Urokinase plasminogen activator predicts poor prognosis in hepatocellular carcinoma
Introduction
Hepatocellular carcinoma (HCC) is the fifth most common malignancy and the fourth leading cause of cancer-related deaths worldwide (1,2). The occurrence and development of HCC has been linked to multiple risk factors, such as alcohol abuse, hepatitis B and C virus infections, aflatoxin, nonalcoholic fatty liver disease, and genetic factors (3). Although therapeutic approaches such as surgical interventions and targeted therapy have improved in recent years, the prognosis for HCC patients is still very poor (4). The metastasis and recurrence of HCC is a major cause of death (5). Thus, it is important to identify the novel biomarkers of malignant behavior, and in particular the prognostic biomarkers of HCC.
Urokinase plasminogen activator (uPA) is an extracellular proteolytic enzyme, which has a serine protease domain and plays a significant role in tumor metastasis (6,7). By binding to its cell surface receptor uPAR, uPA catalyzes plasminogen to plasmin, initiating metalloproteinase activation which then directly degrades the extracellular matrix (ECM) (8,9). The degradation of ECM contributes to cancer cell invasion and is the first step in tumor progression. In addition, plasminogen activator inhibitors are the main inhibitors of uPA (10,11). Recent findings have suggested that a high expression of uPA is associated with poor prognosis in several cancers, including breast cancer, lung cancer, ovarian cancer, pancreatic cancer, and soft-tissue sarcoma (12-16). A high expression of uPA is reported to promote tumor cell migration and invasion (17-19). However, the majority of published reports are of small or medium size and the correlation between uPA expression and HCC malignant behavior is rarely reported. Therefore, we will test the uPA expression and evaluate the association with malignant features and poor prognosis of HCC in a large patient cohort. The diagnostic and prognostic value of uPA in HCC remain to be clarified.
In the present study, we investigated the uPA expression in HCC and assessed the correlation between uPA and clinical parameters. We explored the prognostic value of uPA in HCC by conducting a survival analysis. We present the following article in accordance with the REMARK reporting checklist (available at https://dx.doi.org/10.21037/jgo-21-343).
Methods
Patients and tissue specimens
A total of 133 paired HCC tumor and paratumor tissues were collected after hepatic resection at Sun Yat-sen University Cancer Center (Guangzhou, China) from 2004 to 2012 and were stored at −80 °C immediately. None of the patients had received preoperative treatments, such as chemotherapy or radiotherapy. All patients were histologically diagnosed with primary HCC and chosen randomized. All procedures performed in this study involving human participants were in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by ethics board of Sun Yat-sen University and informed consent was taken from all the patients.
Quantitative reverse transcription polymerized chain reaction (qRT-PCR)
TRIzol (Invitrogen, Calsbad, CA, USA) was used to extract total RNA from the clinical tissues. One µg mRNA was reverse transcribed to cDNA with random primers using a PrimeScriptRT reagent kit (Promega, Madison, WI, USA) according to the manufacturer's instructions. qRT-PCR was conducted using the ABI 7900HT Fast Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) with SYBR Green SuperMix (Roche, Basel, Switzerland). The expression level of uPA was normalized against endogenous β-actin. The primers of uPA were as follows: sense: 5'-GCCATCCCGGACTATACAGA-3', antisence: 5'-AGGCCATTCTCTTCCTTGGT-3'. The primers of β-actin were as follows: sense: 5'-GAAGAGCTACGAGCTGCCTGA-3', antisence: 5'-CAGA CAGCACTGTGTTGGCG-3'.
Gene Expression Profiling Interactive Analysis (GEPIA) database analysis
The GEPIA database is an interactive online cancer web server that facilitates the analysis of RNA sequencing expressions and their prognostic value (http://gepia.cancerpku.cn/index.html). In this study, we analyzed the uPA expression in tumor and nontumor samples in the GEPIA database which were derived from the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) projects (20). The Student’s t-test was performed to analyze the differential expression between tumor and nontumor tissues. The cutoff fold-change value was 1 and the cutoff P value was 0.01. A survival analysis was also conducted in the GEPIA database. The median was defined as the group cut-off for survival plots.
Statistical analysis
SPSS standard V.16.0 (SPSS, Inc., IL, USA) was used for the data analysis. Results are presented as means ± SD for the three independent experiments. The Student’s t-test was used to compare the differential expression between tumor and nontumor samples. The chi-squared test was used to analyze the association of uPA expression with the clinical-pathological features of HCC patients. The overall survival (OS) analysis of HCC patients in the different uPA expression groups was determined by the Kaplan-Meier method, and comparisons were performed with log-rank tests. P values <0.05 were considered statistically significant.
Results
Analysis of uPA overexpression in HCC using the GEPIA database
We first explored uPA mRNA expression in the GEPIA database. Results showed that uPA was significantly overexpressed in tumor tissues compared with paired normal tissues in many cancer types (Figure 1). We next analyzed uPA expression in HCC and nontumor tissues using TCGA and the GTEx databases. Results demonstrated that uPA was significantly upregulated in 369 HCC tissues compared to 160 nontumor tissues (P<0.05, Figure 2A).
Upregulation of uPA was frequently detected in HCC tissues
To explore whether uPA expression was higher in HCC tissues than in nontumor tissues, we subsequently tested its expression in 133 pairs of primary HCC samples by qRT-PCR. The results showed that uPA was significantly overexpressed in 51 of the 133 (38.3%) HCC tissues compared to their nontumor counterparts (defined as >2-fold change; Figure 2B). The average expression of uPA in the tumor samples was higher than that in the nontumor samples (P<0.05, paired Student’s t-test; Figure 2B). Our results demonstrated uPA was frequently overexpressed in HCC tissues.
uPA upregulation was associated with poor prognosis
To investigate the prognostic value of uPA upregulation in HCC patients, we performed a survival analysis in the GEPIA database and the 133 pairs of primary HCC samples. In the GEPIA database, HCC patients with a high expression of uPA had poorer OS than patients with a low expression of uPA (P=0.025, log-rank test, Figure 3A). We performed a Kaplan-Meier analysis and log-rank tests on the 133 pairs of primary HCC clinical samples. As shown in Figure 3B, the OS rates of HCC patients with high uPA expressions were significantly lower than those with low uPA expressions (P=0.026, log-rank test). Therefore, overexpression of uPA may be a prognostic factor for HCC.
Clinical significance of uPA in HCC
To address the clinical value of uPA in HCC, we analyzed the association of uPA overexpression with the clinical-pathological features of 133 HCC patients. The results showed that the overexpression of uPA was significantly associated with HCC tumor size (P=0.015), differentiation grade (P=0.028), and absence of tumor encapsulation (P=0.010) (Table 1), suggesting that uPA may participate in HCC tumor growth and genesis.
Full table
Discussion
HCC is the fourth leading cause of cancer-related de3ths worldwide and accounts for more than 90% of the histological types of primary liver malignancies (1-3). HCC patients have a high recurrence rate and a poor prognosis (3). Thus, identifying the novel biomarkers of the different pathophysiological stages of HCC is important to improve early disease detection and provide prognostic value for HCC patients.
uPA, a key serine protease, has a restricted substrate specificity to convert the pro-enzyme plasminogen to active serine protease plasmin (21) and is involved in a number of events in the metastatic cascade (22). However, results of in vivo experiments suggest that uPA also cleaves to other proteins in addition to plasminogen, such as alpha6 integrin, fibronectin, uPAR, and hepatocyte growth factor (HGF) (22-24). Plasmin is a broad-spectrum protease and can cleave to multiple substrates including several metalloproteinases which degrade the ECM (25,26), thus promoting cancer cell migration, invasion, and metastasis (27). This process is particularly essential for cancer progression. These reactions are regulated by plasminogen activator inhibitors and by uPA endocytosis (28,29). The plasminogen activator inhibitors PAI-1 and PA1-2 are the main inhibitors of uPA and belong to the serpin family. PAI-1, also known as SERPINE1, is more potent than PAI-2 in inhibiting uPA activity (29-31). PAI-1 balances the adhesion and de-adhesion of cells to the ECM, which is important for tumor cell migration (32,33). Moreover, uPA binding with its receptor uPAR affects migration, adhesion, and metastasis in plasmin-independent ways (34). The interaction of uPA with uPAR, subsequently binding with the plasminogen activator inhibitors to form a covalent complex, promotes the uPA-uPAR complex to be endocytosed and degraded. Recent evidence has demonstrated that the uPA-uPAR complex interacts with integrins and with several ECM proteins to activate intracellular signaling, such as the RAS/Raf and ERK/MAPK signaling pathways (35-37).
Increasing evidence has identified that the uPA system plays a central role in multiple stages of cancer progression, from tumorigenesis to metastasis (27). Many studies have also demonstrated that elevated expressions in various components of the uPA system are related to poor patient outcomes in a wide variety of cancers (12-16). However, to date there have been few reports concerning uPA expression and function in HCC. Zheng et al. suggest that the overexpression of the uPA system in HCC is associated with HCC invasiveness, metastasis, and prognosis (38). Other recent research suggests that elevated levels of serum uPA predict poor prognosis in HCC after resection (39).
In order to explore the expression of uPA in HCC and paired nontumor tissues, we identified the uPA mRNA expression in HCC samples by analyzing gene expressions and clinical prognostic data in the GEPIA and TCGA databases and clinical tissues from our hospital. However, the protein level of uPA in HCC is still unknown, Further Western blot and IHC experiments should be performed to investigate protein expression of uPA in HCC tissues in the future. Our analysis found that uPA was consistently overexpressed in many cancers, suggesting that uPA may act as an oncogene in tumorigenesis in a wide variety of cancers. uPA was significantly overexpressed in HCC tissues compared with paired normal tissues, which indicates the significance of uPA in HCC genesis and progression.
In the present study, the expression of uPA in the GEPIA database and 133 pairs of primary HCCs samples were analyzed, and patients with a high expression of uPA had a poorer OS. These data indicated that an elevated uPA level is an OS prognostic factor for HCC patients. Our results are consistent with other research in lung cancer, breast cancer, and pancreatic cancer (12-14). Our study found that the overexpression of uPA was significantly associated with the absence of HCC tumor encapsulation, which provides additional evidence that a high expression of uPA may be involved in the development and progression of HCC. Metalloproteinase activation and ECM degradation are responsible for HCC encapsulation. Overexpression of uPA may convert the pro-enzyme plasminogen to active plasmin thus activating matrix metalloproteinases (MMPs), which subsequently degrade the ECM (25,26). Likewise, in our study, the overexpression of uPA was also associated with HCC tumor size and grade, suggesting that uPA may participate in HCC tumor growth and genesis. It has been reported that uPA can activate several intracellular signaling pathways such as the RAS/Raf and ERK/MAPK pathways to promote tumor growth and metastasis in plasmin-independent ways (40).
The metastasis and recurrence of HCC is a major cause of death. The liver is an important organ containing much ECM, the degradation of which is important for tumor genesis and migration, and uPA is known to participate in ECM degradation (25,26). In present study, Higher uPA expression is correlated with absence of tumor encapsulation, suggesting uPA may take part in HCC metastasis through degrade tumor ECM. Further mechanism experiments should be performed. uPA expression is also higher in bad differentiation grade and poor outcome patients, indicating that it would serve as a promising prognostic biomarker for HCC.
In the present study, we found that uPA was upregulated in HCC tissues compared with nontumor tissues, and uPA may therefore be a potential prognostic indicator for HCC patients. The association of high uPA expression with the malignant features of HCC indicates that uPA is involved in the development and progression of HCC. However, the potential molecular mechanism remains unknown. Further in vitro and in vivo experiments should be performed to investigate the role of uPA in HCC genesis and progression.
Conclusions
uPA is overexpressed in HCC and is related to the malignant features and poor prognosis of HCC. Our results suggest that uPA is a potential prognostic biomarker of HCC.
Acknowledgments
Funding: This work was supported by the National Natural Science Foundation of China (81802335), the National Natural Science Foundation of Guangdong Province (2018A030310175), the Young Doctoral Plan of Guangzhou Medical University (2016C42), the Young Doctoral Plan of Guangdong Health Commission (B2018059), and the General Guidance Plan of Guangzhou Health Commission (20181A010062).
Footnote
Reporting Checklist: The authors have completed the REMARK reporting checklist. Available at https://dx.doi.org/10.21037/jgo-21-343
Data Sharing Statement: Available at https://dx.doi.org/10.21037/jgo-21-343
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/jgo-21-343). 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. All procedures performed in this study involving human participants were in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by ethics board of Sun Yat-sen University and informed consent was taken from all the patients.
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/.
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(English Language Editor: D. Fitzgerald)