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Introduction

Liver cancer is one of the commonest malignant tumors worldwide. In 2018, the estimated global incidence was ~841,000, with ~782,000 related deaths, while the incidence in China accounts for ~55%, with 110,000 deaths every year (1-3). Currently, there are a variety of treatment options for liver cancer at different stages, including routine options (such as hepatectomy and transcatheter arterial chemoembolization), molecular targeted therapy (VEGF/VEGF monoclonal antibody, EGF receptor inhibitors) and immunotherapy (programmed death-1/programmed death-ligand 1), which can prolong the survival time and prognosis of some patients (4-6). However, due to the selection of indications, sensitivity to treatment and other reasons, most patients have not received effective treatment. Therefore, it is important to explore the mechanism of proliferation, invasion and metastasis of liver cancer. In recent years, research on PKN1 in tumors has attracted much attention and PKN1 has been reported as a promising therapeutic target for prostate cancer (7,8). However, the role of PKN1 in liver cancer remains to be elucidated.

PKN1, also known as PKC-related protein 1, is a serine/threonine protein kinase belonging to the PKC superfamily (9). It is reported that PKN1 may participate in cytoskeletal reconstruction, cell adhesion, apoptosis, tumor cells and other life processes (10-12). Overexpression of PKN1 serves an important role in the development of neurodegenerative diseases, prostate cancer, ovarian cancer, endometrial cancer and other tumors (9,13-16). PKN1 contains a unique regulatory domain in the amino terminus, which presents a loop of serine/threonine protein kinase that serves a key role in activation of PKN1. PKN1 can act upstream of mitogen-activated PKs, C-Jun N-terminal kinase and p38, or downstream of EGF signaling and TGF-β (12,16,17). Activated PKN1 regulates the invasion of prostate cancer cells and phosphorylation of p38, which further regulates a signaling cascade of invasion-related genes PXN, NEDD9 and NT5E/CD73(8). Yang et al (18) demonstrated that PKN1, as an important member of PI3K/AKT/mTOR signaling pathway, affects the differentiation of prostate adenocarcinoma cells and is closely associated with Gleason score. Inhibition of PKN1 blocks transcriptional activation in androgen-dependent cancer cells (7). In endometrial cancer cells, PKN1 modulates TGF-β and EGF-dependent regulation of cell proliferation, migration and invasiveness and therefore is a component of the network signaling downstream of TGF-β and EGF (15). James et al (19) demonstrated that inhibition of PKN1 expression stimulates apoptosis in malignant melanoma cells by regulating the WNT/β-catenin pathway.

In the present study, the expression of PKN1 in surgical specimens was investigated by immunohistochemistry and the correlation with VEGF, MVD, Ki67 index and clinicopathological parameters was analyzed. At the same time, the effects of PKN1 on the proliferation, invasion and apoptosis of liver cancer cells were detected in vitro and the role of PKN1 in liver cancer progression was further explored.

Materials and methods

Patients and specimens

A total of 36 patients with hepatocellular carcinoma (HCC) who were treated at Binzhou Medical University Hospital were enrolled. Patients who had received preoperative radiotherapy or chemotherapy or had tumors of other sites were excluded. Complete clinical and pathological data were recorded and hepatectomy specimens were collected by the Pathology Department of the Hospital. There were 27 males and 9 female patients, with a mean age of 58.8±9.6 years (range 36-77 years). The study was approved by the Ethics Committee of Binzhou Medical University (Yantai, China; approval no. 2018-012) as required by the Declaration of Helsinki. Prior to sample collection, written consent to use their tissues was obtained from all patients.

The present study is a retrospective study and all 36 patients had single lesions, including 13 in the left hepatic lobe and 23 in the right hepatic lobe, and adjacent normal tissue was also obtained from the patients. The longest diameter ranged from 2 cm to 13 cm, with an average of 6.6±3.4 cm (<6.6 cm in 23 cases and ≥6.6 cm in 13 cases). Histological grading of HCC was divided into well-differentiated (grade I; n=7), moderately differentiated (grade II and III; n=21) and poorly differentiated (grade IV; n=8) according to Edmondson-Steiner grading system (20,21).

Immunohistochemistry

All samples of pathological specimens were fixed in 4% paraformaldehyde for 24 h at room temperature, followed by gradient dehydration and paraffin embedding; 4-µm sections were prepared for immunohistochemical staining. The sections were incubated with 0.01 mol/l citrate buffer (pH 6.0) in a microwave oven at 98˚C, three times for 5 min, for antigen retrieval. Endogenous peroxidase was blocked by treatment with 3% H2O2 for 20 min at room temperature. After pretreatment with normal goat serum (OriGene Technologies, Inc.) for 30 min at room temperature to block nonspecific binding, the sections were incubated with rabbit anti-PKN1 polyclonal antibody (cat. no. bs-7478R; BIOSS; 1:500), rabbit anti-VEGF polyclonal antibody (cat. no. 190031; ProteinTech Group, Inc.; 1:500) and rabbit anti-Ki67 ready-to use antibody (cat. no. ZM-0167; OriGene Technologies, Inc.; 1:100) and rabbit anti cluster of differentiation (CD)34 ready-to use antibody (cat. no. ZM-0046; OriGene Technologies, Inc.) overnight at 4˚C. Negative control was obtained by replacing the primary antibody with phosphate-buffered saline. Biotinylated goat anti-rabbit immunoglobulin G (cat. no. ZB-2301; OriGene Technologies, Inc.; 1:500) was applied as a secondary antibody for 30 min at 37˚C. The peroxidase reactivity was visualized by the application of 3,3'-diaminobenzidine solution (OriGene Technologies, Inc.) for 5 min. Finally, the sections were counterstained with hematoxylin for 2 min at room temperature.

The necrotic area and severe inflammatory area were avoided in the selection of liver cancer specimens and significant areas of expression were selected for analysis. The immunoreactivity of PKN1 and VEGF was evaluated according to integral optical density (IOD) by Image-Pro Plus 6.0 (Media Cybernetics, Inc.). Ki67 proliferation index was calculated with Image Pro Plus 6.0 as follows: Ki67 (%)=positive tumor cells/all tumor cells x100%. MVD was marked by CD34 (a classic endothelium marker). The mean number of stained microvessels was recorded from five unduplicated high-power fields (magnification, x400) per specimen.

Cells culture and reagents

The human liver cancer cell lines (HepG2 and Hep3B) were purchased from the cell banks of the Chinese Academy of Science and were cultured in Dulbecco's modified Eagle medium (DMEM) with high glucose (HyClone; Cytiva) and 10% fetal bovine serum (FBS; Gibco; Thermo Fisher Scientific, Inc.) at 37˚C in a humidified atmosphere with 5% CO2. Then, three siRNAs against PKN1 were designed (19) and synthesized by Shanghai GenePharma Co., Ltd.: siPKN1-1: 5'-CCUCGAAGAUUUCAAGUUC-3'; siPKN1-2: 5'-GAACAUGAUCCAGACCUACAGCAAU-3'; siPKN1-3: 5'-ACAGUAAGACCAAGAUUGA-3'; and Negative control (NC) group 5'-UUCUCCGAACGUGUCACGUTT-3'. HepG2 and Hep3B cells were seeded in six-well plates and transfected with 100 pmol siRNA using Lipofectamine® 2000 (Thermo Fisher Scientific, Inc.). PKN1 expression was detected using western blotting to confirm transfection efficiency. Of the three siRNAs, the two more efficient silencing sequences were selected for the following assays.

Reverse transcription-quantitative (RT-q) PCR

Total RNA (24 h after transfection) of liver cancer cells was isolated with RNAiso plus reagent (Takara Biotechnology Co., Ltd.) and cDNA was generated with a PrimeScript RT Reagent kit with gDNA Eraser (Takara Biotechnology Co., Ltd.). Quantitative gene expression was performed for PKN1 and GAPDH (internal control) by LightCycler 480 SYBR-Green I Master Mix Reagent kit and the LightCycler 480 real-time System (Roche Diagnostics). Nucleotide sequences of specific primer for genes were as follows: PKN1 forward, 5'-AAAGCAGAAGCCGAGAACAC-3' and reverse, 5'-ACACAGCCAACTCCAGTTCC-3'; GAPDH forward, 5'-GAAGGTGAAGGTCGGAGTC-3' and reverse, 5'-GAAGATGGTGATGGGATTTC-3'. PCR amplification was performed under the following conditions: Initial denaturation for 10 min at 96˚C, followed by 40 cycles at 95˚C for 15 sec and 60˚C for 60 sec. For each sample, the data was normalized to GAPDH to obtain ΔCt and calculated using the 2-ΔΔCq method (22). Gene silencing rate (%)=(1-2ΔΔCq) x100%.

Western blotting

Cellular proteins were collected 72 h after transfection and lysed with RIPA lysis buffer and phenylmethanesulfonyl fluoride (Beyotime Institute of Biotechnology). A BCA Protein Assay kit (cat. no. P0010; Beyotime Institute of Biotechnology) was used to detect protein concentration. Protein samples (40 µg/lane) were separated by 12% SDS-PAGE and transferred to polyvinylidene fluoride membranes. Membranes were blocked with 5% skimmed milk in TBST buffer (TBS with 0.1% Tween-20) for 2 h at room temperature to avoid non-specific staining, then incubated with primary antibody overnight at 4˚C and HRP-conjugated secondary antibodies (cat. no. ZB-2301; OriGene Technologies, Inc.; 1:50,000) for 30 min at 37˚C. Primary antibodies used were as follows: PKN1 (cat. no. ab231038; Abcam; 1:500) and GAPDH (cat. no. sc-25778; Santa Cruz Biotechnology, Inc.; 1:5,000). Protein bands were visualized by enhanced ECL chemiluminescence (Beyotime Institute of Biotechnology). IOD values were measured with the Image-Pro Plus 6.0 system (Media Cybernetics, Inc.).

Cell proliferation assay

Proliferation of HepG2 and Hep3B cells was detected using Cell Counting Kit-8 (CCK-8; Biosharp Life Sciences). Cells were seeded in a 96-well plate at a density of 5x103 cells/well and incubated for 0, 24 and 48 h. Cells were incubated for 1 h and OD at 450 nm was measured using an automatic spectrophotometer (SpectraMax M2; Molecular Devices, LLC). Cell viability was calculated based on OD values using the following equation: Cell viability=ODtest group/ODcontrol group x100%. Experiments were performed in triplicate.

Colony formation assay

HepG2 and Hep3B cells were seeded into six-well plates (5x103 cells/well) at 24 h after transfection and incubated with 10% FBS DMEM for 10 days. Cells were stained with 0.1% crystal violet staining solution (G1064; Solarbio) for 20 min and the number of colonies with >50 cells counted. Colony formation rate (%)=colony numbers/seeded cells x100%. Five random unduplicated fields were analyzed for each well and each experiment was performed in triplicate.

Wound scratch assay

Cells (5x105) were seeded in six-well plates and cultured for 24 h at 37˚C with 5% CO2. Mitomycin C (10 µg/ml) was added for 1 h before processing to eliminate the effect of cell proliferation. Horizontal lines were scratched with 20-µl pipette tips and the wells were washed three times with PBS to remove the scratched-out cells at room temperature, then incubated with 1% FBS DMEM at 37˚C with 5% CO2 (1). Images were captured at 0, 12 and 24 h and measured the scratch healing ability of the cells with an Image-Pro Plus 6.0 system. Each experiment was performed in triplicate.

Cell invasion assay

Transwell chambers with 8-mm pores (Corning Inc.) were used to detect cell invasion ability. In the upper chambers, 5x104 cells were resuspended in 200 µl serum-free DMEM after Matrigel was coated at the bottom of the upper portion at 4˚C and incubated at 37˚C for 2 h. The lower portion of the chamber contained 500 µl 10% FBS DMEM. The cells were cultured at 37˚C in 5% CO2 for 24 h. Cells traversing the Matrigel were fixed in 95% anhydrous methanol for 15 min at room temperature, air-dried for 10 min and stained with 0.1% crystal violet (Beijing Solarbio Science & Technology Co., Ltd.) for 20 min at room temperature. Each experiment was performed in triplicate.

Apoptosis assay

The Annexin V method was used to detect apoptosis. Cells were collected by trypsin digestion at 48 h after transfection. A suspension of 1x106 cells/ml was made by 1X Binding Buffer. Next, 5 µl Annexin V-fluorescein isothiocyanate was added, followed by 5 µl propidium iodide for 15 min in the dark at room temperature. Fluorescence signals from at least 10,000 cells were evaluated using a flow cytometer (EPICS XL; Beckman Coulter, Inc.). FACSDiva version 6.1.3 software (BD Biosciences) was used to analyze and generated percentages in all of the quadrants. The mean percentage of apoptosis rate (early + late apoptotic cells) and standard deviation were calculated from three repeated assays.

Statistical analysis

All data were analyzed with SPSS 22.0 software (IBM Corp.). The values are presented as the mean ± standard deviation. Tukey's post hoc test was performed following one-way ANOVA to analyze statistically the mean values among multiple groups and Student's t test was used to compare the differences between two groups. Spearman rank test was used to verify the correlations. P<0.05 was considered to indicate a statistically significant difference. GraphPad Prism version 5 (GraphPad Software) was used for charts.

Results

Correlation of PKN1 expression with VEGF, Ki67, MVD and clinicopathological parameters in HCC

The immunoreactivity of PKN1, VEGF, Ki67 and CD34 in all 36 HCC specimens was tested and expression was analyzed with Image Pro Plus 6.0. No significant differences were observed in patients' sex, age, or tumor location and size in PKN1, VEGF, Ki67 and MVD (P>0.05; Table I). PKN1 was expressed in all HCC tissues (Fig. 1A and B) and its expression was positively correlated with tumor histological grading, while PKN1 expression in adjacent normal tissue was very weak. The IOD of PKN1 in moderately and poorly differentiated HCC was significantly higher compared with highly differentiated HCC (P<0.01), but no significant difference was observed between moderately and poorly differentiated HCC (P>0.05). The expression of VEGF in moderately and poorly differentiated HCC was significantly higher compared with highly differentiated tumor (P<0.05), which was in accordance with PKN1 expression (Fig. 1C and D). Correlation analysis of PKN1, VEGF, Ki67 expression and MVD in HCC demonstrated that expression of PKN1 was positively correlated with Ki67 (P<0.01; r=0.493) and MVD (P<0.01; r=0.442), and the expression of Ki67 (Fig. 1E and F) was positively correlated with MVD (Fig. 1G and H; P<0.01; r=0.445; Table II).

Figure 1 Expression of PKN1, VEGF, Ki67 and MVD distribution in HCC tissues (original magnification, x400). (A) PKN1 immunohistochemically staining located in cytoplasm demonstrated higher intensity in moderately differentiated HCC and (B) lower intensity in highly differentiated HCC. (C) VEGF expression in the cytoplasm shows higher intensity in poorly differentiated HCC and (D) lower in highly differentiated HCC. (E) Ki67 expression in the nucleus demonstrated higher proliferation index in poorly differentiated HCC and (F) lower index in highly differentiated HCC. MVD had higher distribution in (G) moderately differentiated HCC compared with (H) highly differentiated HCC. PKN1, protein kinase N1; Ki67, cell proliferation index; MVD, microvascular density; HCC, hepatocellular carcinoma.

Table I Correlation of expression of PKN1, VEGF, Ki67 and MVD with clinicopathological parameters in HCC.

Table I

Correlation of expression of PKN1, VEGF, Ki67 and MVD with clinicopathological parameters in HCC.

Feature	n	PKN1, IOD	VEGF, IOD	MVD, microvessel number	Ki67 rate, %,
Age
<59	16	39,972.39±12,397.59	52,774.82±10,833.22	21.89±7.81	35.86±13.52
≥59	20	33,338.48±12,097.38	52,392±12,905.93	20.87±5.16	32.57±15.95
Sex
Male	27	36,516.58±12,886.37	53,665.35±12,464.26	21.66±6.53	34.95±15.97
Female	9	35,597.82±12,010.71	49,252.54±9,718.765	20.33±6.21	31.31±10.92
Tumor location
Left lobe	13	34,161.05±10,294.14	51,360.11±14,249.16	19.57±7.24	30.29±12.07
Right lobe	23	37,488.45±13,674.28	53,241.56±10,575.52	22.32±5.79	36.15±16.02
Tumor size
<6.6 cm	23	35,465.07±11,013.2	54,168.92±12,992.34	22.05±6.76	36.31±14.26
≥6.6 cm	13	37,740.88±15,181.86	49,719.4±9,346.68	20.04±5.70	30.02±15.47
Histological grading
Highly	7	23,094.83±8,535.475	42,483.76±9,727.804	14.39±7.93	21.56±4.77
Moderately	21	39,205.88±11,414.21b	53,875.5±10,686.89a	22.74±4.79b	34.42±14.71a
Poorly	8	40,167.58±11,444.56b	57,933.17±12,515.03a	23.68±4.91a	43.95±13.80b

[i] ^aP<0.05;

[ii] ^bP<0.01. The data are presented as the mean ± SD. PKN1, protein kinase N1; Ki67, cell proliferation index; MVD, microvascular density; HCC, hepatocellular carcinoma; IOD, integral optical density.

Table II Correlation analysis of the expression of PKN1, VEGF, Ki67 and MVD in HCC.

Table II

Correlation analysis of the expression of PKN1, VEGF, Ki67 and MVD in HCC.

	PKN1	VEGF	MVD	Ki67
PKN1
P-value	/	0.128	0.007b	0.002b
r	/	0.258	0.442	0.493
VEGF
P-value	0.128	/	0.236	0.36
r	0.258	/	0.203	0.157
MVD
P-value	0.007b	0.236	/	0.007b
r	0.442	0.203	/	0.445

[i] PKN1, protein kinase N1; Ki67, cell proliferation index; MVD, microvascular density; HCC, hepatocellular carcinoma.

Acquisition of efficient silencing sequence

According to RT-qPCR (24 h after transfection), the efficient silencing sequences were siPKN1-2 and siPKN1-3, with a rate of gene silencing of >75%. Western blotting demonstrated that expression of PKN1 (72 h after transfection) was downregulated in the siPKN1-2 and siPKN1-3 groups (Fig. 2). Thus, two different efficient silencing sequences (siPKN1-2 and siPKN1-3) were confirmed to explore the following biological function of PKN1 in liver cancer cells.

Figure 2 siPKN1-2 and siPKN1-3 were confirmed as efficient silencing sequences. PKN1 expression in HepG2 and Hep3B cell lines was detected by reverse transcription-quantitative PCR and western blotting following transfection with siPKN1-1, siPKN1-2 and siPKN1-3 sequences. It was determined that siPKN1-2 and siPKN1-3 were efficient silencing sequences to perform the following experiments. si, short interfering; PKN1, protein kinase N1; CON, control; NC, negative control.

Downregulated PKN1 expression suppresses proliferation of liver cancer cells

CCK-8 assay demonstrated that OD of HepG2 and Hep3B cells after transfection were significantly suppressed compared with the NC group, particularly at 48 h after transfection (P<0.01; Fig. 3A). The colony formation assay demonstrated that downregulation of PKN1 in HepG2 and Hep3B cells inhibited the number of colonies (P<0.01; Fig. 3B). These results indicated that downregulation of PKN1 expression suppresses viability and proliferation of liver cancer cells.

Figure 3 Downregulated PKN1 expression suppresses proliferation of liver cancer cells. Silencing PKN1 inhibited proliferation of liver cancer cells. (A) Proliferation curve was generated according to optical density of proliferative cells at 0, 24 and 48 h after PKN1 transfection. (B) Colony forming ability was suppressed when cells were cultured for 10 days after transfection and stained with 0.1% crystal violet. **P<0.01. PKN1, protein kinase N1; NC, negative control; si, short interfering.

Downregulated PKN1 expression inhibits migration and invasion of liver cancer cells

To investigate the effects of PKN1 on migration and invasion of liver cancer cells, a wound scratch assay and Transwell invasion assay were performed. The wound scratch assay revealed that cell healing in the siPKN1 group was significantly slower compared with the NC group at 24 h after transfection (P<0.01; Fig. 4A). The Transwell invasion assay demonstrated that downregulation of PKN1 significantly reduced invasion of HepG2 and Hep3B cells across the Matrigel (P<0.01; Fig. 4B). These results suggest that PKN1 knockdown inhibits migration and invasion of liver cancer cells.

Figure 4 Downregulated PKN1 expression inhibits migration and invasion of liver cancer cells (original magnification, x100). (A) Wound scratch assay revealed that cell healing ability in siPKN1 group was significantly slower than the NC group. (B) Transwell invasion assay demonstrated that downregulation of PKN1 significantly reduced invasion of liver cancer cells across the Matrigel (original magnification, x400). **P<0.01. PKN1, protein kinase N1; si, short interfering; NC, negative control.

Downregulated PKN1 expression enhances apoptosis of liver cancer cells

To verify the effect of PKN1 silencing on apoptosis of liver cancer cells, the Annexin V method with flow cytometry was used, which demonstrated that the apoptosis rate of HepG2 and Hep3B cells transfected with siPKN1 was significantly higher compared with cells transfected with negative siRNA (P<0.01; Fig. 5). This indicated that downregulation of PKN1 expression enhances apoptosis of liver cancer cells.

Figure 5 Downregulated PKN1 expression enhances apoptosis of liver cancer cells. Flow cytometry was used to analyzed apoptosis rate of HepG2 and Hep3B cells, including Q4 (early apoptosis) and Q2 (late apoptosis). The results demonstrated apoptosis was promoted when PKN1 was silenced compared with the NC groups. **P<0.01. PKN1, protein kinase N1; NC, negative control; si, short interfering.

Discussion

With the advance of medical technology, the treatment of liver cancer has entered the era of precise and multi-disciplinary combination therapy. Currently, molecular targeted drugs such as sorafenib, regorafenib, lenvatinib and immune checkpoint inhibitors have prolonged the survival of some patients (23-26). However, for complex reasons, the prognosis of most liver cancer patients is still unsatisfactory (27). Abnormal activation or overexpression of oncogenes is closely associated with tumor occurrence and development. Elucidating the role of oncogenes is important for the prevention and treatment of liver cancer.

Recent studies have shown that abnormal PKN family expression is closely associated with the occurrence and development of many diseases (8,9,13-16). The three subtypes PKN1, PKN2 and PKN3 are involved in many cellular processes, such as cytoskeletal remodeling and glucose transport and potential roles served in neurodegeneration and cancer (11-13). As a major member of the PKN family, PKN1 gene is activated when cancer cells are hypoxic-ischemic, which can affect cell adhesion, regulate angiogenesis and influence invasion and metastasis (7,8). In the present study, PKN1 expression was detected in the samples of all patients with HCC and expression was closely associated with the histopathological grading of HCC. PKN1 expression in moderately and poorly differentiated HCC was significantly higher compared with highly differentiated HCC. Some researchers have noted that the histological grading of HCC is an important prognostic factor after surgery and compared with low-grade HCC, high-grade HCC is prognostic of a worse survival rate (24,25).

Previous studies have shown that liver cancer is a highly vascularized malignant tumor and angiogenesis is a marker of tumor development (26,28). MVD, an important indicator of tumor angiogenesis activity, can reflect the angiogenesis and distribution of tumors and is one of the markers for prediction of tumor progression and prognosis (29). Mukai et al (30) showed that PKN3 (an isoform of PKN family) knock-down induces a glycosylation defect of cell-surface glycoproteins, including intercellular adhesion molecule-1, integrin β1 and integrin α5 in human umbilical vascular endothelial cells and the PKN3 knockout mice exhibited an impaired lung metastasis of melanoma cells. PKN3 inhibition increases its downstream target gene VE-cadherin levels and alters endothelial function, resulting in reduced colonization and micro-metastasis formation (31). Unfortunately, there have been few studies about PKN1 and tumor vascular endothelial activity. In the present study, the trend in expression of VEGF was similar to that of PKN1; both of which were significantly higher in moderately and poorly differentiated HCC compared with highly differentiated HCC. MVD marked with CD34 in moderately and poorly differentiated HCC was significantly higher compared with highly differentiated HCC. However, no definite correlation was found between MVD and VEGF in HCC.

Ki67 proliferation index reflects the degree of tumor proliferation, which is significantly correlated with tumor doubling time (32). In the present study, the Ki67 index in moderately and poorly differentiated HCC was also significantly higher compared with highly differentiated HCC, which was positively correlated with PKN1 expression. The above immunohistochemical results suggested that PKN1 served a role in promoting angiogenesis and proliferation of HCC.

Invasion, metastasis, proliferation and apoptosis of tumor cells are important biological indicators of malignant tumor cells. Previous studies have validated the roles of PKN1 in promoting the progression of endometrial and prostate cancer cells and malignant melanoma cells (15,18,19). HepG2 and Hep3B cells have been cultured as liver cancer cells for studies on biological and pharmaceutical properties of liver cancer (1,33). In vitro, it was found that migration and invasion of liver cancer cells were significantly inhibited when PKN1 expression was silenced compared with the NC group. As described earlier, the catalytic region at the carboxyl end of PKN1 is 50% homologous to members of the PKC family and once PKN1 is switched, the signaling pathways such as TGF-β/EGF, PI3K/AKT/mTOR and Wnt/β-catenin are activated (15,18). Downstream effects of PKN1 and signaling pathways had been shown to be important in some cancer types (17,18) and it is hoped to explore the mechanism of PKN1 in HCC in follow-up experiments. PKN1 is also an effector molecule of Ras homolog gene family, member A (RhoA)/Ras-related C3 botulinum toxin substrate 1 (RAC1) and mediates cell migration by phosphorylating cytoskeleton organization proteins. PKN1 phosphorylation/activation may be involved in the regulation of endothelial cell proliferation and migration; two events that are essential for angiogenesis (34-36).

The imbalance between apoptosis and cell proliferation contributes to tumor formation and progression. Previous studies have shown that PKN1 has a cleavage site of caspase-3 and is hydrolyzed into 55-kD kinase protein by caspase-3 and apoptotic protease, which strengthens the activity of PKN1 (37-39). However, Koh et al (40) report that PKN2 suppresses the antiapoptotic activity of AKT by blocking the phosphorylation of Thr308, Ser473 and its downstream target protein BAD. Tofacitinib, as an inhibitor of JAK1 and JAK3, has been approved for the treatment of rheumatoid arthritis and myeloproliferative diseases. Inhibiting JAK function has been shown to efficiently prevent the uncontrolled growth of cancerous cells (41). Previous studies also suggest that JAK1-3 inhibitor tofacitinib and analogs potently blocks PKN1 activity for the treatment of cancer as well as immune-mediated diseases (42,43). The present study demonstrated that cell proliferation decreased and apoptosis of liver cancer cells increased significantly when PKN1 expression was silenced. In other words, inhibition of PKN1 may inhibit proliferation and increase apoptosis of tumor cells, thus inhibiting tumor growth. The in vitro experiments suggested that PKN1 served a role as an oncogene in the development and progression of liver cancer, which is consistent with the immune response results in clinical studies of liver cancer. Future experiments will be performed to observe the PKN1 gene therapeutic effect in vivo using a liver cancer transplantation model.

In conclusion, PKN1 was highly expressed in HCC clinical specimens and was positively correlated with HCC histological grading, Ki67 expression and MVD. When the expression of PKN1 is silenced, apoptosis is enhanced and proliferation, migration and invasiveness of liver cancer cells are decreased.

Acknowledgements

The authors would like to thank Professor Shuhua Wu, Miss Yingying Han and Miss Yangyang Li (Binzhou Medical University Hospital, Binzhou, China). In addition, the authors would like to thank the teachers of the Medical Research Centre of Binzhou Medical University (Yantai, China).

Funding

Funding: Professor Peiyuan Wang was supported by the Natural Science Fund of Shandong Province (grant no. ZR2018MH034).

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Authors' contributions

PW and XW designed the research. XW, YG, MS and HD performed the research. WL and PW analyzed the data. PW and XW drafted the manuscript, and confirmed the authenticity of all the raw data. All authors read and approved the final manuscript.

Ethics approval and consent to participate

All experimental protocols involving human tissue samples were approved by the Ethics Committee of Binzhou Medical University (Yantai, China; approval no. 2018-012). The patients provided written informed consent.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References