was carried out using AceQ qPCR SYBR Green Master Mix (Vazyme, Nanjing, China). The PCR reaction conditions were as follows: 95 °C for 15 s followed by 40 cycles of 95 °C for 5 s and 60 °C for 30s. The expression levels were normalized against those of the internal reference gene β-actin, the relative expression levels were determined by the following equation: 2-ΔΔCt (ΔCt = ΔCttarget - ΔCtβ-actin). A list of primers used for real-time PCR experiments were in Additional file
2: Table S2.
Western blot analysis
Proteins from cell lysates were prepared in 1 × sodium dodecyl sulfate buffer, separated by sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to a nitrocellulose membrane (Bio-Rad, Hercules, CA, USA). The membranes were blocked with 5% non-fat milk and incubated with the appropriate antibody. Antigen-antibody complex was detected with enhanced chemiluminescence reagents (Pierce, Rockford, IL). Antibodies used in this study were shown in Additional file
3: Table S3.
In vitro assays for migration and invasion
For transwell migration assay, 5 × 104 cells were plated in the top chamber of each insert (BD Biosciences, NJ, USA) with a non-coated membrane. For invasion assay, 8 × 104 cells were placed in the upper chamber of each Matrigel-coated insert (BD Biosciences, Billerica, MA, USA). After 18 h of incubation at 37 °C, cells that migrated or invaded were fixed and stained in dye solution containing 0.1% crystal violet and 20% methanol. The number of cells that had migrated or invaded was counted and imaged using an IX71 inverted microscope (Olympus Corp, Tokyo, Japan).
For in vivo metastasis assays, 3 × 106 Huh7 cells infected with shRNA-HOXD-AS1 or empty vector were suspended in 300 μL of serum-free DMEM per male BALB/c-nu/nu mice, and injected into nude mice through the tail vein (12 mice per group). After six weeks, mice were sacrificed, and their lungs were dissected, fixed with phosphate-buffered neutral formalin, and prepared for standard histological examination. Mice were handled and housed according to protocols approved by the Shanghai Medical Experimental Animal Care Commission.
Luciferase reporter assay
HEK-293 T cells were seeded in 96-well plates at a density of 5000 cells per well. After 24 h, the cells were transiently transfected with a mixture of 5 ng of pRL-CMV Renilla luciferase reporter, 50 ng of the firefly luciferase reporter, and 5pmol small RNA (siRNA or miRNA mimics). After 48 h, luciferase activity was measured using the dual-luciferase reporter assay system (Promega, Madison, WI, USA).
Statistical analysis
Results are presented as the means ± SD. Data were analyzed using Student’s t-test (two-tailed, with p < 0.05 considered significant) unless otherwise specified (paired t-test, χ2 test or Spearman correlation). Cumulative survival was evaluated using the Kaplan-Meier method (log-rank test). All the statistical analyses were performed using the SPSS 16.0 software (SPSS, Inc., Chicago, IL).
Discussion
In the present study, we identified a number of lncRNAs that are aberrantly expressed in human HCC. Among them, HOXD-AS1 was most upregulated in HCC. High level of HOXD-AS1 expression was associated with significantly reduced overall survival, it may represent an independent prognostic biomarker in patients with HCC. LncRNAs with differential expression in cancer were correlated with good or bad prognosis, making them promising prognostic biomarkers [
32]. For example, GAS5 was downregulated in several cancers [
33‐
35], and low level of GAS5 indicated a poor prognosis in HCC [
33]. Upregulation of HOTAIR was shown to be a marker of poor prognosis in a number of cancers, including HCC [
36‐
41]. Moreover, increased HOTAIR was a prognostic biomarker of tumor recurrence following liver transplantation [
42]. HOTTIP, HOXA13, and HEIH also act as independent prognostic factors associated with recurrence in HCC [
43,
44], suggesting that lncRNAs have considerable prognostic potential in HCC.
Here, we identified the mechanism responsible for HOXD-AS1 upregulation in HCC cells. We first found that STAT3 could specific interact with the HOXD-AS1 promoter through the binding site located -938 nt ~ -928 nt and illustrated the mechanism by which STAT3 upregulated the expression of HOXD-AS1. The present results noticed that the region between -2000 nt to -746 nt on the HOXD-AS1 promoter contained regulatory elements for the transcription of HOXD-AS1. However, only the region between -1158 nt ~ -746 nt had the STAT3 binding site and contributed to mediate transcription of HOXD-AS1. This result indicates that there may be additional transcriptional factors in the region between -2000 to -1159 that regulate the transcription of HOXD-AS1.
It has been described that lncRNAs play an important role in hepatocarcinogenesis [
45,
46]. In this study, we have shown that HOXD-AS1 can promote migration and invasion of HCC cells in vitro and contribute to distant lung metastasis in vivo. To our knowledge, this is the first study to report that HOXD-AS1 regulates cellular metastasis in HCC. In bladder cancer cells, knockdown of HOXD-AS1 could suppress cell proliferation and migration, and increased the rate of apoptotic cell [
47]. Additionally, HOXD-AS1 was involved in angiogenesis and inflammation and controlled cell differentiation in neuroblastoma [
48]. These findings further support the potential pro-oncogenic role of HOXD-AS1 in cancers. However, molecular mechanisms of HOXD-AS1 in pro-oncogenesis have not been clarified in human cancers, including HCC.
Based on global genome microarray data, we integrated gene co-expression patterns and identified positive correlation between HOXD-AS1 and SOX4 in HCC tissues. Synchronous change in expression levels of HOXD-AS1 and SOX4 was also detected in HCC cell lines. Previous studies reported that lncRNAs could crosstalk with protein-coding genes in a miRNA-dependent manner in HCC progression [
13,
49,
50]. In this study, we revealed that HOXD-AS1 could function as a ceRNA that sponge miRNA130a-3p to protect SOX4 against degradation. Importantly, Liao et al. observed SOX4 potentiates metastasis in HCC [
51]. The identification of a model of miRNA/lncRNA interaction may promote the understanding of the underlying mechanism of HCC metastasis.
We have also shown that 5 metastasis-related genes MMP13, MAPK1, HDAC1, EZH2, and MMP2 are required for HOXD-AS1 in the role of HCC metastasis. Among these five genes, we further found that EZH2 and MMP2 were the direct target genes of SOX4. Our results demonstrate that HOXD-AS1 is important for induction of SOX4, which result in enhanced expression of EZH2 and MMP2 and, in turn, lead to HCC metastasis. Additionally, the potential mechanism of MMP13, MAPK1, and HDAC1 regulated by HOXD-AS1 will be further analyze.
In conclusion, HOXD-AS1 is regulated by the transcriptional factor STAT3, it significantly upregulated in HCC and can be used as a prognosis biomarker for HCC patients. HOXD-AS1 functions as a ceRNA that competitively binds to miR-130a-3p, then upregulates SOX4 and promotes HCC cell metastasis. These findings provide a new mechanism for understanding HCC metastasis and HOXD-AS1 may be a potential candidate in the prevention and treatment of HCC.
Conclusions
In this study, we reported that a number of lncRNAs are differentially expressed in HCC tissues. One of these lncRNAs, HOXD-AS1 was markedly upregulated in HCC. The high expression level of HOXD-AS1 was associated with poor prognosis and high tumor node metastasis stage in HCC patients and it may represent an independent prognostic biomarker in patients with HCC. Moreover, our results suggested that the transcription factor STAT3 could combine to the promoter of HOXD-AS1 and activate the transcription of HOXD-AS1. We further found that HOXD-AS1 facilitated HCC metastasis in vitro and in vivo. Furthermore, we had evidenced that HOXD-AS1 shared miRNA response elements with SOX4. Overexpression of HOXD-AS1 competitively bound to miR-130a-3p that prevented SOX4 from miRNA-mediated degradation, thus activated the expression of EZH2 and MMP2 and facilitated HCC metastasis. In conclusion: HOXD-AS1 is a prognostic marker for HCC patients and it may play a pro-metastatic role in hepatocarcinogenesis.
Acknowledgements
Not applicable.