Long non-coding RNA RP11-284P20.2 promotes cell proliferation and invasion in hepatocellular carcinoma by recruiting EIF3b to induce c-met protein synthesis

Hepatocellular carcinoma (HCC) is the most commonly diagnosed liver cancer, which accounts for almost 90% of liver cancer-related morbidity worldwide [1]. Moreover, despite the advancement in standardized treatment strategies such as surgical resection, HCC results in >700,000 mortalities every year [1,2]. HCC is a typical inflammation-related cancer, which is an inflammation caused by chronic hepatitis B and C infections. Such inflammation can induce changes in the gene expression pattern in hepatocytes, thereby promoting the transformation of hepatocytes to tumor cells [1,2]. Growing number of studies suggests that the occurrence of HCC is associated with an aberrant activation of c-met, a transmembrane tyrosine kinase receptor of hepatocyte growth factor (HGF). The primary function of the c-met pathway is largely restricted to organ morphogenesis during development, with a limited role in damage repair and regeneration of tissue in adults [3,4]. However, abnormal activation of the HGF/c-met pathway has been found to stimulate cell proliferation, survival, migration, invasion, angiogenesis, and morphogenic differentiation. These pleiotropic effects of c-met are mainly associated with the interaction of c-met cytoplasmic domain with multiple proteins, such as epithelial growth factor receptor, chemokine receptor 4, vascular endothelial growth factor receptor 2, and fibroblast growth factor receptor [3,4].

Long non-coding RNAs (lncRNAs) are classified as the non-coding RNAs (ncRNAs) that are usually >200 nucleotides in length. lncRNAs were initially considered as “dark matter” in the transcription process; however, a large number of subsequent studies revealed that lncRNAs actively participate in multiple biological processes such as transcription, epigenetic regulation, mRNA stabilization as well as translation, and thus can drastically modulate the expression of various genes [5]. However, aberrant expression of some lncRNAs and their procarcinogenic effects have been reported in HCC and other types of cancers. For example, lncRNA–PDPK2P was highly expressed in HCC tissues, and its up-regulation was clinically associated with a larger tumor embolus, low differentiation rate, and poor survival. Mechanistically, it was identified that lncRNA–PDPK2P interacts with PDK1 and promotes HCC progression through the PDK1/AKT/caspase 3 signaling pathway [6].

In our laboratory, we recently performed high-throughput sequencing to identify the lncRNAs, which exhibit significant difference in their expression levels between the HCC and the adjacent paracancerous tissues. We discovered that a newly identified lncRNA named RP11-284P20.2 is up-regulated in HCC tissues, and more importantly is positively correlated with c-met protein expression level. RP11-284P20.2 is a pseudogene, which is located at chr9:13986175-13987909 and spans up to 1735 nucleotides (nt) in length. Since RP11-284P20.2 has never been reported to be associated with any type of cancer or other diseases, the regulatory effects of this novel lncRNA on the progression of HCC and c-met expression are completely unknown. Thus, in the present study we aimed to explore the functional role and downstream mechanism of RP11-284P20.2 in HCC cells.

HCC tissues and the adjacent paracancerous tissue samples (2 cm) were collected from 27 HCC patients who underwent surgical treatment at the Zhongshan Hospital of Xiamen University from a time period of January to November 2018. All the participating patients provided the written informed consent for using their tissues in this experimental study. The present study was carried out with the approval of the Ethics committee of the Zhongshan Hospital of Xiamen University. All these cases were histologically verified, and their clinical stage was assigned at the time of diagnosis using the TNM staging system of the American Joint Committee on Cancer. All the participating HCC patients had a history of chronic hepatitis B and none of them had received transcatheter arterial chemoembolization, immunization, or targeted anti-cancer therapy before the surgical operation.

Paraffin-embedded sections of the HCC tissue specimens were deparaffinized and heated in 10 mM citrate buffer (pH 6.0) at 97°C for 20 min to retrieve the antigens. Tissue sections were incubated with anti-c-met antibody (1:1000 dilution, ab74217; Abcam, Cambridge, MA, U.S.A.) at 4°C for overnight, followed by horseradish peroxidase (HRP)-labeled anti-rabbit IgG (1:200; Abcam) at room temperature for 30 min. Each section was immersed in 500 µl of working solution of diaminobenzidine for 3–10 min.

Six different HCC cells lines, including HepG2, Huh7, SMMC7721, SUN-398, SUN-449, and Bel-7402, were purchased from the American Type Culture Collection (Manassas, VA, U.S.A.). All the cell lines were maintained in Dulbecco’s modified Eagles’ medium (DMEM; Invitrogen, Carlsbad, CA, U.S.A.) supplemented with 10% fetal bovine serum (HyClone, Logan, Utah, U.S.A.) and 1% penicillin/streptomycin at 37°C in a humidified incubator supplied with a mixture of 95% air and 5% CO₂.

To quantify the expression levels of RP11-284P20.2 and c-met mRNA, total RNA from the tissues and cells was extracted using Trizol reagent (Invitrogen; Thermo Fisher Scientific, Inc.). RNA was reverse transcribed to generate cDNA using the Quantitect Reverse Transcriptase kit (Qiagen GmbH, Hilden, Germany). We then performed qPCR in a 7300 Sequence Detection System (Applied Biosystems, Foster City, CA, U.S.A.) using the SYBR® Green PCR kit (Applied Biosystems). Each reaction had 6 μl of cDNA, 0.22 μl of forward primer and reverse primer at 10 μM final concentration, 7.5 μl of PCR Master Mix, and 1.06 μl of deionized (Milli-Q grade) water. The sequence of the primers used is as follow: c-met forward primer: 5′-AGCAATGGGGAGTGTAAAGAGG-3′, c-met reverse primer: 5′-CCCAGTCTTGTACTCAGCAAC-3′. RP11-284P20.2 forward primer: 5′-AGACCATTCACCATGGAGTTCA-3′, RP11-284P20.2 reverse primer: 5′-AACTGATGACGAAGGCCAGG-3′. GAPDH forward primer: 5′-GGGTGTGAACCATGAGAAGT-3′, GAPDH reverse primer: 5′-TGAGTCCTTCCACGATACCAA-3′. The expression values are represented as the difference in Ct values normalized to GAPDH for each sample and the relative RNA expression was calculated using the 2^−ΔΔT method.

HepG2 and SMMC7721 cells were solubilized in RIPA lysis buffer (Invitrogen; Thermo Fisher Scientific, Inc.) to extract total protein. After boiling for 5–10 min, the protein samples extracted from different cell suspensions were separated by SDS-PAGE and then transferred onto a nitrocellulose membrane. The membrane was blocked with 5% non-fat dry milk prepared in Tris-buffer and incubated with the primary antibodies directed against c-met (1:1000 dilution; Santa Cruz Biotechnology, Inc., Santa Cruz, CA, U.S.A.) for 1 h at room temperature. The membrane was then incubated with horseradish peroxidase-conjugated anti-mouse IgG secondary antibody (Santa Cruz Biotechnology, Inc.), for 4 h at room temperature. The blot was developed using The ECL™ Western Blotting Detection Reagent (GE Healthcare) and the proteins were visualized by enhanced chemiluminescence (Amersham Biosciences).

HepG2 and SMMC7721 cells were seeded in a 6-well plate and cultured until the cells achieved 70% confluence. Short-interfering RNAs targeting the lncRNA RP11-284P20.2 and the non-targeting sequence (Scrambled RNA) were designed and synthesized by GenePharma (Shanghai, China). To increase c-met protein level in HepG2 and SMMC7721 cells, the sequence of the CDS region of c-met gene (NM_001127500, https://www.ncbi.nlm.nih.gov/nuccore/NM_001127500.3) was also synthesized by GenePharma Company and inserted into an expression vector (pEGFP-C1). The empty vector without the c-met gene sequence was used as the negative control. The cells were transfected with the above-mentioned siRNAs and c-met expression vector or empty plasmid using Lipofectamine 2000 (Thermo Fisher Scientific, Bridgewater, NJ, U.S.A.) according to the manufacturer’s instructions. Alterations in the expression of RP11-284P20.2 and c-met mRNA in HepG2 and SMMC7721 cells were confirmed by qPCR analysis before conducting further experiments.

The HCC cells were seeded into the wells of 96-well plates at a concentration of 1 × 10⁵ cells per well. In total, 100 μl of the cell suspension prepared in culture medium was inoculated in each well and the plate was incubated for 24 h. In total, 10 μl CCK-8 reagent (Dojindo Molecular Technologies, Inc., Tokyo, Japan) was added to each well, just 1 h before the end of incubation period. The absorbance value was measured for each well at OD 490 nm using an enzyme immunoassay analyzer.

The HCC cells were dual-stained with Alexa Fluor 488–Annexin V and propidium iodide (PI) using an Annexin V-fluorescein isothiocyanate / PI Apoptosis Detection Kit (Kaiji Biological Inc., Nanjing, China), according to the manufacturer’s instructions. The rate of apoptosis was analyzed using the dual laser flow cytometer (Becton Dickinson, San Jose, CA, U.S.A.) and estimated using the ModFit LT software (Verity Software House, Topsham, ME, U.S.A.).

HepG2 and SMMC7721 cells were plated on 6-well plates and were allowed to grow until 90% of the cells were confluent. Using a 1 ml pipette tip, a line was scratched on the top of the cells layer. The plates were examined immediately and 24 h after the scratching was performed. The cell migration rate was calculated based on the movement of cells from the initial point to the final distance travelled by the migratory cells during the 24-h incubation period.

A transwell (8-mm pore size; Millipore, Bedford, MA, U.S.A.) was used for evaluating the cell invasion ability of HCC cells. The upper chamber of the transwell was initially coated with Matrigel (BD Biosciences, Franklin Lakes, NJ, U.S.A.). Serum-free medium and complete medium were added to the upper and lower chambers, respectively. After culturing the cells for 24 h, the top of the membrane was wiped off and the bottom layer of the cells were stained using 0.1% Crystal Violet prepared in 4% paraformaldehyde (PFA). The invading cells were then quantified by counting the cells in 10 random fields under a light microscope (E200; Nikon Corporation, Tokyo, Japan).

HCC cells were cultured in complete culture medium for about 10 days until the colonies were clearly observed. Colonies were fixed with methanol for 10 min and then stained with 0.1% Crystal Violet solution (Sigma-Aldrich) for 5 min. The colonies were counted using the ImageJ software.

To determine the interaction between RP11-284P20.2 and c-met mRNA, the RNA corresponding to RP11-284P20.2 (sense) and RP11-284P20.2-AS (anti-sense) regions were in vitro transcribed and biotin-labeled using T7 RNA polymerase (Roche) and Biotin RNA Labeling Mix (Roche). RP11-284P20.2 RNAs were incubated with the HCC cell lysates and extracted using streptavidin-coupled magnetic beads provided in the Pierce™ Magnetic RNA Pull-Down Kit (Pierce, Rockford, IL, U.S.A.) according to the manufacturer’s instructions. RNA–RNA complexes were eluted using salt solution and purified using TRIzol reagent. qPCR was performed to detect the enrichment of c-met mRNA in the retrieved RNA–RNA complexes.

After being treated with DNase I (TaKaRa, Japan) to remove DNA and purified using RNeasy Mini Kit (Qiagen, Shenzhen, China), 1 mg of total RNA was incubated with 3 mg of RP11-284P20.2 (sense) and RP11-284P20.2-AS (anti-sense) for overnight at 4°C. To determine the interaction between RP11-284P20.2 and the eukaryotic translation initiation factor 3b (EIF3b), RNA–protein complexes were isolated using the streptavidin agarose beads (Invitrogen, U.S.A.). The EIF3b protein in the RNA–protein complex was detected using Western blotting as described above.

HepG2 and SMMC7721 cells were lysed using the RIP buffer (Millipore, Billerica, MA, U.S.A.). After centrifugation, the supernatants were incubated with magnetic beads conjugated with anti-EIF3b antibody (Santa Cruz Biotechnology, CA, U.S.A.) for overnight at 4°C. Non-conjugated mouse IgG (Millipore, Billerica, MA, U.S.A.) was used as a negative control. Finally, the isolated and purified RNAs were further used to quantify RP11-284P20.2 using the qPCR analysis.

In the present study, we performed RNA FISH assay in combination with immunofluorescence (IF) detection to identify if the lncRNA RP11-284P20.2 and EIF3b protein colocalizes with each other. The RNA oligonucleotides (probes:5′-AGTGGGTGATTGACTCGGTGAACGCT-3′) targeting RP11-284P20.2 were pre-designed (Biosearch Technologies Inc., Petaluma, CA, U.S.A.). HepG2 and SMMC7721 cells were initially fixed using 3.7% formaldehyde in PBS (pH 7.4) for 10 min at room temperature and then permeabilized using 70% ethyl alcohol at 4°C for least 1 h. Probes were allowed to hybridize to the fixed cells according to the manufacturer’s instructions (Biosearch Technologies Inc., Petaluma, CA, U.S.A.). Later, an anti-EIF3b primary antibody (1:1000 dilution; Santa Cruz Biotechnology) was applied to the cells followed by an incubation step for at least 2 h at 37°C. In the end, the cells were stained with DAPI (4′,6-diamidino-2-phenylindole; Sigma, St Louis, MO, U.S.A.) and the examined using a laser confocal microscope (Leica SP5, Heidelberg, Germany).

The results are presented as the mean ± SD of three independent biological replicates. An intergroup comparison was carried out using the Student’s t-test and the statistical variance was estimated using the one-way analysis of variance (ANOVA) test (SPSS13.0 software; Chicago, IL, U.S.A.), according to data type. Correlation analysis was performed using the Spearman’s test. Chi square test or Fisher exact probability methods were used to determine the relationship between the level of RP11-284P20.2 and the clinicopathological characteristics of HCC. When P < 0.05, the differences were considered to be statistically significant.

In the present study, we initially quantified the expression level of RP11-284P20.2 and c-met mRNA in the HCC and the adjacent paracancerous tissues using qPCR analysis. We observed a significant up-regulation in the expression of both RP11-284P20.2 and c-met mRNA in HCC tissues (P < 0.01, Figure 1A). According to the average expression level of RP11-284P20.2, HCC tissues were segregated into two groups, one with high (n = 13) and another with low RP11-284P20.2 expression level (n = 14), respectively. HCC with high expression of RP11-284P20.2 was associated with bigger tumor size of HCC (> 5 cm, P < 0.05) than HCC with low expression of RP11-284P20.2 (Table 1). No significant correlation was observed between the RP11-284P20.2 and c-met mRNA expression levels as indicated by Spearman analysis (P = 0.057, r = 0.362; Figure 1B). We also performed histopathological examination of the HCC tissues with low and high RP11-284P20.2 expression levels. Here, we found that the HCC tissues with high RP11-284P20.2 expression level exhibited an increase in c-met protein level compared with the HCC tissues with low RP11-284P20.2 expression (Figure 1C).

We performed qPCR analysis to evaluate the expression of RP11-284P20.2 and c-met mRNA in different HCC cell lines including HepG2, Huh7, SMMC7721, SUN-398, SUN-449, and Bel-7402. We observed that the HCC cell line SUN-449 exhibited the highest expression of c-met mRNA, while SUN-398 exhibited the lowest c-met mRNA expression level among all the tested cell lines (Figure 2A). These results indicate that the c-met mRNA expression is highly variable in SUN cell lines. Moreover, HepG2 and SMMC7721 cell lines exhibited medium expression levels of c-met mRNA among these HCC cell lines. We also observed that the SMMC7721 cells exhibited the highest expression of RP11-284P20.2, followed by SUN-449 and HepG2 cells. In the present study, we further investigated the effect of RP11-284P20.2 on c-met protein expression levels in HepG2 and SMMC7721 cells. Thus, upon transfection with three different RP11-284P20.2-siRNAs, we observed down-regulation of RP11-284P20.2 expression, with the most profound reduction in the expression of RP11-284P20.2 caused by RP11-284P20.2-siRNA1 (P < 0.01, Figure 2B). The knockdown of RP11-284P20.2 by siRNA1 was significantly correlated with c-met protein expression levels in HepG2 (P < 0.05) and SMMC7721 cells (P < 0.01, Figure 2C), but had no significant correlation with c-met mRNA expression level (data not shown).

Since RP11-284P20.2 is correlated with the c-met protein expression level in HCC cells, it is possible that RP11-284P20.2 modulates various characteristics of HCC cells, including cell viability, apoptosis, cell migration, invasion, and colony formation. Thus, upon RP11-284P20.2 knockdown, a dramatic decrease was observed in the cell viability of HepG2 and SMMC7721 (P < 0.01, Figure 3A). Conversely, rate of apoptosis of HepG2 and SMMC7721 cells increased upon depletion of RP11-284P20.2 (P < 0.01 or P < 0.001, Figure 3B). However, silencing of RP11-284P20.2 inhibited the migration and invasion of HepG2 and SMMC7721 cells (P < 0.01 or P < 0.001, Figure 3C,D). The colony formation rate of HepG2 and SMMC7721 cells was also undermined upon RP11-284P20.2 knockdown (P < 0.01 or P < 0.001, Figure 3E).

Bioinformatics analysis (http://annolnc.cbi.pku.edu.cn/) showed that RP11-284P20.2 contains several open reading frames; however, it lacks polyadenylation sites, which is probably an importance cause that RP11-284P20.2 is unable to be translated to protein (Figure 4A). Using bioinformatics analysis (http://rna.informatik.uni-freiburg.de/IntaRNA/Input.jsp), we identified an interaction between RP11-284P20.2 and c-met mRNA via complementary base pairing (Figure 4B). We further performed RNA pull-down assay to confirm the interaction between RP11-284P20.2 and c-met mRNA (Figure 4C). Bioinformatics analysis (http://service.tartaglialab.com/page/catrapid_group) also revealed an interaction between RP11-284P20.2 and EIF3b protein (Figure 4D). As indicated by the interaction matrix, the sequence near the 1600 bp locus of RP11-284P20.2 had high affinity towards the region of 200–700 amino acids of EIF3b protein (Figure 4E). To determine and confirm the interaction between RP11-284P20.2 and EIF3b protein, we performed FISH + IF, RIP and RNA pull-down assays. In the results obtained from the FISH + IF assay, we observed an overlapping fluorescence signal from both, RP11-284P20.2 and EIF3b (Figure 4F). Moreover, we also detected RP11-284P20.2 in EIF3b protein–RNA complex in the RIP assay (Figure 4G) and EIF3b protein in RP11-284P20.2–protein complex in the RNA pull-down assay (Figure 4H).

We performed rescue experiments to determine whether the regulatory effects of RP11-284P20.2 on HCC growth properties are dependent on c-met. We observed that transfection of HepG2 and SMMC7721 cells with the c-met expression vector lead to an increase in the c-met mRNA and c-met protein expression level (P < 0.01 or P < 0.001, Figure 5A,B). However, silencing of RP11-284P20.2 attenuated the increase of c-met protein expression level caused the expression vesctor (P < 0.01 versus c-met overexpression group, Figure 5B). Further, we also observed that RP11-284P20.2 knockdown combined with c-met overexpression promoted cell viability (P < 0.01, Figure 5C), suppressed apoptosis rate (P < 0.05 or P < 0.01, Figure 5D), and elevates cell migration (P < 0.01 or P < 0.001, Figure 5E), invasion (P < 0.001, Figure 5F), and colony formation rates (P < 0.05 or P < 0.01, Figure 5G), compared with RP11-284P20.2 knockdown alone.

We found that the lncRNA RP11-284P20.2 promotes the growth and invasion of HCC cells. Furthermore, we revealed that the cancer-promoting effects of RP11-284P20.2 are associated with the up-regulation of c-met protein expression level. RP11-284P20.2 gene contains several open reading frames, but it lacks polyadenylation site, a key sequence recognized by polyadenylate polymerase, which is responsible for adding polyadenylation [poly(A)] tail to the 3′UTR of mRNA. Poly(A) tail prevents the degradation of mRNA and promotes its transport from nucleus to cytoplasm for further translation process [7,8]. Without poly(A) tail, it is assumed that the lncRNA RP11-284P20.2 can be readily degraded in most of the cells. However, we found that the expression level of RP11-284P20.2 was notably up-regulated in HCC tissues, while the underlying mechanism that resulted in this up-regulation is unclear. LncRNA MALAT1 and MEN β also lack poly(A) tails; however, they form a special triple helical structure that stabilizes such two lncRBAs [9]. Since RP11-284P20.2 is a pseudogene, which cannot be translated to a protein, thus it is classified as an lncRNA.

Recent reports have unveiled several lncRNAs that play oncogenic or tumor-suppressive roles in HCC. For instance, a lncRNA named LOC105369748 was found to overexpress in HCC tissues and further promote the proliferation, migration, invasion, and epithelial-to-mesenchymal transition of HCC cells [10]. Similarly, FLVCR1 antisense RNA 1 (FLVCR1-AS1) is another lncRNA was reported to be up-regulated in HCC tissues. FLVCR1-AS1 was shown to act as a sponge for the miRNA-513c, which in turn leads to an increase in c-met expression level, resulting in enhanced cell proliferation and invasion of HCC cells [11]. In contrast, lncRNA DGCR5 (DiGeorge syndrome critical region gene 5) was found to be down-regulated in HCC tissues. Overexpressing the lncRNA DGCR5 inhibits the development of HCC by targeting the miRNA–346/KLF14 axis [12]. In the present study, we demonstrated that the knockdown of RP11-284P20.2 is associated with suppressed viability, migration, invasion and colony formation and increased apoptosis of HCC cells. These data suggest that RP11-284P20.2 promotes HCC development.

During the histopathological examination, we found that the HCC tissues with high RP11-284P20.2 expression exhibits significantly higher c-met protein expression level compared with the HCC tissues with low RP11-284P20.2 expression. However, we did not observe positive correlation between RP11-284P20.2 and c-met mRNA expression level. These data suggest that RP11-284P20.2 is associated with the regulation of c-met protein expression level rather than c-met mRNA expression level. Various biological functions of lncRNAs have been identified. For instance, lncRNAs can act as competing endogenous RNAs (ceRNA) of endogenous miRNAs, which prevents the binding of the miRNAs to their target mRNAs [12]. In addition, lncRNAs are also associated with epigenetic regulation as they can interact with several methylases and acetylases [13]. These regulatory functions of lncRNAs influence the mRNA expression of the target genes, consequently modulating their protein expression levels. Moreover, lncRNAs are able to affect protein expression level independently, without influencing the mRNA expression level, by predominantly regulating mRNA translation and protein stability [14,15]. In the present study, we identified that the lncRNA RP11-284P20.2 interacts with c-met mRNA via complementary base pairing, and also found that RP11-284P20.2 binds to EIF3b protein with high affinity. Since EIF3b is required for several steps in the initiation of protein synthesis, we could state that with the help of RP11-284P20.2, EIF3b interacts with c-met mRNA, thereby promoting c-met protein synthesis.

Furthermore, a few of studies have reported that lncRNAs are involved in the regulation of mRNA translation. Zhang et al. reported that the lncRNA ARAP1-AS1 drives the translation of proto-oncogene c-myc by directly interacting with PSF protein and further affect the internal ribosome entry site (IRES) function. Up-regulation of c-myc driven by ARAP1-AS1 facilitates the development and progression of cervical cancer [16]. Another lncRNA GMAN is shown to directly interact with EIF4b and promote its phosphorylation and stability [17]. As a result, the translation of several anti-apoptosis-related proteins was enhanced. In our study, we found that the lncRNA RP11-284P20.2 recruits EIF3b to c-met mRNA, which probably induces c-met translation. However, we did not knockdown EIF3b to further determine whether the regulatory effect of RP11-284P20.2 on c-met is dependent on EIF3b. Since EIF3b is a key protein required during the translation process, silencing of EIF3b could lead to the dysfunctional translation of a large number of mRNAs.

Further, to determine whether the effects of RP11-284P20.2 on multiple properties of HCC rely on c-met protein expression, we performed a rescue experiment by overexpressing c-met along with RP11-284P20.2 knockdown. We observed that an increase in c-met expression restored the viability, migration, invasion, and colony formation abilities of the HCC cells, which were undermined upon RP11-284P20.2 knockdown. These data suggest that c-met mediates most of the cancer-promoting effects of HCC.

In summary, we found that the lncRNA RP11-284P20.2 promotes growth and invasion of HCC cells. Using FISH+IF, RIP, and RNA pull-down assays, we revealed that RP11-284P20.2 facilitates the interaction between EIF3b and c-met mRNA, which probably leads to an enhanced c-met protein synthesis. With the help of a rescue experiment, we also confirmed that c-met mediates most of the cancer-promoting effects of HCC. Therefore, we conclude that the lncRNA RP11-284P20.2 promotes cell proliferation and invasion in HCC by recruiting EIF3b to enhance c-met translation.

The authors declare that there are no competing interests associated with the manuscript.

This study was supported by the Youth Research Project of Fujian Provincial Health and Family Planning Commission [grant number 2017-2-101] and Natural Science Foundation of Fujian Province (CN) [grant number 2018J01398].

Qin-Liang Fang, Jian-Yin Zhou, and Yu Xiong carried out the studies, participated in collecting data, and drafted the manuscript. Yun-Tong Li, Cheng-Rong Xie, and Fu-Qiang Wang performed the statistical analysis and participated in its design. Zhen-Yu Yin and Guo-Hui Luo helped to draft the manuscript. All authors read and approved the final manuscript.

The datasets generated/analyzed in the present study are available upon reasonable request from the corresponding author.

EIF3b

eukaryotic translation initiation factor 3b

FISH

fluorescence in situ hybridization

HCC

hepatocellular carcinoma

HGF

hepatocyte growth factor

IF

immunofluorescence

lncRNA

long non-coding RNA

ncRNA

non-coding RNA

RIP

RNA immunoprecipitation