Abstract
Golgi phosphoprotein 73 (GP73) has been regarded as a novel serum biomarker for the diagnosis of hepatocellular carcinoma (HCC) in recent years. It has been reported that the upregulation of GP73 may promote the carcinogenesis and metastasis of HCC; however, the mechanisms remain poorly understood. In this study, GP73 correlates positively with matrix metalloproteinase‐2 (MMP‐2) in HCC‐related cells and tissues. Further studies indicate that the knockdown of GP73 blocks MMP‐2 trafficking and secretion, resulting in cell invasion inhibition. Additionally, the knockdown of GP73 induces the accumulation of intracellular MMP‐2, which inhibits the phosphorylation of Src at Y416 and triggers the inhibition of SAPK/JNK and p53‐p21 signalling pathways through a negative feedback loop. Finally, the transactivation of MMP2 was inhibited by the reduction in E2F1. This study reveals that GP73 plays functional roles in the trafficking and equilibrium of epithelial‐mesenchymal transition (EMT)‐related secretory proteins and that GP73 serves as a new potential target for combating the metastasis of HCC.
Keywords: GP73, hepatocellular carcinoma, intrahepatic metastasis, MMP‐2, negative feedback loop, protein trafficking
1. INTRODUCTION
Hepatocellular carcinoma (HCC) is the third leading cause of cancer‐related death worldwide, with limited treatment options.1, 2, 3 HBV or HCV infections increase the occurrence of HCC, and statistically, more than 80% of HCC patients are HBV or HCV infected.2, 3 Recurrence and metastasis are the main causes of HCC‐related deaths.4 HCC cells metastasize rapidly through the vasculature, and intrahepatic metastasis is the common form of metastasis.5 Robust estimates suggest that approximately 70% of HCC patients will relapse within 5 years following surgery.6 Therefore, it is critical to diagnose and control HCC metastasis as soon as possible to extend the survival time of HCC patients.
GP73 is a highly phosphorylated protein located in the Golgi apparatus that can also be cleaved and secreted into serum.7, 8 GP73 is highly expressed in several kinds of cancers, including HCC, nonsmall cell lung cancer, breast carcinoma, pancreatic carcinoma, melanoma, and prostate carcinoma.9, 10, 11, 12, 13 As the expression of GP73 was positively associated with the process of cancers, this protein has been regarded as a novel serum biomarker in the diagnosis of cancers, especially in HCC diagnosis.9, 14, 15
Recently, it was also reported that serum GP73 facilitates the progression of HBV‐related acute and chronic hepatitis, acute‐on‐chronic liver failure, fibrosis, and other immunologically mediated liver diseases.16, 17, 18, 19, 20 Furthermore, some studies even indicate that GP73 is a suitable diagnostic biomarker not only for HCC but also for liver cirrhosis.21, 22
Although studies indicate that GP73 is a remarkable biomarker in clinical diagnostics, its function remains unclear. In recent years, some studies have indicated that highly expressed GP73 promotes the migration and invasion of HCC,8, 23 but the molecular processes are far more complex.
MMP‐2 is a critical member of the matrix metalloproteinase family, which is activated on the plasma membrane and secreted into the extracellular space, resulting in fibrillin degradation and extracellular matrix damage.24, 25, 26 MMP‐2 is often highly expressed in cancer cells, facilitating cell invasion. The transcription, activation, secretion, and function of MMP‐2 have been studied in recent years, but the process of intracellular MMP‐2 trafficking is still poorly understood.24
In this study, the knockdown of GP73 blocked intracellular MMP‐2 trafficking, resulting in cell invasion inhibition. Moreover, the knockdown of GP73 triggered SAPK/JNK and p53‐p21 signalling pathways inhibition, which modulated the equilibrium of intracellular MMP‐2 by regulating the transactivation of MMP2. These studies provided a potential target for combating metastatic HCC.
2. MATERIALS AND METHODS
2.1. Reagents
Dulbecco's modified Eagle's medium (DMEM), foetal bovine serum (FBS), Lipofectamine 3000, Lipofectamine RNAi Max, and puromycin were purchased from Thermo Fisher (Carlsbad, CA, USA). The restriction enzymes BamHI, EcoRI, HindIII, KpnI, and SacI were purchased from TaKaRa (Shiga, Japan). BFA, Saracatinib, and PP1 were obtained from MedChem Express Co., Ltd. (Shanghai, China).
2.2. Antibodies
Rabbit polyclonal antibodies against GP73 were obtained from Thermo Fisher, and mouse monoclonal antibodies against GP73 were purchased from Abnova (Taipei, Taiwan). Antibodies against MMP‐2, CD81, and CD63 were obtained from Abcam (Cambridge, MA, USA). Antibodies against β‐actin, flag, and HA were purchased from EarthOx (San Francisco, CA, USA), and antibodies against LaminB were purchased from Proteintech Inc (Wuhan, China). Antibodies against Src, p‐Src(Y416), SAPK/JNK, p‐SAPK/JNK(T183/Y185), p38, p‐p38(T180/Y182), p21, p53, Rb, p‐Rb(S780), E2F1, and rabbit IgG were purchased from Cell Signaling Technology (Danvers, MA, USA). Antibodies against importin‐3 and importin‐7 were obtained from Novus (Littleton, CO, USA). HRP‐conjugated secondary antibodies against rabbit IgG and mouse IgG were purchased from EarthOx. Alexa Fluor 488/568 conjugated secondary antibodies against rabbit IgG and mouse IgG were obtained from Thermo Fisher.
2.3. Cell culture
HepG2 and 293T cells were obtained from American Type Culture Collection (ATCC, Manassas, VA, USA) and MHCC‐97H cells were purchased from the Liver Cancer Institute (Zhongshan Hospital, Fudan University, China). HL‐7702, PLC/PRF/5, and Huh7 cells were obtained from Shanghai Cancer Institute (Shanghai, China). The cells were cultured in Dulbecco's modified Eagle's medium supplemented with 10% FBS in 5% CO2 at 37°C. The cell lines were authenticated by STR profiling at Cobioer Bioscience Co., Ltd. (Nanjing, China), and experiments were performed within <10 passages after authentication.
2.4. Clinical HCC sample analysis
For analysis of the correlation between GP73 and MMP‐2 expression, pathological tissues (C, n = 30), and adjacent normal liver tissues (N, n = 30) were freshly obtained from HCC patients undergoing surgery at the First Affiliated Hospital, Zhejiang University School of Medicine (Hangzhou, China). The institutional review board at Zhejiang University School of Medicine approved the protocol of this study, and all patients provided informed consent. The samples were fixed in 4% formalin, routinely processed, and embedded in paraffin. Sections of 4 μm were placed on glass slides for H&E staining and immunohistochemical analysis. Primary antibodies against GP73 were obtained from Thermo Fisher and antibodies against MMP‐2 were purchased from Abcam. A portion of the samples was assessed for differentiation stages in the Department of Pathology, the First Affiliated Hospital, Zhejiang University School of Medicine. For the analysis of serum GP73 and MMP‐2, samples from HCC patients (HCC, n = 40) were derived from the Department of Liver Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine before the surgery, and samples from healthy control individuals (healthy, n = 20) were derived from the Clinical Laboratory in the First Affiliated Hospital, Zhejiang University School of Medicine. The levels of secreted GP73 were measured using the Human GOLM1/GP‐73 ELISA Kit (Raybiotech, Norcross, GA, USA), and the levels of secreted MMP‐2 were measured using the Human MMP‐2 ELISA Kit (Raybiotech) following the manufacturer's instructions.
2.5. Small interfering RNA (siRNA) knockdown of human GP73, MMP‐2, and Src
Specific siRNAs for human GP73, MMP‐2, and negative control (siNC) were synthesized by Oligobio (Beijing, China). Specific siRNA pools for Src and siNC were purchased from GE Healthcare Dharmacon Inc.(Lafayette, CO, USA). The sequences of all siRNAs are shown in Table S1A. The cells were transfected with siRNAs using Lipofectamine RNAi Max for 0‐72 hours according to the manufacturer's instructions.
2.6. Immunoblotting
For whole‐cell protein extraction, the cells were lysed in RIPA lysis buffer (Merck‐Millipore, Billerica, MA, USA) for 30 minutes on ice and boiled for 5 minutes. For cytosol and nuclear protein extraction, whole cells were lysed using the Nuclear Extract Kit (Active Motif, Carlsbad, CA, USA) following the manufacturer's instructions. The samples were subjected to immunoblotting as described previously.27
2.7. Immunofluorescence and confocal microscopy
Each well of a 24‐well plate was seeded with 2 × 104 cells and incubated for 24 hours. The remaining procedures were performed as previously reported.23
2.8. Transwell cell invasion assay
The cell invasion assay was performed using a 6.5 mm Transwell plate with 8.0 μm pore polycarbonate membrane‐coated inserts (Corning, NY, USA). The upper chambers were coated with 15% Matrigel from Corning. The cell invasion assay was performed as described.28
2.9. Anchorage‐independent cell colony formation assay
Anchorage‐independent proliferation was examined in MHCC‐97H cell lines following GP73 silencing. For this assay, the cells were seeded onto 6‐well plates (1 × 104 cells/mL) and transfected with siGP73s. The cells were digested immediately after transfection and processed as previously described.29 The mixture was then incubated at 37°C and 5% CO2 for 6 days, and the colonies were counted.
2.10. Fluorescence resonance energy transfer
For the fluorescence resonance energy transfer (FRET) assay, the primers sequences for GP73 and MMP‐2 expression are shown in Table S1B. The forward and reverse primers were annealed and cloned into pcDNA3.1‐CFP (GP73) and pcDNA3.1‐YFP (MMP‐2) vectors through HindIII and SacI sites. 293T cells were seeded onto 24‐well plates and transfected with 4 μg of plasmid in proportions of 1:1 using Lipofectamine 3000. Forty‐eight hours later, protein‐protein interactions were examined using a Nikon A1 confocal microscope (Nikon Corporation, Tokyo, Japan) with FRET.
2.11. Immunoprecipitation
The cells were lysed in 500 μL of RIPA lysis buffer after reaching approximately 90% confluence in 15 cm dishes. The samples were centrifuged to remove insoluble debris, and the supernatant was split into 2 equal aliquots. Target‐specific antibodies and anti‐rabbit IgG antibodies were added. Immunoprecipitation was performed using Pierce™ Protein A/G Magnetic Beads (Thermo Fisher) according to the manufacturer's instructions.
2.12. Isolation of vesicles and exosomes
For vesicle isolation, cells cultured in 15 cm dishes were digested and centrifuged at 1000× g for 5 minutes. The pellet was resuspended in 1 mL 1× PBS and ground using a homogenizer. The homogenate was centrifuged at 2000× g for 5 minutes. The supernatant was collected and the vesicles were isolated by PEG6000 and ultracentrifugation as previously described.30 For exosome isolation, the cells were cultured using serum‐free DMEM for 24 hours in 5% CO2 at 37°C. Cell culture media were collected, and the exosomes were isolated using the Exosome Isolation Kit (Thermo Fisher) following the manufacturer's instructions.
2.13. Live‐cell imaging
The 293T cells were plated onto glass‐bottom 2.5 cm dishes and transfected with pCMV‐GOLM1‐GFP and pCMV‐MMP2‐OFP (plasmids were purchased from Sinobiological Industries (Beijing, China). Forty‐eight hours after transfection, the movement track of fusion proteins was examined using Nikon A1R confocal microscope (Nikon Corporation). Images were captured every 5 seconds for 10 minutes.
2.14. Mapping of the binding site of GP73/MMP‐2 in vitro
Truncated mutants were constructed based on the template of pCMV3‐GOLM1‐flag. PCR was performed with the primers shown in Table S1C. Truncated mutants and pCMV‐MMP2 were transfected into 293T cells. Immunoprecipitation assays were performed as previously described.23
2.15. Chromatin immunoprecipitation
Chromatin immunoprecipitation (ChIP) analysis was performed using the SimpleChIP Enzymatic Chromatin IP Kit (Cell Signaling Technology) following the manufacturer's instructions. DNA‐protein complexes were precipitated using a specific antibody against E2F1. Immunoprecipitated DNA fragments and input DNA were used as templates for chromatin immunoprecipitation and PCR (ChIP‐PCR) using PrimeSTAR GXL (TaKaRa). The primers used in the ChIP‐PCR analysis are listed in Table S1D.
2.16. Luciferase reporter assay
HepG2 cells were seeded onto 24‐well plates and transfected with siNC or siGP73#1. The cells were cotransfected with pGL4.19‐MMP2‐promoter, binding site mutated mutants (as shown in Figure 6E) and pRL‐TK for 24 hours before harvest. Luciferase activity was then analysed using the Dual Luciferase Reporter Assay System (Promega, Madison, WI, USA) according to the manufacturer's instructions. Total light production was measured with the SpectraMax M5 multimode microplate reader (Molecular Devices, Sunnyvale, CA, USA).
2.17. Statistical analysis
The values were analysed by two‐tailed Student's t‐test and demonstrated as the means ± standard error of the mean (SEM). Statistical analysis was performed using Statistical Package for Social Sciences (SPSS) software (version 16.0, IBM Corporation, Armonk, NY, USA).
3. RESULTS
3.1. GP73 correlates positively with MMP‐2 in tissues and serum derived from HCC patients
To determine how GP73 facilitates cell invasion, we analysed the expression of secretory proteins in the exosomes of five different normal or liver cancer cell lines (R2 = 0.948) and confirmed that secretory GP73 (sGP73) correlated positively with cytosolic MMP‐2 (Figure 1A). Expression levels of cytosolic GP73 and MMP‐2 were also measured using immunoblot analysis, and these proteins demonstrated a correlation with each other (R2 = 0.8968) (Figure 1B), which suggested that the transcription of GOLM1 and MMP2 might be associated.
To confirm the clinical correlation of these two factors, intracellular GP73 and MMP‐2 were detected by immunohistochemical analysis in pathological and adjacent liver tissues obtained from 30 HCC patients, and the results were evaluated by average optical density (AOD) (Figure 1C). The results indicated that both GP73 and MMP‐2 were highly expressed in pathological tissues compared with adjacent liver tissues (Figure 1D). Linear regression analysis showed that GP73 correlated positively with MMP‐2 (R2 = 0.3827) (Figure 1E), which indicated that GP73 was highly correlated with MMP‐2 in HCC tissues. Because secretory GP73 and MMP‐2 facilitated cell invasion through secretion into the extracellular matrix and serum, it was essential to measure serum GP73 and MMP‐2. The content of extracellular GP73 and MMP‐2 in serum derived from 40 HCC patients and 20 individuals under physical examination were detected using ELISA. Similarly, GP73 and MMP‐2 in the serum of HCC patients were comprehensively higher than in the serum of individuals under physical examination (Figure 1F). Strikingly, the correlation of GP73 and MMP‐2 was closer in serum than that in HCC tissues (R2 = 0.4698) (Figure 1G). The data above imply that the expression of GP73 might be associated with the generation or secretion of MMP‐2.
3.2. Knockdown of GP73 blocks trafficking of intracellular MMP‐2 and inhibits cell invasion
To investigate the association of GP73 and MMP‐2, we silenced endogenous GP73 in HepG2 and MHCC‐97H cells by using two pairs of GP73‐specific siRNAs (siGP73s). Immunoblotting and immunofluorescence assays showed that the knockdown of GP73 upregulated intracellular MMP‐2 (Figure 2A, B). However, the expression of vesicular and exosomal MMP‐2 was reduced (Figure 2C). Transwell invasion and anchorage‐independent cell colony formation assays demonstrated that cell invasion was silenced after GP73 silencing (Figure 2D, E), which suggested that the knockdown of GP73 might inhibit the trafficking and secretion of MMP‐2. To further determine whether GP73 silencing blocked MMP‐2 trafficking, MMP‐2 was overexpressed in MHCC‐97HsiGP73 cells, but strikingly, cell invasion was still inhibited, which further indicated that GP73 is involved in the trafficking of intracellular MMP‐2 (Figure 2F, G).
To further confirm the trafficking relationship between GP73 and MMP‐2, MHCC‐97H cells were cultured in DMEM containing Brefeldin A (BFA, 2.5 μg/mL). Immunoblotting and immunofluorescence analysis demonstrated that GP73 was secreted into the cytosol and that MMP‐2 accumulated in the cytosol, but extracellular MMP‐2 was reduced, which implied that GP73 might play important roles in MMP‐2 trafficking while the Golgi apparatus was intact. Twelve hours after BFA stimulation, GP73 overlapped with MMP‐2 in the cytosol, which suggested that GP73 potentially interacted with MMP‐2 (Figure 3A‐C). Coimmunoprecipitation assays proved that exogenous GP73 interacted with MMP‐2, and fluorescence resonance energy transfer (FRET) assays further determined that GP73 directly interacted with MMP‐2 in the cytosol (Figure 3D‐F). The evidence above demonstrated that GP73 directly participated in the trafficking of intracellular MMP‐2. To determine the binding site of GP73 and intracellular MMP‐2, a series of constructs encoding GOLM1 deletion mutants with c‐flag tags were constructed (Figure 3G). The deletion constructs and pCMV‐MMP‐2 were cotransfected into 293T cells, followed by coimmunoprecipitation and immunoblot analysis. Almost all of the GP73 deletion mutants interacted with exogenous MMP‐2, except for the Δ5‐12 and Δ2‐12 mutants, which proved that GP73 interacted with intracellular MMP‐2 in the region of the cytoplasmic domain (Figure 3H). These results implied that GP73 interacted with MMP‐2 and participated in MMP‐2 trafficking by vesicular transport. To track the process of MMP‐2 trafficking, GP73‐GFP and MMP‐2‐OFP fusion proteins were expressed in 293T cells, and live cell imaging displayed that GP73 and MMP‐2 partially overlapped in the region of the Golgi apparatus, both factors translocated to the plasma membrane and were secreted into extracellular spaces (Figure 3I).
The data above show that GP73 interacts with intracellular MMP‐2 in the region of the cytoplasmic domain, facilitating the trafficking and secretion of MMP‐2. Knockdown of GP73 blocks MMP‐2 trafficking and inhibits cell invasion.
3.3. Knockdown of GP73 inhibits SAPK/JNK and p53‐p21 signalling pathways by a negative feedback loop
The knockdown of GP73 induces the accumulation of intracellular MMP‐2. To further investigate this effect, MHCC‐97H cells were transfected with siGP73s, and cell lysates were collected at 0‐72 hours after transfection. Immunoblotting analysis showed that intracellular MMP‐2 increased at 24 hours after transfection because MMP‐2 trafficking was inhibited. However, the expression of intracellular MMP‐2 was reduced at 48 and 72 hours after transfection, which suggested that the transcription of MMP2 might be inhibited to maintain the equilibrium of intracellular MMP‐2 (Figure 4A).
Intracellular MMP‐2 was purified using immunoprecipitation, and MMP‐2‐interacting proteins were identified using LC‐MS/MS. Src interacted with intracellular MMP‐2. As previously reported,31 p‐Src (Y416) modulated the expression of MMP‐2 to promote cell invasion, and herein, we hypothesized that accumulated intracellular might inhibit the phosphorylation of Src at Y416. Src‐c‐flag fusion protein was expressed in 293T cells, and whether MMP‐2 interacted with Src was determined using coimmunoprecipitation and immunoblotting analysis (Figure 4B). To further confirm our previous hypothesis, exogeneous MMP‐2 was overexpressed in HepG2 cells, revealing that the phosphorylation of p‐Src (Y416) was inhibited (Figure 4C). Further evidence demonstrated that the phosphorylation of p‐Src (Y416) was inhibited at 72 hours after GP73 silencing, which proved that the accumulation of intracellular MMP‐2 indeed inactivated the phosphorylation of p‐Src (Y416) (Figure 4D). To inactivate the phosphorylation of p‐Src (Y416), HepG2 cells were treated with a Src‐specific inhibitor or siRNAs, and the results showed that the phosphorylation of p‐JNK1/2 (T183/Y185) was inhibited (Figure 4E, F). Because p‐JNK1/2 (T183/Y185) functions as a protein kinase by translocating to the nucleus,32 we measured the expression of cytosolic and nuclear p‐JNK1/2 (T183/Y185) after HepG2 cells were transfected with siGP73 for 72 hours. Surprisingly, the knockdown of GP73 not only inhibited the phosphorylation of p‐JNK1/2 (T183/Y185) but also blocked its nuclear translocation (Figure 5A, B). Importin‐3 and importin‐7 participated in the nuclear translocation of p‐JNK1/2 (T183/Y185),33 and it was found that expression of importin‐7 was reduced in HepG2siGP73 groups compared with siNC group (Figure 5C). Coimmunoprecipitation and immunoblotting analysis further verified that p‐JNK1/2 (T183/Y185) interacted with importin‐7 (Figure 5D).34
Because the nuclear translocation of p‐JNK1/2 (T183/Y185) was inhibited, p53‐p21 signalling pathways were blocked, and the phosphorylation of p‐Rb (S780) was inactivated, which led to a reduction in the expression of the transcription factor E2F1 (Figure 5E).35, 36
3.4. Reduction in E2F1 inhibits transactivation of MMP2
As mentioned above, the accumulation of intracellular MMP‐2 activated a negative feedback loop and blocked the expression of factors in the SAPK/JNK and p53‐p21 signalling pathways, leading to the inhibition of p‐Rb phosphorylation (S780). As previously reported, the inactivation of p‐Rb (S780) promoted the formation of the Rb‐E2F1 complex and reduced the content of free E2F1, indicating that the transactivation effect of E2F1 might be inhibited after GP73 silencing (Figure 6A).37, 38 Moreover, E2F1, 2, and 3 serve as transcription factors for MMP9, MMP14, and MMP15, 39 which suggested that E2F1, as a member of the E2F family, might regulate the transcription of MMP2 in similar ways. A potential E2F1 binding site located in the promoter of MMP2 was found, and a chromatin immunoprecipitation (ChIP) assay was performed in HepG2 cells to verify this hypothesis (Figure 6B). Chromatin immunoprecipitation and PCR (ChIP‐PCR) analysis showed that E2F1 interacted with the promoter of MMP2 at the ‐106/‐101 site. The fold enrichment decreased in the siGP73‐72 hours group compared with that in the siGP73‐24 group, which proved that the negative feedback loop was activated and inhibited the transcription of MMP2 (Figure 6C, D). Additionally, luciferase reporter analysis further demonstrated that transcriptional activity was inhibited in the siGP73‐72 hours group, which is consistent with the results derived from the ChIP analysis (Figure 6E).
The data above proved that accumulated intracellular MMP‐2 activated a negative feedback loop and inhibited the SPAK/JNK and p53‐p21 signalling pathways after GP73 silencing, resulting in the inhibition of MMP2 transactivation (Figure 6F). In this way, the equilibrium of intracellular MMP‐2 was maintained.
4. DISCUSSION
In recent years, 90% of HCC‐related mortality incidences correlate with metastasis. The mechanism of HCC metastasis remains complex. GP73, as a serum biomarker, has been comprehensively used in the diagnosis of HCC in recent years and has been associated with the carcinogenesis and metastasis of HCC. The knockdown of GP73 inhibited the expression of EMT‐related factors, such as MMP‐7, CD44 and EGFR.8, 23 However, the regulating and coordinating mechanisms are still poorly understood.
Because GP73 is located in the cis‐Golgi apparatus, mechanistically, it is supposed that highly expressed GP73 might promote the metastasis of HCC through regulating the trafficking of EMT‐related membrane and secretory proteins. Therefore, in our preliminary work, the content of GP73 and other EMT‐related proteins was measured in exosomes derived from 5 normal or liver cancer cell lines to discover a dominant EMT‐related secretory protein closely correlated with GP73. Fortunately, GP73 correlated positively with MMP‐2 in the exosomes (R2 = 0.948) derived from these cell lines, which implied that GP73 might participate in MMP‐2 trafficking and secretion. In follow‐up studies, the knockdown of GP73 induces the accumulation of intracellular MMP‐2 but inhibits MMP‐2 secretion. These results confirm that GP73 plays important roles in MMP‐2 trafficking. Subsequent results indicated that GP73 interacts directly with intracellular MMP‐2 in the region of the cytoplasmic domain and assists in the trafficking and secretion of MMP‐2.
However, the knockdown of GP73 blocks MMP‐2 trafficking and induces the accumulation of intracellular MMP‐2. The accumulation of MMP‐2 inhibits the phosphorylation of p‐Src (Y146) and blocks the SPAK/JNK signalling pathway. Moreover, importin‐7 was reduced in HepG2siGP73 cells using the iTRAQ assay, which blocks the nuclear translocation of p‐JNK1/2 (T183/Y185) and inactivates the factors in p53‐p21 signalling pathways. However, it is difficult to find the reason for the reduction in importin‐7. We deem that the knockdown of GP73 might block the trafficking of other membrane receptors, which inhibits the transcription of IPO7. Finally, the transactivation of MMP2 is suppressed because of the inhibition of E2F1, which maintains the equilibrium of intracellular MMP‐2.
The evidence above reveals that GP73 plays a role in the trafficking and equilibrium of EMT‐related secretory proteins. In addition, we propose that MMP‐2 is not the only trafficking substrate of GP73 because the knockdown of GP73 strongly inhibits cell proliferation and invasion of liver cancer cell lines, which implies that not only the trafficking of MMP‐2 is inhibited. We have identified more trafficking substrates of GP73, and these proteins might be reported in forthcoming studies.
MMPs, especially MMP‐2 and MMP‐9, are highly expressed in pathological tissues derived from patients with metastatic HCC after SIRT treatment.40 In recent years, patients with metastatic HCC have been treated with personalized management and tailored therapy.41, 42, 43 GP73 might be a potential target in tailored therapy targeting metastatic HCC.
This study also indicated that GP73 correlates positively with MMP‐2 in serum derived from HCC patients. GP73 is correlated with the process of HCC, and MMP‐2 is correlated with cell invasion. Because these proteins are closely related to each other, it is supposed that they can serve as serum indicators of metastatic HCC. Unfortunately, insufficient serum samples from HCC patients were collected in this study, and it is illogical to prove that these proteins can serve as proper biomarkers in the diagnosis of metastatic HCC. However, we propose that serum GP73 and MMP‐2 can be excellent serum indicators for the diagnosis of metastatic HCC.
In summary, this study indicates that GP73 plays critical roles in MMP‐2 trafficking. The knockdown of GP73 blocks the secretion of MMP‐2 and suppresses the transactivation of MMP2 by inhibiting the SAPK/JNK and p53‐p21 signalling pathways and finally inhibiting cell invasion. This study provides a potential target in HCC therapeutics.
CONFLICT OF INTEREST
The authors declare that they have no conflict of interest.
Supporting information
ACKNOWLEDGEMENTS
This study was supported by the National Science and Technology Major Project of China (2012ZX10002007), the Project from Department of Science and Technology of Zhejiang Province (2013C14011), and the Project of National Essential Drug Research and Development of China (2013ZX09102051). YML, XDZ, SNZ, and JYS performed the research. YML, LFZ, and ZC designed the research study. YML, XDZ, and ABW analysed the data and wrote the paper. ZC and LFZ provided financial support.
Liu Y, Zhang X, Zhou S, et al. Knockdown of Golgi phosphoprotein 73 blocks the trafficking of matrix metalloproteinase‐2 in hepatocellular carcinoma cells and inhibits cell invasion. J Cell Mol Med. 2019;23:2399–2409. 10.1111/jcmm.14055
Contributor Information
Linfu Zhou, Email: 239zlf@zju.edu.cn.
Zhi Chen, Email: chenzhi@zju.edu.cn.
REFERENCES
- 1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin. 2016;66:7‐30. [DOI] [PubMed] [Google Scholar]
- 2. Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 2015. CA Cancer J Clin. 2016;66:115‐132. [DOI] [PubMed] [Google Scholar]
- 3. Chan SL, Wong VW, Qin S, et al. Infection and cancer: the case of hepatitis B. J Clin Oncol. 2016;34:83‐90. [DOI] [PubMed] [Google Scholar]
- 4. Nguyen DX, Bos PD, Massague J. Metastasis: from dissemination to organ‐specific colonization. Nat Rev Cancer. 2009;9:274‐284. [DOI] [PubMed] [Google Scholar]
- 5. Saha SK, Parachoniak CA, Ghanta KS, et al. Mutant IDH inhibits HNF‐4alpha to block hepatocyte differentiation and promote biliary cancer. Nature. 2014;513:110‐114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Villanueva A, Hoshida Y, Battiston C, et al. Combining clinical, pathology, and gene expression data to predict recurrence of hepatocellular carcinoma. Gastroenterology. 2011;140:1501‐1512 e2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Kladney RD, Cui X, Bulla GA, et al. Expression of GP73, a resident Golgi membrane protein, in viral and nonviral liver disease. Hepatology. 2002;35:1431‐1440. [DOI] [PubMed] [Google Scholar]
- 8. Chen X, Wang Y, Tao J, et al. mTORC1 up‐regulates GP73 to promote proliferation and migration of hepatocellular carcinoma cells and growth of xenograft tumors in mice. Gastroenterology. 2015;149:741‐752 e14. [DOI] [PubMed] [Google Scholar]
- 9. Mao Y, Yang H, Xu H, et al. Golgi protein 73 (GOLPH2) is a valuable serum marker for hepatocellular carcinoma. Gut. 2010;59:1687‐1693. [DOI] [PubMed] [Google Scholar]
- 10. Song YX, Xu ZC, Li HL, et al. Overexpression of GP73 promotes cell invasion, migration and metastasis by inducing epithelial‐mesenchymal transition in pancreatic cancer. Pancreatology. 2018;18:812‐821. [DOI] [PubMed] [Google Scholar]
- 11. Teerlink CC, Huff C, Stevens J, et al. A nonsynonymous variant in the GOLM1 gene in cutaneous malignant melanoma. J Natl Cancer Inst. 2018. 10.1093/jnci/djy058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Yan G, Ru Y, Wu K, et al. GOLM1 promotes prostate cancer progression through activating PI3K‐AKT‐mTOR signaling. Prostate. 2018;78:166‐177. [DOI] [PubMed] [Google Scholar]
- 13. Zhang Y, Hu W, Wang L, et al. Association of GOLPH2 expression with survival in non‐small‐cell lung cancer: clinical implications and biological validation. Biomark Med. 2017;11:967‐977. [DOI] [PubMed] [Google Scholar]
- 14. Zhao Y, Zhang L, Huo L, et al. Clinical significance of fucosylated GP73 in the differential diagnosis of hepatocellular carcinoma. Int J Biol Markers. 2018. 10.1177/1724600818796646. [DOI] [PubMed] [Google Scholar]
- 15. Sai W, Wang L, Zheng W, et al. Abnormal expression of Golgi protein 73 in clinical values and their role in HBV‐related hepatocellular carcinoma diagnosis and prognosis. Hepat Mon. 2015;15:e32918. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Xu Z, Shen J, Pan X, et al. Predictive value of serum Golgi protein 73 for prominent hepatic necroinflammation in chronic HBV infection. J Med Virol. 2018;90:1053‐1062. [DOI] [PubMed] [Google Scholar]
- 17. Zhou N, Wang K, Fang S, et al. Discovery of a potential plasma protein biomarker panel for acute‐on‐chronic liver failure induced by hepatitis B virus. Front Physiol. 2017;8:1009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Yao M, Wang L, Leung P, et al. The clinical significance of GP73 in immunologically mediated chronic liver diseases: experimental data and literature review. Clin Rev Allergy Immunol. 2018;54:282‐294. [DOI] [PubMed] [Google Scholar]
- 19. Cao Z, Li Z, Wang Y, et al. Assessment of serum Golgi protein 73 as a biomarker for the diagnosis of significant fibrosis in patients with chronic HBV infection. J Viral Hepat. 2017;24(Suppl 1):57‐65. [DOI] [PubMed] [Google Scholar]
- 20. Cao Z, Li Z, Wang H, et al. Algorithm of Golgi protein 73 and liver stiffness accurately diagnoses significant fibrosis in chronic HBV infection. Liver Int. 2017;37:1612‐1621. [DOI] [PubMed] [Google Scholar]
- 21. Weiskirchen R, Tacke F. Combining GP73 with liver stiffness measurements: a proof‐of‐concept for non‐invasive fibrosis assessment in antiviral‐naive HBV patients. Liver Int. 2017;37:1605‐1607. [DOI] [PubMed] [Google Scholar]
- 22. Liu T, Yao M, Liu S, et al. Serum Golgi protein 73 is not a suitable diagnostic marker for hepatocellular carcinoma. Oncotarget. 2017;8:16498‐16506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Ye QH, Zhu WW, Zhang JB, et al. GOLM1 modulates EGFR/RTK cell‐surface recycling to drive hepatocellular carcinoma metastasis. Cancer Cell. 2016;30:444‐458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Gontero P, Banisadr S, Frea B, et al. Metastasis markers in bladder cancer: a review of the literature and clinical considerations. Eur Urol. 2004;46:296‐311. [DOI] [PubMed] [Google Scholar]
- 25. Schulz R. Intracellular targets of matrix metalloproteinase‐2 in cardiac disease: rationale and therapeutic approaches. Annu Rev Pharmacol Toxicol. 2007;47:211‐242. [DOI] [PubMed] [Google Scholar]
- 26. Godefroy E, Manches O, Dreno B, et al. Matrix metalloproteinase‐2 conditions human dendritic cells to prime inflammatory T(H)2 cells via an IL‐12‐ and OX40L‐dependent pathway. Cancer Cell. 2011;19:333‐346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Li S, Zhu M, Pan R, et al. The tumor suppressor PTEN has a critical role in antiviral innate immunity. Nat Immunol. 2016;17:241‐249. [DOI] [PubMed] [Google Scholar]
- 28. Wang L, Yin J, Wang X, et al. C‐type lectin‐like receptor 2 suppresses AKT signaling and invasive activities of gastric cancer cells by blocking expression of phosphoinositide 3‐kinase subunits. Gastroenterology. 2016;150:1183‐1195 e16. [DOI] [PubMed] [Google Scholar]
- 29. Kuttkat N, Mohs A, Ohl K, et al. Hepatic overexpression of cAMP‐responsive element modulator alpha induces a regulatory T‐cell response in a murine model of chronic liver disease. Gut. 2017;66:908‐919. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Weng Y, Sui Z, Shan Y, et al. Effective isolation of exosomes with polyethylene glycol from cell culture supernatant for in‐depth proteome profiling. Analyst. 2016;141:4640‐4646. [DOI] [PubMed] [Google Scholar]
- 31. Qian X, Li G, Vass WC, et al. The Tensin‐3 protein, including its SH2 domain, is phosphorylated by Src and contributes to tumorigenesis and metastasis. Cancer Cell. 2009;16:246‐258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Zeke A, Misheva M, Remenyi A, et al. JNK signaling: regulation and functions based on complex protein‐protein partnerships. Microbiol Mol Biol Rev. 2016;80:793‐835. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Zehorai E, Seger R. Beta‐like importins mediate the nuclear translocation of mitogen‐activated protein kinases. Mol Cell Biol. 2014;34:259‐270. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 34. Liu J, Yang D, Minemoto Y, et al. NF‐kappaB is required for UV‐induced JNK activation via induction of PKCdelta. Mol Cell. 2006;21:467‐480. [DOI] [PubMed] [Google Scholar]
- 35. Holzer RG, Park EJ, Li N, et al. Saturated fatty acids induce c‐Src clustering within membrane subdomains, leading to JNK activation. Cell. 2011;147:173‐184. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Haigis KM, Sweet‐Cordero A. New insights into oncogenic stress. Nat Genet. 2011;43:177‐178. [DOI] [PubMed] [Google Scholar]
- 37. Polager S, Ginsberg D. p53 and E2f: partners in life and death. Nat Rev Cancer. 2009;9:738‐748. [DOI] [PubMed] [Google Scholar]
- 38. Mushtaq M, Gaza HV, Kashuba EV. Role of the RB‐interacting proteins in stem cell biology. Adv Cancer Res. 2016;131:133‐157. [DOI] [PubMed] [Google Scholar]
- 39. Johnson JL, Pillai S, Pernazza D, et al. Regulation of matrix metalloproteinase genes by E2F transcription factors: Rb‐Raf‐1 interaction as a novel target for metastatic disease. Cancer Res. 2012;72:516‐526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Golubnitschaja O, Yeghiazaryan K, Stricker H, et al. Patients with hepatic breast cancer metastases demonstrate highly specific profiles of matrix metalloproteinases MMP‐2 and MMP‐9 after SIRT treatment as compared to other primary and secondary liver tumours. BMC Cancer. 2016;16:357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Golubnitschaja O, Sridhar KC. Liver metastatic disease: new concepts and biomarker panels to improve individual outcomes. Clin Exp Metastasis. 2016;33:743‐755. [DOI] [PubMed] [Google Scholar]
- 42. Golubnitschaja O, Polivka JJ, Yeghiazaryan K, et al. Liquid biopsy and multiparametric analysis in management of liver malignancies: new concepts of the patient stratification and prognostic approach. EPMA J. 2018;9:271‐285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Abraham JA, Golubnitschaja O. Time for paradigm change in management of hepatocellular carcinoma: is a personalized approach on the horizon? Per Med. 2016;13:455‐467. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.