# Downregulation of HBx Restrains Proliferation, Migration, and Invasion of HepG2 Cells

Authors: Chaoqun Huang; Wei Liu; Xiaochuan Zhao; Libin Zhao; Fuxiang Wang
Journal: Analytical Cellular Pathology
 (2021)

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## Abstract

Liver cancer is a major contributor to cancer-related death with poor survival for sufferers. Meanwhile, Hepatic B virus X protein (HBx) and XB130 are likely to participate in the pathogenesis of liver cancer. However, the detailed mechanism of HBx/XB130 in liver cancer remains to be further investigated. Our study explored the effects of HBx/XB130 on liver cancer progression. HBx and XB130 expression was detected by reverse transcription quantitative polymerase chain reaction (RT-qPCR) and Western blot. Overexpression of HBx and XB130 was found in liver cancer tissues and cells. Mechanistic study revealed that HBx could bind to and positively regulate XB130 in HepG2 cells. Subsequently, HBx expression was knocked down, while XB130 was overexpressed in HepG2 cells in order to observe the specific role of HBx/XB130 in liver cancerin vitro. Results of CCK-8, Transwell, wound healing, and colony formation assays suggested that HBx could mediate biological function of HepG2 cells by activating the XB130-mediated PI3K/AKT pathway. In summary, our data illustrate that inhibition of HBx effectively suppressed proliferation and metastasis and induced apoptosis of liver cancer cells, which might be partially reversed by XB130. HBx and XB130 may be potential targets for liver cancer pathogenesis.


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## Body

## 1. Introduction

Based on an estimation by American Cancer Society, liver cancer is a prevalent cancer with a rapidly increasing incidence [1]. Also, the survival rate of liver cancer patients is comparatively low, for instance, only 20% in United Kingdom are alive one year after diagnosis [2]. Based on a global study, there were over 700,000 cases of liver cancer in 2012, among which 56% cases were induced by hepatitis B virus (HBV) and 20% by hepatitis C virus [3]. Burgeoning studies have revealed that HBV plays a crucial role in the development of liver cancer [4, 5]. HBV is a hepadnaviridae family member, which is currently regarded as the smallest animal virus with a diameter of 42 nm and spherically shaped [6]. Although there are effective vaccines and treatment options against HBV, it still poses a significant health concern worldwide, and 2 billion people have been infected with HBV globally [7]. Therefore, identifying the molecular mechanism associated with HBV in liver cancer is essential for improving the survival of patients.Furthermore, HBV X protein (HBx) is closely related to the infection of HBV [8]. HBx is found to be initiated at the integration of HBV DNA into the genome of the hepatocytes, which is often detected in the malignant hepatocytes [9]. Moreover, HBx is associated with liver cancer pathogenesis since HBx could modulate the expression of specific protooncogenes at the transcriptional level, yet the detailed mechanism of HBx remains to be further investigated [10]. Our study attempted to further the study on impacts of HBx on liver cancer progression. Also, mRNA expression of XB130 (also called AFAP1L2) is identified in many organs, including the spleen, thyroid, kidney, brain, lung, pancreas, liver, colon and stomach, and the most significant disease associated with XB130 is cancer [11]. The expression pattern of XB130 have been widely investigated in various human tumors, such as thyroid, esophageal, and gastric cancers [12]. However, there is limited information regarding the specific role of XB130 in liver cancer and its association with HBx. Further exploration reveals that XB130 is correlated with the activation of the phosphoinositide 3-kinase/protein kinase B (PI3K/AKT) pathway in liver cancer [13]. The PI3K/AKT pathway is associated with the proliferation and differentiation, as well as apoptosis of liver cancer cells [14]. Specifically, the PI3K/AKT signaling pathway could promote cell proliferation in liver cancer [15]. The current study focused on the functional role of HBx/XB130/PI3K/AKT regulatory axis in liver cancer. To our best knowledge, the present study is the first to illustrate the binding relation between HBx and XB130 in liver cancer. Our study is expected to reveal a new mechanism for occurrence of HBx-related liver cancer.


## 2. Materials and Methods

### 2.1. Study Object

A total of 63 patients with liver cancer hospitalized in the 962nd Hospital of the PLA from January 2014 to January 2016 were included in this study. All included patients met the following criteria: (1) without history of combined chronic diseases, (2) without history of chemotherapy or physical therapy before surgery in the 962nd Hospital of the PLA, and (3) without family history of related tumors. Based on the 7th edition of tumor lymph node metastasis (TNM) staging standard proposed by the Union for International Cancer Control (UICC) (2010), patients were classified. All surgically resected liver cancer tissues and adjacent normal tissues (more than 5 cm away from cancerous tissues) were rapidly stored in liquid nitrogen at -80°C. Detailed information for patients is listed in Table 1.Table 1
The clinical feature of liver cancer patients.
Clinicopathological featuresCases (n)SexMale35Female28Age (years)≤6041>6022Tumor size≤5 cm36>5 cm27Venous infiltrationYes36No27MetastasisYes42No21


### 2.2. Microarray-Based Analysis

Microarray-based analyses were performed using Affymetrix. RNA was extracted from tissues with TRIzol reagent (Thermo Fisher Scientific Inc., Waltham, MA, USA) and hybridized with GeneChip Human Gene 2.0 ST Array (Thermo Fisher Scientific) at 48°C and 60 rpm, followed by scanning with a GeneChip™ Scanner 3000 7G system (Thermo Fisher Scientific). Data analysis was subsequently carried out using the Expression Console Software with background correction and normalization of raw data using robust multichip analysis. mRNAs with differential expression were identified according tot-test. The heatmap of differentially expressed mRNAs was plotted with p<0.01 and ∣Foldchange∣>2 as the threshold.


### 2.3. Experimental Antibodies

The following antibodies were used in this study: primary antibodies against HBx (ab39716, dilution at 1 : 500 for Western blot analysis; 1 : 100 for RNA immunoprecipitation (RIP) assay; 1 : 200 for immunohistochemistry (IHC); Abcam, Cambridge, UK), XB130 (#12684, dilution at 1 : 1000 for Western blot analysis; 1 : 50 for RIP; 1 : 100 for IHC; Cell Signaling Technology, Boston, MA, USA), PI3K (ab32089, 1 : 1200, Abcam), phosphorylated- (p-) PI3K (ab278545, 1 : 1500, Abcam), AKT (#9272, 1 : 1000, Cell Signaling Technology), p-AKT (Ser473) (#4060, 1 : 2000, Cell Signaling Technology), andβ-actin (sc-47778; 1 : 500, Santa Cruz Biotechnology Inc., Santa Cruz, CA, USA) as well as a secondary antibody (ab205718, 1 : 10,000, Abcam).


### 2.4. IHC

The obtained liver tissue samples were fixed in 4% paraformaldehyde for 1 h and embedded in dehydrated paraffin. Tissues were then sectioned, immersed with blocked permeable solution for 30 min, incubated with 3% hydrogen peroxide for 10 min, and blocked by 5% goat serum. A total of 50μL primary antibody was added into the sections for a 1-h incubation at room temperature, followed by an incubation of secondary antibody for 30 min at 37°C. Next, sections were added with 50 μL peroxidase, and the color was developed with diaminobenzidine for 5 min. Tissue sections were counterstained with hematoxylin. After 30 s of differentiation with ethanol hydrochloride, the cells were dehydrated, mounted, and observed under an inverted microscope (IX53, Olympus, Tokyo, Japan).


### 2.5. Cell Culture and Transfection

Human liver cancer cell line HepG2 and normal hepatocyte MIHA were incubated in Roswell Park Memorial Institute-1640 medium at 37°C with 5% CO2. The cell suspension of HepG2 cells was cultured in a 37°C incubator with 5% CO2 for 24 h, after which cells were seeded onto culture dishes for overnight culture. The plasmids containing small interfering RNA targeting HBx (si-HBx) and XB130 (si-XB130) fragments and empty plasmids were transfected into HepG2 cells using Lipofectamine 2000 (Thermo Fisher Scientific) when cell confluence reached 60%. At 4 h posttransfection, the medium was renewed, and cells were further incubated for 48 h for subsequent experiments. The pcDNA3.1 plasmids (GenePharma, Shanghai, China) were used, while the sequence fragments were synthesized by Sangon Biotechnology (Shanghai, China).


### 2.6. Western Blot Analysis

Cells were dissolved on ice in radioimmunoprecipitation assay buffer (50 mmol/L Tris-Cl [pH=7.5], 120 mmol/L NaCl, 10 mmol/L NaF, 10 mmol/L sodium pyrophosphate, 2 mmol/L ethylenediaminetetraacetic acid, 1 mmol/L Na3VO4, 1 mmol/L phenylmethylsulfonyl fluoride, and 1% NP-40) containing proteinase inhibitor cocktail (Roche, Basel, Switzerland). The protein expression of the lysate was measured by bicinchoninic acid. A total of 30 μg protein was separated by 8% sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to a polyvinylidene fluoride (Millipore, Bedford, MA, USA) membrane, which was blocked with 5% bovine serum albumin after marker separation. Subsequently, the membrane was incubated with the abovementioned primary antibodies at 4°C for 16 h and then with secondary antibody at room temperature for 1 h. Immunoreactive protein bands were determined using enhanced chemiluminescence system (Thermo Fisher Scientific, USA), which were quantified by the QuantityOne v4.6.2 imaging software (Bio-Rad Laboratories, Hercules, CA, USA).


### 2.7. Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR)

Total RNA from tissues and cells was extracted with TRIzol reagent (Thermo Fisher Scientific), followed with measurement of quality and concentration of RNA using a NanoDrop ND1000 spectrophotometer (Thermo Fisher Scientific). RNA was reversely transcribed into complementary DNA (cDNA) using the miRcute miRNA cDNA first-strand synthesis kit (Tiangen Biotech Co., Ltd., Beijing, China). Quantitative PCR was performed using the SYBR-Green I Master Mix kit (Thermo Fisher Scientific), whereas PCR was performed in the GeneAmp PCR system (PE2400, USA). The results of electrophoresis were scanned by an ultraviolet peroxide with Gel Doc 100 gel detector (Bio-Rad), with gray values of each band calculated by the Image J software. Primers for HBx and XB130 (Table2) were synthesized by GenePharma (Shanghai, China).Table 2
Primer sequences for RT-qPCR.
GeneSequencesXB130F: 5′-CGGACTCAGACUCUTGCCUTU-3′R: 5′-CUGUAGCTUACCGTTGUUCG-3′HBxF: 5′-ACCGACCTTGAGGCCTACTT-3′R: 5′-GCTTGGCAGAGGTGAAAG-3′GAPDHF: 5′-GACCTGACCTGCCGTCTA-3′R: 5′-AGGAGTGGGTGTCGCTGT-3′Notes: RT-qPCR: reverse transcription quantitative polymerase chain reaction; GAPDH: glyceraldehyde-3-phosphate dehydrogenase.


### 2.8. RIP

HepG2 cells were incubated with protein G-agarose beads (Roche) at 4°C for 1 h, followed by a centrifugation. The collected supernatant was incubated overnight at 4°C with 4μg antibody against HBx or immunoglobulin G (IgG; Thermo Fisher Scientific). The immune complexes were precipitated by incubation with 50 μL protein G-agarose at 4°C for 3 h. Agarose beads were precipitated by centrifugation and washed three times with lysis buffer. Next, the beads were suspended in 2×Laemmlisamplebuffer (Sigma-Aldrich) for 5 min. The protein G-agarose beads were removed from the complex by a 10,000 × g centrifugation for 5 min, and the supernatant was loaded onto 10% SDS-PAGE for Western blot analysis.


### 2.9. Cell Counting Kit- (CCK-) 8 Assay

Cells were seeded on 96-well plates containing 100μL Dulbecco’s modified eagle medium (DMEM) at a density of 3×103 cells/well. After 24, 48, and 72 h of incubation at 37°C and 5% CO2, the original medium was discarded, and fresh DMEM containing 10 μL CCK-8 solution (Takara Biotechnology Ltd., Dalian, Liaoning, China) was added. After another 3 h of incubation, the optical density (OD) value of cells at 450 nm was measured using a microplate reader RT-6100 (Rayto, Shenzhen, China), and the growth curve was plotted.


### 2.10. Colony Formation Assay

A total of5×103 cells were mixed with 0.5% soft agar (Solarbio, Beijing, China) and added to a 6-well plate covered with 0.8% agar. After being covered with 2 mL complete medium, the plated was subjected to a 2-week culture. Afterwards, colonies were photographed and counted under an inverted microscope (IX53, Olympus Optical Co., Ltd., Tokyo, Japan).


### 2.11. Wound Healing Experiment

Cells at 90% confluence were seeded into a 6-well plate and cultured overnight at 37°C with 5% CO2. Wounds with an interval of 5 mm were made using a pipette along the layer of adherent cells. The cells within the wounds were removed by phosphate-buffered saline (PBS), and fresh medium was added to further the culture. Cell migration to wounds was evaluated by photographing at 0 and 24 h.


### 2.12. Transwell Assay

The invasive ability of HepG2 cells was evaluated by Transwell assay. Cells (5×104) were seeded in 0.5 mL serum-free medium and then added to the apical Transwell chamber, while 0.75 mL medium containing 5% fetal bovine serum added to the basolateral chamber. The Transwell chamber was incubated for 18 h and fixed with 4% paraformaldehyde for 1 h, followed by the removal of cell debris. After being stained with hematoxylin (BD Biosciences, San Jose, CA, USA) for 1 h at room temperature, the cells were photographed under a microscope (IX53, Olympus) with five visual fields randomly selected.


### 2.13. Flow Cytometry for Detection of Cellular Apoptosis

Cell apoptosis was assessed using Annexin V-fluorescein isothiocyanate (FITC)/propidium iodide (PI) apoptosis detection kits (Solarbio). Briefly, cells were detached with 0.25% trypsin, resuspended in PBS with1×106 cells/mL, and fixed with 0.7 mL absolute ethanol for 24 h. After a centrifugation at 180 × g for 30 s, the supernatant was discarded. Cells were resuspended in 1 mL PBS, followed by another centrifugation. The precipitated cells were suspended with 100 μL RNase A (1 mg/mL), and the cell suspension was incubated with 400 μL Annexin V-FITC (50 μg/mL) for 15 min in the dark. Following that, 400 μL PI (50 μg/mL) was added into cells and incubated for 10 min in the dark. The cellular apoptosis was determined by a flow cytometer (CytoFLEX, Beckman Coulter, Inc., Chaska, MN, USA).


### 2.14. Flow Cytometry for Detection of Cellular Cycle

Cells in logarithmic growth phase were seeded in a 6-well plate at1×105 cells/well, which were cultured overnight at 37°C with 5% CO2. After trypsinization, cells were centrifuged in a flow tube at 1000 r/min for 5 min. Following the addition of 70% precooled ethanol, the precipitates were fixed at 4°C for more than 18 h and then mixed with RNAase (50 mg/L) at 10 μL/well and PI (50 mg/L) at 300 μL/well. After 30 min of reaction at room temperature, DNA detection was performed by a flow cytometer (CytoFLEX, Beckman Coulter), and the proportion of cell cycle was analyzed by the Modifit software (Verity Software House, Inc., Topsham, ME, USA).


### 2.15. Statistical Analysis

The SPSS22.0 (IBM SPSS Statistics, Chicago, IL, USA) was employed for statistical analysis. Measurement data derived from repeated independent experiments were expressed asmean±standarddeviation. Survival analysis was performed by means of Kaplan-Meier analysis. Paired t-test was used for comparison between two groups, while one-way or two-way analysis of variance (ANOVA) and Tukey’s post hoc test were used for data comparison among multiple groups. p<0.05 was regarded as the indicator of statistical significance.


## 2.1. Study Object

A total of 63 patients with liver cancer hospitalized in the 962nd Hospital of the PLA from January 2014 to January 2016 were included in this study. All included patients met the following criteria: (1) without history of combined chronic diseases, (2) without history of chemotherapy or physical therapy before surgery in the 962nd Hospital of the PLA, and (3) without family history of related tumors. Based on the 7th edition of tumor lymph node metastasis (TNM) staging standard proposed by the Union for International Cancer Control (UICC) (2010), patients were classified. All surgically resected liver cancer tissues and adjacent normal tissues (more than 5 cm away from cancerous tissues) were rapidly stored in liquid nitrogen at -80°C. Detailed information for patients is listed in Table 1.Table 1
The clinical feature of liver cancer patients.
Clinicopathological featuresCases (n)SexMale35Female28Age (years)≤6041>6022Tumor size≤5 cm36>5 cm27Venous infiltrationYes36No27MetastasisYes42No21


## 2.2. Microarray-Based Analysis

Microarray-based analyses were performed using Affymetrix. RNA was extracted from tissues with TRIzol reagent (Thermo Fisher Scientific Inc., Waltham, MA, USA) and hybridized with GeneChip Human Gene 2.0 ST Array (Thermo Fisher Scientific) at 48°C and 60 rpm, followed by scanning with a GeneChip™ Scanner 3000 7G system (Thermo Fisher Scientific). Data analysis was subsequently carried out using the Expression Console Software with background correction and normalization of raw data using robust multichip analysis. mRNAs with differential expression were identified according tot-test. The heatmap of differentially expressed mRNAs was plotted with p<0.01 and ∣Foldchange∣>2 as the threshold.


## 2.3. Experimental Antibodies

The following antibodies were used in this study: primary antibodies against HBx (ab39716, dilution at 1 : 500 for Western blot analysis; 1 : 100 for RNA immunoprecipitation (RIP) assay; 1 : 200 for immunohistochemistry (IHC); Abcam, Cambridge, UK), XB130 (#12684, dilution at 1 : 1000 for Western blot analysis; 1 : 50 for RIP; 1 : 100 for IHC; Cell Signaling Technology, Boston, MA, USA), PI3K (ab32089, 1 : 1200, Abcam), phosphorylated- (p-) PI3K (ab278545, 1 : 1500, Abcam), AKT (#9272, 1 : 1000, Cell Signaling Technology), p-AKT (Ser473) (#4060, 1 : 2000, Cell Signaling Technology), andβ-actin (sc-47778; 1 : 500, Santa Cruz Biotechnology Inc., Santa Cruz, CA, USA) as well as a secondary antibody (ab205718, 1 : 10,000, Abcam).


## 2.4. IHC

The obtained liver tissue samples were fixed in 4% paraformaldehyde for 1 h and embedded in dehydrated paraffin. Tissues were then sectioned, immersed with blocked permeable solution for 30 min, incubated with 3% hydrogen peroxide for 10 min, and blocked by 5% goat serum. A total of 50μL primary antibody was added into the sections for a 1-h incubation at room temperature, followed by an incubation of secondary antibody for 30 min at 37°C. Next, sections were added with 50 μL peroxidase, and the color was developed with diaminobenzidine for 5 min. Tissue sections were counterstained with hematoxylin. After 30 s of differentiation with ethanol hydrochloride, the cells were dehydrated, mounted, and observed under an inverted microscope (IX53, Olympus, Tokyo, Japan).


## 2.5. Cell Culture and Transfection

Human liver cancer cell line HepG2 and normal hepatocyte MIHA were incubated in Roswell Park Memorial Institute-1640 medium at 37°C with 5% CO2. The cell suspension of HepG2 cells was cultured in a 37°C incubator with 5% CO2 for 24 h, after which cells were seeded onto culture dishes for overnight culture. The plasmids containing small interfering RNA targeting HBx (si-HBx) and XB130 (si-XB130) fragments and empty plasmids were transfected into HepG2 cells using Lipofectamine 2000 (Thermo Fisher Scientific) when cell confluence reached 60%. At 4 h posttransfection, the medium was renewed, and cells were further incubated for 48 h for subsequent experiments. The pcDNA3.1 plasmids (GenePharma, Shanghai, China) were used, while the sequence fragments were synthesized by Sangon Biotechnology (Shanghai, China).


## 2.6. Western Blot Analysis

Cells were dissolved on ice in radioimmunoprecipitation assay buffer (50 mmol/L Tris-Cl [pH=7.5], 120 mmol/L NaCl, 10 mmol/L NaF, 10 mmol/L sodium pyrophosphate, 2 mmol/L ethylenediaminetetraacetic acid, 1 mmol/L Na3VO4, 1 mmol/L phenylmethylsulfonyl fluoride, and 1% NP-40) containing proteinase inhibitor cocktail (Roche, Basel, Switzerland). The protein expression of the lysate was measured by bicinchoninic acid. A total of 30 μg protein was separated by 8% sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to a polyvinylidene fluoride (Millipore, Bedford, MA, USA) membrane, which was blocked with 5% bovine serum albumin after marker separation. Subsequently, the membrane was incubated with the abovementioned primary antibodies at 4°C for 16 h and then with secondary antibody at room temperature for 1 h. Immunoreactive protein bands were determined using enhanced chemiluminescence system (Thermo Fisher Scientific, USA), which were quantified by the QuantityOne v4.6.2 imaging software (Bio-Rad Laboratories, Hercules, CA, USA).


## 2.7. Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR)

Total RNA from tissues and cells was extracted with TRIzol reagent (Thermo Fisher Scientific), followed with measurement of quality and concentration of RNA using a NanoDrop ND1000 spectrophotometer (Thermo Fisher Scientific). RNA was reversely transcribed into complementary DNA (cDNA) using the miRcute miRNA cDNA first-strand synthesis kit (Tiangen Biotech Co., Ltd., Beijing, China). Quantitative PCR was performed using the SYBR-Green I Master Mix kit (Thermo Fisher Scientific), whereas PCR was performed in the GeneAmp PCR system (PE2400, USA). The results of electrophoresis were scanned by an ultraviolet peroxide with Gel Doc 100 gel detector (Bio-Rad), with gray values of each band calculated by the Image J software. Primers for HBx and XB130 (Table2) were synthesized by GenePharma (Shanghai, China).Table 2
Primer sequences for RT-qPCR.
GeneSequencesXB130F: 5′-CGGACTCAGACUCUTGCCUTU-3′R: 5′-CUGUAGCTUACCGTTGUUCG-3′HBxF: 5′-ACCGACCTTGAGGCCTACTT-3′R: 5′-GCTTGGCAGAGGTGAAAG-3′GAPDHF: 5′-GACCTGACCTGCCGTCTA-3′R: 5′-AGGAGTGGGTGTCGCTGT-3′Notes: RT-qPCR: reverse transcription quantitative polymerase chain reaction; GAPDH: glyceraldehyde-3-phosphate dehydrogenase.


## 2.8. RIP

HepG2 cells were incubated with protein G-agarose beads (Roche) at 4°C for 1 h, followed by a centrifugation. The collected supernatant was incubated overnight at 4°C with 4μg antibody against HBx or immunoglobulin G (IgG; Thermo Fisher Scientific). The immune complexes were precipitated by incubation with 50 μL protein G-agarose at 4°C for 3 h. Agarose beads were precipitated by centrifugation and washed three times with lysis buffer. Next, the beads were suspended in 2×Laemmlisamplebuffer (Sigma-Aldrich) for 5 min. The protein G-agarose beads were removed from the complex by a 10,000 × g centrifugation for 5 min, and the supernatant was loaded onto 10% SDS-PAGE for Western blot analysis.


## 2.9. Cell Counting Kit- (CCK-) 8 Assay

Cells were seeded on 96-well plates containing 100μL Dulbecco’s modified eagle medium (DMEM) at a density of 3×103 cells/well. After 24, 48, and 72 h of incubation at 37°C and 5% CO2, the original medium was discarded, and fresh DMEM containing 10 μL CCK-8 solution (Takara Biotechnology Ltd., Dalian, Liaoning, China) was added. After another 3 h of incubation, the optical density (OD) value of cells at 450 nm was measured using a microplate reader RT-6100 (Rayto, Shenzhen, China), and the growth curve was plotted.


## 2.10. Colony Formation Assay

A total of5×103 cells were mixed with 0.5% soft agar (Solarbio, Beijing, China) and added to a 6-well plate covered with 0.8% agar. After being covered with 2 mL complete medium, the plated was subjected to a 2-week culture. Afterwards, colonies were photographed and counted under an inverted microscope (IX53, Olympus Optical Co., Ltd., Tokyo, Japan).


## 2.11. Wound Healing Experiment

Cells at 90% confluence were seeded into a 6-well plate and cultured overnight at 37°C with 5% CO2. Wounds with an interval of 5 mm were made using a pipette along the layer of adherent cells. The cells within the wounds were removed by phosphate-buffered saline (PBS), and fresh medium was added to further the culture. Cell migration to wounds was evaluated by photographing at 0 and 24 h.


## 2.12. Transwell Assay

The invasive ability of HepG2 cells was evaluated by Transwell assay. Cells (5×104) were seeded in 0.5 mL serum-free medium and then added to the apical Transwell chamber, while 0.75 mL medium containing 5% fetal bovine serum added to the basolateral chamber. The Transwell chamber was incubated for 18 h and fixed with 4% paraformaldehyde for 1 h, followed by the removal of cell debris. After being stained with hematoxylin (BD Biosciences, San Jose, CA, USA) for 1 h at room temperature, the cells were photographed under a microscope (IX53, Olympus) with five visual fields randomly selected.


## 2.13. Flow Cytometry for Detection of Cellular Apoptosis

Cell apoptosis was assessed using Annexin V-fluorescein isothiocyanate (FITC)/propidium iodide (PI) apoptosis detection kits (Solarbio). Briefly, cells were detached with 0.25% trypsin, resuspended in PBS with1×106 cells/mL, and fixed with 0.7 mL absolute ethanol for 24 h. After a centrifugation at 180 × g for 30 s, the supernatant was discarded. Cells were resuspended in 1 mL PBS, followed by another centrifugation. The precipitated cells were suspended with 100 μL RNase A (1 mg/mL), and the cell suspension was incubated with 400 μL Annexin V-FITC (50 μg/mL) for 15 min in the dark. Following that, 400 μL PI (50 μg/mL) was added into cells and incubated for 10 min in the dark. The cellular apoptosis was determined by a flow cytometer (CytoFLEX, Beckman Coulter, Inc., Chaska, MN, USA).


## 2.14. Flow Cytometry for Detection of Cellular Cycle

Cells in logarithmic growth phase were seeded in a 6-well plate at1×105 cells/well, which were cultured overnight at 37°C with 5% CO2. After trypsinization, cells were centrifuged in a flow tube at 1000 r/min for 5 min. Following the addition of 70% precooled ethanol, the precipitates were fixed at 4°C for more than 18 h and then mixed with RNAase (50 mg/L) at 10 μL/well and PI (50 mg/L) at 300 μL/well. After 30 min of reaction at room temperature, DNA detection was performed by a flow cytometer (CytoFLEX, Beckman Coulter), and the proportion of cell cycle was analyzed by the Modifit software (Verity Software House, Inc., Topsham, ME, USA).


## 2.15. Statistical Analysis

The SPSS22.0 (IBM SPSS Statistics, Chicago, IL, USA) was employed for statistical analysis. Measurement data derived from repeated independent experiments were expressed asmean±standarddeviation. Survival analysis was performed by means of Kaplan-Meier analysis. Paired t-test was used for comparison between two groups, while one-way or two-way analysis of variance (ANOVA) and Tukey’s post hoc test were used for data comparison among multiple groups. p<0.05 was regarded as the indicator of statistical significance.


## 3. Results

### 3.1. HBx and XB130 Are Upregulated in Patients with Liver Cancer

The cancer tissues and adjacent normal tissues were obtained from patients with liver cancer. For microarray-based analysis, patients at each stage (T1 to T4) were selected, respectively, to extract total RNA from liver cancer tissues and adjacent normal tissues. It was found that HBx and XB130 were the most significantly upregulated genes (fold change higher than 10) in liver cancer tissues (Figure1(a)). Therefore, HBx and XB130 were determined as the targets of the study. To verify the reliability of the microarray data, we conducted RT-qPCR assays. Our results showed that HBx and XB130 expression was upregulated in cancer tissues of all enrolled liver patients (Figures 1(b) and 1(c)) and positively correlated with the tumor size (Figures 1(d) and 1(e)). In order to further detect the protein levels of HBx and XB130 in liver cancer tissues, IHC staining was performed. As expected, the positive rates of HBx and XB130 in liver cancer tissues were much higher than those in adjacent tissues (Figure 1(f)). Subsequently, HBx and XB130 were used as biomarkers to analyze the prognosis of liver cancer patients. The patients were grouped by the median expression of HBx and XB130, respectively. Patients with low expression of HBx and XB130 showed higher survival rate after surgery (Figures 1(g) and 1(h)).Figure 1
Expression of HBx and XB130 in liver cancer tissues and the matched adjacent normal tissues. (a) Differentially expressed mRNAs in liver cancer tissues and adjacent normal tissues screened out using microarray-based analyses. (b, c) Expression of HBx and XB130 in liver cancer and adjacent tissues examined by RT-qPCR. (d, e) Correlation analyses on HBx and XB130 expression with tumor size. (f) HBx and XB130 expression in tissues analyzed by immunohistochemistry. (g, h) Survival analysis on HBx and XB130 expression with prognosis of liver cancer patients.∗p<0.05 indicates statistical significance.
(a)(b)(c)(d)(e)(f)(g)(h)


### 3.2. HBx and XB130 Are Aberrantly Expressed in HepG2 Cells

Expression of HBx and XB130 in both HepG2 cells and normal hepatocytes MIHA was further explored. It was shown that both HBx and XB130 were highly expressed in HepG2 cells compared with the MIHA cells (Figure2(a)). Western blot analysis also revealed that the protein levels of HBx and XB130 were increased in HepG2 cells in contrast to MIHA cells (Figure 2(b)). The results indicated that HBx and XB130 may play a promoting role in the development of liver cancer. Therefore, HepG2 cells were transfected with pcDNA 3.1 plasmid containing si-HBx or XB130-OE. HBx/XB130 expression in cells was quantified by PCR to select the cells with the highest efficiency, that is, the cells with the lowest expression of HBx and the highest expression of XB130 for subsequent experiments (Figures 2(c) and 2(d)).Figure 2
Expression of HBx/XB130 in liver cancer cells and normal hepatocytes. (a) Expression of HBx/XB130 in HepG2 and MIHA cells determined by RT-qPCR. (b) Protein levels of HBx/XB130 in HepG2 and MIHA cells analyzed by Western blot analysis. (c, d) Transfection efficiency of pcDNA 3.1 plasmids containing si-HBx or XB130-OE evaluated by RT-qPCR.∗p<0.05 and ∗∗p<0.01.
(a)(b)(c)(d)


### 3.3. HBx Binds to XB130 in HepG2 Cells

Next, we investigated the binding relation between HBx and XB130 in HepG2 cells. Among HepG2 cells overexpressing XB130, HBx expression did not significantly change. However, in cells with HBx depletion, XB130 level was reduced (Figure3(a)). The protein levels of XB130 and HBx (Figure 3(b)) were similar to the results we observed in Figure 3(a). Correlation of the HBx with XB130 expression was analyzed in liver cancer tissues, which showed that HBx expression was positively correlated with XB130 expression (Figure 3(c)). The binding of HBx to XB130 was further detected using RIP, which displayed that enrichment of XB130 in cells with low expression of HBx was significantly reduced (Figure 3(d)). These results indicated that HBx might bind to XB130 in HepG2 cells to affect the cellular activity in liver cancer.Figure 3
Binding relation of HBx with XB130 in HepG2 cells. (a, b) mRNA and protein expression of HBx and XB130 in HepG2 cells with high expression of XB130 and low expression of HBx determined by RT-qPCR and Western blot analysis. (c) Correlation of XB130 with HBx in liver cancer tissues. (d) Binding relation between HBx and XB130 analyzed by RIP.∗#p<0.05.
(a)(b)(c)(d)


### 3.4. Downregulation of HBx Hinders Proliferation of HepG2 Cells, which Can Be Partially Restored by XB130 Overexpression

Subsequently, HBx expression was silenced, while XB130 was overexpressed simultaneously in HepG2 cells (Figure4(a)). Stably transfected HepG2 cells were cultured for 0, 24, 48, and 72 h, respectively, followed by observation of the OD value at 450 nm using CCK-8 assay. After 72 h, the OD value of cells with low expression of HBx decreased distinctly. In contrast, the OD value of cells cotransfected with XB130 was elevated, indicating enhanced proliferation ability (Figure 4(b)). Meanwhile, colony formation of cells was observed, in which the number of cell colonies formed was reduced after HBx was silenced, while simultaneously overexpression of XB130 increased the number of cell colonies formed (Figure 4(c)). These experiments suggested that the downregulation of HBx reduced the proliferation ability of HepG2 cells, while increase of XB130 expression partially reversed the inhibiting effects of depleted HBx on cell proliferation.Figure 4
HBx/XB130 axis facilitates proliferation of HepG2 cells. (a) Transfection efficiency of cells with silenced HBx and overexpressed XB130 detected by RT-qPCR. (b) Proliferative ability of cells examined by CCK-8 assay. (c) Colony formation ability of cells examined by colony formation assay.∗#p<0.05.
(a)(b)(c)


### 3.5. Loss of HBx Suppresses Migration/Invasion of HepG2 Cells

Wounds were made at an interval of 5 mm in HepG2 cells which were further cultured for 24 h to observe the distance of wound healing. The distance between the wounds was significantly wider in HepG2 cells with silencing of HBx than that in HepG2 cells with si-NC, while the upregulation of XB130 in the presence of HBx knockdown led to the opposite result (Figure5(a)). Transwell assay revealed that the number of invasive cells was lessened after HBx was downregulated, which was partially increased after XB130 was upregulated (Figure 5(b)), indicating that depletion of HBx inhibited cell migration and invasion, while XB130 could reverse the inhibiting effect of si-HBx on cell migration and invasion.Figure 5
HBx promotes migration/invasion of HepG2 cells by upregulating XB130. (a) Cellular migration assessed by wound healing assays. (b) Number of invasive cells determined by Transwell assay.∗#p<0.05.
(a)(b)


### 3.6. Depletion of HBx Promotes Apoptosis of HepG2 Cells

To further detect the effect of downregulated HBx on HepG2 cell apoptosis, flow cytometry was conducted, the results of which showed that low expression of HBx increased the percentage of double positive cells, yet further overexpression of XB130 reduced cell apoptosis (Figure6(a)). The cell cycle was further examined, and it was found that poor expression of HBx arrested more cells in G0/G1 phase but less cells in the S phase, accompanied with basically unchanged G2/M phase. However, further overexpression of XB130 promoted cells arrested in G0/G1 phase entering into the S phase (Figure 6(b)), which indicated that downregulation of HBx increased the apoptotic HepG2 cells, while XB130 curtailed the apoptotic activity of cells.Figure 6
HBx suppresses apoptosis of HepG2 cells by increasing XB130 expression. (a) Cell apoptosis examined using flow cytometry. (b) Cell cycle determined using flow cytometry.∗#p<0.05.
(a)(b)


### 3.7. HBx Blocks the PI3K/AKT Pathway via XB130

The extent of AKT phosphorylation (Ser473) was detected in MIHA and HepG2 cells by Western blot analysis. Results showed that the extent of PI3K and AKT phosphorylation in HepG2 cells was increased. Moreover, it was found that the downregulation of HBx reduced the extent of PI3K and AKT phosphorylation in HepG2 cells, which was partially restored after overexpression of XB130. The above results indicated that the activity of PI3K/AKT pathway was elevated in HepG2 cells and could be mediated by HBx/XB130 axis (Figure7).Figure 7
HBx activates the PI3K/AKT pathway by upregulating XB130, which is determined by Western blot analysis.∗#&p<0.05.


## 3.1. HBx and XB130 Are Upregulated in Patients with Liver Cancer

The cancer tissues and adjacent normal tissues were obtained from patients with liver cancer. For microarray-based analysis, patients at each stage (T1 to T4) were selected, respectively, to extract total RNA from liver cancer tissues and adjacent normal tissues. It was found that HBx and XB130 were the most significantly upregulated genes (fold change higher than 10) in liver cancer tissues (Figure1(a)). Therefore, HBx and XB130 were determined as the targets of the study. To verify the reliability of the microarray data, we conducted RT-qPCR assays. Our results showed that HBx and XB130 expression was upregulated in cancer tissues of all enrolled liver patients (Figures 1(b) and 1(c)) and positively correlated with the tumor size (Figures 1(d) and 1(e)). In order to further detect the protein levels of HBx and XB130 in liver cancer tissues, IHC staining was performed. As expected, the positive rates of HBx and XB130 in liver cancer tissues were much higher than those in adjacent tissues (Figure 1(f)). Subsequently, HBx and XB130 were used as biomarkers to analyze the prognosis of liver cancer patients. The patients were grouped by the median expression of HBx and XB130, respectively. Patients with low expression of HBx and XB130 showed higher survival rate after surgery (Figures 1(g) and 1(h)).Figure 1
Expression of HBx and XB130 in liver cancer tissues and the matched adjacent normal tissues. (a) Differentially expressed mRNAs in liver cancer tissues and adjacent normal tissues screened out using microarray-based analyses. (b, c) Expression of HBx and XB130 in liver cancer and adjacent tissues examined by RT-qPCR. (d, e) Correlation analyses on HBx and XB130 expression with tumor size. (f) HBx and XB130 expression in tissues analyzed by immunohistochemistry. (g, h) Survival analysis on HBx and XB130 expression with prognosis of liver cancer patients.∗p<0.05 indicates statistical significance.
(a)(b)(c)(d)(e)(f)(g)(h)


## 3.2. HBx and XB130 Are Aberrantly Expressed in HepG2 Cells

Expression of HBx and XB130 in both HepG2 cells and normal hepatocytes MIHA was further explored. It was shown that both HBx and XB130 were highly expressed in HepG2 cells compared with the MIHA cells (Figure2(a)). Western blot analysis also revealed that the protein levels of HBx and XB130 were increased in HepG2 cells in contrast to MIHA cells (Figure 2(b)). The results indicated that HBx and XB130 may play a promoting role in the development of liver cancer. Therefore, HepG2 cells were transfected with pcDNA 3.1 plasmid containing si-HBx or XB130-OE. HBx/XB130 expression in cells was quantified by PCR to select the cells with the highest efficiency, that is, the cells with the lowest expression of HBx and the highest expression of XB130 for subsequent experiments (Figures 2(c) and 2(d)).Figure 2
Expression of HBx/XB130 in liver cancer cells and normal hepatocytes. (a) Expression of HBx/XB130 in HepG2 and MIHA cells determined by RT-qPCR. (b) Protein levels of HBx/XB130 in HepG2 and MIHA cells analyzed by Western blot analysis. (c, d) Transfection efficiency of pcDNA 3.1 plasmids containing si-HBx or XB130-OE evaluated by RT-qPCR.∗p<0.05 and ∗∗p<0.01.
(a)(b)(c)(d)


## 3.3. HBx Binds to XB130 in HepG2 Cells

Next, we investigated the binding relation between HBx and XB130 in HepG2 cells. Among HepG2 cells overexpressing XB130, HBx expression did not significantly change. However, in cells with HBx depletion, XB130 level was reduced (Figure3(a)). The protein levels of XB130 and HBx (Figure 3(b)) were similar to the results we observed in Figure 3(a). Correlation of the HBx with XB130 expression was analyzed in liver cancer tissues, which showed that HBx expression was positively correlated with XB130 expression (Figure 3(c)). The binding of HBx to XB130 was further detected using RIP, which displayed that enrichment of XB130 in cells with low expression of HBx was significantly reduced (Figure 3(d)). These results indicated that HBx might bind to XB130 in HepG2 cells to affect the cellular activity in liver cancer.Figure 3
Binding relation of HBx with XB130 in HepG2 cells. (a, b) mRNA and protein expression of HBx and XB130 in HepG2 cells with high expression of XB130 and low expression of HBx determined by RT-qPCR and Western blot analysis. (c) Correlation of XB130 with HBx in liver cancer tissues. (d) Binding relation between HBx and XB130 analyzed by RIP.∗#p<0.05.
(a)(b)(c)(d)


## 3.4. Downregulation of HBx Hinders Proliferation of HepG2 Cells, which Can Be Partially Restored by XB130 Overexpression

Subsequently, HBx expression was silenced, while XB130 was overexpressed simultaneously in HepG2 cells (Figure4(a)). Stably transfected HepG2 cells were cultured for 0, 24, 48, and 72 h, respectively, followed by observation of the OD value at 450 nm using CCK-8 assay. After 72 h, the OD value of cells with low expression of HBx decreased distinctly. In contrast, the OD value of cells cotransfected with XB130 was elevated, indicating enhanced proliferation ability (Figure 4(b)). Meanwhile, colony formation of cells was observed, in which the number of cell colonies formed was reduced after HBx was silenced, while simultaneously overexpression of XB130 increased the number of cell colonies formed (Figure 4(c)). These experiments suggested that the downregulation of HBx reduced the proliferation ability of HepG2 cells, while increase of XB130 expression partially reversed the inhibiting effects of depleted HBx on cell proliferation.Figure 4
HBx/XB130 axis facilitates proliferation of HepG2 cells. (a) Transfection efficiency of cells with silenced HBx and overexpressed XB130 detected by RT-qPCR. (b) Proliferative ability of cells examined by CCK-8 assay. (c) Colony formation ability of cells examined by colony formation assay.∗#p<0.05.
(a)(b)(c)


## 3.5. Loss of HBx Suppresses Migration/Invasion of HepG2 Cells

Wounds were made at an interval of 5 mm in HepG2 cells which were further cultured for 24 h to observe the distance of wound healing. The distance between the wounds was significantly wider in HepG2 cells with silencing of HBx than that in HepG2 cells with si-NC, while the upregulation of XB130 in the presence of HBx knockdown led to the opposite result (Figure5(a)). Transwell assay revealed that the number of invasive cells was lessened after HBx was downregulated, which was partially increased after XB130 was upregulated (Figure 5(b)), indicating that depletion of HBx inhibited cell migration and invasion, while XB130 could reverse the inhibiting effect of si-HBx on cell migration and invasion.Figure 5
HBx promotes migration/invasion of HepG2 cells by upregulating XB130. (a) Cellular migration assessed by wound healing assays. (b) Number of invasive cells determined by Transwell assay.∗#p<0.05.
(a)(b)


## 3.6. Depletion of HBx Promotes Apoptosis of HepG2 Cells

To further detect the effect of downregulated HBx on HepG2 cell apoptosis, flow cytometry was conducted, the results of which showed that low expression of HBx increased the percentage of double positive cells, yet further overexpression of XB130 reduced cell apoptosis (Figure6(a)). The cell cycle was further examined, and it was found that poor expression of HBx arrested more cells in G0/G1 phase but less cells in the S phase, accompanied with basically unchanged G2/M phase. However, further overexpression of XB130 promoted cells arrested in G0/G1 phase entering into the S phase (Figure 6(b)), which indicated that downregulation of HBx increased the apoptotic HepG2 cells, while XB130 curtailed the apoptotic activity of cells.Figure 6
HBx suppresses apoptosis of HepG2 cells by increasing XB130 expression. (a) Cell apoptosis examined using flow cytometry. (b) Cell cycle determined using flow cytometry.∗#p<0.05.
(a)(b)


## 3.7. HBx Blocks the PI3K/AKT Pathway via XB130

The extent of AKT phosphorylation (Ser473) was detected in MIHA and HepG2 cells by Western blot analysis. Results showed that the extent of PI3K and AKT phosphorylation in HepG2 cells was increased. Moreover, it was found that the downregulation of HBx reduced the extent of PI3K and AKT phosphorylation in HepG2 cells, which was partially restored after overexpression of XB130. The above results indicated that the activity of PI3K/AKT pathway was elevated in HepG2 cells and could be mediated by HBx/XB130 axis (Figure7).Figure 7
HBx activates the PI3K/AKT pathway by upregulating XB130, which is determined by Western blot analysis.∗#&p<0.05.


## 4. Discussion

HBV has been suggested to significantly induce liver cancer, and liver cancer remains one of the frequent cancers with an increasing death rate [16]. However, the underlying regulatory mechanism of HBV-infected liver cancer has not been fully elaborated. The present study was conducted in a bid to explore HBx-regulated mechanism in liver cancer, in which we collected clinical liver cancer tissues and adjacent tissues and purchased liver cancer cell line HepG2, since HepG2 cells are the most frequently used cell line for studies on liver cancer [17].According to the microarray-based study, we found that HBx and XB130 were remarkably upregulated, which was consistent with our further detection of HBx and XB130 expression in liver cancer tissues and cells. As Arzumanyan et al. revealed, highly expressed HBx stimulated cell migration, growth in soft agar, and spheroid formation of cancer stem cells [18]. Our study also exhibited that patients with low expression of HBx had a higher survival rate, which was consistent with a prior study reporting that upregulated HBx predicts a poor overall survival and relapse-free survival of patients with hepatocellular carcinoma [19]. Moreover, it is demonstrated that the positive rate of XB130 in liver cancer patients (n=64) is 75% [20]. However, the comparison of XB130 expression between cancer tissues and adjacent normal tissues and the detailed molecular mechanism underlying XB130 in liver cancer have not been fully elucidated. All the above cited literature cooperatively supports our findings that HBx and XB130 were upregulated in liver cancer, which may play an oncogenic role in liver cancer.The subsequent investigation explored the regulatory relationship between HBx and XB130 in liver cancer. HepG2 cells were transfected with pcDNA 3.1 plasmids with altered expression of HBx or XB130. Our results of Western blot analysis, correlation study, and RIP assay together indicated that HBx bound to and positively regulated expression of XB130 in liver cancer, which has not been reported previously and highlighted the novelty of the study. However, the binding of HBx with other proteins has been reported before. For instance, HBx could bind to cellular damaged DNA binding protein 1 which is an adaptor protein for the cullin 4A Really Interesting New Gene E3 ubiquitin ligase complex [21]. Moreover, Lee et al. reported that suppression of SELENBP1 by HBx might serve as one of the causes in the development of hepatocellular carcinoma caused by HBV infection [22]. XB130 has also been reported to be an adaptor protein with controversial effects on cancers, since expression of XB130 differs depending on types of cancers [23]. Our mechanistic analysis further showed that HBx activated the PI3K/AKT pathway via positively regulating XB130 expression. The PI3K pathway is an intracellular signaling pathway that acts as a modulator in cell survival, proliferation, and differentiation and plays a critical role in tumorigenesis [24]. It has been documented that the levels of p-PI3K and  p-AKT increased in hepatocellular carcinoma cells following the overexpression of XB130, indicating that XB130 activated the PI3K/AKT pathway [13]. However, the upstream mechanism of XB130-mediated PI3K/AKT pathway activation remains unclear. In the present study, we found that the inhibitory effects of si-HBx on the PI3K/AKT pathway were mitigated by XB130, indicating the regulatory role of HBx in the PI3K/AKT pathway. Consistently, another study proves that the kinases AKT, ERK, and JNK were phosphorylated and activated by ectopic expression of HBx in hepatocellular carcinoma cells [25].We then furthered our study on the impacts of HBx/XB130/PI3K/AKT pathway on biological function of HepG2 cells. Results of CCK-8, Transwell, wound healing experiment, and colony formation assay suggested that HBx downregulation hampered proliferation, migration, and invasion of HepG2 cells but induced the cell apoptosis, which were reversed by XB130 overexpression. Also, the PI3K/AKT pathway was involved in the HBx/XB130-mediated events. These results validated our statement that HBx and XB130 accelerated progression of liver cancerin vitro in association with the PI3K/AKT pathway.


## 5. Conclusion

Conclusively, this study proposed high expression of HBx/XB130 in liver cancer. Mechanistically, overexpression of XB130 can partially reversed the inhibiting effects of depleted HBx on cells (Figure8), which provided a possible target for the treatment of liver cancer. However, an in vivo assay is needed to further verify our findings derived from in vitro experiments. Nevertheless, the current study presents a novel mechanism for HBV-related liver cancer and may assist to develop novel therapeutic approaches.Figure 8
Schematized analysis showing that HBx promotes activity of PI3K/AKT pathway by binding to XB130, which enhanced proliferation, migration, and invasion of HepG2 cells and curtailed cellular apoptosis.



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