# AEG-1 Contributes to Metastasis in Hypoxia-Related Ovarian Cancer by Modulating the HIF-1alpha/NF-kappaB/VEGF Pathway

Authors: Xiaoyu Yu; Yan Wang; Huilei Qiu; Hongtao Song; Di Feng; Yang Jiang; Shuzhe Deng; Hongxue Meng; Jingshu Geng
Journal: BioMed Research International
 (2018)

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## Abstract

Objective. Ovarian carcinoma represents one of the deadliest malignancies among female cancer patients. Astrocyte-elevated gene-1 (AEG-1) participates in the ontogenesis of multiple human malignant diseases. Here we evaluated AEG-1, hypoxia-inducible factor- (HIF-) 1α, nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB), and vascular endothelial growth factor (VEGF) amounts in hypoxia induced ovarian carcinoma cells. This study aimed to explore the mechanism by which AEG-1 regulates metastasis in hypoxia induced ovarian carcinoma.Patients and Methods. AEG-1, HIF-1α, and VEGF protein amounts were evaluated by immunohistochemistry in 40 and 170 normal ovary and ovarian cancer tissue specimens, respectively. In addition, AEG-1, HIF-1α, NF-κB, and VEGF mRNA and protein levels were determined by reverse quantified RT-PCR and WB, respectively, at different time periods (0–24 h) in epithelial ovarian cancer (EOC) SKOV3 cells treated in a hypoxia incubator. Furthermore, NF-κB and VEGF gene and protein expression levels in AEG-1 knockdown EOC cells were quantitated by RT-PCR and WB, respectively.Results. AEG-1, HIF-1α, and VEGF amounts were significantly elevated in EOC tissue samples compared with normal ovary specimens (p<0.001). Positive expression of HIF-1α and AEG-1 was associated with higher metastatic rate (p<0.01), lower FIGO stage (p<0.001), and degree of differentiation (p<0.001). Meanwhile, EOC SKOV3 cells grew upon exposure to hypoxia for 8 h (p<0.001); at this time point, AEG-1, HIF-1α, NF-κB, and VEGF amounts peaked (p<0.001), at both the gene and the protein levels. After AEG-1 knockdown, HIF-1α, NF-κB, and VEGF amounts were significantly decreased in EOC SKOV3 cells, also under hypoxic conditions (p<0.01).Conclusions. As an independent prognostic factor, AEG-1 was found to be significantly associated with hypoxia in ovarian cancer by regulating the HIF-1alpha/NF-kappaB/VEGF pathway. Therefore, AEG-1 may be useful in determining disease stage and prognosis in ovarian cancer.


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## Body

## 1. Introduction

Ovarian carcinoma, a commonly encountered primary malignancy, represents one of the deadliest malignant tumors in female patients around the world. Astrocyte-elevated gene-1 (AEG-1) plays multiple roles and acts as an important molecule regulating a variety of events in carcinogenesis. Mounting evidence indicates that AEG-1 expression is elevated in a wide range of malignancies [1, 2], such as hepatocellular, gallbladder, renal cell, breast, lung, and ovarian carcinomas [3]. The above works showed that AEG-1 constitutes a critical transcription factor in cancer metastasis and invasion. However, the mechanism by which AEG-1 regulates metastasis in ovarian carcinoma remains largely unknown.HIF-1α, firstly identified as a transcription factor, is activated by hypoxic stress. In addition, it acts as a hypoxia-inducible nuclear factor in VSMCs and has significant functions in hypoxic responses in human cells, modulating the transcription of hypoxia-inducible genes [4].This work evaluated AEG-1, HIF-1α, NF-κB, and VEGF protein and mRNA amounts in epithelial ovarian cancer (EOC) cells cultured under hypoxic conditions and found potential associations of AEG-1, NF-κB, and VEGF expression levels with hypoxia induced ovarian cancer growth.


## 2. Materials and Methods

### 2.1. Patient Population

The current study had approval from the Cancer Hospital of Harbin Medical University, Harbin, China. Written informed consent was obtained from each patient. Samples were collected from 170 and 40 patients with EOC and normal ovary suffering from other diseases, respectively, who underwent surgery between February 2007 and February 2009 in the Cancer Hospital of Harbin Medical University. Tumor stage in each patient was evaluated according to the International Federation of Gynecology and Obstetrics (FIGO) classification. Histopathological grades were determined according to the World Health Organization criteria.


### 2.2. Immunohistochemical Staining

AEG-1, HIF-1α, and VEGF protein levels were assessed immunohistochemically in biopsy samples after paraffin-embedding, by the avidin-biotin immunoperoxidase method, as instructed by the manufacturer. After dewaxing and rehydration by standard methods, the sections were incubated with primary antibodies targeting human AEG-1 (ab45338, Abcam), HIF-1α (ab16066, Abcam), and VEGF (ab155944, Abcam) overnight at 4°C, respectively, followed by incubation with biotin-conjugated secondary antibodies (Santa Cruz, USA). Negative control slides were incubated with rabbit serum in lieu of primary antibodies.


#### 2.2.1. Cell Culture

Human EOC SKOV3 cells were purchased from the Cell Institute of Chinese Academy of Sciences, Shanghai, and grown in McCoy’s 5A medium containing 10% fetal bovine serum at 37°C in a normal 5% CO2 cell culture incubator. To induce hypoxia, cell culture was performed in an anaerobic chamber containing 1% O2, 5% CO2, and 94% N2, at 37°C for 0, 2, 4, 8, 10, 12, and 24 h, respectively.


#### 2.2.2. Lentiviral Infection

AEG-1 knockdown lentivirus was manufactured by Shanghai GenePharma Co.,Ltd. SKOV3 cells were plated into 3.5 cm dishes (1 × 106 cells/dish) for 24 h prior to lentiviral infection at a multiplicity of infection (MOI) of 4. Infection efficiency, assessed by fluorescence microscopy detecting GFP at 48 h after infection, was >90%.


#### 2.2.3. Quantified Real-Time PCR Assay

Cellular RNA extraction was carried out with TRIzol reagent (Takara, Otsu, Shi, Japan). Then, real-time PCR was performed on a DNA Engine Opticon™ sequence detector. Primers for AEG-1, HIF-1α, and VEGF were designed with Primer Bank. Mean Ct (triplicate experiments) was employed for data analysis, with the endogenous control U6 snRNA used for normalization.


#### 2.2.4. Immunoblot

Total protein was obtained from SKOV3 cells using RIPA buffer supplemented with proteinase/phosphatase inhibitors (Thermo, Cambridge, MA). Equal amounts of total protein were resolved by 10 or 12% SDS-PAGE, followed by transfer onto nitrocellulose membranes (Millipore, Bedford, MA). Anti-AEG-1 (1 : 500), NF-κB (1 : 1000), HIF-1α (1 : 500), and VEGF (1 : 1000) (Abcam) primary antibodies were used for detection.


#### 2.2.5. Transwell Invasion Assay

Cells cultured in media with or without 100 nM rapamycin were harvested after 8 h of exposure to hypoxia. Those cultured under normoxic conditions in parallel were used as the control group.


### 2.3. Statistics

Data aremean±SEM. Groups were compared by one-way analysis of variance (ANOVA) with SPSS 13.0 (SPSS, USA), followed by Bonferroni post hoc tests. Unpaired Student’st-test was used to assess group pairs. A statistical significance level of 0.05 was used.


## 2.1. Patient Population

The current study had approval from the Cancer Hospital of Harbin Medical University, Harbin, China. Written informed consent was obtained from each patient. Samples were collected from 170 and 40 patients with EOC and normal ovary suffering from other diseases, respectively, who underwent surgery between February 2007 and February 2009 in the Cancer Hospital of Harbin Medical University. Tumor stage in each patient was evaluated according to the International Federation of Gynecology and Obstetrics (FIGO) classification. Histopathological grades were determined according to the World Health Organization criteria.


## 2.2. Immunohistochemical Staining

AEG-1, HIF-1α, and VEGF protein levels were assessed immunohistochemically in biopsy samples after paraffin-embedding, by the avidin-biotin immunoperoxidase method, as instructed by the manufacturer. After dewaxing and rehydration by standard methods, the sections were incubated with primary antibodies targeting human AEG-1 (ab45338, Abcam), HIF-1α (ab16066, Abcam), and VEGF (ab155944, Abcam) overnight at 4°C, respectively, followed by incubation with biotin-conjugated secondary antibodies (Santa Cruz, USA). Negative control slides were incubated with rabbit serum in lieu of primary antibodies.


### 2.2.1. Cell Culture

Human EOC SKOV3 cells were purchased from the Cell Institute of Chinese Academy of Sciences, Shanghai, and grown in McCoy’s 5A medium containing 10% fetal bovine serum at 37°C in a normal 5% CO2 cell culture incubator. To induce hypoxia, cell culture was performed in an anaerobic chamber containing 1% O2, 5% CO2, and 94% N2, at 37°C for 0, 2, 4, 8, 10, 12, and 24 h, respectively.


### 2.2.2. Lentiviral Infection

AEG-1 knockdown lentivirus was manufactured by Shanghai GenePharma Co.,Ltd. SKOV3 cells were plated into 3.5 cm dishes (1 × 106 cells/dish) for 24 h prior to lentiviral infection at a multiplicity of infection (MOI) of 4. Infection efficiency, assessed by fluorescence microscopy detecting GFP at 48 h after infection, was >90%.


### 2.2.3. Quantified Real-Time PCR Assay

Cellular RNA extraction was carried out with TRIzol reagent (Takara, Otsu, Shi, Japan). Then, real-time PCR was performed on a DNA Engine Opticon™ sequence detector. Primers for AEG-1, HIF-1α, and VEGF were designed with Primer Bank. Mean Ct (triplicate experiments) was employed for data analysis, with the endogenous control U6 snRNA used for normalization.


### 2.2.4. Immunoblot

Total protein was obtained from SKOV3 cells using RIPA buffer supplemented with proteinase/phosphatase inhibitors (Thermo, Cambridge, MA). Equal amounts of total protein were resolved by 10 or 12% SDS-PAGE, followed by transfer onto nitrocellulose membranes (Millipore, Bedford, MA). Anti-AEG-1 (1 : 500), NF-κB (1 : 1000), HIF-1α (1 : 500), and VEGF (1 : 1000) (Abcam) primary antibodies were used for detection.


### 2.2.5. Transwell Invasion Assay

Cells cultured in media with or without 100 nM rapamycin were harvested after 8 h of exposure to hypoxia. Those cultured under normoxic conditions in parallel were used as the control group.


## 2.2.1. Cell Culture

Human EOC SKOV3 cells were purchased from the Cell Institute of Chinese Academy of Sciences, Shanghai, and grown in McCoy’s 5A medium containing 10% fetal bovine serum at 37°C in a normal 5% CO2 cell culture incubator. To induce hypoxia, cell culture was performed in an anaerobic chamber containing 1% O2, 5% CO2, and 94% N2, at 37°C for 0, 2, 4, 8, 10, 12, and 24 h, respectively.


## 2.2.2. Lentiviral Infection

AEG-1 knockdown lentivirus was manufactured by Shanghai GenePharma Co.,Ltd. SKOV3 cells were plated into 3.5 cm dishes (1 × 106 cells/dish) for 24 h prior to lentiviral infection at a multiplicity of infection (MOI) of 4. Infection efficiency, assessed by fluorescence microscopy detecting GFP at 48 h after infection, was >90%.


## 2.2.3. Quantified Real-Time PCR Assay

Cellular RNA extraction was carried out with TRIzol reagent (Takara, Otsu, Shi, Japan). Then, real-time PCR was performed on a DNA Engine Opticon™ sequence detector. Primers for AEG-1, HIF-1α, and VEGF were designed with Primer Bank. Mean Ct (triplicate experiments) was employed for data analysis, with the endogenous control U6 snRNA used for normalization.


## 2.2.4. Immunoblot

Total protein was obtained from SKOV3 cells using RIPA buffer supplemented with proteinase/phosphatase inhibitors (Thermo, Cambridge, MA). Equal amounts of total protein were resolved by 10 or 12% SDS-PAGE, followed by transfer onto nitrocellulose membranes (Millipore, Bedford, MA). Anti-AEG-1 (1 : 500), NF-κB (1 : 1000), HIF-1α (1 : 500), and VEGF (1 : 1000) (Abcam) primary antibodies were used for detection.


## 2.2.5. Transwell Invasion Assay

Cells cultured in media with or without 100 nM rapamycin were harvested after 8 h of exposure to hypoxia. Those cultured under normoxic conditions in parallel were used as the control group.


## 2.3. Statistics

Data aremean±SEM. Groups were compared by one-way analysis of variance (ANOVA) with SPSS 13.0 (SPSS, USA), followed by Bonferroni post hoc tests. Unpaired Student’st-test was used to assess group pairs. A statistical significance level of 0.05 was used.


## 3. Results

### 3.1. AEG-1, HIF-1α, and VEGF Levels in Ovarian Carcinoma and Noncancerous Specimens

By immunohistochemical staining, we first observed that AEG-1 was primarily localized in the cytosol of ovarian cancer cells. Meanwhile, HIF-1α was expressed in both cytoplasmic and nuclear compartments. VEGF was mainly expressed in the cytoplasmic compartment or cell membrane (Figure 1).Figure 1
AEG-1, VEGF, and HIF-1α expression levels in ovarian carcinoma. (a) High AEG-1 expression; (b) high VEGF expression; (c) high HIF-1α expression; (d) H&E staining of (a)–(d) (×100).
(a) (b) (c) (d)Assessing the expression levels of these three proteins in tumor samples and normal specimens, we found that 62.9%, 60%, and 54.7% ovarian cancer tissue specimens were positive for AEG-1, HIF-1α, and VEGF, respectively, for only 5%, 5%, and 10% obtained in normal ovarian tissue samples, respectively (all p<0.001) (Table 1).Table 1
AEG-1, VEGF, and HIF-1α levels in ovarian cancer and normal tissue specimens.
Group Cases(N) AEG-1 high expressionn(%) p VEGF highexpressionn(%) p HIF-1α high expressionn(%) p EOC tissues 170 107 (62.9) <0.001 93 (54.7) <0.001 102 (60.0) <0.001 Normal ovary 40 2 (5) 4 (10) 2 (5)


### 3.2. Associations of HIF-1α and AEG-1 Levels with Clinicopathologic Features of EOC Patients

AEG-1 expression in ovarian cancer specimens was significantly associated with histological type, metastasis, FIGO stage, and residual tumor but not correlated with age (Table2). Similarly, HIF-1α levels were associated with histological type, metastasis, clinical stage, FIGO stage, and residual tumor (Table 2). Specifically, the expression levels of AEG-1 and HIF-1α were higher in stages III/IV than in stages I/II (Table 2), and the differences reached statistical significance (Table 2).Table 2
Associations of HIF-1α and AEG-1 levels with clinicopathologic features of EOC patients.
Variable Cases (N) AEG-1 high levels HIF-1α high levels n(%) p n(%) p Age   0.271  0.697 ≤55 63 43 (68.3)  39 (61.9) >55 107 64 (59.8)  63 (58.9) Metastasis   0.005  0.001 Negative 28 11 (39.3)  9 (32.1) Positive 142 96 (67.6)  93 (65.5) Histological type   0.002  0.006 Serous 111 79 (71.2)  75 (67.6) Others 59 28 (47.5)  27 (45.8) Grade   0.644  0.035 G1-2 101 65 (64.4)  54 (53.5) G3 69 42 (60.9)  48 (69.6) FIGO stage   0.000  0.001 I-II 45 19 (42.2)  18 (40.0) III-IV 125 88 (70.4)  84 (67.2) Residual tumor (cm)   0.000  0.000 ≤1 81 37 (45.7)  34 (42.0) >1 89 70 (78.7)  68 (76.4) Ascites (ml)   0.008  0.019 ≤500 62 31 (50.0)  30 (48.4) >500 108 76 (70.4)  72 (66.7) Menopausal status   0.251  0.094 No 55 38 (69.1)  38 (69.1) Yes 115 69 (60.0)  64 (55.7) Preoperative CA125 level (U/ml)   0.913  0.820 ≤35 14 9 (64.3)  8 (57.1) >35 156 98 (62.8)  94 (60.3) Chemo.   0.261  0.648 No 61 35 (57.4)  38 (62.3) Yes 109 72 (66.1)  64 (58.7)


### 3.3. HIF-1α, VEGF, and AEG-1 Expression Levels Are Positively Correlated in Ovarian Carcinoma

Poor prognosis in ovarian cancer results from concerted effects of multiple genes. In this study, AEG-1 levels were obviously associated with HIF-1α and VEGF amounts (Table 3, all p<0.001). Meanwhile, HIF-1α amounts were positively associated with VEGF and AEG-1 levels (Table 3, all p<0.001).Table 3
Associations of HIF-1α, VEGF, and AEG-1 levels in EOC.
Expression AEG-1 versus VEGF AEG-1 versus HIF-1α VEGF versus HIF-1α p <0.001 <0.001 0.01


### 3.4. Hypoxia Increases Invasion in Ovarian Carcinoma Cells

Transwell assays were employed to estimate the invasive ability of the EOC SKOV3 cell line. The results showed that the invasive ability of SKOV3 cells was significantly enhanced in hypoxia compared with normoxia (Figures2 and 3). These findings suggested that hypoxia increased the invasive ability of EOC cells.Figure 2
Wild type and AEG-1 knockdown SKOV3 cells grown under hypoxic and normoxic conditions. (a) SKOV3 cells in normoxia; (b) SKOV3 cells in hypoxia; (c) len-AEG-1 SKOV3 cells in normoxia; (d) len-AEG-1 SKOV3 cells in hypoxia. Data are mean±SD from three independent experiments.
(a) (b) (c) (d)Figure 3
Hypoxia increases the invasive ability of the EOC cell line, which is reduced by AEG-1 silencing.Interestingly, the invasive ability of AEG-1 knockdown SKOV3 cells was overtly reduced compared with that of wildtype SKOV3 cells, in both normoxic and hypoxic culture conditions (Figures2 and 3). This indicated that AEG-1 might be a key effector of hypoxia induced ovarian cancer growth.


### 3.5. Hypoxia Upregulates AEG-1, HIF-1α, NF-κB, and VEGF

As shown above, high AEG-1 expression was associated with metastasis in ovarian cancer (Table2), and hypoxia could promote the invasive ability of cultured ovarian carcinoma cells (Figure 3). Furthermore, AEG-1 was involved in hypoxia induced ovarian cancer cell growth (Figure 3). Therefore, we hypothesized that hypoxia might affect AEG-1 expression.SKOV3 cells were cultured under hypoxic conditions for different times (0, 2, 4, 6, 8, 10, 12, and 24 h), for total protein and RNA extraction. As expected, hypoxia treated SKOV3 cells showed markedly increased AEG-1 protein and mRNA levels, which peaked at 8 h of culture under hypoxic conditions (Figure4, p<0.01). These findings suggested that hypoxia upregulated AEG-1.Figure 4
AEG-1, VEGF, NF-κB, and HIF-1α expression levels in ovarian carcinoma SKOV3 cells cultured under hypoxic conditions at different time points (0, 2, 4, 8, 10, 12, and 24 h). (a) After culture under hypoxic conditions for 8 h, AEG-1, HIF-1α, NF-κB, and VEGF protein amounts peaked (p<0.001) as determined by Western blotting. (b) After culture under hypoxic conditions for 8 h, AEG-1, HIF-1α, and VEGF mRNA amounts peaked (p<0.001) as determined by real-time PCR. Data are mean±SD from three independent experiments.
(a) (b)HIF-1α and VEGF levels were positively correlated with ovarian cancer metastasis, as shown above (Tables 1 and 2). Therefore, we detected level changes of HIF-1α, NF-κB, and VEGF in SKOV3 cells cultured under hypoxic conditions, and similar results were found. Indeed, HIF-1α, NF-κB, and VEGF amounts changed gradually with prolonged hypoxia (Figure 4, p<0.01). Overall, our results showed that AEG-1, HIF-1α, NF-κB, and VEGF transcription levels were altered by hypoxia.


### 3.6. Hypoxia Associated Upregulation of HIF-1α, VEGF, and NF-κB Is Dependent on AEG-1

We found that hypoxia associated upregulation of NF-κB, HIF-1α, and VEGF in SKOV3 cells was modulated by AEG-1. Indeed, NF-κB, HIF-1α, and VEGF protein amounts were significantly decreased by AEG-1 silencing (Figure 5, p<0.01). In addition, AEG-1 could regulate hypoxia induced transcription of HIF-1α, NF-κB, and VEGF in ovarian cancer cells (Figure 5).Figure 5
AEG-1, HIF-1α, NF-κB, and VEGF expression levels in wild type and AEG-1 knockdown SKOV3 cells cultured under hypoxic conditions. (a) After AEG-1 knockdown by lentiviral infection, AEG-1, HIF-1α, NF-κB, and VEGF protein amounts were significantly reduced (all p<0.001) as assessed by Western blotting. (b) After AEG-1 knockdown, AEG-1, HIF-1α, and VEGF gene expression levels were significantly reduced (all p<0.001) as determined by real-time PCR. Data are mean±SD from three independent experiments.
(a) (b)


## 3.1. AEG-1, HIF-1α, and VEGF Levels in Ovarian Carcinoma and Noncancerous Specimens

By immunohistochemical staining, we first observed that AEG-1 was primarily localized in the cytosol of ovarian cancer cells. Meanwhile, HIF-1α was expressed in both cytoplasmic and nuclear compartments. VEGF was mainly expressed in the cytoplasmic compartment or cell membrane (Figure 1).Figure 1
AEG-1, VEGF, and HIF-1α expression levels in ovarian carcinoma. (a) High AEG-1 expression; (b) high VEGF expression; (c) high HIF-1α expression; (d) H&E staining of (a)–(d) (×100).
(a) (b) (c) (d)Assessing the expression levels of these three proteins in tumor samples and normal specimens, we found that 62.9%, 60%, and 54.7% ovarian cancer tissue specimens were positive for AEG-1, HIF-1α, and VEGF, respectively, for only 5%, 5%, and 10% obtained in normal ovarian tissue samples, respectively (all p<0.001) (Table 1).Table 1
AEG-1, VEGF, and HIF-1α levels in ovarian cancer and normal tissue specimens.
Group Cases(N) AEG-1 high expressionn(%) p VEGF highexpressionn(%) p HIF-1α high expressionn(%) p EOC tissues 170 107 (62.9) <0.001 93 (54.7) <0.001 102 (60.0) <0.001 Normal ovary 40 2 (5) 4 (10) 2 (5)


## 3.2. Associations of HIF-1α and AEG-1 Levels with Clinicopathologic Features of EOC Patients

AEG-1 expression in ovarian cancer specimens was significantly associated with histological type, metastasis, FIGO stage, and residual tumor but not correlated with age (Table2). Similarly, HIF-1α levels were associated with histological type, metastasis, clinical stage, FIGO stage, and residual tumor (Table 2). Specifically, the expression levels of AEG-1 and HIF-1α were higher in stages III/IV than in stages I/II (Table 2), and the differences reached statistical significance (Table 2).Table 2
Associations of HIF-1α and AEG-1 levels with clinicopathologic features of EOC patients.
Variable Cases (N) AEG-1 high levels HIF-1α high levels n(%) p n(%) p Age   0.271  0.697 ≤55 63 43 (68.3)  39 (61.9) >55 107 64 (59.8)  63 (58.9) Metastasis   0.005  0.001 Negative 28 11 (39.3)  9 (32.1) Positive 142 96 (67.6)  93 (65.5) Histological type   0.002  0.006 Serous 111 79 (71.2)  75 (67.6) Others 59 28 (47.5)  27 (45.8) Grade   0.644  0.035 G1-2 101 65 (64.4)  54 (53.5) G3 69 42 (60.9)  48 (69.6) FIGO stage   0.000  0.001 I-II 45 19 (42.2)  18 (40.0) III-IV 125 88 (70.4)  84 (67.2) Residual tumor (cm)   0.000  0.000 ≤1 81 37 (45.7)  34 (42.0) >1 89 70 (78.7)  68 (76.4) Ascites (ml)   0.008  0.019 ≤500 62 31 (50.0)  30 (48.4) >500 108 76 (70.4)  72 (66.7) Menopausal status   0.251  0.094 No 55 38 (69.1)  38 (69.1) Yes 115 69 (60.0)  64 (55.7) Preoperative CA125 level (U/ml)   0.913  0.820 ≤35 14 9 (64.3)  8 (57.1) >35 156 98 (62.8)  94 (60.3) Chemo.   0.261  0.648 No 61 35 (57.4)  38 (62.3) Yes 109 72 (66.1)  64 (58.7)


## 3.3. HIF-1α, VEGF, and AEG-1 Expression Levels Are Positively Correlated in Ovarian Carcinoma

Poor prognosis in ovarian cancer results from concerted effects of multiple genes. In this study, AEG-1 levels were obviously associated with HIF-1α and VEGF amounts (Table 3, all p<0.001). Meanwhile, HIF-1α amounts were positively associated with VEGF and AEG-1 levels (Table 3, all p<0.001).Table 3
Associations of HIF-1α, VEGF, and AEG-1 levels in EOC.
Expression AEG-1 versus VEGF AEG-1 versus HIF-1α VEGF versus HIF-1α p <0.001 <0.001 0.01


## 3.4. Hypoxia Increases Invasion in Ovarian Carcinoma Cells

Transwell assays were employed to estimate the invasive ability of the EOC SKOV3 cell line. The results showed that the invasive ability of SKOV3 cells was significantly enhanced in hypoxia compared with normoxia (Figures2 and 3). These findings suggested that hypoxia increased the invasive ability of EOC cells.Figure 2
Wild type and AEG-1 knockdown SKOV3 cells grown under hypoxic and normoxic conditions. (a) SKOV3 cells in normoxia; (b) SKOV3 cells in hypoxia; (c) len-AEG-1 SKOV3 cells in normoxia; (d) len-AEG-1 SKOV3 cells in hypoxia. Data are mean±SD from three independent experiments.
(a) (b) (c) (d)Figure 3
Hypoxia increases the invasive ability of the EOC cell line, which is reduced by AEG-1 silencing.Interestingly, the invasive ability of AEG-1 knockdown SKOV3 cells was overtly reduced compared with that of wildtype SKOV3 cells, in both normoxic and hypoxic culture conditions (Figures2 and 3). This indicated that AEG-1 might be a key effector of hypoxia induced ovarian cancer growth.


## 3.5. Hypoxia Upregulates AEG-1, HIF-1α, NF-κB, and VEGF

As shown above, high AEG-1 expression was associated with metastasis in ovarian cancer (Table2), and hypoxia could promote the invasive ability of cultured ovarian carcinoma cells (Figure 3). Furthermore, AEG-1 was involved in hypoxia induced ovarian cancer cell growth (Figure 3). Therefore, we hypothesized that hypoxia might affect AEG-1 expression.SKOV3 cells were cultured under hypoxic conditions for different times (0, 2, 4, 6, 8, 10, 12, and 24 h), for total protein and RNA extraction. As expected, hypoxia treated SKOV3 cells showed markedly increased AEG-1 protein and mRNA levels, which peaked at 8 h of culture under hypoxic conditions (Figure4, p<0.01). These findings suggested that hypoxia upregulated AEG-1.Figure 4
AEG-1, VEGF, NF-κB, and HIF-1α expression levels in ovarian carcinoma SKOV3 cells cultured under hypoxic conditions at different time points (0, 2, 4, 8, 10, 12, and 24 h). (a) After culture under hypoxic conditions for 8 h, AEG-1, HIF-1α, NF-κB, and VEGF protein amounts peaked (p<0.001) as determined by Western blotting. (b) After culture under hypoxic conditions for 8 h, AEG-1, HIF-1α, and VEGF mRNA amounts peaked (p<0.001) as determined by real-time PCR. Data are mean±SD from three independent experiments.
(a) (b)HIF-1α and VEGF levels were positively correlated with ovarian cancer metastasis, as shown above (Tables 1 and 2). Therefore, we detected level changes of HIF-1α, NF-κB, and VEGF in SKOV3 cells cultured under hypoxic conditions, and similar results were found. Indeed, HIF-1α, NF-κB, and VEGF amounts changed gradually with prolonged hypoxia (Figure 4, p<0.01). Overall, our results showed that AEG-1, HIF-1α, NF-κB, and VEGF transcription levels were altered by hypoxia.


## 3.6. Hypoxia Associated Upregulation of HIF-1α, VEGF, and NF-κB Is Dependent on AEG-1

We found that hypoxia associated upregulation of NF-κB, HIF-1α, and VEGF in SKOV3 cells was modulated by AEG-1. Indeed, NF-κB, HIF-1α, and VEGF protein amounts were significantly decreased by AEG-1 silencing (Figure 5, p<0.01). In addition, AEG-1 could regulate hypoxia induced transcription of HIF-1α, NF-κB, and VEGF in ovarian cancer cells (Figure 5).Figure 5
AEG-1, HIF-1α, NF-κB, and VEGF expression levels in wild type and AEG-1 knockdown SKOV3 cells cultured under hypoxic conditions. (a) After AEG-1 knockdown by lentiviral infection, AEG-1, HIF-1α, NF-κB, and VEGF protein amounts were significantly reduced (all p<0.001) as assessed by Western blotting. (b) After AEG-1 knockdown, AEG-1, HIF-1α, and VEGF gene expression levels were significantly reduced (all p<0.001) as determined by real-time PCR. Data are mean±SD from three independent experiments.
(a) (b)


## 4. Discussion

EOC is the predominant type of ovarian carcinoma and the deadliest malignancy in females, with a very high prevalence in China. The currently available diagnostic markers are not effective enough. Therefore, more adequate markers should be identified to predict metastasis and/or recurrence in EOC patients.AEG-1 was firstly described as a gene induced in primary human fetal astrocytes. Then, studies revealed its important roles in many aspects of cancer. Clinical and functional analyses have showed that AEG-1 could be considered a potentially crucial target in the treatment of malignant neoplasms. In this study, AEG-1 was upregulated in human EOC and significantly associated with multiple clinicopathological characteristics (Table2) [5]. These findings suggested that AEG-1 plays important roles in tumor progression and metastasis.HIF-1α has critical functions in hypoxic response of human cells, modulating hypoxia-inducible genes [4]. It is known that HIF-1α increases blood, oxygen, and energy supply to tumors, attenuating hypoxia, [6] and has crucial functions in cancer cell metabolism, angiogenesis, and metastasis. Meanwhile, HIF-1α is regulated by many factors [7].As shown above, 62.9%, 60.0%, and 54.7% of EOC patients had elevated AEG-1, HIF-1α, and VEGF amounts, respectively, rates which were markedly higher than control values (Table 1). These results corroborated previous findings that AEG-1 is involved in tumor progression [1, 8–20]. According to our statistical analysis, high AEG-1 and HIF-1α expression levels were commonly associated with elevated metastasis (p<0.01) as well as lower FIGO stage (p<0.001) and degree of differentiation (p<0.001), in patients with advanced ovarian carcinoma and lymph node metastasis (Table 2), as reported in previous studies [21, 22]. This suggests that AEG-1 and HIF-1α are potential early diagnostic markers for ovarian carcinoma.Furthermore, we demonstrated that AEG-1 levels were obviously associated with HIF-1α and VEGF amounts (Table 3, p<0.001). To assess intercorrelations among these factors, AEG-1, HIF-1α, NF-κB, and VEGF mRNA and protein amounts were quantitated by quantitative real-time PCR and Western blotting, respectively, at different times in EOC cells exposed to hypoxia. Interestingly, SKOV3 cells showed significantly increased levels of the above factors after exposure to hypoxia (Figure 4), with peaks observed at 8 h (p<0.001). In addition, the expression levels of NF-κB and VEGF were evaluated in AEG-1 knockdown ovarian cancer cells by RT-PCR and Western blotting, respectively. After AEG-1 knockdown, HIF-1α, NF-κB, and VEGF mRNA and protein amounts were significantly decreased in EOC SKOV3 cells cultured under hypoxic conditions (Figure 5).As demonstrated above, HIF-1α, NF-κB, and VEGF were downregulated after AEG-1 silencing. These findings suggest that AEG-1 induces HIF-1α/NF-κB/VEGF signaling in hypoxic SKOV3 cells. In agreement, the significance of an AEG-1- dependent pathway was revealed in tumor-associated angiogenesis and cancer progression, with VEGF downstream of AEG-1 [15]. Considering the crosstalk between AEG-1 and HIF-1α/NF-κB/VEGF signaling, AEG-1 might be involved in hypoxia regulation. Consistently, tight associations of AEG-1, VEGF, and HIF-1α levels in EOC were found in this work. However, whether combining such prognostic biomarkers would improve prognosis in EOC requires further assessment.


## 5. Conclusions

Overall, the above findings indicated HIF-1α and AEG-1 are critical angiogenic markers and constitute potential prognostic factors in EOC exposed to a hypoxic environment. Combined expression analysis of AEG-1, HIF-lα, and VEGF may help determine the degree of malignancy, metastasis, and prognosis in EOC. Further studies and evidence are required to evaluate whether the HIF-1α and AEG-1 proteins might help predict unfavorable biological behaviors and/or constitute targets to determine the patients benefiting from antiangiogenic agents. Additional prospective studies are warranted to confirm the current findings.



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*Source: 3145689-2018-03-25.xml*