Abstract
Human hepatocellular carcinoma (HCC) is a malignant cancer. It is a challenge to develop anti-HCC drugs due to HCC's extreme aggressiveness and with the sensitivity of the liver to show severe adverse effects. More importantly, the precise mechanisms causing HCC pathogenicity are not known. Our previous study disclosed Nogo-B as a reticulon 4 (Rtn4) family member. In the present study, we first identified that Nogo-B played a critical role in HCC progression. We found, via in vitro and in vivo assays, that Nogo-B was expressed aberrantly in primary HCC tumor tissues and immortal HCC cells but was relatively scarce in the normal liver tissues or cells. Nogo-B knockout, via the CRISPR-Cas9 technique, resulted in significant suppression of HCC cell proliferation and tumor growth. Next-generation sequencing analysis showed that Nogo-B knockout have effects on interleukin-6 (IL-6) signaling pathway. Furthermore, we observed that IL-6 induced phosphorylation of STAT3 (pSTAT3) in wild-type HCC cells, but Nogo-B knockout could reduce IL-6–induced increase of pSTAT3, supporting that Nogo-B affects HCC tumor progression possibly via regulating the IL-6/STAT3 signaling pathway. In conclusion, Nogo-B is expressed aberrantly in HCCs and plays an oncogenic role. These findings support that Nogo-B may be a novel anti-HCC therapeutic target.
Abbreviations: HCC, hepatocellular carcinoma; IHC, immunohistochemistry; RTN, reticulon; IL-6, interleukin-6; H&E, hematoxylin and eosin; STAT3, signal transducer and activator of transcription factor 3; WT, wild type; FBS, fetal bovine serum; DMEM, Dulbecco's modified Eagle's medium
Introduction
Liver cancer is the sixth most common cancer and the second leading cause of cancer deaths worldwide, with high incidences in sub-Saharan Africa and Southeast Asia [1], [2], [3]. Most (70%-90%) of these liver cancers belong to malignant hepatocellular carcinoma (HCC) [2], [3]. Great efforts have been made in the treatment of HCC progression, particularly in HCC recurrence and metastasis after surgery. However, the HCC treatments are limited due to severe toxic sideeffects, with sorafenib being the only FDA-approved anti-HCC drug [4]. The HCC-associated molecular mechanisms scarcely are known. This hinders scientists in their search efforts for new anti-HCC drugs.
There are a variety of genes and their associated signaling pathways that affect HCC progression [4], including the discovery of the involvement of novel genes like nuclear receptor NR4A2 and reticulon 4B (Nogo-B) [5], [6], [7]. Previously, we cloned Nogo-B and found that Nogo-B was a reticulon (Rtn) family member [5]. Nogo-B and the Rtn family, including Rtn1, Rtn2, Rtn3 and Rtn4, are evolutionarily conserved and are primarily localized in the endoplasmic reticulum [6], [8]. Nogo-B is encoded by gene Rtn4, along with two other isoforms, Nogo-A and Nogo-C. Each isoform displays differences in distribution and function. Nogo-A is expressed highly in the central nervous system and acts as an inhibitor of axonal growth and repair [9], [10]. Nogo-C is expressed more in differentiated muscle fibers and brains [11], [12], [13]. Nogo-C’s functions are not clear, but we found that it was related to HCC growth byacting as a tumor suppressor [14].
Nogo-B is expressed widely in tissues like liver, kidney, and lung [15], [16], [17]. Nogo-B plays critical roles in vascular remodeling [18], cell migration and proliferation [19], [20], [21], and the epithelial-mesenchymal transition [22]. However, its role in the liver and liver cancers is not fully understood. Growing evidence shows that Nogo-B is strongly related to the liver. In mouse models, Nogo-B was reported to promote liver fibrosis through activation of the transforming growth factor–β signaling pathway [17]. As reported, Nogo-B also increased hepatocyte proliferation induced by hepatocyte growth factor and decreased proliferation suppression induced by transforming growth factor–β1 [23], with its absence facilitating cell apoptosis in hepatic stellate cells [17], [24]. However, there is little known about the role of Nogo-B in HCC progression and metastasis.
Our preliminary data suggested that Nogo-B might play a role in HCC progression. In the present study, we further investigated the expression pattern and the biological functions of Nogo-B in HCC. We found that Nogo-B was overexpressed highly in HCC tissues/cells in comparison with that in normal liver tissues/cells. We further demonstrated that Nogo-B played a critical oncogenic role in growth and metastasis of HCC cells in vitro and xenograft tumors model in vivo. Furthermore, Nogo-B knockout inhibited HCC cells proliferation, as well as attenuated tumorigenicity and metastasis. These findings suggest that Nogo-B can be considered as a potential therapeutic target for the development of anti-HCC drugs.
Methods
Tumor Specimens
Surgical resection specimens, including primary HCC tumor tissues and the neighboring nontumorous liver tissues, were obtained from HCC patients at the Qidong Liver Cancer Institute (Jiangsu, China) and Zhongshan Hospital (Shanghai, China). All samples were immediately frozen in liquid nitrogen after surgery and later stored at −80°C before further analysis.
Cell Culture and Transfection
Human HCC cell lines (HepG2, Hep3B, SMMC-7721, QGY- 7703, MHCC-97H, and HCC-LM3), human glioma cell line U251, and mouse embryonic fibroblast cell line NIH 3T3 were cultured and maintained in Dulbecco's modified Eagle's medium (DMEM) with 10% (v/v) fetal bovine serum (FBS) (Gibco, USA) at 37°C. Cell transfection was performed following the manufacturer's instructions. For Nogo-B knockout, the guide RNA sequence was CACGAACTGGTACTTGAACG, which was designed using the website software from Massachusetts Institute of Technology (USA) (http://crispr.mit.edu/). The plasmid pGK1.1 used was obtained from Dr. Zhang's laboratory (Massachusetts Institute of Technology, USA). Western blot assay was applied to select the cells with Nogo-B knockout. DNA sequencing was eventually used for further confirmation. Genomic DNA was extracted. A 699-bp polymerase chain reaction (PCR) amplicon flanking the CRSPR-Cas9–targeted sites (CGTTCAAGTACCAGTTCGTG) was generated using the primers 5′-AGTCCCTGCCCTCCCCTGGGGAGGGTGAGTCACG-3′ and 5′-GGGAGCTTGGAGGGCGAGACTGCGGCAGCAGACAG-3′. The PCR product was purified and ligated into pMD18-T vector (developed by Dr. TaKaRa) following the manufacturer's protocol. The recombinant plasmids were introduced into competent DH5α cells with ampicillin used for selection. Plasmid DNA was extracted and sequenced across the insert using one of the PCR primers.
Colony Formation Assay and Cell Proliferation Assay
Cells were seeded in six-well plates (1000 cells/well). After incubation for 12 days, the colonies that formed were washed with cold PBS buffer, fixed with 4% paraformaldehyde for 15 minutes, and then stained with 0.2% (w/v) crystal violet for 30 minutes. The colonies were quantified with the Image J software. A cell proliferation assay was performed using Cell Counting Kit-8 according to the manufacturer's protocol (Dojindo Laboratories, Japan). Eight hundred cells per well were grown in 96-well plates and incubated for different times. Cells were treated and stained. Fluorescence was measured at each time point.
Western Blotting
The cell and tissue lysates were subjected to sodium dodecyl sulfate polyacrylamide gel electrophoresis. Proteins were transferred onto nitrocellulose membranes (Millipore, Bedford, MA). These membranes were then blocked in Tris-buffered saline (pH 7.4) containing 5% nonfat milk and 0.1% Tween-20, incubated with primary antibodies for 2 hours at room temperature (RT), washed three times (5 minutes each) in Tris-buffered saline containing 0.1% Tween-20, and followed by incubation with the secondary antibody for 1 hour at RT. The membranes were washed three times (15 minutes each). Immunoreactivity was visualized by enhanced chemiluminescence (GE Healthcare, NJ). The antibodies used include anti-STAT3 (ab68153, Abcam), anti-pSTAT3 (S727) (ab32143, Abcam), anti-Nogo (N-18) (sc-11,027, Santa Cruz), Nogo-A (ab620024, Abcam), and β-actin (cat. # 612656, BD Biosciences).
Quantitative Reverse Transcriptase Polymerase Chain Reaction (qRT-PCR) in Clinical HCC Specimens
Total RNA was extracted from the frozen pulverized tissues using Trizol (Invitrogen), and cDNA synthesis was performed using the Superscript RT kit (TOYOBO, Japan) according to the manufacturer's instructions. qRT-PCR analysis was conducted using the SYBR Green Supermix kit (Toyobo, Osaka, Japan) in combination with QuantStudio 7 (Life Technologies, USA) according to the manufacturer’s instructions. With the paired primers, Nogo-B forward: 5′-GCTCCTCGGGCTCAGTGGTTGTTGAC-3′ and reverse: 5′-TGGCCTTCATCTGATTTCTGGATAGC-3′, β2-microglobulin forward: 5′-ATGAGTATGCCTGCCGTGTGAAC-3′, and reverse: 5′-TGTGGAGCAACCTGCTCAGATAC-3′, A2M forward: 5′-CTATGATTACTACGAGACGGAT-3′, and reverse: 5′-CACTTTTCAGCCTTGTGGTC-3′, CRP forward: 5′-TCAAAGCCTTCACTGTGTGC-3′, and reverse: 5′-AGGTGAGTTGGATCCACAGG-3′, VEGF forward: 5′-GGCCTCTGAAACCATGAACT-3′, and reverse: 5′-ATGCTGCAGGAAGCTCATCT-3′, SOCS3 forward: 5′-CCTGCGCCTCAAGACCTTC-3′, and reverse: 5′-GTCACTGCGCTCCAGTAGAA-3′, respectively.
Cell Migration and Invasion Assay
For cell migration assay, cells (2 × 104 cells/well) were seeded into the upper chambers of wells in 24-well plates that had 6.5-mm polycarbonate membranes with an 8-μm pore size (Corning Inc., NY). For the cell invasion assay, Matrigel matrix in DMEM(1:5) was coated into the upper chambers. The DMEM was removed carefully when the Matrigel matrix was solidified 12 hours later. A total of 2 × 104 cells suspended in serum-free media were seeded into the upper chambers. Medium with 5% FBS was added to the lower chambers as the chemoattractants. Thirty hours later, cells remaining on the upper surfaces of the membranes were removed, with the others that invaded through the membrane filters being fixed with 4% paraformaldehyde for 15 minutes, stained with 0.2% (w/v) crystal violet for 30 minutes, and photographed.
Tumor Xenograft Assay
For tumor growth, wild-type (WT) and Nogo-B knockout (KO) SMMC-7721 cells (2 × 106 cells in 200 μl PBS) were injected subcutaneously into the right flanks of nude mice 6 weeks old; mice were sacrificed at day 35. Tumors were weighed and the volumes measured. For tumor imaging, QGY-7703 (WT and KO) cells transduced with luciferase viruses were injected subcutaneously into the flanks of nude mice. Tumors were removed once reaching approximately 1.5 cm in diameter and cut into 1- to 2-mm3 pieces, each of which was implanted into the livers of nude mice. Mice were monitored and imaged by Caliper IVIS Lumina II (LB 983 NC100, Berthold Technologies, Germany) on week 1, 3, and 5. The luciferase imaging area was measured by Image J software. Mice were sacrificed at week 8, with tumors, lungs, and livers being removed. Liver intrahepatic metastatic sites and lung metastatic sites were checked and calculated.
Immunofluorescence Staining
Cells were plated previously on chamber slides for 24 hours, then treated with interleukin-6 (IL-6) (R&D systems) for 20 minutes after being starved without serum for 24 hours, and then fixed in 4% paraformaldehyde for 15 minutes at 37°C. Cells were permeabilized with 0.2% Triton X-100 in PBS for 5 minutes and blocked with PBS containing 10% FBS at RT for 1 hour. Cells were incubated with primary antibodies (Supplementary Figure 1B) at 4°C overnight and then incubated with secondary antibody and DAPI (Sigma) for 2 hours. Samples were mounted in mounting medium with images taken and analyzed using the Nikon Ni (Nikon, Japan).
Supplementary Figure 1.
(A) For SMMC-7721 cells, Nogo-B was undetected or at a very low level in colonies 1, 2, 3, 4, 6, 8, 9, 10, 12, and 13. Colonies 2, 3, and 4 were chosen for further assays. (B) For QGY-7703 cells, Nogo-B was undetectable in colonies 1, 2, 3, 4, 5, 7, 8, and 9. Colonies 3, 5, and 7 were chosen for further assays. (C) For HCC-LM3 cells, Nogo-B was not detected in colonies 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, and 12. Colonies 4, 5, and 6 were chosen for further assays. (D) The gene structure of Nogo-B in human genome was shown. (E) Nogo-B knockout by CRISPR-Cas9 technology in HCC-LM3 cells was confirmed by DNA sequencing. (F) Western blot analysis of Nogo-B protein level in HCC-LM3 cells with Nogo-B knockout.
Immunohistochemistry (IHC)
For IHC staining, paraffin-embedded tissues were sectioned, mounted on positively charged glass slides (Thermo Scientific, MA), baked, deparaffinized, and rehydrated. Antigen retrieval was completed by heating slides in citrate buffer (10 mmol/L; pH 6.0) for 20 minutes in a pressure cooker. Sections were incubated with primary antibodies overnight at 4°C (Supplementary Figure 1B), washed with PBS,incubated with secondary antibodies (EarthOx, CA) at RT for 30 minutes, and then visualized with an Eclipse Ci-S (Nikon, Japan).
Statistical Analysis
Quantitative data were expressed as mean ± SE. For comparisons between groups, the two-tailed Student's ttest was used, with P < .05 being statistically significant.
Results
Nogo-B Is Overexpressed in HCCs and Associated with HCC Progression
To investigate the expression profile of Nogo-B, we first investigated the existence of Nogo-A and Nogo-B in eight HCC cell lines and two paired HCC tissues (Figure 1A). We found that Nogo-A was detected only slightly in NIH-3T3 and U251 cells. However, Nogo-B was expressed highly in seven out of eight HCC cell lines and all of the two HCC tissues but was relatively scarce in normal liver tissues. We also examined the expression of Nogo-B at the mRNA level in140 pairs of HCC tissues by qRT-PCR. We found that Nogo-B was expressed more highly (P < .001, Figure 1B) in 113 out of 140 HCC tissues (80.7%, Figure 1C) than in the neighboring nontumorous liver tissues. Furthermore, via the clinical-pathological correlation analysis, we observed that the overexpression of Nogo-B mRNA levels significantly correlated with pathological differentiation (P = .003), advanced tumor–lymph node–metastasis stages (P = .011), and larger tumor sizes (P = .034) (Table 1). We subsequently confirmed the high expression of Nogo-B at the protein level in 14 pairs of tissues (Figure 1, D and E). Western blot analysis showed that Nogo-B protein was expressed aberrantly in 12 out of 14 HCC tissues (85.7%) when compared withnontumorous liver tissues (Figure 1, D and E). These results strongly support that Nogo-B most likely plays a critical role in HCC progression.
Figure 1.
The expression of Nogo-B is upregulated in primary HCC tumor tissues and HCC cell lines. (A) The expressions of Nogo-A and Nogo-B were assayed by Western blotting in HepG2, Hep3B, SMMC-7721, QGY-7703, MHCC-97H, HCC-LM3, NIH-3T3, and U251 cells plus two representative pairs of HCC and adjacent nontumor liver tissues. Nogo-A was only detected slightly in NIH-3T3 and U251 cells. However, Nogo-B was expressed highly in most HCC cells and HCC tissues, except for NIH-3T3 cells and nontumor liver tissues. (B and C) qRT-PCR analysis shows the mRNA level of Nogo-B in 140 pairs of HCC tumors and the neighboring pathologically nontumor liver tissues (arranged according to relative expression level from low to high), with 64% of HCC tumors showing higher mRNA levels of Nogo-B compared with their nontumor counterparts. Log2-transformed fold changes of Nogo-B mRNA in HCCs with respect to nontumorous tissues which were normalized to β2-microglobulin (***P < .001). (D and E) The protein level of Nogo-B was analyzed by Western blot in 14 representative pairs of HCC (HCC tissues and the adjacent nontumor liver tissues). The relative level of Nogo-B protein was quantified using Image J Software. (F) IHC analysis of Nogo-B’s expression in HCC tissue and adjacent nontumor liver tissue.
Table 1.
The Clinical-Pathological Correlation Analysis of Nogo-B Expression in 140 HCC Tissues
Characteristic | Nogo-B Expression in HCC |
P Value | |
---|---|---|---|
Low | Moderate and High | ||
Age/year | |||
≥50 | 35 | 55 | .292 |
<50 | 15 | 35 | |
Gender | |||
Male | 37 | 73 | .325 |
Female | 13 | 17 | |
AFP | |||
Positive | 27 | 39 | .225 |
Negative | 23 | 51 | |
Hepatitis history | |||
Positive | 7 | 11 | .763 |
Negative | 43 | 79 | |
Tumor size | |||
≥5 cm | 19 | 51 | .034⁎ |
<5 cm | 31 | 39 | |
Hepatitis status | |||
Positive | 30 | 58 | .602 |
Negative | 20 | 32 | |
Pathological differentiation | |||
I-II | 43 | 56 | .003⁎ |
III-IV | 7 | 34 | |
TNM | |||
I-II | 46 | 67 | .011⁎ |
III-IV | 4 | 23 | |
Liver cirrhosis | |||
Positive | 25 | 53 | .310 |
Negative | 25 | 37 | |
Capsular | |||
Positive | 40 | 68 | .548 |
Negative | 10 | 22 |
Two-tailed Student’sttest was used.TNM, tumor–lymph node–metastasis.
Represents P values with significant difference.
Knockout of Nogo-B Suppresses HCC Cells’ Proliferation
To investigate the role of Nogo-B in HCCs, we used CRISPR-Cas9 technology to knockout Nogo-B in three HCC cell lines, SMMC-7721 (Figure 2, A,B, and D), QGY-7703 (Figure 2, A,C, and E), and HCC-LM3 (Supplementary Figure 1, D,E, and F), and evaluated the effects of Nogo-B in these cells. The cell colonies with Nogo-B knockout were chosen for further confirmational assays (Supplementary Figure 1, A,B, and C). Cell proliferation assays demonstrated that Nogo-B knockout potently slowed cell proliferation compared with WT cells (Figure 2, D and E). Cell colony assays further identified the similar suppressive effects of Nogo-B knockout. These results implicate the oncogenic role of Nogo-B in HCC tumor progression.
Figure 2.
Nogo-B knockout reduces proliferation of HCC cells in vitro. (A) The gene structure of Nogo-B in human genome was shown. (B and C) Nogo-B knockout by CRISPR-Cas9 technology in SMMC-7721 and QGY-7703 cells was confirmed by DNA sequencing. (D and E) Nogo-B knockout slows cell proliferation. The suppressive rates in the three Nogo-B–deficient colonies derived from SMMC-7721 cells were 45.15% (KO-2), 36.75% (KO-3), and 32.39% (KO-4) compared with WT cells at day 7. The suppression rates in the three tested colonies from QGY-7703 cells were 35.15% (KO-3), 39.10% (KO-5), and 25.65% (KO-7) at day 7 (F and G) Nogo-B knockout induced significant suppression of colony-forming abilities in either SMMC-7721 or QGY-7703 cells, with the inhibitory rates being 59.28%, 47.81%, and 38.57% in SMMC-7721 KO-2, KO-3, and KO-4 cells and 51.35%, 61.85%, and 44.28% in QGY-7703 KO-3, KO-5, and KO-7 cells. *P < .05.
Knockout of Nogo-B Suppresses Tumor Growth
As described above, Nogo-B knockout could suppress HCC cell proliferation in vitro. Here, we attempted to determine whether Nogo-B knockout had the same suppressive effects on HCC tumor growth in vivo. In HCC SMMC-7721 tumor growth, we found that Nogo-B knockout induced strong tumor suppression (Figure 3A). The tumor volumes at day 35 were 626.98 mm3 in the KO-3 group and 866.02 mm3 in the KO-4 groupcompared with 2241.01 mm3 in the control group, with the inhibitory rates being 71.02% (KO-3) and 61.36% (KO-4). At day 35, all tumors were removed, photographed (Figure 3B), and weighed (Figure 3C). The average tumor weights in KO-3, KO-4, and control groups were 0.41 g, 0.57 g, and 0.89 g, respectively. Statistical analysis showed significant suppression from the Nogo-B knockout (Figure 3C).
Figure 3.
Nogo-B knockout decreases tumorigenicity of HCC cells xenograft model. (A) Tumor volume in the three groups was measured at the indicated days after SMMC-7721 cells (WT, KO-3, and KO-4) injection. (B) The resected tumors from individual nude mice after sacrifice were shown. Eight mice were used in each group. (C) The weight of resected tumors. (D) The growth of orthotopically implanted tumor was monitored using a luminescent imaging technique for 5 weeks. The photograph shows the tumor signal at 1, 3, and 5 weeks after tumor being seeded into the liver. (E) The quantitative data of luciferase imaging area at 1, 3, and 5 weeks after tumor being seeded into the liver. *P < .05.
For the effects of Nogo-B on HCC QGY-7703 tumor growth, tumor-imaging assays showed that the average luciferase area at week 1, 3, and 5 was 92.67 mm2, 290.53 mm2, and 549.99 mm2, respectively, in the KO-5 group and 78.43 mm2, 420.91 mm2, and 961.07 mm2, respectively, in the control group (Figure 3, D and E). Statistical analysis showed that the suppressive effects of Nogo-B knockout were significant in week 3 and 5 but not in week 1.
The Effects of Nogo-B on HCC Cell Migration and Invasion
We further did assays to evaluate whether Nogo-B would affect HCC cell migration and invasion in two HCC cells: SMMC-7721 and HCC-LM3. The absence of Nogo-B induced a significant suppression of migration and invasion ability in SMMC-7721 cells, with the inhibitory rates being 52.75% (KO-2), 60.99% (KO-3), and 76.25% (KO-4) in migration and 53.94% (KO-2), 61.60% (KO-3), and 64.98% (KO-4) in invasion (Figure 4, A and C). We also obtained similar suppressive results of Nogo-B knockout in HCC-LM3 cell migration and invasion (Figure 4, B and D).
Figure 4.
Nogo-B knockout attenuated HCC cells migration and invasion in vitro and metastatic ability in vivo. (A) Migration and invasion of SMMC-7721 cells (WT, KO-2, KO-3, and KO-4) were determined by Transwell assays. (C) The quantitative data of migration and invasion of SMMC-7721 cells were shown, with the inhibitory rates being 52.75% (KO-2), 60.99% (KO-3), and 76.25% (KO-4) in the migration assay and 53.94% (KO-2), 61.60% (KO-3), and 64.98% (KO-4) in the invasion assay. (B) Migration and invasion abilities of HCC-LM3 cells (WT, KO-4, KO-5, and KO-6) were determined by Transwell assay. (D) The quantitative data of migration and invasion of HCC-LM3 cells, with the inhibitory rates being 45.86% (KO-4), 62.22%, (KO-5) and 44.32% (KO-6) in the migration assay and 47.32% (KO-4), 33.27% (KO-5), and 41.39% (KO-6) in the invasion assay. (E) Liver tissues from mouse implanted with HCC-LM3 cells (WT and Nogo-B knockout [KO-5]) by an intrahepatic metastatic assay were stained with H&E. (F) Lung tissues from mouse implanted with HCC-LM3 cells (WT and Nogo-B knockout [KO-5]) by an extrahepatic metastatic assay were stained with H&E. *P < .05.
The Effects of Nogo-B on HCC Metastasis In Vivo
To determine the impacts of Nogo-B on HCC metastasis in vivo, HCC-LM3 (WT and KO) cells were orthotopically implanted in the livers of nude mice. The metastatic sites in livers and lungs were calculated. The average intrahepatic metastatic sites in livers were 1.2 in the KO group (Nogo-B knockout) and 2.3 in the WT group (Supplementary Figure 2, A and B), with the inhibitory rate being 50.00% (Supplementary Figure 2B). Meanwhile, the average extrahepatic metastatic sites in lungs were 1.3 in the KO group and 2.2 in the WT group (Supplementary Figure 2, D and E), with the inhibitory rate being 38.46% (Supplementary Figure 2E). Hematoxylin and eosin (H&E) staining further showed that Nogo-B knockout resulted in less metastasis in livers (Figure 4E) and lungs in comparison with that of the WT group (Figure 4, E andF; Supplementary Figure 2, C and F). These results suggest the aggressive efficacy of Nogo-B in HCC tumor invasion and metastasis and the potential option for Nogo-B–targeted anti-HCC drug development.
Supplementary Figure 2.
(A) The photograph of tumor, liver, and lung tissues from each of six mice with orthotopically implanted tumor derived from WT HCC-LM3 cells. Several intrahepatic metastatic sites are visible on the surface of the livers. (B) The quantitative data of visible intrahepatic metastatic sites on liver surface. (C) H&E staining results of partial liver and whole lung from mice implanted with WT HCC-LM3 cells. The intrahepatic and extrahepatic metastatic sites are visible. (D) The photograph of tumor, liver, and lung tissues from each of six mice with orthotopically implanted tumor derived from Nogo-B KO HCC-LM3 cells. (E) The quantitative data of visible extrahepatic metastatic sites on lung surface. (F) H&E staining results of part of the liver and the full lung from mice implanted with HCC-LM3 KO cells. The intrahepatic and extrahepatic metastatic sites are visible. **P < .01.
Nogo-B Influences the IL-6/STAT3 Signaling Pathway in HCC Cells
Consequently, we studied the possible Nogo-B–mediated molecular mechanism in HCC cells. We did RNA-seq to analyze the signaling pathways difference among WT cells and KO cells. We found that loss of Nogo-B has effects on IL-6 signaling pathway (Supplementary Figure 3, A, B, and C); an earlier study had reported that Nogo-B promotes hepatocyte proliferation by facilitating the IL-6/STAT3 signaling pathway [23]. We then hypothesized that Nogo-B mediated IL-6 and its downstream signaling networks in HCC cells, possibly with the involvement of STAT3 and its phosphorylation. We then used IL-6 to treat WT SMMC-7721 cells and Nogo-B knockout cells (KO-3 and KO-4). qRT-PCR analysis demonstrated that Nogo-B knockout lead some of the IL6/STAT3 signaling pathway gene A2M, CRP, VEGF, and SOCS3 mRNA level changed in both SMMC-7721 and QGY-7703 cells (Supplementary Figure 3, E and F). Western blot analysis demonstrated that IL-6 induced phosphorylation of STAT3 (pSTAT3) in WT cells, whereas Nogo-B knockout attenuated IL-6–induced phosphorylation in KO-3 and KO-4 cells (Figure 5A). Similar results were observed in WT and KO QGY-7703 cells (KO-5 and KO-7) (Figure 5B). We further examined whether loss of Nogo-B affected nuclear accumulation of IL-6–mediated pSTAT3. We observed that IL-6 induced a high accumulation of pSTAT3 in WT SMMC-7721 cells but not in KO-3 and KO-4 cells (Figure 5C). Similar results were observed in WT and KO QGY-7703 cells (Figure 5D). These findings indicate that loss of Nogo-B impairs IL-6/STAT3 signaling in HCC cells.
Supplementary Figure 3.
(A, B) Ingenuity pathway analysis of WT and Nogo-B knockout HCC cells. (C) Parts of the IL-6/STAT3 signaling pathway. (D) The IL-6/STAT3 signaling pathway gene A2M, CRP, VEGF, and SOCS3 mRNA level changed after treatment with IL-6 (100 ng/ml) in WT and Nogo-B knockout SMMC-7721 cells. (E) The IL-6/STAT3 signaling pathway gene A2M, CRP, VEGF, and SOCS3 mRNA level changed after treatment with IL-6 (100 ng/ml) in WT and Nogo-B knockout QGY-7703 cells.
Figure 5.
Nogo-B knockout decreases the level of pSTAT3 in vitro. (A) SMMC-7721 cells (WT and Nogo-B knockout strains [KO-3 and KO-4]) and (B) QGY-7703 cells (WT and Nogo-B knockout strains [KO-5 and KO-7]) were serum starved for 24 hours and then treated with IL-6 (100 ng/ml) for 0, 5, 10, 20, 30, 60, and 120 minutes. The level of pSTAT3 was measured by Western blot. Nogo-B knockout attenuated the level of pSTAT3. (C) SMMC-7721 cells (WT, KO-3, and KO-4) and (D) QGY-7703 cells (WT, KO-5, and KO-7) were treated with IL-6 (100 ng/ml) for 20 minutes after serum starvation for 24 hours. The accumulation of nuclear pSTAT3 was then determined by immunofluorescence. Nogo-B knockout affected the pSTAT3 accumulation in the nucleus.
Loss of Nogo-B Decreases the Phosphorylation of STAT3 in Primary Liver Tumors
We further investigated whether loss of Nogo-B could result in the decrease of pSTAT3 in liver orthotopic mouse models. SMMC-7721 cells were implanted in mice, and liver tumors were detected. Nogo-B knockout was observed to significantly reduce pSTAT3 and the proliferation marker Ki-67 but not STAT3 (Figure 6A). The inhibitory rates were 31.63% (KO-3) and 29.12% (KO-4) in pSTAT3 and 38.28% (KO-3) and 40.03% (KO-4) in Ki-67 (Figure 6C). We also observed that Nogo-B knockout decreased pSTAT3 and Ki-67 in HCC-LM3 cells but not STAT3 (Figure 6, B and D). The inhibitory rates were 30.12% (KO-5-1) and 28.44% (KO-5-2) in pSTAT3 and 19.38% (KO-5-1) and 20.00% (KO-5-2) in Ki-67 (Figure 6D). These results support that the effects of Nogo-B on HCC tumor progression are possibly by modulating IL-6/STAT3 signaling.
Figure 6.
Nogo-B Knockout decreases the pSTAT3 level in vivo. (A-B) IHC analysis of proteins as indicated in tumors derived from (A) SMMC-7721 cells (WT, KO-3, and KO-4) and (B) HCC-LM3 cells (WT and KO-5). Loss of Nogo-B attenuated the level of pSTAT3 and Ki-67 in the KO groups compared with the WT group. (C-D) The gray intensities of immunosignals of Nogo-B, STAT3, pSTAT3 (S727), and Ki67 in tumor tissues derived from (D) SMMC-7721 cells (WT, KO-3, and KO-4) and (D) HCC-LM3 cells (WT and KO-5) were semiquantified by image analysis. *P < .05, **P < .01.
Discussion
It is a tough challenge to develop anti-HCC drugs due to the fact that HCCs are extremely aggressive and livers are unique human organs, easily showing severe adverse effects [4], [25], [26], [27]. More importantly, the molecular mechanisms are not fully understood in HCCs. Scientists are attempting to determine the precise mechanisms causing HCC pathogenicity and have demonstrated that HCCs are associated strongly with hepatitis and certain other signaling pathways such as Wnt signaling and Notch signaling [4], [25], [26], [27], [28]. Certain genes mutate more frequently in HCCs than in other cancers. Conversely, some others mutate less in HCCs [4], [28]. These new discoveries greatly help us to search and develop more effective and specific anti-HCC drugs.
We previously demonstrated that certain genes, like Notch1, Nogo-C, and NR4A2, were involved in HCC progression. We found that Notch1 and NR4A2 are expressed highly in many cancers and potentially act as oncogenic markers [4], [29], [30] with their interactions in cervical cancers [30] and HCCs (unpublished data). We also identified that Nogo-C acted as a tumor suppressor in HCCs [14]. Conversely, we presently disclosed that Nogo-B might be an oncogene in HCCs, with Nogo-A being undetectable in most HCC cases. These findings provide novel directions for study of the precise molecular mechanism of the Nogo gene family and new strategies to develop potential Nogo-associated anti-HCC drugs.
Nogo-B was discovered in our previous study [5]. Nogo-B exists widely in various tissues [6], [11], [31]. Nogo-B has demonstrated its biological functions in cell migration [18], [32], cell adhesion [18], [22], [33], vascular remodeling [18], and tissue repair [21]. Nogo-B is also reportedly related to hepatocyte proliferation, liver regeneration, and fibrosis [17], [23], [24]. However, there is no study to connect Nogo-B with HCCs. To understand the functional role of Nogo-B in HCCs, we first investigated and proved that there is aberrant expression of Nogo-B in primary HCC tissues and immortal HCC cell lines but not in normal liver tissues and cells. Also, Nogo-A is not in normal or pathological tissues/cells, predicting that Nogo-B plays a unique role in HCCs.
Given that Nogo-B aberrantly enhances liver cell proliferation and migration [18], [22], [32], we hypothesized that Nogo-B might act as an oncogene to enhance HCC development. Our loss-of-function assays showed that loss of Nogo-B reduced HCC cell proliferation and migration and decreased tumor growth and metastasis. On the other hand, the gain-of-function assays showed that overexpression of Nogo-B enhanced cell proliferation and migration (unpublished data). These findings support that Nogo-B plays an oncogenic role in HCCs. To further understand the possibility of Nogo-B–mediated signaling networks, we did RNA-seq assays and found that loss of Nogo-B had effects on IL-6 signaling pathway (Supplementary Figure 3). Nogo-B was reported to promote hepatocyte proliferation by facilitating the IL-6/STAT3 signaling pathway [23]. Recent study disclosed that IL-6 related to tumor growth and invasion in many types of human cancer [34], [35], [36], [37], [38], [39], and IL-6 plays roles during the HCC that represents an inflammation-linked cancer [40], [41], abnormal IL-6/STAT3 signaling in cancer cells has emerged as a major mechanism for cancer initiation and development [42], [43], [44], STAT3 is constitutively active in most cancer cells [45], [46]. Activation of STAT3 is related to cell proliferation and metastasis [47], [48], [49]. STAT3 has been found to be constitutively activated by IL-6 in many types of human malignancies [34], [45]. IL-6, through p-STAT3 rather than p-STAT1 signal pathway, affects hepatic function and tumor progression, and determines HCC patient survival [50]. These imply that the correlation of Nogo-B and IL-6/STAT3 may play an important role in HCCs [51], [52], [53]. Thus, we further focused on the study of Nogo-B signaling and IL-6/STAT3 signaling in HCCs. Our serial assays demonstrated that the new Nogo-B/IL-6/STAT3 signaling pathways indeed participated in HCC development.
We observed that Nogo-B knockout reduced IL-6–induced phosphorylation of STAT3 (pSTAT3) and the nuclear accumulation of pSTAT3 in HCC cells. Nogo-B contains a conserved reticulon homology domain, a 66-aa loop domain termed Nogo-66 in the reticulon homology domain, which can interact with glycosylphosphatidylinositol-linked cell-surface Nogo-66 receptors [54]. Nogo-66 induced astroglial differentiation of NPCs and activated phosphorylation of STAT3 at both Ser727 and Tyr705 and the phosphorylation of mTOR [55]. Nogo-66 influences embryonic stem cell self-renewal and differentiation via Stat3 signaling pathway [56]. Nogo-P4, an active segment of Nogo-66, is able to stimulate the phosphorylation of STAT3 and induce the expression of inducible nitricoxide synthase and cyclooxygenase-2 and the release of proinflammatory cytokines [57], [58]. The Nogo-induced activation of NgR on microglia promotes the expression of proinflammatory cytokines and inhibits cell adhesion and migration behaviors [59]. Therefore, we hypothesized that nogo-66/NgR regulated the IL-6/STAT3 signaling pathway. We selected a unique pSTAT3 antibody with its phosphorylation at Ser727 and Tyr705 to analyze the effects of Nogo-B on the phosphorylation of STAT3. The results demonstrated that Nogo-66 might participate in Nogo-B–mediated IL-6/STAT3 signaling via regulating the phosphorylation of STAT3. We will next focus on studies to determine the roles of Nogo-66 in Nogo-B/IL-6/STAT3 signaling networks and the applications for developing new Nogo-B–targeted anti-HCC drugs.
In conclusion, it has been demonstrated that Nogo-B is uniquely overexpressed in HCCs and plays an oncogenic role in HCC progression. Loss of Nogo-B extremely suppressed HCC cell and tumor growth, with gain of Nogo-B inducing HCC cell growth. These findings support that Nogo-B may be a new anti-HCC therapeutic target.
The following are the supplementary data related to this article.
Authors' Contributions
Conception and design: B. Z., L. Y., L. C. S.; performed the experiments: B. Z.; analysis and interpretation of data: B. Z., L. Y., L. C. S.; contributed reagents/materials: S. B. C, X. D. H., X. F. J., Y. C. L., S. M. J., Z. L; wrote the paper: B. Z., S. M. J., L. Y., L. C. S. All authors have read and approved the final manuscript.
Conflict of Interest [5]
The authors declare that they have no competing interests.
Acknowledgements
We thank Dr. Jun Chen (Liver Cancer Institute of Zhongshan Hospital of Fudan University) for his expertise on animal study.
Footnotes
Financial support: This work was supported by the National Basic Research Program of China (973 Program; 2013CB910504) and the National Key Sci-Tech Special Project of China (2013ZX10002010).
Contributor Information
Songmin Jiang, Email: smjiang@fudan.edu.cn.
Lichun Sun, Email: lsun@tulane.edu.
Long Yu, Email: longyu@fudan.edu.cn.
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