Abstract
Proteasome 26S subunit ATPase 2 (PSMC2) plays a pathogenic role in various cancers. However, its function and molecular mechanism in hepatocellular carcinoma (HCC) remain unknown. In this study, tissue microarray (TMA) analysis showed that PSMC2 is highly expressed in HCC tumors and correlates with poor overall and disease-free survival in HCC patients. Multivariate Cox regression analysis revealed that PSMC2 is an independent prognostic factor for HCC patients. Furthermore, our results showed that PSMC2 knockdown inhibited cell proliferation and suppressed tumorigenesis in vivo. Knockdown of PSMC2 increased the expression of p21 and therefore decreased the expression of cyclin D1. Dual-luciferase reporter assays indicated that depletion of PSMC2 significantly enhanced the promoter activity of p21. Importantly, PSMC2 knockdown-induced phenotypes were also rescued by downregulation of P21. Taken together, our data suggest that PSMC2 promotes HCC cell proliferation and cell cycle progression through the p21/cyclin D1 signaling pathway and could be a promising diagnostic and therapeutic target for HCC patients.
Keywords: PSMC2, hepatocellular carcinoma, p21, cell proliferation, carcinogenesis
Introduction
Hepatocellular carcinoma (HCC) is one of most malignant cancers and has a poor prognosis, ranking fifth in terms of global incidence and second in terms of mortality rate among males (1) The majority of HCC cases occurs in patients with advanced fibrosis, mainly due to hepatitis B or C virus (HBV or HCV) infection or alcohol abuse (2) Patients with HCC commonly have a poor prognosis and a high recurrence rate. This is mainly because the majority of HCC patients is diagnosed at advanced stages (3–7). Although risk factors for recurrence, including tumor size, alpha fetoprotein (AFP), tumor differentiation, cirrhosis, surgical margin, serum HBV viral load, and metabolic syndrome, have been proposed to be associated with the prognosis of HCC, their clinical application is limited (7). Recurrence after resection or transplantation is unpredictable. Therefore, the investigation of HCC-related genes and their molecular biological mechanisms has important clinical value in identifying patients with a poor prognosis and exploring effective treatment strategies for HCC.
Proteasome 26S subunit ATPase 2 (PSMC2) is the highest ranked candidate among the Copy-number alterations Yielding Cancer Liabilities Owing to Partial loss (CYCLOPS) genes, which are a special subset of essential genes involved in cancer cell viability (8). The 26S proteasome complex is a well-known polyproteinase consisting of a 20S core particle and a 19S regulatory particle (RP) that can rapidly disrupt key intracellular regulatory proteins (e.g., transcription factors and cell cycle regulators) (9–11). PSMC2, located at 7q22.1-q22.3 in the genome, is a key member of the 19S RP of the 26S proteasome complex (12–14). Of note, PSMC2 has also been identified as a vital factor in tumor development and progression. For instance, it has been reported that PSMC2 is implicated in the progression of ovarian cancer (8), pancreatic cancer (15), colorectal cancer (16), and osteosarcoma (16–18). However, research on PSMC2 is limited to functional experiments, and no studies have investigated the underlying mechanisms of the function of PSMC2 in cancer. Therefore, in this study, we described the important role of PSMC2 in the progression of HCC, which has never been reported.
In the current study, we investigated the expression of PSMC2 in a tissue microarray (TMA) and explored its potential role and molecular mechanism in regulating HCC malignant features. Our research showed that PSMC2 was markedly upregulated in patient HCC tissues compared with adjacent non-cancerous tissues, and its upregulation was positively correlated with worse survival outcomes in HCC patients. In addition, in vivo and in vitro experiments showed that PSMC2 promotes HCC cell cycle progression through the p21/cyclin D1 signaling pathway.
Materials and Methods
Patient Specimens and Construction of Tissue Microarrays
TMA consists of 220 HCC samples and corresponding adjacent non-cancerous tissues, collected by the Hepatobiliary Center of the First Affiliated Hospital of Nanjing Medical University (Nanjing, Jiangsu Province, China). All patients underwent radical surgery at Nanjing Medical University from January 2009 to December 2010. Patients' clinical data were obtained from the hospital's medical records, including sex, age, tumor size, preoperative AFP, tumor-node-metastasis (TNM) stage, date of surgery, place of birth, and marriage. The patient studies were conducted in accordance with the Declaration of Helsinki. The use of these specimens and data for research purposes was approved by the ethics committee of the hospital, and informed consent was obtained from all patients.
Of the 220 HCC patients who were retrospectively analyzed, 149 were males and 71 were females with an average age of 54.8 years (24–79 years). A complete postoperative follow-up record was obtained for each patient. Survival time was calculated from the date of surgery to the date of death or last follow-up. In addition, the date of death was obtained from postoperative follow-up records and verified by the local civil affairs department.
Overall survival (OS) refers to the time from the start of surgery to the death of the patient or the time of last follow-up. Disease-free survival (DFS) refers to the occurrence of recurrent tumors, death, or last follow-up from the time of surgery. Our last follow-up was October 2018.
Immunohistochemistry (IHC)
IHC was implemented following a standard streptavidin-peroxidase method as previously reported (19). Anti-PSMC2 (1:1,000 dilution; HPA019238, Sigma, USA) was used for IHC according to the avidin-biotin complex method. After microwave antigen retrieval, tissues were incubated with primary antibody at 4°C overnight. Following incubation with secondary antibody, the sections were developed in a diaminobenzidine solution under a microscope and counterstained with hematoxylin. Negative control slides were included in all assays.
Cell Lines and Cell Culture
The MHCC97-L (established at the Liver Cancer Institute, Zhongshan Hospital, Fudan University) (20) and SMMC-7721 cell lines (purchased from the Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Science, Shanghai, China) were used in this study. They were cultured in DMEM supplemented with 10% fetal bovine serum, 100 U/ml of penicillin, and 100 μg/ml of streptomycin and cultured in a 37°C humidified incubator with 5% CO2.
Small Interfering RNA (siRNA) and Transient Transfections
SiRNA specific for PSMC2 (siPSMC2) and non-specific control (siCtrl) were purchased from GenePharma (Shanghai, China) and transfected with siLentFect Lipid Reagent (Bio-Rad Laboratories, Inc.) in accordance with the manufacturer's protocol. The cells were grown to 30–40% confluency. Six hours after transfection, the medium containing transfection reagents was replaced with fresh medium. The siRNA sequences were described as follows (8):
SiPSMC2#1 sense: 5′-GCUGUAAAUAAGGUCAUUAUU;
SiPSMC2#2 sense: 5′-GCCAGGUGUACAAAGAUAAUU;
SiPSMC2#3sense: 5′-GGACCCACAUAUUUAAGAUUU;
Sip21 sense: 5′-CCUCUGCAUUAGAAUUAUTT;
SiCtrl sense: 5′-GGCUACGUCCAGGAGCGCA.
Stable Cell Line Establishment
A PSMC2 knockdown lentivirus was purchased from Shanghai GeneChem Company. The shRNA target sequences were described as follows: sh PSMC2 sense: CAGGGAGATTGGATAGAAA; shCtrl sense: TTCTCCGAACGTGTCACGT. MHCC97-L cells were infected with lentivirus for 48 h and then selected with 2 ng/ml of puromycin for 2 weeks.
Western Blot Analysis
Western blot analysis was conducted in accordance with a previous study (21). The specific primary antibodies against PSMC2 (HPA019238) were purchased from Sigma. Antibodies against GAPDH (60004-1-Ig) and p21 (10355-1-AP) were purchased from Proteintech. Antibodies against cyclin D1 (#2978), cleaved PARP (#5625), cleaved caspase 3 (#9661P), cleaved caspase 7 (#9491P), and BCL-XL (#2764) were obtained from Cell Signaling Technology.
RNA Extraction and Quantitative Real-Time PCR (qRT-PCR)
Total RNA was extracted from SMMC-7721 and MHCC97-L cells using TRIzol reagent (Invitrogen, California, USA). cDNA was generated using HiScript Q RT SuperMix for qPCR (+gDNA wiper) (Vazyme Biotech, Nanjing, China). Real-time PCR was conducted on a LightCycler® 480 using SYBR Green Real-Time PCR Master Mix (Vazyme Biotech, Nanjing, China). All primers used in this study are listed as follows:
PSMC2: 5′-CAGAGGCTGGTATGTTTG-3′ (forward) and 5′-CCTTCAGGGTTCAGTTGT-3′ (reverse);
p21: 5′-TTTCTCTCGGCTCCCCATGT-3′ (forward) and 5′-GCTGTATATTCAGCATTGTGGG-3′ (reverse);
GAPDH: 5′-TGACTTCAACAGCGACACCCA-3′ (forward) and 5′-CACCCTGTTGCTGTAGCCAAA-3′ (reverse).
Cell Proliferation Assay
Cell Counting Kit-8 (CCK-8) assays were conducted in accordance with the manufacturer's protocol to determine the regulation of cell proliferation by PSMC2. SMMC-7721 and MHCC97-L cells were transiently transfected with siRNAs targeting PSMC2 (siPSMC2#1, siPSMC2#2) or control siRNA (siCtrl). Two days after transfection, ~5 × 103 cells were seeded in each well of 96-well plates, and CCK-8 solution was added 1, 2, 3, and 4 days after. Cells were incubated at 37°C for 2 h after 10 μl of CCK-8 solution was added. The absorbance at 450 nm was measured.
Celigo Imaging Cytometer (Nexcelom Bioscience, Lawrence, MA) was used to count the number of surviving cells. Seventy-two hours after infection, the cells were collected and seeded into 96-well plates at a density of 1,000 cells per well. Cell growth curves and fluorescent photomicrographs were taken by measuring cells with green fluorescence with a cytometer in the following 5 days.
For colony formation assay, 800 MHCC97-L cells were seeded in a six well-plate for 14 days, washed twice with PBS, fixed with 4% paraformaldehyde for 30 min, and stained with Giemsa for 20 min. The number of colonies was counted visually.
Apoptosis
The cells were collected after transfection with siRNA for 48 h. Then, they were washed twice with PBS and resuspended in binding buffer. Apoptosis assay was conducted using the Annexin V-FITC/PI apoptosis detection kit (Nanjing KeyGen Biotech, Inc.) in accordance with the manufacturer's protocol. Sequentially, the cells were stained with Annexin V-FITC and PI at room temperature for 15 min and then analyzed by flow cytometry (BD, FACSCanto™ II).
Cell Cycle Analysis
Forty-eight hours after transfection, the cells were starved for 24 h to synchronize the cells and induced to re-enter the cell cycle by incubating in a medium containing 10% fetal bovine serum for 6 h. The cells were then collected, washed twice with PBS, and fixed overnight in pre-cooled 70% ethanol at 4°C. On the next day, the cells were washed twice with PBS and incubated with RNase A in a 37°C water bath for 30 min. Then, PI was added to the cells at 4°C for 30 min in the dark. Finally, all samples were analyzed by flow cytometry (BD, FACSCanto™ II).
Bioinformatic Analysis
To determine the correlation of PSMC2 mRNA expression with p21 target genes, we analyzed the datasets from published studies. Data were deposited at the Gene Expression Omnibus (GEO, GSE36376) database (22). GSE36376 contains data for 240 HCC tissues and 193 adjacent non-cancerous tissues. The average of the probes for the analyzed genes was used in all analyses.
Dual-Luciferase Reporter Assays
SiPSMC2, siCtrl, p21 promoter plasmid, and renilla luciferase (Rluc) plasmid were transfected into MHCC97-L cells by using the siLentFect Lipid Reagent (Bio-Rad Laboratories, Inc.) and Lipofectamine 2,000 transfection reagent (Life Technologies, Shanghai, China). At 48 h post-transfection, the cells were lysed and analyzed for firefly luciferase and Rluc activity using the Dual-Luciferase Reporter Assay System (Promega). Rluc activity was used for normalization. The plasmid of p21-luc (−2,400/+11) was a gift from Dr. Baiqu Huang (The Institute of Genetics and Cytology, Northeast Normal University).
Experimental Animal Model and Subject Details
Male BALB/c nude mice (6–8 weeks old) were purchased from Nanjing Gempharmatech Technology Co., Ltd. (Nanjing, China). All animal experiments were approved by the animal care and use committee. The tumor volume was calculated using the formula V = a × (b × b)/2, where a is the largest and b is the smallest diameter. Twenty-five days later, the mice were killed, and the tumors were weighted and processed to detect the expression of PSMC2, p21, and Ki67 by IHC analysis.
Statistical Analysis
All statistical analyses were performed using GraphPad Prism 7 (Chicago, CA) and SPSS 25 statistical software package (SPSS Inc., Chicago, IL). The paired Wilcoxon test was used to assess the significance of PSMC2 staining in HCC tissues and corresponding adjacent non-cancerous tissues. OS and DFS were calculated by the Kaplan-Meier method and analyzed by the log-rank test. The χ2 test was performed to evaluate the relationship between PSMC2 expression and clinicopathological parameters. Univariate and multivariate analyses were based on the Cox proportional hazards regression model. The unpaired t-test was used to determine the statistical significance of differences between groups. “*” indicates a P < 0.05, which was considered statistically significant.
Results
PSMC2 Is Upregulated in HCC Tissues and Is an Independent Prognostic Factor for HCC
To investigate the role of PSMC2 in the development of HCC, we applied IHC to evaluate endogenous PSMC2 expression in the TMAs (containing 220 HCC samples and corresponding adjacent non-cancerous tissues). PSMC2 was located in the nucleus and cytoplasm (Figure 1A). A paired Wilcoxon test of paired tumor tissue and adjacent non-cancerous tissue from 220 cases revealed that PSMC2 protein expression was dramatically upregulated in cancerous tissue compared with adjacent non-cancerous tissue (P < 0.001, Figure 1B). Next, we analyzed the correlations between PSMC2 expression and characteristics of HCC and found that high PSMC2 protein expression was significantly correlated with tumor diameter (P = 0.002) and sex (P < 0.013, Table 1). In particular, we used Kaplan-Meier survival analysis and the log-rank test to examine whether PSMC2 expression was correlated with overall survival (OS) and disease-free survival (DFS) for HCC patients (Figure 1C). The results revealed that high PSMC2 levels were correlated with poor OS (P = 0.004) and DFS (P = 0.035).
Table 1.
Variables | PSMC2 staining | |||||||
---|---|---|---|---|---|---|---|---|
Low (%) | High (%) | Total | P* | |||||
Age | ||||||||
≤55 | 87 (78.3) | 24 (21.6) | 111 | 0.309 | ||||
>55 | 79 (72.4) | 30 (27.5) | 109 | |||||
Sex | ||||||||
Male | 105 (70.5) | 44 (29.5) | 149 | 0.013 | ||||
Female | 61 (85.9) | 10 (14.1) | 71 | |||||
Preoperative AFP (ng/mL) | ||||||||
≤20 | 60 (72.3) | 23 (27.7) | 83 | 0.333 | ||||
>20 | 90 (78.3) | 25 (21.7) | 115 | |||||
ALT(U/L) | ||||||||
≤40 | 92 (75.5) | 30 (24.5) | 122 | 0.983 | ||||
>40 | 67 (75.3) | 22 (24.7) | 89 | |||||
Liver cirrhosis | ||||||||
Yes | 111 (73.0) | 41 (27.0) | 152 | 0.211 | ||||
No | 55 (80.8) | 13 (19.2) | 68 | |||||
Tumor size (cm) | ||||||||
≤5 | 112 (82.4) | 24 (17.6) | 136 | 0.002 | ||||
>5 | 54 (64.3) | 30 (35.7) | 84 | |||||
Tumor number | ||||||||
Single | 146 (75.2) | 48 (24.8) | 194 | 0.978 | ||||
Multiple | 18 (75.0) | 6 (25.0) | 24 | |||||
TNM | ||||||||
I | 52 (74.2) | 18 (25.8) | 70 | 0.781 | ||||
II/III | 111 (76.1) | 35 (23.9) | 146 | |||||
Differentiation | ||||||||
I/II | 98 (78.4) | 27 (21.6) | 125 | 0.388 | ||||
III/IV | 63 (73.3) | 23 (26.7) | 86 | |||||
Tumor recurrence | ||||||||
Yes | 92 (74.8) | 31 (25.2) | 123 | 0.428 | ||||
No | 59 (79.8) | 15 (20.2) | 74 |
P values are from χ2 test. The bold values are considered as statistically significant.
Some cases were not available for the information.
Finally, to further examine whether PSMC2 expression was an independent prognostic factor for HCC, we used univariate and multivariate Cox regression models to confirm the prognostic value of PSMC2 expression in HCC. Univariate Cox regression analysis suggested that PSMC2 expression, tumor size, and tumor-node-metastasis (TNM) stage were significant prognostic factors for HCC patients' OS and DFS (Table 2). In the multivariate Cox regression model, our data further confirmed that PSMC2 expression remained an independent significant prognostic biomarker for OS (P = 0.011, hazard ratio (HR) = 1.687, 95% confidence interval (CI) = 1.130-2.521) and DFS (P = 0.034, HR = 1.541, 95% CI = 1.033–2.299) for HCC patients after adjusting for age, sex, tumor size, tumor differentiation, TNM stage, and liver cirrhosis (Table 3). Collectively, our results confirmed that PSMC2 expression may serve as a potential independent prognostic factor for OS and DFS in HCC patients.
Table 2.
Variables | Overall survival | Disease-free survival | ||||
---|---|---|---|---|---|---|
Hazard ratio | 95% CI† | P* | Hazard ratio | 95% CI† | P* | |
PSMC2 | ||||||
Low | 1.000 | 1.000 | ||||
High | 1.717 | 1.181–2.499 | 0.005 | 1.490 | 1.025–2.167 | 0.037 |
Age | ||||||
≤55 years | 1.000 | 1.000 | ||||
>55 years | 1.075 | 0.760–1.521 | 0.682 | 0.942 | 0.666–1.332 | 0.733 |
Sex | ||||||
Male | 1.000 | 1.000 | ||||
Female | 1.350 | 0.921–1.979 | 0.124 | 1.281 | 0.874–1.878 | 0.205 |
Tumor size | ||||||
≤5 cm | 1.000 | 1.000 | ||||
>5 cm | 1.803 | 1.273–2.552 | 0.001 | 1.648 | 1.164–2.333 | 0.005 |
Liver cirrhosis | ||||||
Yes | 1.000 | 1.000 | ||||
No | 1.307 | 0.907–1.883 | 0.151 | 1.221 | 0.838–1.759 | 0.283 |
Differentiation | ||||||
I/II | 1.000 | 1.000 | ||||
III/IV | 0.862 | 0.599–1.240 | 0.424 | 0.895 | 0.622–1.288 | 0.550 |
TNM | ||||||
I | 1.000 | 1.000 | ||||
II/III | 1.501 | 1.015–2.218 | 0.042 | 1.527 | 1.033–2.256 | 0.034 |
CI, confidence interval. The bold values are considered as statistically significant.
Some cases were not available for the information.
Table 3.
Variables | Overall survival | Disease-free survival | ||||
---|---|---|---|---|---|---|
Hazard ratio | 95% CI† | P | Hazard ratio | 95% CI† | P | |
PSMC2 | 1.687 | 1.130–2.521 | 0.011 | 1.541 | 1.033–2.299 | 0.034 |
Age | 1.036 | 0.717–1.497 | 0.850 | 0.927 | 0.644–1.336 | 0.686 |
Sex | 1.176 | 0.791–1.749 | 0.422 | 1.168 | 0.785–1.740 | 0.444 |
Tumor size | 1.524 | 1.039–2.234 | 0.031 | 1.405 | 0.963–2.050 | 0.078 |
Differentiation | 0.863 | 0.597–1.247 | 0.433 | 0.874 | 0.605–1.262 | 0.472 |
TNM | 1.421 | 0.940–2.146 | 0.095 | 1.492 | 0.989–2.251 | 0.057 |
Liver cirrhosis | 0.864 | 0.581–1.285 | 0.470 | 0.888 | 0.599–1.315 | 0.552 |
Coding of variables: PSMC2 was coded as 0 (low), and 1 (high). Age was coded as 0 (≤55 years), and 1 (>55years). Sex was coded as 0 (male), and 1 (female). Tumor size was coded as 0 (≤5 cm), and 1 (>5 cm). Tumor differentiation was coded as 0 (I and II), and 1 (III and IV). TNM was coded as 0 (I), and 1 (II and III). Liver cirrhosis was coded as 0 (NO), and 1 (YES). CI, confidence interval. The bold values are considered as statistically significant. Some cases were not available for the information.
Downregulation of PSMC2 Inhibits the Proliferation of HCC Cells
Given that the TMA analysis showed that PSMC2 expression was associated with HCC progression, we further assessed the biological functions and molecular mechanisms of PSMC2 in HCC progression. SMMC-7721 and MHCC97-L cells were transiently transfected with siRNAs targeting PSMC2 (siPSMC2#1, siPSMC2#2, siPSMC2#3) or control siRNA (siCtrl). Then, Western blot analysis and qRT-PCR analysis were performed to determine the expression of PSMC2 in SMMC-7721 and MHCC97-L cells (Figures 2A,B). The results revealed that PSMC2 expression was significantly reduced in cells transfected with PSMC2 siRNA compared with those transfected with the control siRNA. We selected siPSMC2#1 and siPSMC2#2 for subsequent research. We also generated MHCC97-L-shCtrl and MHCC97-L-shPSMC2 cells (Figure 2C). Because the expression of PSMC2 was associated with tumor size, we assessed whether PSMC2 affected the apoptosis and proliferation of HCC cells.
With the Cell Counting Kit-8 (CCK-8) cell proliferation assay, we found that cell proliferation was decreased in cell lines transfected with PSMC2 siRNAs compared with those transfected with the control siRNA (Figure 3A). However, the CCK-8 cell proliferation assay results were influenced by the number of cells and the induction of apoptosis, reflecting the limited value of proliferation as a metric. Thus, PSMC2 knockdown MHCC97-L cells were subjected to Celigo cell counting and colony formation assays. The growth curve, quantified, and generated with a Nexcelom Celigo Image Cytometer, showed that the growth rate was significantly decreased following shRNA-mediated knockdown of PSMC2 in MHCC97-L cells (Figure 3B). In addition, colony formation assays showed that PSMC2 expression was positively correlated with cell growth (Figure 3C). In conclusion, these results indicate that PSMC2 is essential for the proliferation of HCC cells.
Downregulation of PSMC2 Promotes Apoptosis of HCC Cells
Cell apoptosis also has a significant effect on cell proliferation, so we next examined the effect of PSMC2 on apoptosis using flow cytometry analysis. Morphological changes in SMMC-7721 and MHCC97-L cells were assessed by Annexin V-FITC/PI double-staining assays. We observed that PSMC2 knockdown increased the apoptosis rate compared with that in the corresponding control group (Figures 4A,B). In addition, Western blot analysis showed that PSMC2 knockdown dramatically increased the expression of apoptotic factors, including cleaved-PARP, cleaved caspase 3, and cleaved caspase 7, and decreased the expression of BCL-XL (Figure 4C).
Downregulation of PSMC2 Inhibits the G1/S Phase Transition of the Cell Cycle
To explore the possible mechanism by which PSMC2 knockdown inhibits HCC cell proliferation, we performed cell cycle analysis to examine whether PSMC2 knockdown induced the inhibition of HCC cell proliferation due to arrest at a certain stage. We synchronized cells for 24 h by serum starvation and collected cells 6 h after serum addition. Flow cytometry analysis showed that PSMC2 downregulation significantly increased the proportion of cells in the G0/G1 phase and decreased the proportion of cells in the S phase (Figures 5A,B). Therefore, PSMC2 downregulation appears to inhibit the G1/S transition of the cell cycle.
Thus, Western blot analysis was performed to assess the protein expression of key regulatory factors associated with the G1 phase. Consistent with our flow cytometry data, the results showed that PSMC2 downregulation caused the accumulation of p21 and markedly decreased the expression of cyclin D1 (Figure 5C). Cyclin D1 is a protein required for progression through the G1 phase of the cell cycle (23). These results demonstrate that PSMC2 facilitates cell proliferation via the induction of the G1/S phase transition.
PSMC2 Regulates the Expression of p21 at the Transcription Level in HCC
P21 plays an important role in cell growth and the cell cycle (24). Considering the previous results, we assessed whether PSMC2 regulates the expression of p21 at the transcriptional level. We performed bioinformatics analysis of publicly available datasets from the Gene Expression Omnibus (GEO) database (specifically, the GSE36376 dataset, which contains data for 240 HCC samples and 193 adjacent non-cancerous tissues). Notably, PSMC2 mRNA expression was upregulated in cancerous tissue compared with adjacent non-cancerous tissue (P < 0.001, Student's t-test). In contrast, p21 was downregulated in cancerous tissue (P < 0.001, Figure 6A). Moreover, the analysis showed that the expression of PSMC2 was negatively correlated with that of p21 in 240 HCC samples (r = −0.14, P < 0.05, Spearman correlation; Figure 6B). On the other hand, qRT-PCR showed that the downregulation of PSMC2 increased the mRNA expression of p21 (Figure 6C). According to the current results, we speculate that PSMC2 affects the activity of the p21 promoter. Thus, we used the p21-luc (−2,400/+11) plasmid for dual-luciferase reporter assays. The dual-luciferase reporter assay revealed significant luciferase activity in siPSMC2-transfected cells vs. the control cells (Figure 6D). These results showed that the downregulation of PSMC2 increased the activity of the p21 promoter, which is consistent with our prediction that PSMC2 regulates the expression of p21 at the transcriptional level in HCC.
Downregulation of p21 Reverses the Inhibition of Proliferation and the Cell Cycle Induced by PSMC2 Knockdown
To assess the requirement for p21 in the inhibition of proliferation and the cell cycle induced by PSMC2 silencing, we silenced p21 in PSMC2-depleted MHCC97-L cells (Figure 7A). The results showed that the inhibition of proliferation and the cell cycle caused by PSMC2 knockdown was attenuated by transient transfection of p21 siRNA in MHCC97-L cells (Figures 7B–D). These results demonstrate that p21 plays a crucial role in PSMC2-regulated HCC cell proliferation and cell cycle progression.
PSMC2 Promotes Tumor HCC Growth in vivo
To confirm the effects of PSMC2 on tumor growth in vivo, we generated a xenograft model by injecting nude mice with the same number of shPSMC2 or shCtrl MHCC97-L cells to assess the effects of PSMC2 on HCC cell growth (Figure 8A). Consistent with the in vitro assays, mice xenografted with shPSMC2 cells formed smaller tumors (in terms of size and weight) in vivo than the control mice (Figures 8B,C). Furthermore, IHC staining of tissue sections from tumors derived from shPSMC2 and shCtrl-transfected cells was performed to evaluate the expression of PSMC2, p21, and the nuclear cell proliferation marker Ki-67. The representative images showed that compared with the control conditions, the downregulation of PSMC2 resulted in weaker PSMC2 and Ki-67 staining intensities in the excised tumors but a stronger p21 staining intensity (Figure 8D).
In conclusion, these results clearly demonstrate that high PSMC2 expression enhances tumor growth in vitro and in vivo.
Discussion
PSMC2, a key member of the 19S RP, a component of the 26S proteasome complex, has been studied in various cancers. The 26S proteasome complex regulates a multitude of cellular processes, such as cell cycle progression, apoptosis, signal transduction, DNA repair and gene transcription, which are linked to the progression of cancer (25). As these cellular proteins can have direct or indirect regulatory impacts on cancer development, the proteasome has become a potential target for the treatment of multiple cancers. Currently, an increasing number of proteasome inhibitors are being selected to treat malignant diseases in clinical trials (26, 27). Based on the intimate relationship between PSMC2 and the 26S proteasome complex, we conducted elaborate research to explore the correlation of PSMC2 with HCC. First, we observed that PSMC2 is usually highly expressed in HCC tissues compared with paired adjacent non-cancerous tissues. Furthermore, our data indicated that elevated expression of PSMC2 is significantly associated with a larger tumor size and with poor OS and DFS. In addition, univariate and multivariate Cox regression analyses showed that PSMC2 is an independent prognostic biomarker for HCC. These findings suggest that PSMC2 plays a crucial role in HCC progression and could also be a potential therapeutic target.
To further understand the biological function of PSMC2 in HCC aggressiveness, we investigated the malignant features of PSMC2 in HCC cell lines. The TMA analysis showed that PSMC2 is closely related to tumor size, and this effect may be due to the influence of PSMC2 on cell proliferation, apoptosis, and necrosis. Decreased apoptosis and increased cell proliferation are hallmarks of cancer that have been observed over the last decades. Therefore, we carried out related cytology experiments. Our current study showed that the downregulation of PSMC2 in HCC cells can promote apoptosis and inhibit proliferation. Cell cycle dysregulation may lead to enhanced cell proliferation (28). Subsequently, we found that the downregulation of PSMC2 in HCC cells led to cell cycle arrest at the G0/G1 phase. To our knowledge, the cyclin-dependent kinase inhibitor p21 is a cell cycle inhibitor regulated in P53-dependent or P53-independent ways (29–31). Previous studies have shown that under various stress stimuli, p21 mainly functions by blocking G1 or G2 progression and therefore is a crucial regulator of cancer cell growth inhibition (24, 32). Cyclin D1, a key regulator in the G1-to-S-phase transition, is overexpressed in a large fraction of human cancers (33, 34). Previous studies have demonstrated that cyclin D1 binds and sequesters p21, thereby allowing the progression from G1 to S phase (35, 36). Therefore, consistent with our expectation, Western blotting showed that downregulation of PSMC2 dramatically caused the accumulation of p21 and the depletion of cyclin D1 at the protein level.
Following the above studies, we determined whether PSMC2 regulates the expression of p21 at the transcriptional level. qRT-PCR showed that the downregulation of PSMC2 increased the mRNA expression of p21. On the other hand, the GEO database (GSE36376) showed a significant negative correlation between PSMC2 and p21 mRNA expression. Moreover, our dual-luciferase reporter assay revealed that downregulation of PSMC2 increased the activity of the p21 promoter, suggesting that the pivotal role of PSMC2 in regulating the expression of p21 was exerted at the transcription level in HCC. The p53/p21 complex is a functional unit that acts on multiple cell components, leading to cell cycle arrest (37–39). P53 is a tumor suppressor gene that functionally acts as the primary “guardian of the genome.” It has multiple functions, including cell cycle control, apoptosis and maintenance of genomic stability (40, 41). The ubiquitin proteasome pathway is critical in restraining the activities of the p53 tumor suppressor (42). Thus, we had previously explored whether PSMC2 mediated the ubiquitination of P53 to affect the downstream key gene p21. However, Western blotting analysis showed that PSMC2 did not enhance the ubiquitination and stability of P53 (data not shown). There are several scenarios in which the p21 expression pattern is independent of p53; some factors involved in these scenarios include Sp1/Sp3, Smads, Ap2, signal transducers and activators of transcription (STATs), BRCA1, E2F-1/E2F-3, and CAAT/enhancer binding protein α and β (43–46). Consequently, PSMC2 may inhibit the expression of P21 via a pathway that does not rely on P53-mediated regulation. We will conduct further research to obtain more direct evidence.
In conclusion, our data suggest that PSMC2 promotes HCC cell proliferation and cycle progression through the p21/cyclin D1 signaling pathway and provide novel evidence supporting the clinical and biological significance of PSMC2 in HCC. Therefore, PSMC2 could be a potential diagnostic and therapeutic target in HCC.
Data Availability Statement
Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE36376.
Ethics Statement
The studies involving human participants were reviewed and approved by The ethics committee of Nanjing Medical University. The patients/participants provided their written informed consent to participate in this study. The animal study was reviewed and approved by the Institutional Committee on Animal Care of Nanjing Medical University.
Author Contributions
YL and XWu: study concept and design. YL and HC: drafting of the manuscript and statistical analysis. JB and XWu: critical revision of the manuscript for important intellectual content. XWu: obtained funding. XL, FZ, and LK: administrative, technical, or material support. XWa: study supervision. All authors have read and approved the final version of the manuscript.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
We acknowledged following grants that supported this work: National Natural Science Foundation of China (81472306); National Science and Technology Major Project (2017ZX10203207-004-004).
Glossary
Abbreviations
- PSMC2
proteasome 26S subunit ATPase 2
- HCC
hepatocellular carcinoma
- TMA
tissue microarray
- CCK-8
cell counting kit-8
- AFP
alpha fetoprotein
- IHC
Immunohistochemistry
- SiRNA
Small interfering RNA
- QRT-PCR
quantitative real-time PCR
- GEO
Gene Expression Omnibus.
References
- 1.Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA. (2018) 68:394–424. 10.3322/caac.21492 [DOI] [PubMed] [Google Scholar]
- 2.Perz JF, Armstrong GL, Farrington LA, Hutin YJ, Bell BP. The contributions of hepatitis B virus and hepatitis C virus infections to cirrhosis and primary liver cancer worldwide. J Hepatol. (2006) 45:529–38. 10.1016/j.jhep.2006.05.013 [DOI] [PubMed] [Google Scholar]
- 3.Forner A, Reig M, Bruix J. Hepatocellular carcinoma. Lancet. (2018) 391:1301–14. 10.1016/S0140-6736(18)30010-2 [DOI] [PubMed] [Google Scholar]
- 4.Llovet JM, Montal R, Sia D, Finn RS. Molecular therapies and precision medicine for hepatocellular carcinoma. Nat Rev Clin Oncol. (2018) 15:599–616. 10.1038/s41571-018-0073-4 [DOI] [PubMed] [Google Scholar]
- 5.Pascual S, Herrera I, Irurzun J. New advances in hepatocellular carcinoma. World J Hepatol. (2016) 8:421–38. 10.4254/wjh.v8.i9.421 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Stotz M, Gerger A, Haybaeck J, Kiesslich T, Bullock MD, Pichler M. Molecular targeted therapies in hepatocellular carcinoma: past, present and future. Anticancer Res. (2015) 35:5737–44. PubMed PMID: 26503994. [PubMed] [Google Scholar]
- 7.Jindal A, Thadi A, Shailubhai K. Hepatocellular carcinoma: etiology and current and future drugs. J Clin Exp Hepatol. (2019) 9:221–32. 10.1016/j.jceh.2019.01.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Nijhawan D, Zack TI, Ren Y, Strickland MR, Lamothe R, Schumacher SE, et al. Cancer vulnerabilities unveiled by genomic loss. Cell. (2012) 150:842–54. 10.1016/j.cell.2012.07.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.da Fonseca PC, He J, Morris EP. Molecular model of the human 26S proteasome. Mol Cell. (2012) 46:54–66. 10.1016/j.molcel.2012.03.026 [DOI] [PubMed] [Google Scholar]
- 10.Livneh I, Cohen-Kaplan V, Cohen-Rosenzweig C, Avni N, Ciechanover A. The life cycle of the 26S proteasome: from birth, through regulation and function, and onto its death. Cell Res. (2016) 26:869–85. 10.1038/cr.2016.86 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Navon A, Ciechanover A. The 26 S proteasome: from basic mechanisms to drug targeting. J Biol Chem. (2009) 284:33713–8. 10.1074/jbc.R109.018481 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Smith DM, Fraga H, Reis C, Kafri G, Goldberg AL. ATP binds to proteasomal ATPases in pairs with distinct functional effects, implying an ordered reaction cycle. Cell. (2011) 144:526–38. 10.1016/j.cell.2011.02.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Tanahashi N, Suzuki M, Fujiwara T, Takahashi E, Shimbara N, Chung CH, et al. Chromosomal localization and immunological analysis of a family of human 26S proteasomal ATPases. Biochem Biophys Res Commun. (1998) 243:229–32. 10.1006/bbrc.1997.7892 [DOI] [PubMed] [Google Scholar]
- 14.Yanagi S, Shimbara N, Tamura T. Tissue and cell distribution of a mammalian proteasomal ATPase, MSS1, and its complex formation with the basal transcription factors. Biochem Biophys Res Commun. (2000) 279:568–73. 10.1006/bbrc.2000.3969 [DOI] [PubMed] [Google Scholar]
- 15.Qin J, Wang W, An F, Huang W, Ding J. PSMC2 is Up-regulated in pancreatic cancer and promotes cancer cell proliferation and inhibits apoptosis. J Cancer. (2019) 10:4939–46. 10.7150/jca.27616 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.He J, Xing J, Yang X, Zhang C, Zhang Y, Wang H, et al. Silencing of proteasome 26S subunit ATPase 2 regulates colorectal cancer cell proliferation, apoptosis, and migration. Chemotherapy. (2019) 64:146–54. 10.1159/000502224 [DOI] [PubMed] [Google Scholar]
- 17.Song M, Wang Y, Zhang Z, Wang S. PSMC2 is up-regulated in osteosarcoma and regulates osteosarcoma cell proliferation, apoptosis and migration. Oncotarget. (2017) 8:933–53. 10.18632/oncotarget.13511 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Li GW, Yan X. Lower miR-630 expression predicts poor prognosis of osteosarcoma and promotes cell proliferation, migration and invasion by targeting PSMC2. Eur Rev Med Pharmacol Sci. (2019) 23:1915–25. 10.26355/eurrev_201903_17229 [DOI] [PubMed] [Google Scholar]
- 19.Hu S, Wu X, Zhou B, Xu Z, Qin J, Lu H, et al. IMP3 combined with CD44s, a novel predictor for prognosis of patients with hepatocellular carcinoma. J Cancer Res Clin Oncol. (2014) 140:883–93. 10.1007/s00432-014-1639-x [DOI] [PubMed] [Google Scholar]
- 20.Li Y, Tang Y, Ye L, Liu B, Liu K, Chen J, et al. Establishment of a hepatocellular carcinoma cell line with unique metastatic characteristics through in vivo selection and screening for metastasis-related genes through cDNA microarray. J Cancer Res Clin Oncol. (2003) 129:43–51. 10.1007/s00432-002-0396-4 [DOI] [PubMed] [Google Scholar]
- 21.Wu X, Chen H, Gao Q, Bai J, Wang X, Zhou J, et al. Downregulation of JWA promotes tumor invasion and predicts poor prognosis in human hepatocellular carcinoma. Mol Carcinogenesis. (2014) 53:325–36. 10.1002/mc.21981 [DOI] [PubMed] [Google Scholar]
- 22.Lim HY, Sohn I, Deng S, Lee J, Jung SH, Mao M, et al. Prediction of disease-free survival in hepatocellular carcinoma by gene expression profiling. Annals Surg Oncol. (2013) 20:3747–53. 10.1245/s10434-013-3070-y [DOI] [PubMed] [Google Scholar]
- 23.Coqueret O. Linking cyclins to transcriptional control. Gene. (2002) 299:35–55. 10.1016/S0378-1119(02)01055-7 [DOI] [PubMed] [Google Scholar]
- 24.Abbas T, Dutta A. p21 in cancer: intricate networks and multiple activities. Nat Rev Cancer. (2009) 9:400–14. 10.1038/nrc2657 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Frankland-Searby S, Bhaumik SR. The 26S proteasome complex: an attractive target for cancer therapy. Biochim Biophys Acta. (2012) 1825:64–76. 10.1016/j.bbcan.2011.10.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Lenz HJ. Clinical update: proteasome inhibitors in solid tumors. Cancer Treat Rev. (2003) 29(Suppl 1):41–8. 10.1016/S0305-7372(03)00082-3 [DOI] [PubMed] [Google Scholar]
- 27.Crawford LJ, Walker B, Irvine AE. Proteasome inhibitors in cancer therapy. J Cell Commun Signal. (2011) 5:101–10. 10.1007/s12079-011-0121-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hou PF, Jiang T, Chen F, Shi PC, Li HQ, Bai J, et al. KIF4A facilitates cell proliferation via induction of p21-mediated cell cycle progression and promotes metastasis in colorectal cancer. Cell Death Dis. (2018) 9:477. 10.1038/s41419-018-0550-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Eckner R. p53-dependent growth arrest and induction of p21: a critical role for PCAF-mediated histone acetylation. Cell Cycle. (2012) 11:2591–2. 10.4161/cc.21235 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.El-Deiry WS. p21(WAF1) Mediates cell-cycle inhibition, relevant to cancer suppression and therapy. Cancer Res. (2016) 76:5189–91. 10.1158/0008-5472.CAN-16-2055 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Karimian A, Ahmadi Y, Yousefi B. Multiple functions of p21 in cell cycle, apoptosis and transcriptional regulation after DNA damage. DNA Repair. (2016) 42:63–71. 10.1016/j.dnarep.2016.04.008 [DOI] [PubMed] [Google Scholar]
- 32.Lodygin D, Menssen A, Hermeking H. Induction of the Cdk inhibitor p21 by LY83583 inhibits tumor cell proliferation in a p53-independent manner. J Clin Invest. (2002) 110:1717–27. 10.1172/JCI0216588 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Matsushime H, Quelle DE, Shurtleff SA, Shibuya M, Sherr CJ, Kato JY. D-type cyclin-dependent kinase activity in mammalian cells. Mol Cell Biol. (1994) 14:2066–76. 10.1128/MCB.14.3.2066 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Santarius T, Shipley J, Brewer D, Stratton MR, Cooper CS. A census of amplified and overexpressed human cancer genes. Nat Rev Cancer. (2010) 10:59–64. 10.1038/nrc2771 [DOI] [PubMed] [Google Scholar]
- 35.Hall M, Bates S, Peters G. Evidence for different modes of action of cyclin-dependent kinase inhibitors: p15 and p16 bind to kinases, p21 and p27 bind to cyclins. Oncogene. (1995) 11:1581–8. PubMed PMID: 7478582. [PubMed] [Google Scholar]
- 36.LaBaer J, Garrett MD, Stevenson LF, Slingerland JM, Sandhu C, Chou HS, et al. New functional activities for the p21 family of CDK inhibitors. Genes Dev. (1997) 11:847–62. 10.1101/gad.11.7.847 [DOI] [PubMed] [Google Scholar]
- 37.Kanapathipillai M. Treating p53 mutant aggregation-associated cancer. Cancers. (2018) 10:154. 10.3390/cancers10060154 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Georgakilas AG, Martin OA, Bonner WM. p21: a two-faced genome guardian. Trends Mol Med. (2017) 23:310–9. 10.1016/j.molmed.2017.02.001 [DOI] [PubMed] [Google Scholar]
- 39.Faria MH, Patrocinio RM, Moraes Filho MO, Rabenhorst SH. Immunoexpression of tumor suppressor genes p53, p21 WAF1/CIP1 and p27 KIP1 in humam astrocystic tumors. Arq Neuropsiquiatr. (2007) 65:1114–22. 10.1590/S0004-282X2007000700004 [DOI] [PubMed] [Google Scholar]
- 40.Yang HW, Chung M, Kudo T, Meyer T. Competing memories of mitogen and p53 signalling control cell-cycle entry. Nature. (2017) 549:404–8. 10.1038/nature23880 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Liu J, Rao J, Lou X, Zhai J, Ni Z, Wang X. Upregulated TRIM11 exerts its oncogenic effects in hepatocellular carcinoma through inhibition of P53. Cell Physiol Biochem. (2017) 44:255–66. 10.1159/000484678 [DOI] [PubMed] [Google Scholar]
- 42.Liu LP, Yang M, Peng QZ, Li MY, Zhang YS, Guo YH, et al. UBE2T promotes hepatocellular carcinoma cell growth via ubiquitination of p53. Biochem Biophys Res Commun. (2017) 493:20–7. 10.1016/j.bbrc.2017.09.091 [DOI] [PubMed] [Google Scholar]
- 43.Gartel AL, Tyner AL. Transcriptional regulation of the p21((WAF1/CIP1)) gene. Exp Cell Res. (1999) 246:280–9. 10.1006/excr.1998.4319 [DOI] [PubMed] [Google Scholar]
- 44.Matsuda T, Kato T, Kiyotani K, Tarhan YE, Saloura V, Chung S, et al. p53-independent p21 induction by MELK inhibition. Oncotarget. (2017) 8:57938–47. 10.18632/oncotarget.18488 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Shamloo B, Usluer S. p21 in cancer research. Cancers. (2019) 11:1178. 10.3390/cancers11081178 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Venkatesh D, Stockwell BR, Prives C. p21 can be a barrier to ferroptosis independent of p53. Aging. (2020) 12:17800–14. 10.18632/aging.103961 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE36376.