CD44 potentiates hepatocellular carcinoma migration and extrahepatic metastases via the AKT/ERK signaling CXCR4 axis
Introduction
Hepatocellular carcinoma (HCC), which has a 5-year survival rate <20% (1,2), is still the leading cause of cancer-related death in less developed countries (3). The high mortality rate of HCC is mainly related to its frequent recurrence or metastasis after curative therapy. Extrahepatic metastasis (EHM) is one of the most important causes of poor prognosis and may occur at the time of recurrence or in patients who present with advanced HCC (4,5). The most common site of HCC EHM is the lung, followed by lymph node, bone, adrenal gland, and peritoneum (6,7). The presence of EHM is a critical barrier to further improving the overall survival (OS) of HCC patients; however, there is a definite lack of evidence and pertinent studies on its underlying mechanism, and even fewer studies on the key molecules involved in the process.
Cluster of differentiation 44 (CD44), which is both a cell-cell and cell-stromal adhesion protein, is a plasma membrane protein that is often overexpressed in tumor cells, and is indicative of poor survival in most solid cancers. The changes and effects of CD44 on the histomorphology of HCC is few reported. But CD44 have been regarded as an essential marker in histochemistry staining of tumor biopsies because the numbers of tumor-associated macrophages (TAMs) correlated with the numbers of CD44(+) cells (8). It has been reported that CD44 is related to tumor malignancy, and indicates an unfavorable prognosis in multiple malignancies, including breast cancer (9), gastric cancer (10), and liver cancer (11). However, the role of CD44 in HCC EHM remains elusive, and understandings of its underlying mechanism need to be extended.
CXC chemokine receptors (CXCRs) are integral membrane proteins that specifically bind and respond to cytokines of the CXC chemokine family. The important role of CXCRs in liver repair and regeneration has been thoroughly analyzed (12), and some CXCRs have been found to have close relationship with tumor prognosis; for example, CXCR4 was found to be overexpressed in at least 23 different cancer types, including HCC (13), and is associated with more aggressive diseases and a poorer prognosis. To date, only limited research appears to have been conducted on the relationship between CD44 and CXCRs, and their roles in the EHM of HCC.
In this study, we found that CD44 was a potent predictor of EHM and the OS of HCC patients. Our in-vitro study showed that the knockdown of CD44 resulted in the significant inhibition of HCC cell migration, invasion, and colony formation. Additionally, our in-vivo study showed that HCC invasion and lung metastasis were significantly enhanced in the CD44 overexpression group. Mechanistically, among all of the CXCR1-7 molecules, silencing CD44 resulted in the maximum reduction of CXCR4 via the downregulation of the protein kinase B (AKT)/extracellular signal-regulated kinase (ERK) signaling pathway, which was supported by a reduced migration ability in response to stromal cell-derived factor 1α (SDF-1α). The inhibition of AKT and ERK significantly blocked the chemotactic responses of the HCC cells triggered by SDF-1α. In this study, we clarified the regulating mechanism between CD44 and CXCR4. To the best of our knowledge, we for the first time illustrated the relationship between CD44 and the CXCR4/SDF-1α axis in the EHM of HCC, which might become an important therapeutic target in the future. We present the following article in accordance with the ARRIVE and MDAR reporting checklists (available at https://atm.amegroups.com/article/view/10.21037/atm-22-2482/rc).
Methods
Patients and specimens
We enrolled 2 independent cohorts comprising a total of 338 HCC patients from a single liver cancer center (Liver Cancer Institute, Zhongshan Hospital, Fudan University) in this study. Cohort 1 comprised 76 patients, of whom 38 (the EHM group) were selected between 2002 and 2007 from patients with EHM HCC at the time of hepatic resection, or during follow-up. Both primary HCC tissues in the liver and EHM tissues were collected by surgical resection or needle aspiration. Cohort 2, our independent validation cohort, comprised 262 HCC patients, who were recruited from the same institute in the year 2006. The HCC diagnosis was according to the World Health Organization’s criteria. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013) (14). The study was approved by the Research Ethics Committee of the Zhongshan Hospital, Fudan University (No. 2006-653). Informed consent was taken from all the patients.
Table 1 sets out the baseline clinicopathologic characteristics of all the patients in Cohort 2. The follow-up procedures and treatment modalities after relapse have been described in previous study (15). OS was defined as the interval between the dates of surgery and death or the last observation. Time to recurrence (TTR) was defined as the time between the first surgery and the first report of intrahepatic or distant recurrence (excluding patients who had died from non-liver cancer causes before recurrence) (16). The data for patients who had not relapsed or died were censored at the last follow-up date.
Table 1
Characteristics | Intratumoral CD44 Level | Intratumoral CXCR4 Level | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
High (n=59) | Low (n=203) | P value | High (n=56) | Low (n=206) | P value | ||||||||
No. of patients | % | No. of patients | % | No. of patients | % | No. of patients | % | ||||||
Age (years) | 52.92 | 52.08 | 0.609 | 51.95 | 52.35 | 0.807 | |||||||
Sex | 0.815 | 0.707 | |||||||||||
Male | 51 | 86.4 | 173 | 85.2 | 47 | 83.9 | 117 | 85.9 | |||||
Female | 8 | 13.6 | 30 | 14.8 | 9 | 16.1 | 29 | 14.1 | |||||
Hepatitis B history | 0.173 | 0.550 | |||||||||||
Yes | 47 | 79.7 | 180 | 88.7 | 47 | 83.9 | 180 | 87.4 | |||||
No | 11 | 18.6 | 22 | 10.8 | 8 | 14.3 | 25 | 12.1 | |||||
AFP, U/L | 5,979.8 | 4,636.8 | 0.518 | 7,725.41 | 4,181.84 | 0.093 | |||||||
ALT, U/L | 53.42 | 53.49 | 0.994 | 51.11 | 54.12 | 0.745 | |||||||
Liver cirrhosis | 0.029 | 0.104 | |||||||||||
Yes | 6 | 10.2 | 47 | 23.2 | 7 | 12.5 | 46 | 22.3 | |||||
No | 53 | 89.8 | 156 | 76.8 | 49 | 87.5 | 160 | 77.7 | |||||
Tumor number | 0.062 | 0.080 | |||||||||||
Single | 42 | 71.2 | 167 | 82.3 | 40 | 71.4 | 169 | 82 | |||||
Multiple | 17 | 28.8 | 36 | 17.7 | 16 | 28.6 | 37 | 18 | |||||
Tumor size, cm | 7.29 | 5.93 | 0.043 | 6.673 | 6.119 | 0.418 | |||||||
Intrahepatic metastasis | 0.062 | 0.080 | |||||||||||
Yes | 17 | 28.8 | 36 | 17.7 | 16 | 28.6 | 37 | 18.0 | |||||
No | 42 | 71.2 | 167 | 82.3 | 40 | 71.4 | 169 | 82.0 | |||||
Tumor encapsulation | 0.912 | 0.560 | |||||||||||
Complete | 28 | 47.5 | 98 | 48.3 | 25 | 44.6 | 101 | 49.0 | |||||
No | 31 | 52.5 | 105 | 51.7 | 31 | 55.4 | 105 | 51.0 | |||||
Recurrence in 1 year | 0.000 | 0.000 | |||||||||||
Yes | 28 | 47.5 | 46 | 22.7 | 28 | 50.0 | 46 | 22.3 | |||||
No | 31 | 52.5 | 157 | 77.3 | 28 | 50.0 | 160 | 77.7 | |||||
Microvascular invasion | 0.213 | 0.182 | |||||||||||
Yes | 28 | 47.5 | 78 | 38.4 | 27 | 48.2 | 79 | 38.3 | |||||
No | 31 | 52.5 | 125 | 61.6 | 29 | 51.8 | 127 | 61.7 | |||||
TNM stage | 0.1 | 0.019 | |||||||||||
I | 21 | 35.6 | 102 | 50.2 | 21 | 37.5 | 102 | 49.5 | |||||
II | 18 | 30.5 | 60 | 29.6 | 14 | 25.0 | 64 | 31.1 | |||||
III | 17 | 28.8 | 37 | 18.2 | 20 | 35.7 | 34 | 16.5 | |||||
IV | 3 | 5.1 | 4 | 2 | 1 | 1.8 | 6 | 2.9 |
AFP, alpha-fetoprotein; ALT, alanine aminotransferase; TNM, tumor-node-metastasis.
Tissue microarray (TMA) and IHC
The TMAs and immunohistochemistry (IHC) of serial TMAs were constructed as previously described (17). All the HCC cases were histologically reviewed by hematoxylin and eosin (H&E) staining. Duplicate cylinders from intratumoral and peritumoral areas (a total of 4 punches per patient) were obtained. The primary monoclonal antibody was CD44 (#37259) obtained from Cell Signaling Technology (Danvers, MA, USA). After immunostaining for 5 mins, the reaction products were visualized using a diaminobenzidine tetrahydrochloride (DAB) Detection Kit (Maixin Biotechnology, Fuzhou, China). IHC staining was assessed by 2 independent pathologists with no previous knowledge of patient characteristics. Discrepancies were resolved by consensus. Membranous CD44 expressions were interpreted according to previous study (18). The staining extent score used a scale of 0–3 that corresponded to the percentage of immunoreactive tumor cells (0%, 1–25%, 26–50%, and >50%, respectively). The staining intensity was scored as negative (score =0), weak (score =1), or strong (score =2). A score ranging from 0–6 was calculated by multiplying the staining extent score with the intensity score.
Cell culture and reagents
The HCC cell lines with stepwise metastatic potential (MHCC97H and HCCLM3) generated on the same genetic background were established at our institute (19). HepG2, Huh7, and PLC/RFP/5 were obtained from the Chinese Academy of Sciences. Dulbecco’s modified Eagle’s medium (DMEM; Thermo Fisher Scientific, Waltham, MA, USA) containing 10% fetal bovine serum (FBS) (Thermo Fisher Scientific) was used to culture the cells. All the cell lines were incubated in a humidified incubator containing 5% carbon dioxide at 37 ℃. LY294002, PD98059, and SDF-1α were purchased from Cell Signaling Technology (Danvers).
Plasmids, lentivirus package, and infection
The complementary deoxyribonucleic acid (cDNA) corresponding to human CD44 was introduced into the plenti6.3-IRES2-EGFP, and the lentivirus was packaged according to the Nature Protocol (20). The CD44 overexpression cell lines were achieved by lentivirus infection and Blasticidin selection. The following 3 targets were chosen for CD44 knockdown: 5'-CCGTTGGAAACATAACCATTA-3', 5'-GGACCAATTACCATAACTATT-3', and 5'-CGCTATGTCCAGAAAGGAGAA-3'. The scramble short-hairpin ribonucleic acid (shRNA) sequence for the control was 5'-CCTAAGGTTAAGTCGCCCTCG-3'. Stable cell lines were obtained using the Addgene Protocol (21). The functional reconstruction of CD44 was achieved by introducing a new engineered shRNA-insensitive CD44 open reading frame (ORF). Specifically, the sequence of 5'-CGCTATGTCCAGAAAGGAGAA-3' was nonsense mutated to 5'-AGATACGTGCAGAAAGGAGAA-3' by site-directed mutation.
Orthotopic growth of HCC tumors in animal models
LM3-wt (HCC-LM3 without modification), LM3-LV-shNT, LM3-LV-shCD44, and LM3-LV-shCD44-RES (1×107) were subcutaneously inoculated into the right flanks of 6-week-old BALB/c male mice, which were purchased from Shanghai model organisms company After 3–4 weeks, non-necrotic tumor tissues were cut into 1 mm3 pieces and orthotopically implanted into the liver. Tumor samples were then extracted for further analysis. Under a blinded condition, all the animals were randomly allocated into different groups by a technician. Animal experiments were performed under a project granted by the Animal Ethics Committee of Zhongshan Hospital, Fudan University (No. 2020632), in compliance with the National Institutes of Health “Guide for the Care and Use of Laboratory Animals” for the care and use of animals. A protocol was prepared before the study without registration.
Cell proliferation, migration, and invasion assays
96-well plates (5×103 cells/well) were culture cells for 24, 48, or 72 h. The methods for cell growth has been referred previously (19). Cell migration was evaluated through Transwell assays (Boyden Chambers, Corning, Cambridge, MA, USA). Generally, 6×104 cells in serum-free DMEM were cultured on membranes (8.0-µm pores) in a 24-well plate. Lower chamber of each well was added with DMEM containing 10% FBS. 48 h later, Giemsa (Sigma Chemical Co., St Louis, MO, USA) was used to stain cells which had reached the underside of the membranes and cells were counted at 200× magnification. The cell invasion assays were performed similarly, except that 10 µL of Matrigel (BD Biosciences, Franklin Lakes, NJ) was added to each well 6 h before the cells were seeded on the membranes.
To determine the impact of CD44 with exogenous SDF-1α–induced tumor cell migration, cell migration assays were performed as mentioned before except that the lower chamber contained different concentrations of SDF-1α instead of 10% FBS.
To determine the combined inhibitory effect of hyaluronan and AMD 3100 (Plerixafor, chemokine receptor 4 inhibitor), the cells suspended in 2% tetracycline-free FBS containing medium were cultured in the upper chamber of the inserts and treated with AMD3100 (100 ng/mL). The culture medium in the lower chamber contained HA (100 ng/mL). The cells without any treatment served as a control in these experiments. After treating for 24 h, the number of migrated cells was counted as mentioned before.
Western blot analysis
The procedures used in this study have been described elsewhere (19). The primary antibodies included anti-CD44 (#37259), anti-AKT (#37259), phospho-Akt (#4060), anti-ERK (#9102), and phospho-ERK (#4370), which were obtained from Cell Signaling Technology (Danvers). CXCR4 (ab124824) was obtained from Abcam (Cambridge, UK).
Real-time polymerase chain reaction (RT-PCR) analysis
The primers used in the RT-PCR are listed in Table S1. RNA was extracted using Trizol Reagent (Takara, Japan), and the messenger RNA (mRNA) was transcripted to cDNA with m-mlv reverse-transcriptase (Promega, USA) following the user’s manual. The RT-PCR analysis was conducted on ABI 9700 using a Power SYBR Green® PCR Master Mix (Life Technology, Carlsbad, CA, USA).
Statistical analysis
The χ2 test or the Fisher exact test as appropriate were used to analyze the associations between the immunoreactive markers and clinicopathologic variables. The Pearson χ2 test or Fisher exact test was applied in the qualitative variables comparation, and the t test was used to compare the quantitative variables. Survival curves of the patients were plotted employing the Kaplan-Meier method, and the log-rank test was used to compare the differences. The Cox regression model for the multivariate analysis only used factors which achieved statistical significance in the univariate analysis (P<0.05). All the statistical analyses were performed using SPSS 16.0 statistical software (SPSS Inc., Chicago, IL, USA).
Results
High expression of CD44 in high metastatic HCC cell lines and HCC tissues with EHM
We began the study with an analysis of CD44 protein level in different HCC cell lines with varying metastatic potential. Among the examined HCC cell lines, CD44 was readily detected in the Huh7, MHCC-97H, and HCCLM3 cells, and was correlated with a high-invasion capacity in the nude mice. Conversely, and absence of CD44 or very low CD44 levels were found in HCC cell lines that were relatively less metastatic (i.e., HepG2, and PLC) (see Figure 1A).
Based on the results of variant CD44 expression in the HCC cell lines, we next analyzed CD44 protein expression levels using TMAs based on an IHC staining study of 76 patients (15 HCC pairs with primary and lung tumor nodules, 14 HCC pairs with primary and lymph node metastatic lesions, 9 HCC pairs with primary and adrenal gland tumor sites, and 38 HCC patients without distant metastasis in the 5-year follow-up after resection). We found that patients suffering EHM had much higher expression levels of CD44 than those without EHM (non-EHM, NM) (see Figure 1B). Generally, CD44 was mainly expressed in the cell membrane, and was rarely expressed in the cytoplasm or nucleus (see Figure 1C).
In all, our findings suggested that CD44 plays a key role in the metastatic process of HCC and might be a good predictor of EMH in HCC patients.
CD44 upregulation in HCC patients is correlated with poor clinical outcomes and early recurrence
To study the correlation between CD44 expression and clinical outcomes, we analyzed CD44 expression in HCC specimens derived from 262 postoperative HCC patients with available 5-year follow-up data (see Table 1). All the patients were allocated to CD44 low (n=203) or high (moderate and strong, n=59) groups, except for 2 patients whose specimens were deciduous during the IHC staining. The Kaplan-Meier analysis showed that HCC patients with high CD44 expression had significantly worse OS than those with low CD44 expression (median OS: 36 vs. >63 months; Log Rank (LR) =15.179; P=0.001; see Figure 1D). In the 5-year follow-up period, 49 of the 80 patients died (61.3%) in the CD44 high-expression group compared to 68 of 180 patients (37.8%) in the CD44 low expression group. Another feature distinguishing the CD44 high group from the CD44 low group was the former’s significantly shortened TTR (median TTR: 36 vs. >63 months; LR =12.931; P=0.005; see Figure 1E).
Other factors that had significant predictive value in relation to the OS and TTR of the patients in the univariate analysis included large tumor size, the presence of intrahepatic metastasis, no encapsulation, microvascular invasion, and an advanced tumor-node-metastasis (TNM) stage. High alpha-fetoprotein (AFP) levels and liver cirrhosis were also associated with OS and disease-free survival, respectively. The significant factors in the univariate analysis were included in the multivariate Cox proportional hazards analysis (see Table 2). Altogether, the results of the analysis indicated that CD44 was an independent risk factor for both OS [hazard ratio (HR) =1.485; P=0.045] and TTR (HR =1.663; P=0.016).
Table 2
Features | OS | TTR | |||||||
---|---|---|---|---|---|---|---|---|---|
Univariate, P value | Multivariate | Univariate, P value | Multivariate | ||||||
Hazard ratio | 95% CI | P value | Hazard ratio | 95% CI | P value | ||||
Age: <51 vs. ≥51 years | 0.376 | NA | 0.403 | NA | |||||
Gender: female vs. male | 0.519 | NA | 0.272 | NA | |||||
Hepatitis B history: yes vs.no | 0.587 | NA | 0.791 | NA | |||||
Liver cirrhosis: yes vs. no | 0.385 | NA | 0.075 | NA | |||||
AFP: <400 vs. ≥400 ng/mL | 0.008 | NA | 0.850 | NA | |||||
Preoperative ALT: ≤75 vs. >75 U/L | 0.885 | NA | 0.778 | NA | |||||
Tumor size: ≤5 vs. >5 cm | <0.001 | NA | <0.001 | NS | |||||
Tumor encapsulation: complete vs. none | <0.001 | 1.543 | 1.049–2.270 | 0.027 | 0.037 | NA | |||
Microvascular invasion: yes vs. no | <0.001 | NA | 0.013 | NA | |||||
Intrahepatic metastasis: yes vs. no | <0.001 | NA | 0.010 | NS | |||||
TNM stage: IIIa vs. II vs. I | <0.001 | 2.177 | 1.609–2.945 | <0.001 | <0.001 | 1.915 | 1.361–2.695 | <0.001 | |
Intratumoral features: low vs. high | |||||||||
CD44 level | 0.001 | NA | 0.005 | NA | |||||
CXCR4 level | 0.001 | NA | 0.009 | NA | |||||
Combined CD44 and CXCR4 level | <0.001 | 1.197 | 1.024–1.399 | 0.024 | 0.004 | 1.300 | 1.092–1.546 | 0.003 |
OS, overall survival; TTR, time to recurrence; AFP, alpha-fetoprotein; ALT, alanine aminotransferase; TNM, tumor-node-metastasis.
CD44 promotes HCC cell colony formation and tumorigenicity in vivo
Tumor cell proliferation, migration, invasion, and colony formation in distant organs are the most important steps in the cascade of tumor metastasis. Considering the clinical findings and high expression of CD44 in metastatic HCC cell lines, we conjectured that CD44 might play a key role in the metastatic process of HCC. To optimize our in-vitro experiments, we generated a series of lentivirus-mediated CD44-specific shRNAs to silence the expression of CD44 (shCD44) in highly aggressive HCCLM3 and Huh-7 cells. The control cells were infected with the lentivirus expressing the scrambled shRNA precursor. Among the 3 shCD44 vectors, the shCD44 #2 vector, which showed the best knock down effect in endogenous CD44 expression based on western blotting validation, was chosen for the subsequent studies (see Figure 2A).
First, we sought to assess the effects of CD44 on HCC proliferation. Somewhat surprisingly, silencing endogenous CD44 in the HCCLM3 and Huh7 cells had very little effect on cell proliferation (see Figure 2B), which excluded the possibility that acute CD44 depletion is toxic to cells. However, the results of the colony formation assays showed that introducing shCD44 to the HCC-LM3 cells resulted in the significant inhibition of colony formation (see Figure 2C, left panel), and similar results were found in the Huh7 cells (see Figure 2D, left panel). Conversely, the overexpression of CD44 significantly increased the colony formation compared to lentiviral-green fluorescent protein (LV-GFP)-treated cells in the lower CD44 expression HCC cell lines of HepG2 and PLC (see Figure 2C,2D, right panel). To exclude the possibility of off-target effects, we reintroduced CD44 with CD44-cDNA engineered to be insensitive to shRNA (shRES) into the CD44 knockdown cells to examine whether the re-expression of CD44 rescued the migration and invasion features. We found that as a result of the reintroduction of CD44, the HCC cells’ colony formation ability recovered to an almost normal level (see Figure 2C,2D).
To determine whether CD44 promotes the tumorigenicity of HCC in vivo, HCC-LM3-shCTRL, HCC-LM3-shCD44, and HCC-LM3-shRES were separately transplanted into the nude mice subcutaneously, and intact subcutaneous tumor tissues (1 mm × 1 mm × 1 mm) derived from the indicated cell lines (n=6 mice/group) were orthotopically impanated into the nude mice. We found that 8 weeks after orthotopic implantation, the weights of the HCC-LM3-shCD44-derived xenografts were significantly lighter than the HCC-LM3-shCTRL- and HCC-LM3-shRES derived xenografts (see Figure 2E). Further, compared to the mice implanted orthotopically with HCC-LM3-shCTRL, the mice implanted orthotopically with HCC-LM3-shCD44 had a significantly longer survival rate (at day 65, shCTRL vs. shCD44, survival rate =0% vs. 75%, P=0.001; see Figure 2F).
CD44 promotes HCC migration and invasion in vitro and in vivo
To further investigate the role of CD44 in HCC migration and invasion, we performed transwell migration and invasion assays in 3 independent experiments, and found a positive correlation between CD44 and HCC cell invasion (see Figure 3A) and migration (see Figure 3B,3C). Specifically, we found that shCD44 reduced the migration and invasion ability significantly in CD44 high-expression HCC cells, while CD44 overexpression in HepG2 had the opposite effects. Further, following the reintroduction of CD44, shCD44-HCC-LM3 migration and invasion almost recovered to normal levels (see Figure 3A-3C). Similarly, in the wound-healing migration assays, microscopic examination at 24 and 48 h revealed a significant delay in the wound closure rate of shCD44 HCC-LM3 compared to that of the control group (see Figure 3D,3E).
In our in-vivo experiments, 2×105 GFP-HepG2 or GFP-HepG2-CD44 cells were injected into nude mice (n=6) via the tail vein. After 14 days, the formation of tumor foci in the lungs was evaluated using a fluorescence stereomicroscope imaging system. All the mice injected with the GFP-HepG2-CD44 cells showed tumor formation in the lungs, which was confirmed by H&E staining. Conversely, only 2 of the 6 mice injected with the GFP-HepG2 cells showed tumor formation in the lungs (see Figure 3F,3G).
CD44 regulates the expression of CXCR4 and the response of HCC cells to SDF-1α
To determine whether CD44 affected the expression of the CXC chemokine receptors, we performed quantitative RT-PCR to detect CXCR1-7 expression with or without CD44 knockdown. We found that the expression level of CXCR4 was the highest among CXCR1-7 in MHCC-97H, and the downregulation of CD44 resulted in the maximum reduction of CXCR4 (see Figure 4A). The subsequent verification test showed that CD44 was positively correlated with CXCR4 protein levels in multiple HCC cell lines treated with shCD44 (see Figure 4B). To exclude the possibility that CD44 was the downstream molecule of CXCR4, we detected the expression of CD44 in the HCCLM3 cell line when stable CXCR4 was silenced. The results of the western blot showed that there was no difference in the expression of CD44 between the CXCR4 high and low expression groups (see Figure 4C). To further confirm the correlation between CD44 and CXCR4 expression in HCC cells, we treated cells with HA, an important ligand of CD44, and observed a significant increase of CXCR4 expression in a time- and dose-dependent manner (see Figure 4D). Thus, our results showed that CD44 plays an indispensable role in maintaining CXCR4 expression in HCC cells.
To examine the role of CXCR4 in CD44 mediating the migration of HCC cells, we detected the migration ability of the shCTRL-HCCLM3 cells and shCD44-HCC-LM3 cells in response to SDF-1α. As Figure 4E shows, the transwell migration assays demonstrated that the migration ability of shCD44-HCCLM3 cells in response to serial concentrations of SDF-1α (0–100 ng/mL) was at least two times less than that of the shCTRL-HCCLM3 cells, and the reintroduction of exogenous CD44 to the CD44-silenced cells almost returned migration repression back to normal levels.
CXCR4 underpins the role of HA/CD44 in promoting the migration of HCC cells
To explore whether the expression of CXCR4 is necessary in sustaining the HA/CD44 role of promoting migration, a pharmacologic approach was used first with a specific CXCR4 antagonist AMD3100 (22) to attenuate CXCR4 activity. HA/CD44-promoting motility was abrogated by AMD3100 in a concentration-dependent manner (see Figure 4F). Next, we generated a series of lentivirus-mediated small-inhibitory RNAs to silence the expression of CXCR4 in HCC-LM3. CXCR4 knockdown significantly reduced the migration of HCC-LM3 cells, but there was no obvious change in the expression of CD44. Further, reintroducing CD44 produced a slight effect in restoring the HA stimulating migration of HCC-LM3-shCD44 when CXCR4 was simultaneously knocked down, whereas reintroduction of CD44 and CXCR4 together produced a significant effect (see Figure 4G).
HA-CD44–induced CXCR4 upregulation is AKT/ERK-activity dependent
The roles of the PI3K/AKT and MEK pathways in modulating tumor cells motility are well established. Thus, to better characterize the molecular mechanism by which CD44 regulates CXCR4 in HCC, we first compared AKT and ERK activation between CD44 high and low conditions. We found that the phosphorylation of AKT and ERK increased at indicated times in the condition of HA stimulation in the CD44 high-expression HCC-LM3 cells, while the HA-stimulated activation of AKT and ERK was inhibited when CD44 was downregulated (see Figure 5A,5B). These data indicated that CD44 plays a critical role in AKT and ERK phosphorylation during the HA-induced migration of HCC-LM3 cells.
To further confirm that the observed downregulation of CXCR4 and migration inhibition were dependent on AKT and ERK signaling, we treated the HCC-LM3 cells with AKT and ERK inhibitors and subsequently measured the expression of CXCR4 and cell migration, respectively. In relation to the cells treated with the AKT inhibitor LY294002 (5 µM), we found that the expression of CXCR4 was decreased in the HCC-LM3-shCTRL cells, while in the HCC-LM3-shCD44 cells, the expression of CXCR4 was low in the absence or presence of the LY294002 treatment synchronously (see Figure 5C). Similar results were found in relation to the HCC-LM3-shCTRL and HCC-LM3-shCD44 cells treated with the ERK inhibitor PD98059 (see Figure 5D). Further, the inhibition of AKT or ERK activation resulted in a 2–3-fold inhibition of migration in the HCC-LM3-shCTRL cells when higher concentration of LY294002 or PD98059 were used (see Figure 5E).
Discussion
In addition to participating in the development and maintenance of tissue architecture, cell adhesion molecules serve as cell surface receptors and are critical for capturing, integrating, and transmitting signals from the extracellular milieu to the cell interior, and thus play a key role in modulating tumor metastasis. Among a wide variety of adhesion molecules, CD44 and CXCR4 are 2 molecules that have been the subject of increasing studies in recent years. However, currently, the relationship between CD44 and CXCR4 and their combined role in HCC metastasis are largely unknown.
In this study, we confirmed that the expression of CD44 was low in non-invasive HCC cells, but high in invasive HCC cells, which suggests that CD44 plays a promoting role in HCC metastasis. In relation to the prognostic value of CD44, we found that CD44 was correlated with tumor size, AFP level, OS, and TTR. Our univariate and multivariate analyses showed that HCC patients with high levels of CD44 expression generally had worse OS and increased recurrence than those with low levels of CD44 expression. In line with the results of the clinical analysis, we showed the effects of the HA/CD44 interaction on HCC migration and metastasis in our in-vitro and in-vivo studies. Downregulating the expression of CD44 severely inhibited the migration of the HCC cells. Notably, we found that CD44 upregulated the expression of CXCR4 through the AKT and ERK signaling pathway, and the expression of CXCR4 was critical in the HA-CD44 pro-metastasis role. The combination of CD44 and CXCR4 had significant prognostic value in HCC after hepatectomy.
Our previous study (23) and other studies (24-26) have shown that CD44 is aberrantly expressed in HCC and is implicated in the metastatic process. Additionally, it is reported that miR-199a-3p can target CD44 to inhibit the growth of HCC cells (27). A long non-coding RNA (lncRNA) called nuclear enriched abundant transcript 1 (NEAT1) is also required in CD44 expression for liver cancer (28). However, only limited research has been conducted on the role of CD44 in HCC migration and the relationship between CD44 and CXCR4. Previous studies have shown that the high expression of CD44 is correlated with a poor prognosis in bladder cancer patients (29,30). Similarly, previous study has shown that the downregulation of CD44 expression inhibited liver metastases in breast cancer patients (31). In the present study, HCC patients with high expressions of CD44 were prone to suffer from early recurrence and poor OS.
Our findings extend understandings of CD44-promoted invasion in HCC. The downregulation of CD44 resulted in the apparent decrease of CXCR4 among CXCR1-7 molecules. Given that SDF-1α, the ligand of CXCR4, is highly expressed in preferentially targeted organs (the lungs and bones) of HCC patients, we detected the expression of CXCR4 in CD44 high and low expression HCC cells, and found that HA/CD44 upregulated the expression of CXCR4, while the level of CXCR4 had little effect on the expression of CD44. Additionally, the CXCR4 inhibitor AMD3100 attenuated the HA-induced migration of CD44 high-expression ß HCC-LM3 cells. Further, the migration of HCC-LM3 increased significantly when HCC-LM3 was treated with SDF-1α/CXCL12, which was inhibited in HCC-LM3-shCD44. Notably, the migration of HCC-LM3-shCD44 was recovered when shCD44 insensitive CD44-cDNA was reintroduced. In-vitro results have shown that SDF-1α significantly stimulates the migration of CXCR4 high-expression HCC cells (32) and gastric carcinoma cells (33). To further investigate the role of CD44 in HCC progression, an in-vivo orthotopic mice model was adopted, and the results showed that compared to the HCC-LM3-shCTRL group, downregulating CD44 decreased HCC growth and prolonged survival significantly, while restoring the expression of CD44 led to higher tumor weights and shorter survival. Collectively, the results of the in-vitro and in-vivo experiments suggest that CD44 is crucial in HCC migration and metastasis, and the upregulation of CXCR4 might be a key step in maintaining its pro-metastasis role.
In addition to its adhesion function, CD44 also plays a key role in converting mechanical forces to biochemical signals. Sporadic studies have indicated that HA-CD44 mediates the migration of cancer cells, which may be related to the activation of AKT, ERK, and janus kinase 2 (JAK2)/signal transducer and activator of transcription 3 (STAT3) (34-36). We found that the HA-CD44 axis was able to activate the AKT and ERK pathway and stimulate HCC-LM3 cell migration, and similar results have been found in relation to breast cancer (36). Notably, the inhibition of AKT and ERK by AKT and ERK inhibitors, respectively, significantly blocked the chemotactic responses of the HCC cells triggered by HA or SDF-1α. Thus, the CD44-promoted increase in CXCR4 may be AKT/ERK-activity dependent, and play an essential role in assisting in the migration and invasion of HCC.
In summary, we identified the importance of CD44 in underpinning the migration and invasion of HCC and showed the predictive role of CD44 in OS and recurrence after hepatectomy. Our results indicate that CD44 promotes HCC cell migration and invasion by activating the AKT/ERK signaling pathway to upregulate CXCR4 expression (see Figure 6). The capacity of CD44 to induce the expression of CXCR4 and the increased propensity of HCC to invade and metastasize to specific distant organs is consistent with the aggressive clinical characteristics of HCC. Our findings provide new insight into the roles of CD44 in CXCR4-mediated HCC progression, and CD44 may be a potential target for HCC therapy.
Acknowledgments
Funding: This work was funded by the National Nature Science Foundation of China (Nos. 82102959, 82172739, 81871924, 82072666, 81802893, and 81972829), the Shanghai Natural Science Foundation (No. 21ZR1481900), the Beijing Xisike Clinical Oncology Research Foundation (No. Y-Roche2019/2-0037), the Beijing iGandan Foundation (No. GDXZ-08-06), the Zhongshan Talent Development Program (No. 2021ZSYQ11).
Footnote
Reporting Checklist: The authors have completed the ARRIVE and MDAR reporting checklists. Available at https://atm.amegroups.com/article/view/10.21037/atm-22-2482/rc
Data Sharing Statement: Available at https://atm.amegroups.com/article/view/10.21037/atm-22-2482/dss
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-22-2482/coif). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Research Ethics Committee of the Zhongshan Hospital, Fudan University (No. 2006-653). Informed consent was taken from all the patients. Animal experiments were performed under a project license (No. 2020632) granted by the Animal Ethics Committee of Zhongshan Hospital, Fudan University, in compliance with the National Institutes of Health “Guide for the Care and Use of Laboratory Animals” for the care and use of animals.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
References
- Allemani C, Weir HK, Carreira H, et al. Global surveillance of cancer survival 1995-2009: analysis of individual data for 25,676,887 patients from 279 population-based registries in 67 countries (CONCORD-2). Lancet 2015;385:977-1010. [Crossref] [PubMed]
- Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin 2020;70:7-30. [Crossref] [PubMed]
- Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 2021;71:209-49. [Crossref] [PubMed]
- Yoon JH, Goo YJ, Lim CJ, et al. Features of extrahepatic metastasis after radiofrequency ablation for hepatocellular carcinoma. World J Gastroenterol 2020;26:4833-45. [Crossref] [PubMed]
- Becker AK, Tso DK, Harris AC, et al. Extrahepatic metastases of hepatocellular carcinoma: A spectrum of imaging findings. Can Assoc Radiol J 2014;65:60-6. [Crossref] [PubMed]
- Ogawa M, Yamamoto T, Kubo S, et al. Clinicopathologic analysis of risk factors for distant metastasis of hepatocellular carcinoma. Hepatol Res 2004;29:228-34. [Crossref] [PubMed]
- Mu L, Sun L, Pan T, et al. Percutaneous CT-guided radiofrequency ablation for patients with extrahepatic oligometastases of hepatocellular carcinoma: long-term results. Int J Hyperthermia 2018;34:59-67. [Crossref] [PubMed]
- Wan S, Zhao E, Kryczek I, et al. Tumor-associated macrophages produce interleukin 6 and signal via STAT3 to promote expansion of human hepatocellular carcinoma stem cells. Gastroenterology 2014;147:1393-404. [Crossref] [PubMed]
- Jang JH, Kim DH, Lim JM, et al. Breast Cancer Cell-Derived Soluble CD44 Promotes Tumor Progression by Triggering Macrophage IL1β Production. Cancer Res 2020;80:1342-56. [Crossref] [PubMed]
- Fang M, Wu J, Lai X, et al. CD44 and CD44v6 are Correlated with Gastric Cancer Progression and Poor Patient Prognosis: Evidence from 42 Studies. Cell Physiol Biochem 2016;40:567-78. [Crossref] [PubMed]
- Dhar D, Antonucci L, Nakagawa H, et al. Liver Cancer Initiation Requires p53 Inhibition by CD44-Enhanced Growth Factor Signaling. Cancer Cell 2018;33:1061-1077.e6. [Crossref] [PubMed]
- Van Sweringen HL, Sakai N, Tevar AD, et al. CXC chemokine signaling in the liver: impact on repair and regeneration. Hepatology 2011;54:1445-53. [Crossref] [PubMed]
- Yang J, Zhang L, Jiang Z, et al. TCF12 promotes the tumorigenesis and metastasis of hepatocellular carcinoma via upregulation of CXCR4 expression. Theranostics 2019;9:5810-27. [Crossref] [PubMed]
- World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 2013;310:2191-4. [Crossref] [PubMed]
- Sun HC, Zhang W, Qin LX, et al. Positive serum hepatitis B e antigen is associated with higher risk of early recurrence and poorer survival in patients after curative resection of hepatitis B-related hepatocellular carcinoma. J Hepatol 2007;47:684-90. [Crossref] [PubMed]
- Llovet JM, Di Bisceglie AM, Bruix J, et al. Design and endpoints of clinical trials in hepatocellular carcinoma. J Natl Cancer Inst 2008;100:698-711. [Crossref] [PubMed]
- Li H, Li CW, Li X, et al. MET Inhibitors Promote Liver Tumor Evasion of the Immune Response by Stabilizing PDL1. Gastroenterology 2019;156:1849-1861.e13. [Crossref] [PubMed]
- Mima K, Okabe H, Ishimoto T, et al. CD44s regulates the TGF-β-mediated mesenchymal phenotype and is associated with poor prognosis in patients with hepatocellular carcinoma. Cancer Res 2012;72:3414-23. [Crossref] [PubMed]
- Yan J, Zhou B, Guo L, et al. GOLM1 upregulates expression of PD-L1 through EGFR/STAT3 pathway in hepatocellular carcinoma. Am J Cancer Res 2020;10:3705-20. [PubMed]
- Kutner RH, Zhang XY, Reiser J. Production, concentration and titration of pseudotyped HIV-1-based lentiviral vectors. Nat Protoc 2009;4:495-505. [Crossref] [PubMed]
- Stewart SA, Dykxhoorn DM, Palliser D, et al. Lentivirus-delivered stable gene silencing by RNAi in primary cells. RNA 2003;9:493-501. [Crossref] [PubMed]
- Wang J, Tannous BA, Poznansky MC, et al. CXCR4 antagonist AMD3100 (plerixafor): From an impurity to a therapeutic agent. Pharmacol Res 2020;159:105010. [Crossref] [PubMed]
- Yang GH, Fan J, Xu Y, et al. Osteopontin combined with CD44, a novel prognostic biomarker for patients with hepatocellular carcinoma undergoing curative resection. Oncologist 2008;13:1155-65. [Crossref] [PubMed]
- Hirohashi K, Yamamoto T, Uenishi T, et al. CD44 and VEGF expression in extrahepatic metastasis of human hepatocellular carcinoma. Hepatogastroenterology 2004;51:1121-3. [PubMed]
- Lugli A, Iezzi G, Hostettler I, et al. Prognostic impact of the expression of putative cancer stem cell markers CD133, CD166, CD44s, EpCAM, and ALDH1 in colorectal cancer. Br J Cancer 2010;103:382-90. [Crossref] [PubMed]
- Li J, Ren H, Wang J, et al. Extracellular HMGB1 promotes CD44 expression in hepatocellular carcinoma via regulating miR-21. Aging (Albany NY) 2021;13:8380-95. [Crossref] [PubMed]
- Henry JC, Park JK, Jiang J, et al. miR-199a-3p targets CD44 and reduces proliferation of CD44 positive hepatocellular carcinoma cell lines. Biochem Biophys Res Commun 2010;403:120-5. [Crossref] [PubMed]
- Koyama S, Tsuchiya H, Amisaki M, et al. NEAT1 is Required for the Expression of the Liver Cancer Stem Cell Marker CD44. Int J Mol Sci 2020;21:1927. [Crossref] [PubMed]
- Sottnik JL, Vanderlinden L, Joshi M, et al. Androgen Receptor Regulates CD44 Expression in Bladder Cancer. Cancer Res 2021;81:2833-46. [Crossref] [PubMed]
- Ouhtit A, Abd Elmageed ZY, Abdraboh ME, et al. In vivo evidence for the role of CD44s in promoting breast cancer metastasis to the liver. Am J Pathol 2007;171:2033-9. [Crossref] [PubMed]
- Tang Y, Lu Y, Chen Y, et al. Pre-metastatic niche triggers SDF-1/CXCR4 axis and promotes organ colonisation by hepatocellular circulating tumour cells via downregulation of Prrx1. J Exp Clin Cancer Res 2019;38:473. [Crossref] [PubMed]
- Chen G, Chen SM, Wang X, et al. Inhibition of chemokine (CXC motif) ligand 12/chemokine (CXC motif) receptor 4 axis (CXCL12/CXCR4)-mediated cell migration by targeting mammalian target of rapamycin (mTOR) pathway in human gastric carcinoma cells. J Biol Chem 2012;287:12132-41. [Crossref] [PubMed]
- Marotta LL, Almendro V, Marusyk A, et al. The JAK2/STAT3 signaling pathway is required for growth of CD44+CD24− stem cell-like breast cancer cells in human tumors. J Clin Invest 2011;121:2723-35. [Crossref] [PubMed]
- Weng M, Gong W, Ma M, et al. Targeting gallbladder cancer: oncolytic virotherapy with myxoma virus is enhanced by rapamycin in vitro and further improved by hyaluronan in vivo. Mol Cancer 2014;13:82. [Crossref] [PubMed]
- Meran S, Luo DD, Simpson R, et al. Hyaluronan facilitates transforming growth factor-β1-dependent proliferation via CD44 and epidermal growth factor receptor interaction. J Biol Chem 2011;286:17618-30. [Crossref] [PubMed]
- Brown RL, Reinke LM, Damerow MS, et al. CD44 splice isoform switching in human and mouse epithelium is essential for epithelial-mesenchymal transition and breast cancer progression. J Clin Invest 2011;121:1064-74. [Crossref] [PubMed]