Objective: Inhibitor of growth 4 (ING4) is a candidate tumor suppressor that plays an important role in tumor growth and angiogenesis. Here, we examined the expression of ING4 in hepatocellular carcinoma (HCC) tissues and analyzed its correlation with the progression of HCC.

Methods: Specimens from 136 HCC patients were determined immunohistochemically for ING4 expression. The correlation of ING4 levels with clinicopathologic variables, prognosis, and metastatic potential was analyzed. Among the 136 cases, 36 paired HCC and paracarcinomatous liver tissue specimens were analyzed for ING4 expression levels by real-time quantitative reverse transcription-PCR and Western blotting. MVD was determined by CD34 immunostaining to test whether it correlated with ING4 protein expression level.

Results: The ING4 mRNA and protein levels were significantly lower in HCC than paracarcinomatous liver tissue from both real-time quantitative reverse transcription-PCR and Western blotting (P = 0.039 and 0.012, respectively). Importantly, the ING4 protein level correlated with the Edmondson-Steiner grade (P = 0.035), vein invasion (P = 0.015), and microvessel density (P = 0.005). Survival and metastasis analysis indicated that HCC patients with lower ING4 expression had poorer overall survival and disease-free survival than those with high expression (P = 0.0001 and 0.0065; respectively). Multivariable Cox regression analysis revealed that the ING4 expression level was an independent factor for prognosis (hazard risk, 9.63; P = 0.001).

Conclusions: ING4 expression is down-regulated in HCC tissues. ING4 expression level correlates with prognosis and metastatic potential, which suggests that ING4 is a candidate prognostic marker of HCC. (Cancer Epidemiol Biomarkers Prev 2009;18(2):409–16)

Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide, with a constantly increasing frequency, especially in China (1, 2). It ranks as the second leading cause of cancer death among males in China (3). With the improvement of the liver surgery, hepatic resection for HCC has evolved into a safe procedure with low operative mortality (4). However, long-term survival is still unsatisfactory mainly because of the recurrence and metastasis of HCC (5-7). Thus, the ability to predict individual risk of recurrence and subsequent prognosis would be critical to guide surgical and chemotherapeutic treatment.

The recurrence and metastasis of HCC is a multistep process that involves many complex biological and pathologic events (8). Angiogenesis is one of the most important steps in HCC invasion and metastasis (9-11). Inhibitor of growth 4 (ING4), a member of the ING family, is a candidate tumor suppressor that plays an important role in tumor growth (12), cell cycle regulation (13), apoptosis (14), and contact inhibition (15, 16), especially in angiogenesis (12, 17). ING4 can regulate brain tumor angiogenesis through transcriptional repression of nuclear factor-κB (NF-κB)-responsive genes by physically interacting with the p65 (RelA) subunit of nuclear factor NF-κB (12, 17). Our previous study has revealed that hypoxia-inducible factor (HIF) played an important role in neovascularization of HCC and its expression correlated with invasion and metastasis of HCC (18). Interestingly, the recent study suggested a critical role of ING4 in regulating HIF stability and activity by directly associating with the HIF prolyl hydroxylase, a Fe(II)-dependent oxygenase that regulates HIF stability as a function of oxygen availability (19, 20).

Although studies with experimental models have suggested important role of ING4 in tumor angiogenesis, clinical evidence of ING4 acting as a tumor suppressor in human HCC and its relevance to human HCC remains lacking. In this study, we first explored the expression level of ING4 in HCC tissues and then explored the relationship of ING4 expression with the clinicopathologic features, microvessel density (MVD), and prognosis of HCC.

Patients and Specimens

In the present study, specimens of HCC tissues were obtained from 136 HCC patients who underwent hepatectomy at the Department of Surgery, Xiangya Hospital of Central South University from November 1998 to December 2005. The 136 patients included 117 males and 19 females with a median age of 47 years (range, 16-73 years). Among these 136 cases of HCC, matched HCC and paracarcinomatous liver tissue (PCLT) specimens from 36 cases were also collected and immediately frozen in liquid nitrogen, which were subsequently stored at −80°C for real-time quantitative reverse transcription-PCR (RT-PCR) and Western blotting analysis. Five cases of normal liver samples were obtained from patients with liver cavernous hemoangioma as controls. All specimens were embedded with paraffin and stained by H&E. The diagnoses of all these patients were confirmed by histopathology that was blinded for examination. The clinicopathologic variables, such as tumor diameter, number of tumor nodules, histopathologic classification, and vein invasion, were recorded. Prior informed consent was obtained from the patients for collection of liver specimens in accordance with the guidelines of Xiangya Hospital, and the study protocols have been approved by Ethics Committee of the Central South University.

Real-time Quantitative RT-PCR

Total RNA was isolated by using Trizol reagent (Life Technologies). Total RNA was reverse transcribed with the TaKaRa reverse transcription Kit (TaKaRa) starting with 2 μg total RNA from each sample according to the procedures provided by the supplier. mRNA expressions of ING4 and housekeeping gene glyceraldehyde-3-phosphate dehydrogenase (GAPDH) were analyzed by quantitative RT-PCR using a real-time LightCycler rapid thermal cycler (Roche Molecular Biochemicals LightCycler System). Specific ING4 primers [5′-GGGATGTATTTGGAACATTATCTGG-3′ (forward) and 5′-TGCGGGCACTACTCATATACTCA-3′ (reverse)] and internal control GAPDH primers [5′-GCACCGTCAAGGCTGAGAAC-3′ (forward) and 5′-TGGTGAAGACGCCAGTGGAT-3′ (reverse)] were used for mRNA amplifications. To prepare standard curves, ING4 and GAPDH using the above primers were cloned into pMD18-TVector (TaKaRa) and spectrophotometrically quantified. Serial dilutions of cloned ING4 and GAPDH were prepared and used as a standard for PCR amplifications. Reactions were done in a 20 μL volume of the SYBR Premix Taq mix (TaKaRa) with 4 pmol of each primer. Initial denaturation at 95°C for 10 s was followed by 45 cycles of 95°C for 5 s and 60°C for 20 s. To confirm amplification specificity, the PCR products from each primer pair were subjected to a melting curve analysis. The quantification data were analyzed with the LightCycler analysis software as described before (21). The ING4 expression levels in the HCCs and matched PCLTs were determined by standard curve, each of which was normalized for the corresponding GAPDH expression level (HCC: ING4/GAPDH expression ratio in HCC sample; PCLT: ING4/GAPDH expression ratio in matched PCLT).

We also performed a classic quantitative RT-PCR for some of the same samples to confirm our real-time PCR in agarose gel electrophoresis. Reverse transcriptase product (2 μL) was amplified by PCR using the following conditions: 95°C for 5 min and then 32 cycles of 95°C for 40 s, 57°C for 30 s, and 72°C for 30 s and extension 72°C for 5 min. ING4 primers: 5′-CACAAGTCCTGAGTATGGGAT-3′ (forward) and 5′-AGGGGATGTGGAAGAAACTGT-3′ (reverse) and GAPDH primers: 5′-CTGCAGCATCTTCTCCTTCC-3′ (forward) and 5′-CAAAGTTGTCATGGATGACC-3′ (reverse). PCR products (5 μL) were then electrophoresed on 1.5% agarose gel. The sizes of the PCR products were 295 bp for ING4 and 500 bp for GAPDH.

SDS-PAGE and Western Blotting

Tissues from HCC and PCLT were lysed in a lysis buffer: 20 mmol/L Tris-HCl (pH 7.4), 10 mmol/L NaCl, 1 mmol/L EDTA (pH 8.0), 1 mmol/L MgCl2, 1% NP-40, 0.1% SDS, 0.01% phenylmethylsulfonyl fluoride (Sigma), and protease inhibitor (Promega). The concentration of protein was determined by using bicinchoninic acid protein assay kit (Pierce). Total protein (100 μg) was separated by SDS-PAGE and then transferred onto nitrocellulose membrane (Millipore). After blocked with 5% nonfat dry milk in PBS [8 mmol/L Na2HPO4, 2 mmol/L KH2PO4, 150 mmol/L NaCl (pH 7.4)], the membranes were probed with goat anti-human ING4 polyclonal antibody (Abcam) diluted at 1:1,000. After washing, the membranes were incubated with a 1:3,000 dilution of horseradish peroxidase-conjugated mouse anti-goat antibody (KPL). The blots were developed by enhanced SuperSignal West Pico chemiluminescence (Pierce). β-Actin was also determined by using the specific antibody (Sigma) as a loading control. All experiments were carried out in triplicate and the expression levels of ING4 protein were quantified by densitometry (Stratagene).

Immunohistochemistry Analysis

A total of 136 HCC specimens, including the 36 cases of HCC fresh specimens (used for real-time quantitative RT-PCR and Western blotting), were evaluated for immunohistochemistry. Sections (4 μm thick) were incubated overnight at 4°C with a goat anti-human polyclonal antibody (Abcam; 1:200 dilution) against ING4. The second antibody (rabbit anti-goat antibody; MaiXin Bio) was applied for 45 min at 37°C. The streptavidin-biotin peroxidase complex tertiary system (Boster) was used according to the manufacturer's instructions. The tissues were visualized by applying 3,3′-diaminobenzidine tetrahydrochloride for 3 min. Sections were counterstained using hematoxylin, dehydrated through gradient alcohols, and mounted for viewing. Negative controls were carried out by omitting the primary antibody, whereas ING4 overexpression confirmed by Western blotting was used as positive controls. The intensity of cytoplasmic staining was scored as 0 to 3+ by comparison with the positive controls. The scoring system has been validated previously (22). Diffuse, moderate to strong cytoplasmic staining characterized ING4 high expression group (scores 2+ and 3+). ING4 low expression group was devoid of any cytoplasmic staining or contained faint, equivocal staining (scores 0 and 1+).

Microvessel Density

Blood vessels were highlighted by staining endothelial cells with anti-CD34 antibody (Santa Cruz Biotechnology) as described previously (20). Any red-staining endothelial cell cluster that was clearly separated from adjacent microvessels, tumor cells, and other connective tissue elements was considered a single, countable microvessel. Vessel lumens were not necessary for a structure to be defined as a microvessel. We selected three vascular hotspots both intratumorally and peritumorally for counting CD34+ microvessels.

Follow-up and Prognostic Factors

Follow-up data were obtained after hepatic resection for all 136 patients. The follow-up period was defined as the interval between the date of the operation and that of patient's death or the last follow-up. Deaths from other causes were treated as censored cases; the follow-up time ranged from 30 to 2,800 days, with a median follow-up time of 630 days. Recurrence and metastasis were diagnosed by clinical examination, α-fetoprotein (AFP) mensuration, B-ultrasound, and computed tomography. To determine factors influencing survival after operation, 11 conventional variables together with ING4 expression were tested in all 136 patients: age (<60 versus ≥60 years), gender, liver cirrhosis (presence versus absence), Child-Pugh classification (A versus B and C), preoperative AFP level (≤20 versus >20 ng/mL), hepatitis history (hepatitis B or C, yes versus no), Edmondson-Steiner grade (1 and 2 versus 3 and 4), size of the tumor (≤5 versus >5 cm), number of tumor nodes (solitary versus multiple), venous invasion (macroscopic or microscopic; absence versus presence), and ING4 protein expression level (0 and 1+ versus 2+ and 3+).

Statistical Methods

The Fisher's exact test was done to assess differences in immunostaining positive rate between HCC tissues and PCLTs. Quantitative values were presented as mean ± SD or median (range). Independent Student's t test was used to compare ING4 mRNA and protein expression in HCC and PCLT samples. A similar comparison was made for MVD. The correlations between ING4 immunohistochemical staining and clinicopathologic variables of 136 HCCs cases were analyzed by Mann-Whitney U test. Survival curves were constructed using the Kaplan-Meier method and the differences in survival were evaluated using the log-rank test. The Cox proportional hazards model was employed to identify factors that were independently associated with survival. In this model, a stepwise selection was used for variable selection with entry and removal limits of P < 0.05 and P > 0.10, respectively. All statistical evaluations were done using the SPSS statistical software (version 11.5). All tests were two tailed and P < 0.05 was considered statistically significant.

ING4 mRNA and Protein Levels Were Significantly Decreased in HCC Tissues

Real-time quantitative RT-PCR analysis of 36 paired HCC and PCLT specimens using the ING4-specific primers indicated that the ING4 mRNA levels in HCC tissues were significantly lower than that in PCLTs (0.44 ± 0.12 versus 0.86 ± 0.21; P = 0.039; Fig. 1). A classic quantitative RT-PCR analysis in parallel confirmed the real-time PCR results (Fig. 1E). To determine whether the difference in the mRNA levels can be reflected at the protein level, we analyzed the same 36 paired specimens by Western blot. Consistent with the mRNA expression, the ING4 protein levels in HCC tissues were significantly lower than those in the corresponding PCLTs (1.09 ± 0.32 versus 1.97 ± 0.45; P = 0.012; Fig. 1E and F). Furthermore, the percentage of positive ING4 expression in HCC tissues was also significantly lower than that in PCLTs [52.8% (19 of 36) versus 91.7% (33 of 36); P < 0.001]. However, both mRNA and protein levels have no difference between PCLTs and normal liver tissues (data not shown; Fig. 1E and F).

Figure 1.

Levels of ING4 mRNA and protein expression are lower in HCCs than in PCLTs. Amplification plots of ING4 mRNA (A) and housekeeping GAPDH mRNA (C). Serial dilutions of ING4 and GAPDH cDNA plasmids were amplified using real-time PCR. For each dilution, the fluorescence is plotted against the cycle number. Relative input (log concentration) and cycle numbers of each dilution are given. Serial dilutions of ING4 and GAPDH cDNA plasmids were amplified and relative copies of ING4 mRNA (B) and GAPDH (D) were plotted against cycle number. E, ING4 mRNA and protein expression analysis in some of the matched HCC and PCLT and normal liver tissues (NL) by classic quantitative RT-PCR and Western blotting. Levels of GAPDH and β-actin as a loading control for RT-PCR and Western blotting. F, abundance of ING4 mRNA and protein relative to the levels of loading control. Student's t test shows that ING4 mRNA and protein expressions in HCCs are significantly lower than in PCLTs, but mRNA and protein levels were comparable between PCLTs and normal liver tissues.

Figure 1.

Levels of ING4 mRNA and protein expression are lower in HCCs than in PCLTs. Amplification plots of ING4 mRNA (A) and housekeeping GAPDH mRNA (C). Serial dilutions of ING4 and GAPDH cDNA plasmids were amplified using real-time PCR. For each dilution, the fluorescence is plotted against the cycle number. Relative input (log concentration) and cycle numbers of each dilution are given. Serial dilutions of ING4 and GAPDH cDNA plasmids were amplified and relative copies of ING4 mRNA (B) and GAPDH (D) were plotted against cycle number. E, ING4 mRNA and protein expression analysis in some of the matched HCC and PCLT and normal liver tissues (NL) by classic quantitative RT-PCR and Western blotting. Levels of GAPDH and β-actin as a loading control for RT-PCR and Western blotting. F, abundance of ING4 mRNA and protein relative to the levels of loading control. Student's t test shows that ING4 mRNA and protein expressions in HCCs are significantly lower than in PCLTs, but mRNA and protein levels were comparable between PCLTs and normal liver tissues.

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Correlation between ING4 Expression and Clinicopathologic Variables of HCC

The immunohistochemistry data from 136 HCC specimens were analyzed for the correlation of ING4 levels with clinicopathologic features. Among 136 HCC samples, there were 13 (9.6%) cases scored 3+, 16 (11.8%) cases scores 2+, 36 (26.5%) cases scores 1+, and 71 (52.2%) cases scores 0. The representative positive immunostaining of HCC specimens was shown in Fig. 2. We used the Mann-Whitney U test to assess the correlations between the staining intensity of ING4 protein and clinicopathologic variables of HCC. Interestingly, the ING4 protein staining intensity in HCC with Edmondson-Steiner grades 3 and 4 were significantly lower than those with Edmondson-Steiner grades 1 and 2 (P = 0.013). Furthermore, a difference in expression of the ING4 protein between the HCCs with vein invasion and those without vein invasion was also evident (P = 0.016). However, the ING4 protein staining intensity showed no significant relationship with gender, age, preoperative AFP, hepatitis history, Child-Pugh score, liver cirrhosis, tumor size, and tumor nodule number (P > 0.05; Table 1).

Figure 2.

Immunohistochemical detection of the ING4 protein expression and MVD in HCC. Expression of ING4 in HCC tissues (A-C) was determined by immunohistochemistry as described in Materials and Methods. In this representative image, cytoplasmic ING4 expression is seen in 11% to 25% of cancer cells (scored as 1+; A), 26% to 50% of cancer cells (scored as 2+; B), and >51% of cancer cells (scored as 3+; C). The negative control (D) is included to show the specific of the antibody. E, MVD in HCC tissue was determined by CD34 immunohistochemical staining as described in Materials and Methods. Arrows, positive stain of MVD. F, abundance of MVD in two HCC groups. Student's t test shows that ING4 protein high expression group had the lower MVD than low expression group. Original magnification, ×400 (A-C and E) and ×100 (D).

Figure 2.

Immunohistochemical detection of the ING4 protein expression and MVD in HCC. Expression of ING4 in HCC tissues (A-C) was determined by immunohistochemistry as described in Materials and Methods. In this representative image, cytoplasmic ING4 expression is seen in 11% to 25% of cancer cells (scored as 1+; A), 26% to 50% of cancer cells (scored as 2+; B), and >51% of cancer cells (scored as 3+; C). The negative control (D) is included to show the specific of the antibody. E, MVD in HCC tissue was determined by CD34 immunohistochemical staining as described in Materials and Methods. Arrows, positive stain of MVD. F, abundance of MVD in two HCC groups. Student's t test shows that ING4 protein high expression group had the lower MVD than low expression group. Original magnification, ×400 (A-C and E) and ×100 (D).

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Table 1.

Correlations between ING4 expression and clinicopathologic variables of 136 cases of HCCs

Clinicopathologic variablesnING4 expression
P
01+2+3+
Gender       
    Male 117 59 30 15 13 0.136 
    Female 19 12  
Age (y)       
    ≥60 115 61 31 12 11 0.549 
    <60 21 10  
Preoperative AFP (ng/mL)       
    ≤20 60 33 12 10 0.837 
    >20 76 38 24  
Hepatitis history       
    Yes 114 57 31 14 12 0.209 
    No 22 14  
Child-Pugh score       
    A 111 58 29 12 12 0.873 
    B or C 25 13  
Live cirrhosis       
    Presence 91 47 22 13 0.617 
    Absence 45 24 14  
Tumor size       
    ≤5 51 29 0.941 
    >5 85 42 28  
Tumor nodule no.       
    Multiple (≥2) 29 14 0.517 
    Solitary 107 57 29 11 10  
Edmondson-Steiner grade       
    1 and 2 51 21 13 0.013 
    3 and 4 85 50 23  
Vein invasion       
    Presence 93 55 22 0.016 
    Absence 43 16 14  
Clinicopathologic variablesnING4 expression
P
01+2+3+
Gender       
    Male 117 59 30 15 13 0.136 
    Female 19 12  
Age (y)       
    ≥60 115 61 31 12 11 0.549 
    <60 21 10  
Preoperative AFP (ng/mL)       
    ≤20 60 33 12 10 0.837 
    >20 76 38 24  
Hepatitis history       
    Yes 114 57 31 14 12 0.209 
    No 22 14  
Child-Pugh score       
    A 111 58 29 12 12 0.873 
    B or C 25 13  
Live cirrhosis       
    Presence 91 47 22 13 0.617 
    Absence 45 24 14  
Tumor size       
    ≤5 51 29 0.941 
    >5 85 42 28  
Tumor nodule no.       
    Multiple (≥2) 29 14 0.517 
    Solitary 107 57 29 11 10  
Edmondson-Steiner grade       
    1 and 2 51 21 13 0.013 
    3 and 4 85 50 23  
Vein invasion       
    Presence 93 55 22 0.016 
    Absence 43 16 14  

NOTE: The expression of ING4 was determined in 136 cases of HCC samples by immunohistochemical examinations as described in Materials and Methods. The correlations between the expression of ING4 and clinicopathologic variables of HCCs were evaluated by the Mann-Whitney U test. Statistically significant values are in bold.

ING4 Expression Level Correlated with the MVD of HCC

To gain a better understanding of the seemly counterintuitive correlation that ING4 contributes to HCC angiogenesis, the MVD of HCC was determined by CD34 immunohistochemical staining to test whether it correlated with the ING4 protein level (Fig. 2E). The results indicated that the ING4 protein high expression group had a lower MVD than that in the low expression group (95.7 ± 28.0 versus 142.4 ± 31.7; P = 0.005; Fig. 2F).

Prognostic Implications of ING4 Expression

Based on the immunohistochemistry data, 136 cases of HCCs were divided into low expression group (score 0 or 1+; n = 107) and high expression group (score 2+ or 3+; n = 29). The Kaplan-Meier method was used to analyze the correlation of ING4 expression level with the prognosis of HCC patients. The results indicated that the ING4 high expression group correlated with a longer survival time (1,860 versus 872 days, median survival time) than the low expression group and the overall survival rate for the patients with low and high ING4 levels was significantly different (P = 0.0001, log-rank test; Fig. 3A). Furthermore, the overall metastasis rate for the patients with low and high ING4 levels was also significantly different (P = 0.0065, log-rank test; Fig. 3B). The ING4 high expression group had a longer tumor-free survival time than the ING4 low expression group (1,221 versus 690 days, median disease-free survival time).

Figure 3.

Estimated overall survival and metastasis potential according to the expression of ING4 in 136 cases of HCCs (Kaplan-Meier method). Based on the results of immunohistochemical staining, the expression of ING4 was classified as low expression (0 or 1+; n = 107) and high expression (2+ or 3+; n = 29). Log-rank test shows that HCC patients with high ING4 expression have longer overall survival time and disease-free survival time than those with the low expression (A and B).

Figure 3.

Estimated overall survival and metastasis potential according to the expression of ING4 in 136 cases of HCCs (Kaplan-Meier method). Based on the results of immunohistochemical staining, the expression of ING4 was classified as low expression (0 or 1+; n = 107) and high expression (2+ or 3+; n = 29). Log-rank test shows that HCC patients with high ING4 expression have longer overall survival time and disease-free survival time than those with the low expression (A and B).

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To test whether the ING4 expression level was an independent prognostic factor for survival of HCC patients, univariable and multivariable Cox regression analyses were used to identify factors that may predict survival after hepatic resection. Univariable Cox regression analysis results indicated that the ING4 expression level [hazard risk (HR), 1.48; P = 0.018], tumor size (HR, 2.95; P = 0.002), tumor nodule number (HR, 2.03; P = 0.032), Edmondson-Steiner grade (HR, 9.69; P < 0.001), and vein invasion (HR, 14.41; P < 0.001) were all significantly associated with survival. However, gender, age, hepatitis B virus infection, serum AFP level, liver cirrhosis, type of hepatectomy, Child-Pugh classification, and margin status were not significantly correlated with survival (Table 2). By using the multivariable Cox regression analysis, the ING4 expression level (HR, 9.63; P = 0.001), Edmondson-Steiner grade (HR, 9.90; P < 0.001), and vein invasion (HR, 5.87; P < 0.001) were found to be independent prognostic factors for survival (Table 2). The other clinicopathologic variables did not add any independent prognostic information.

Table 2.

Multivariate analysis by a Cox proportional hazards regression model

Clinicopathologic variablesnUnivariable analysis
Multivariable analysis
HR (95% confidence interval)PHR (95% confidence interval)P
Tumor size      
    ≤5 51 0.002   
    >5 85 2.95 (1.48-7.85)  — — 
Tumor nodule no.      
    Solitary 107    
    Multiple (≥2) 29 2.03 (1.06-3.87) 0.032 — — 
Edmondson-Steiner grade      
    1 and 2 80   
    3 and 4 56 9.69 (4.59-20.45) 0.000 5.87 (2.53-13.63) 0.000 
Vein invasion      
    Absence 60   
    Presence 76 14.41 (6.32-32.87) 0.000 9.90 (3.46-28.33) 0.000 
ING4 expression      
    High expression 29   
    Low expression 107 1.48 (1.07-2.04) 0.018 9.63 (2.68-34.61) 0.001 
Clinicopathologic variablesnUnivariable analysis
Multivariable analysis
HR (95% confidence interval)PHR (95% confidence interval)P
Tumor size      
    ≤5 51 0.002   
    >5 85 2.95 (1.48-7.85)  — — 
Tumor nodule no.      
    Solitary 107    
    Multiple (≥2) 29 2.03 (1.06-3.87) 0.032 — — 
Edmondson-Steiner grade      
    1 and 2 80   
    3 and 4 56 9.69 (4.59-20.45) 0.000 5.87 (2.53-13.63) 0.000 
Vein invasion      
    Absence 60   
    Presence 76 14.41 (6.32-32.87) 0.000 9.90 (3.46-28.33) 0.000 
ING4 expression      
    High expression 29   
    Low expression 107 1.48 (1.07-2.04) 0.018 9.63 (2.68-34.61) 0.001 

NOTE: Insignificant variables with P > 0.05 were not listed in the table, including gender, age, hepatitis B virus association, serum AFP level, cirrhosis of liver, type of hepatectomy done, Child-Pugh classification, and margin status.

ING4, a member of the ING family encoding potential tumor suppressors, has been implicated in a variety of cellular processes including cell growth and proliferation, cell cycle arrest, apoptosis, and contact inhibition (13, 15, 23). More importantly, recent studies have confirmed that ING4 emerged as a candidate tumor suppressor protein affecting angiogenesis (12, 17). As everyone knows, HCC is a special solid tumor with abundant blood vessel. Angiogenesis has a critical role in the pathophysiology of HCC (11). However, the role of ING4 in human HCC still remains unknown. Thus, we carried out this study to investigate the role of ING4 in HCC.

We firstly measured ING4 mRNA and protein expression levels in 36 paired HCC and PCLT specimens and 5 normal liver tissue specimens. Our results revealed that expression levels of ING4 mRNA and protein were significantly lower in HCC tissues than that in the corresponding PCLTs. Furthermore, the positive rate of ING4 protein expression in HCC tissues was significantly lower than that in PCLTs. These results were consistent with the previous study in gliomas and melanoma, which showed that ING4 mRNA and protein expression levels were dramatically reduced in tumor tissues (12, 21). ING4 is localized at chromosome 12p12-13 region, which has known to be deleted in various cancers (21). Gunduz et al. found that 66% head and neck squamous cell carcinoma patients had loss of heterozygosity at 12p12-13 region and that 76% tumor tissues had decreased ING4 mRNA expression compared with matched normal samples (21). Kim et al. also found that 10% to 20% of human breast cancer cell lines had ING4 locus deletion (15). These study suggested that deletion of ING4 gene may be a common event in tumorigenesis, which can possibly explain the reduced expression level of ING4 in HCC tissues. However, whether ING4 is mutated or deleted in human HCC remains to be determined.

In this study, the ING4 expression data obtained from immunohistochemistry staining were analyzed for the correlation with clinicopathologic features. We found the expression of ING4 significantly correlated with vein invasion and Edmondson-Steiner grade of HCCs. Our clinical data also showed a highly significant association between the ING4 expression level and MVD of HCC. ING4 protein low expression group had higher MVD than that in the high expression group. The decreased expression of ING4 and its correlation with MVD suggested that ING4 might be a potent tumor suppressor in HCC and ING4 could regulate angiogenesis of HCC. Abundant evidence has indicated that the Edmondson-Steiner grade, vein invasion, and angiogenesis are highly correlated with invasion and metastasis as well as the prognosis of HCC (24-26). Consistent with these results, we found a highly significantly association between the ING4 expression level and prognosis/metastasis of HCC. Multivariable Cox regression analyses indicated that the low ING4 expression was an independent risk factor for the prognosis of HCC patients as well as Edmondson-Steiner grade and venous invasion. These results suggested that ING4 might play an important role in HCC carcinogenesis and development. Recent study also showed that reduced ING4 staining is associated with poor overall and disease-specific 5-year survival in primary melanoma (27).

Many tumor-suppressive functions of ING4 contribute to the inverse correlation between ING4 expression and survival of HCC patients. First, ING4 can regulate cell migration and invasion. Shen et al. found that ING4 can regulate cell migration and invasion by interacting with liprin α1, which colocalized at lamellipodia with ING4 (16). Li et al. also found that overexpression of ING4 can lead to suppression of melanoma cell invasion by inhibiting the gelatinolytic activities of both matrix metalloproteinase-2 and -9 (27). ING4 can inhibit melanoma cell migration by down-regulating RhoA activity through NF-κB pathway (27). Second, ING4 can regulate angiogenesis as an angiogenic repressor. ING4 can regulate brain tumor angiogenesis through transcriptional repression of NF-κB-responsive genes by physically interacting with the p65 (RelA) subunit of nuclear factor NF-κB (12). ING4 was recently shown to be a critical regulator of NF-κB-mediated interleukin-8 transcription and subsequent angiogenesis in gliomas (17). HIF played an important role in neovascularization of HCC and its expression correlated with invasion and metastasis of HCC (18). Recent study showed a critical role of ING4 in regulating HIF pathway. ING4 can regulate HIF stability and activity by directly associating with the HIF prolyl hydroxylase, a Fe(II)-dependent oxygenase that regulates HIF stability as a function of oxygen availability (19, 20). ING4, which can be recruited to HIF under hypoxic conditions by HIF prolyl hydroxylases, mediates the ability of HIF to activate transcription of its downstream target genes rather than affecting hydroxylase activity or HIF stability (20). Moreover, ING4 exerts an inhibitory effect on HIF-1α activity and its target gene NIP-3 expression in hypoxic conditions and consequently inhibits angiogenesis (28). Other functions of ING4 on tumor growth (12), cell cycle regulation (13), apoptosis (14), and contact inhibition (15, 16) may also contribute to the survival of HCC patients.

As ING4 has potential effect on tumor inhibition via multiple pathways and plays an important role in HCC carcinogenesis and development, it may serve as a powerful therapeutic target. Xie et al. constructed a recombinant adenoviral vector Ad-ING4 and transfected A549 human lung carcinoma cells to explore its therapeutic effect on human lung carcinoma (29). They found that ING4 can induce cell apoptosis, altered cell cycle with S-phase reduction and G2-M-phase arrest, suppressed cell invasiveness, and down-regulated interleukin-6 and -8 and matrix metalloproteinase-2 and -9 expression of tumor cells. In athymic mice bearing A549 lung tumors, intratumoral injections of Ad-ING4 suppressed the tumor growth and reduced the tumor microvessel formation. However, its therapeutic effect on human HCC remains to be determined.

In summary, we found that ING4 is down-regulated in human HCC tissues and the ING4 expression level is significantly correlated with the prognosis and metastatic potential of HCC, which suggests that ING4 may serve as a powerful prognostic marker and therapeutic target for HCC.

No potential conflicts of interest were disclosed.

Grant support: National Key Technologies R&D Program of China grants 2001BA703B04 and 2004BA703B02, National Science Fund for Distinguished Young Scholars of China grant 30328028, National Science Fund grant 30571826, National Keystone Basic Research Program of China grant 2004CB720303, and National High Technology Research and Development Program of China grant 2006AA02Z4B2.

Note: F. Fang and L-B. Luo contributed equally to this work.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1
Murray CJ, Lopez AD. Mortality by cause for eight regions of the world: global burden of disease study.
Lancet
1997
;
349
:
1269
–76.
2
Giannelli G, Antonaci S. Novel concepts in hepatocellular carcinoma: from molecular research to clinical practice.
J Clin Gastroenterol
2006
;
40
:
842
–6.
3
Poon RT, Fan ST, Wong J. Risk factors, prevention, and management of postoperative recurrence after resection of hepatocellular carcinoma.
Ann Surg
2000
;
232
:
10
–24.
4
Fan ST, Lo CM, Liu CL, et al. Hepatectomy for hepatocellular carcinoma: toward zero hospital deaths.
Ann Surg
1999
;
229
:
322
–30.
5
Adachi E, Maehara S, Tsujita E, et al. Clinicopathologic risk factors for recurrence after a curative hepatic resection for hepatocellular carcinoma.
Surgery
2002
;
131
:
S148
–52.
6
Yang LY, Tao YM, Ou DP, Wang W, Chang ZG, Wu F. Increased expression of Wiskott-Aldrich syndrome protein family verprolin-homologous protein 2 correlated with poor prognosis of hepatocellular carcinoma.
Clin Cancer Res
2006
;
12
:
5673
–9.
7
Ou DP, Tao YM, Tang FQ, Yang LY. The hepatitis B virus X protein promotes hepatocellular carcinoma metastasis by upregulation of matrix metalloproteinases.
Int J Cancer
2007
;
120
:
1208
–14.
8
Okuda K. Hepatocellular carcinoma: clinicopathological aspects.
J Gastroenterol Hepatol
1997
;
12
:
314
–8.
9
Sugimachi K, Tanaka S, Terashi T, Taguchi K, Rikimaru T, Sugimachi K. The mechanisms of angiogenesis in hepatocellular carcinoma: angiogenic switch during tumor progression.
Surgery
2002
;
131
:
S135
–41.
10
Wang W, Yang LY, Huang GW, et al. Genomic analysis reveals RhoC as a potential marker in hepatocellular carcinoma with poor prognosis.
Br J Cancer
2004
;
90
:
2349
–55.
11
Yang LY, Lu WQ, Huang GW, Wang W. Correlation between CD105 expression and postoperative recurrence and metastasis of hepatocellular carcinoma.
BMC Cancer
2006
;
6
:
110
.
12
Garkavtsev I, Kozin SV, Chernova O, et al. The candidate tumor suppressor protein ING4 regulates brain tumor growth and angiogenesis.
Nature
2004
;
428
:
328
–32.
13
Zhang X, Xu LS, Wang ZQ, et al. ING4 induces G2/M cell cycle arrest and enhances the chemosensitivity to DNA-damage agents in HepG2 cells.
FEBS Lett
2004
;
570
:
7
–12.
14
Shiseki M, Nagashima M, Pedeux RM, et al. p29ING4 and p28ING5 bind to p53 and p300, and enhance p53 activity.
Cancer Res
2003
;
63
:
2373
–8.
15
Kim S, Chin K, Gray JW, Bishop JM. A screen for genes that suppress loss of contact inhibition: identification of ING4 as a candidate tumor suppressor gene in human cancer.
Proc Natl Acad Sci U S A
2004
;
101
:
16251
–6.
16
Shen JC, Unoki M, Ythier D, et al. Inhibitor of growth 4 suppresses cell spreading and cell migration by interacting with a novel binding partner, liprin α1.
Cancer Res
2007
;
67
:
2552
–8.
17
Brat DJ, Bellail AC, Van Meir EG. The role of interleukin-8 and its receptors in gliomagenesis and tumoral angiogenesis.
Neuro-oncol
2005
;
7
:
122
–33.
18
Huang G-W, Yang L-Y, Lu W-Q. Expression of hypoxia-inducible factor 1α and vascular endothelial growth factor in hepatocellular carcinoma: impact on neovascularization and survival.
World J Gastroenterol
2005
;
11
:
1705
–8.
19
Ozer A, Wu LC, Bruick RK. The candidate tumor suppressor ING4 represses activation of the hypoxia inducible factor (HIF).
Proc Natl Acad Sci U S A
2005
;
102
:
7481
–6.
20
Ozer A, Bruick RK. Regulation of HIF by prolyl hydroxylases: recruitment of the candidate tumor suppressor protein ING4.
Cell Cycle
2005
;
4
:
1153
–6.
21
Gunduz M, Nagatsuka H, Demircan K, et al. Frequent deletion and down-regulation of ING4, a candidate tumor suppressor gene at 12p13, in head and neck squamous cell carcinomas.
Gene
2005
;
356
:
109
–17.
22
Kleer CG, van Golen KL, Zhang Y, Wu ZF, Rubin MA, Merajver SD. Characterization of RhoC expression in benign and malignant breast disease: a potential new marker for small breast carcinomas with metastatic ability.
Am J Pathol
2002
;
160
:
579
–84.
23
Liu E, Wu J, Cao W, et al. Curcumin induces G2/M cell cycle arrest in a p53-dependent manner and upregulates ING4 expression in human glioma.
J Neurooncol
2007
;
85
:
263
–70.
24
Poon RT, Fan ST, Ng IO, Lo CM, Liu CL, Wong J. Different risk factors and prognosis for early and late intrahepatic recurrence after resection of hepatocellular carcinoma.
Cancer
2000
;
89
:
500
–7.
25
Shimada K, Sano T, Sakamoto Y, Kosuge T. A long term follow-up and management study of hepatocellular carcinoma patients surviving for 10 years or longer after curative hepatectomy.
Cancer
2005
;
104
:
1939
–47.
26
Farinati F, Rinaldi M, Gianni S, Naccarato R. How should patients with hepatocellular carcinoma be staged? Validation of a new prognostic system.
Cancer
2000
;
89
:
2266
–73.
27
Li J, Martinka M, Li G. Role of ING4 in human melanoma cell migration, invasion and patient survival.
Carcinogenesis
2008
;
29
:
1373
–9.
28
Colla S, Tagliaferri S, Morandi F, et al. The new tumor-suppressor gene inhibitor of growth family member 4 (ING4) regulates the production of proangiogenic molecules by myeloma cells and suppresses hypoxia-inducible factor-1α (HIF-1α) activity: involvement in myeloma-induced angiogenesis.
Blood
2007
;
110
:
4464
–75.
29
Xie Y, Zhang H, Sheng W, Xiang J, Ye Z, Yang J. Adenovirus-mediated ING4 expression suppresses lung carcinoma cell growth via induction of cell cycle alteration and apoptosis and inhibition of tumor invasion and angiogenesis.
Cancer Lett
2008
;
271
:
105
–16.