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Introduction

Hepatocellular carcinoma (HCC) is one of the most common types of malignancy and the third leading cause of cancer-associated mortality globally (1). In China, the incidence of HCC is among the highest worldwide, with Chinese patients accounting for 55% of new HCC cases. Chronic infection with hepatitis B virus (HBV) and hepatitis C virus (HCV) is the major etiology of HCC, which often arises from a background of viral hepatitis and cirrhosis (2). Lacking specific symptoms at early stages, the majority of patients with HCC are diagnosed at advanced stages, with a low 5-year survival rate of 10.1% (3) and a high 5-year recurrence rate of 70%, even following liver resection (4). Therefore, early diagnosis, early treatment and early recurrence detection are extremely important in improving the prognosis of HCC.

The most common methods used in the early detection of HCC are analysis of α-fetoprotein (AFP) level and hepatic ultrasonography. As the most widely used serum biomarker, AFP has a high specificity of 80–94%; however, its sensitivity is only 41–65% (5), making it an unsatisfactory biomarker for the early detection of HCC. To improve the efficiency of early diagnosis of HCC, novel candidate serum biomarkers have emerged, including Lens culinaris agglutinin reactive AFP (6), Des-γ-carboxy prothrombin (7), α-l-fucosidase (8), glypican-3 (9), squamous cell carcinoma antigen (10), and Golgi protein 73 (GP73) (11). Of these potential HCC serum markers, GP73 is the most promising.

GP73, a resident type II Golgi membrane protein with a molecular weight of 73 kDa, is predominantly expressed by biliary epithelial cells in the normal liver. Aberrant expression of GP73 in hepatocytes is present in chronic liver disease, including viral and non-viral hepatitis, liver cirrhosis and HCC (12–14). Additionally, gradually increasing GP73 expression levels in tissue have been observed throughout the progression from normal liver and chronic hepatitis to HCC (15). Importantly, the C-terminal ectodomain of GP73 can be released into the circulation (16). Since Block et al (17) first identified elevated serum GP73 (sGP73) levels in patients with HCC in 2005, sGP73 has been considered to be a potential biomarker for HCC.

A number of studies have evaluated the early diagnostic value of sGP73 for HCC. Several studies in which sGP73 was detected using immunoblotting demonstrated that sGP73 levels were significantly increased in HCC compared with cirrhotic controls, with a superior sensitivity and specificity to AFP for HCC diagnosis (11,18). However, as a semiquantitative and laborious test, immunoblotting is unsuitable for routine clinical practice. By contrast, enzyme-linked immunosorbent assay (ELISA) is quantitative and convenient. Although a number of studies have demonstrated higher levels of sGP73 measured by ELISA in HCC than in liver cirrhosis (19–21), no significant difference in sGP73 concentrations between HCC and cirrhosis groups was identified by other studies (22–24), and in a number of studies, the sGP73 level was even lower in HCC than in liver cirrhosis (15,25). Considering the small sample size of these studies, further evaluation of ELISA-measured sGP73 in large-scale studies is required to clarify its diagnostic value in HCC. In addition, although the overexpression of GP73 in HCC tissue has been reported to be associated with aggressive behavior and poor overall survival (OS) time (14), the clinicopathological effects and prognostic role of sGP73 in HCC have not yet been characterized.

In the present study, sGP73 levels in 462 patients with HCC, 186 patients with liver cirrhosis and 83 healthy controls were measured with ELISA, and the prognostic value of sGP73 in HCC patients was assessed. It was identified that the diagnostic value of sGP73 was inferior to AFP for HCC. However, high levels of sGP73 were associated with aggressive clinicopathological characteristics and poor OS and disease-free survival (DFS) times. Cox multivariate analysis demonstrated that sGP73 was an independent prognostic factor for OS and DFS, suggesting that sGP73 has important prognostic value in HCC.

Materials and methods

Subjects

A total of 731 subjects were enrolled at the Third Affiliated Hospital of Sun Yat-sen University (Guangzhou, China) between January 2011 and August 2013, including 462 patients with HCC (420 males and 42 females, aged 11–84 years), 186 patients with liver cirrhosis (156 males and 30 females, aged 17–80 years), and 83 healthy controls (59 males and 24 females, aged 22–73 years). The diagnosis of HCC was made either by histopathology (n=72) or by two imaging modalities (ultrasound, computed tomography or magnetic resonance imaging) showing an arterial enhancing lesion, with HBV and/or HCV infection (n=390). The diagnosis of liver cirrhosis was based on liver histology or clinical, laboratory and imaging evidence of hepatic decompensation or portal hypertension. The clinicopathological characteristics of the HCC patients are summarized in Table I. In the liver cirrhosis group, all patients had hepatitis B cirrhosis. This study was approved by the Ethics Committee of the Third Affiliated Hospital of Sun Yat-sen University. Informed consent was obtained from each subject.

Table I. Associations between sGP73 levels and clinicopathological characteristics of 462 patients with hepatocellular carcinoma.

Table I.

Associations between sGP73 levels and clinicopathological characteristics of 462 patients with hepatocellular carcinoma.

		sGP73 level, n
Characteristics	Total, n	Low	High	P-valuea
Number of patients	462	228	234
Age, years				0.483
<50	196	93	103
≥50	266	135	131
Sex				0.228
Male	420	211	209
Female	42	17	25
ECOG performance status				<0.001
0	119	82	37
1	284	132	152
2	47	12	35
3	8	2	6
4	4	0	4
BCLC stage				<0.001
1	92	65	27
2	33	21	12
3	310	138	172
4	27	4	23
Tumor number				<0.001
1	214	129	85
2	57	35	22
≥3	191	64	127
Tumor size, cm				<0.001
≤5	188	115	73
>5	274	113	161
Satellite lesion				<0.001
No	257	156	101
Yes	205	72	133
Vascular invasion				<0.001
No	203	125	78
Yes	259	103	156
Tumor grade				0.311
1	3	3	0
2	54	34	20
3	9	34	2
Unknown	396
Lymph node metastasis				0.009
No	307	165	142
Yes	155	63	92
Distant metastasis				<0.001
No	394	212	182
Yes	68	16	52
Child-Pugh class				<0.001
A	339	197	142
B	100	29	71
C	23	2	21
Etiology				0.200
HBV	427	213	214
HCV	4	3	1
HBV and HCV	2	2	0
Other	29	11	18
Cirrhosis background				0.99
No	99	48	51
Yes	363	178	185
AFP level, ng/ml				<0.001
<400	262	149	113
≥400	200	79	121
Number of patients	462	228	234

{ label (or @symbol) needed for fn[@id='tfn1-ol-0-0-6938'] } sGP73, serum Golgi protein 73; ECOG, Eastern Cooperative Oncology Group; BCLC, Barcelona-Clinic Liver Cancer; HBV, hepatitis B virus; HCV, hepatitis B virus; AFP, α-fetoprotein.

a χ² test.

Sample collection

A 2-ml blood sample was drawn from each subject, centrifuged at 4,000 × g for 5 min and then aliquoted. The serum samples were stored at −80°C until testing. All the blood samples from the patients with HCC were collected prior to the initiation of HCC treatment.

Detection of GP73 and AFP

sGP73 was detected using ELSIA kit for Golgi protein 73 (cat. no. SEB668Hu; Cloud-Clone Corp., Houston, TX, USA). Each serum sample was diluted 20-fold in phosphate-buffered saline, and tested according to the manufacturer's instructions. Briefly, 100 µl of diluted serum sample was added to the microtiter plate well pre-coated with an antibody specific to GP73 and incubated for 2 h at 37°C. Anti-IgG conjugated with biotin (100 µl) was added to each well and incubated for 1 h at 37°C. Then the plate was washed three times with washing buffer. Avidin conjugated to horseradish peroxidase (100 µl) was added to each well and incubated for 30 min at 37°C. Subsequent to washing five times, 90 µl of tetramethylbenzidine substrate solution was added to each well and incubated in the dark for 15 min. The enzyme-substrate reaction was then terminated by the addition of 50 µl of sulfuric acid solution. Absorbance was measured at 450 nm in a microplate reader (BioTek Instruments, Inc., Winooski, VT, USA). The concentration of sGP73 in the samples was determined by comparing the optical density of the samples to the standard curve.

Serum AFP was tested using a chemiluminescent immunoassay kit (Roche Diagnostics GmbH, Mannheim, Germany) at the Clinical Diagnostic Laboratories of the Third Affiliated Hospital of Sun Yat-Sen University. The upper limit of normal AFP was 8 ng/ml.

Clinical outcome assessment

Laboratory and imaging data were collected every month in patients with unresectable HCC. For patients who underwent curative treatment, radical resection or radiofrequency ablation (RFA), laboratory and imaging examination were conducted every three months after surgery or RFA. OS time was defined as the interval between the date of blood sample collection and the date of mortality from HCC, or the date of last follow-up if patients were still alive. DFS time was calculated as the interval between the date of surgery or RFA and the date of local recurrence/distant metastasis, date of mortality, or the latest date, when censored.

Statistical analysis

Quantitative values were presented as median interquartile range (IQR; 25th and 75th percentiles) due to the abnormal distribution of sGP73. Box-and-whiskers plots were used to describe sGP73 levels, and the Mann-Whitney U test was employed to compare the group differences in sGP73 levels. Receiver operating characteristic (ROC) curves were used to identify the optimal cutoff value of sGP73 for HCC diagnosis, and the areas under the curves (AUC) were compared using the Z test. The correlation between sGP73 and clinicopathological variables in patients with HCC was assessed by the χ2 test. The Kaplan-Meier method was employed to estimate the survival rate, and the log-rank test was used to assess the difference between curves. A Cox proportional hazards model was utilized to evaluate the prognostic value of multiple factors on survival rates. P<0.05 was considered to indicate a statistically significant difference. Statistical analyses were performed using SPSS version 17.0 (SPSS, Inc., Chicago, IL, USA) and MedCalc version 9.0 (MedCalc, Mariakerke, Belgium).

Results

Comparison of sGP73 concentrations

The median concentrations of sGP73 in patients with HCC, liver cirrhosis and healthy controls were 18.7 (IQR, 5.7–45.6), 18.5 (IQR, 5.31–41.8), and 0 (IQR, 0–8.5) ng/ml, respectively. As shown in Fig. 1, the sGP73 levels in the HCC and cirrhosis patients were markedly higher than those in healthy controls (P<0.001). However, no significant difference was identified between the HCC and cirrhosis groups (P=0.632).

Figure 1. Serum GP73 levels in patients with hepatocellular carcinoma or liver cirrhosis, and healthy controls. Serum GP73 was detected by quantitative ELISA. Circular points indicate outliers and crosses indicate the extremes. GP73, Golgi protein 73.

Sensitivity and specificity of sGP73 and AFP for HCC diagnosis

ROC curve analysis was used to define optimal cutoff values as well as the sensitivity and specificity of sGP73 and AFP in differentiating HCC and cirrhosis. The AUC for sGP73 was 0.51 [95% confidence interval (CI), 0.46–0.56], with a sensitivity of 27.79% and a specificity of 77.96% at the optimal cut-off point of 43.95 ng/ml. The AUC for AFP was 0.80 (95% CI, 0.77–0.83), with a sensitivity of 57.36% and a specificity of 90.96% at the optimal cutoff point of 93.27 ng/ml (Fig. 2). AFP had a significantly greater AUC than sGP73 for the diagnosis of HCC (P<0.001).

Figure 2. Receiver operating characteristic curves of serum GP73 and AFP for the diagnosis of hepatocellular carcinoma. GP73 had an inferior area under the curve compared with AFP (0.51 vs. 0.80; P<0.001). GP73, Golgi protein 73; AFP, α-fetoprotein.

Serum GP73 levels and HCC clinicopathological characteristics

To investigate the association between sGP73 levels and the clinicopathological characteristics of HCC, an optimal cutoff point of sGP73 for predicting OS was generated by ROC analysis. A sGP73 concentration >18.74 ng/ml was defined as high-level and ≤18.74 ng/ml as low-level (AUC, 0.745; 95% CI, 0.695–0.790). According to the cut-off point, high levels of sGP73 were observed in 50.6% (234/462) of patients with HCC.

As shown in Table I, high levels of sGP73 were significantly correlated with poor Eastern Cooperative Oncology Group (ECOG) performance status (P<0.001), advanced Barcelona-Clinic Liver Cancer (BCLC) stage (P<0.001), multiple lesions (P<0.001), tumor size >5 cm (P<0.001), satellite lesions (P<0.001), vascular invasion (P<0.001), lymph node metastasis (P=0.009), distant metastasis (P<0.001), high Child-Pugh score (P<0.001), and AFP ≥400 ng/ml (P<0.001). Other characteristics, including age, sex, etiology and liver cirrhosis background, were not significantly correlated with sGP73 level (all P>0.05).

Serum GP73 levels and HCC prognosis

Among the 462 HCC patients, complete follow-up information was available in 313 patients. The median follow-up time was 16.7 months (range, 0.07–36.13 months). During the follow-up, 157 patients (50.2%) succumbed to tumor progression. Among the 128 early-stage HCC patients who received curative treatment, 48 (37.5%) suffered tumor relapses, and 15 (11.7%) ultimately succumbed to disease recurrence.

As shown in Fig. 3, high levels of sGP73 were associated with a significantly reduced 1-year OS rate compared with low levels of sGP73 (40.5 vs. 75.8%; P<0.001). Poor OS was also associated with poor ECOG performance status (P<0.001), advanced BCLC stage (P<0.001), multiple lesions (P<0.001), tumor size >5 cm (P<0.001), satellite lesions (P<0.001), vascular invasion (P<0.001), lymph node metastasis (P<0.001), distant metastasis (P<0.001), high Child-Pugh score (P<0.001), and AFP ≥400 ng/ml (P<0.001) (Table II). Importantly, Cox multivariate analysis confirmed that high levels of sGP73 constituted an independent poor prognostic factor for OS [hazard ratio (HR), 2.004; 95% CI, 1.373–2.925; P<0.001; Table II]. In addition, ECOG performance status (HR, 1.421; 95% CI, 1.070–1.886; P=0.015), tumor size (HR, 2.400; 95% CI, 1.309–4.400; P=0.005), vascular invasion (HR, 2.397; 95% CI, 1.368–4.199; P=0.002), and Child-Pugh class (HR, 1.920; 95% CI, 1.426–2.587; P<0.001) were also negative independent predictors for OS. However, BCLC stage, tumor number, satellite lesions, lymph node metastasis, distant metastasis and AFP levels were not independent prognostic factors for OS (Table II).

Figure 3. Kaplan-Meier survival curves for overall survival time according to serum GP73 levels in 313 patients with hepatocellular carcinoma. High serum GP73 levels were associated with decreased overall survival time compared with low levels of serum GP73. GP73, Golgi protein 73.

Table II. Univariate and multivariate analyses of overall survival rate for 313 hepatocellular carcinoma patients.

Table II.

Univariate and multivariate analyses of overall survival rate for 313 hepatocellular carcinoma patients.

	Univariate analysis			Multivariate analysis
Variables	HR	95% CI	P-valuea	HR	95% CI	P-valueb
Age (<50 vs. ≥50 years)	1.162	0.842–1.605	0.361	–	–	–
Sex (female vs. male)	1.055	0.598–1.862	0.853	–	–	–
ECOG performance status (0 vs. 1 vs. 2 vs. 3 vs. 4)	2.057	1.729–2.447	<0.001	1.421	1.070–1.886	0.015
BCLC stage (1 vs. 2 vs. 3 vs. 4)	2.545	1.984–3.264	<0.001	0.896	0.611–1.313	0.512
Tumor number (1 vs. 2 vs. >3)	2.095	1.744–2.517	<0.001	1.276	0.944–1.725	0.113
Tumor size (<5 vs. ≥5 cm)	6.582	4.321–10.025	<0.001	2.400	1.309–4.400	0.005
Satellite lesion (no vs. yes)	4.985	3.536–7.028	<0.001	1.109	0.583–2.110	0.753
Vascular invasion (no vs. yes)	5.751	3.919–8.440	<0.001	2.397	1.368–4.199	0.002
Tumor grade (1 vs. 2 vs. 3)	0.880	0.213–3.634	0.860	–	–	–
Lymph node metastasis (no vs. yes)	1.880	1.364–2.591	<0.001	0.789	0.556–1.120	0.186
Distant metastasis (no vs. yes)	3.378	2.312–4.935	<0.001	1.041	0.682–1.588	0.852
Child-Pugh class (A vs. B vs. C)	2.358	1.863–2.983	<0.001	1.920	1.426–2.587	<0.001
Etiology (HBV vs. HCV vs. HBV and HCV vs. other)	0.660	0.394–1.105	0.114	–	–	–
Cirrhosis background (no vs. yes)	0.841	0.570–1.242	0.384	–	–	–
Serum AFP (<400 vs. ≥400 ng/ml)	2.572	1.872–3.533	<0.001	1.391	0.987–1.959	0.059
Serum GP73 (≤18.74 vs. >18.74 ng/ml)	3.529	2.516–4.949	<0.001	2.004	1.373–2.925	<0.001

{ label (or @symbol) needed for fn[@id='tfn3-ol-0-0-6938'] } HR, hazard ratio; CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; BCLC, Barcelona-Clinic Liver Cancer; AFP, α-fetoprotein; GP73, Golgi protein 73.

a Log-rank test

b Wald test.

To investigate the predictive value of sGP73 for HCC recurrence, the follow-up data of 128 HCC patients who underwent curative treatment was subjected to survival analysis. As shown in Table III, in the univariate analysis, poor ECOG performance status (P=0.012), advanced BCLC stage (P=0.018), multiple lesions (P=0.041), tumor size >5 cm (P=0.009), satellite lesions (P=0.002), vascular invasion (P=0.030), and sGP73 (P<0.001; Fig. 4A) were associated with poor DFS. However, only Child-Pugh class (HR, 3.747; 95% CI, 1.305–10.765; P=0.014) and sGP73 (HR, 4.664; 95% CI, 2.426–8.968; P<0.001) were negative independent prognostic biomarkers for DFS in the multivariate analysis (Table III). Similarly, for OS in this group, tumor size (P=0.019), satellite lesions (P=0.001), Child-Pugh class (P=0.044), and sGP73 (P=0.039; Fig. 4B) were negative predictors in the univariate analysis, whereas satellite lesions (HR, 25.202; 95% CI, 1.639–387.455; P=0.021), Child-Pugh class (HR, 3.726; 95% CI, 1.059–13.113; P=0.041), and sGP73 (HR, 4.026; 95% CI, 1.104–14.686; P=0.035) were independent prognostic factors in the multivariate analysis (Table III).

Figure 4. Kaplan-Meier survival curves for disease-free and overall survival times according to serum GP73 levels in 128 patients with hepatocellular carcinoma who underwent curative therapy. High levels of serum GP73 were associated with reduced (A) disease-free and (B) overall survival times. GP73, Golgi protein 73.

Table III. Univariate and multivariate analyses of DFS and OS in 128 hepatocellular carcinoma patients who underwent curative treatment.

Table III.

Univariate and multivariate analyses of DFS and OS in 128 hepatocellular carcinoma patients who underwent curative treatment.

	DFS						OS
	Univariate analysis			Multivariate analysis			Univariate analysis			Multivariate analysis
Variables	HR	95% CI	P-valuea	HR	95% CI	P-valueb	HR	95% CI	P-valuea	HR	95% CI	P-valueb
Age (<50 vs. ≥50 years)	1.351	0.757–2.413	0.309	–	–	–	3.080	0.847–11.195	0.088	2.354	0.550–10.077	0.249
Sex (female vs. male)	1.346	0.326–5.556	0.681	–	–	–	0.825	0.107–6.345	0.853	–	–	–
ECOG PS (0 vs. 1 vs. 2 vs. 3 vs. 4)	2.086	1.179–3.693	0.012	0.923	0.320–2.664	0.882	2.141	0.700–6.547	0.182	–	–	–
BCLC stage (1 vs. 2 vs. 3 vs. 4)	1.441	1.065–1.949	0.018	1.457	0.781–2.719	0.237	1.469	0.817–2.643	0.199	–	–	–
Tumor number (1 vs. 2 vs. >3)	1.554	1.017–2.372	0.041	1.034	0.503–2.124	0.928	1.881	0.911–3.882	0.088	0.280	0.056–1.405	0.122
Tumor size (<5 vs. ≥5 cm)	2.303	1.232–4.307	0.009	1.849	0.773–4.422	0.167	3.724	1.241–11.176	0.019	3.060	0.853–10.977	0.086
Satellite lesion (no vs. yes)	3.134	1.500–6.546	0.002	3.642	0.924–14.354	0.065	6.750	2.127–21.415	0.001	25.202	1.639–387.455	0.021
Vascular invasion (no vs. yes)	2.027	1.071–3.836	0.030	1.399	0.591–3.316	0.445	2.443	0.799–7.468	0.117	–	–	–
Tumor grade (1 vs. 2 vs. 3)	0.714	0.276–1.846	0.488	–	–	–	0.532	0.104–2.711	0.448	–	–	–
Child-Pugh class (A vs. B vs. C)	1.707	0.909–3.204	0.096	3.747	1.305–10.765	0.014	2.556	0.950–6.878	0.044	3.726	1.059–13.113	0.041
Etiology (HBV vs. HCV vs. HBV and HCV vs. other)	1.413	0.439–4.549	0.562	–	–	–	0.402	0.089–1.815	0.236	–	–	–
Cirrhosis background (no vs. yes)	2.527	0.784–8.147	0.121	–	–	–	1.737	0.225–13.397	0.596	–	–	–
Serum AFP levels (<400 vs. ≥400 ng/ml)	1.186	0.636–2.210	0.592	–	–	–	1.356	0.418–4.406	0.612	–	–	–
Serum sGP73 levels (≤18.74 vs. >18.74 ng/ml)	2.913	1.650–5.140	<0.001	4.664	2.426–8.968	<0.001	3.173	1.062–9.478	0.039	4.026	1.104–14.686	0.035

{ label (or @symbol) needed for fn[@id='tfn6-ol-0-0-6938'] } DFS, disease-free survival; OS, overall survival; HR, hazard ratio; CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; PS, performance status; BCLC, Barcelona-Clinic Liver Cancer; AFP, α-fetoprotein; sGP73, serum Golgi protein 73.

a Log-rank test

b Wald test.

Discussion

In the present study, it was found that sGP73 levels measured by ELISA were markedly higher in patients with HCC and liver cirrhosis than in healthy controls, whereas the difference in sGP73 levels between HCC and liver cirrhosis was not statistically significant. Both the sensitivity and specificity of sGP73 for the diagnosis of HCC were inferior to those of AFP. However, high sGP73 levels were significantly associated with aggressive clinicopathological features and decreased OS and DFS times in HCC. Multivariate analysis confirmed that sGP73 was an independent prognostic factor for HCC.

It is not entirely surprising that the diagnostic value of sGP73 was not detected in the present study. Upregulated hepatocyte expression of GP73 has previously been reported in the liver tissues not only of patients with HCC, but also of those with other liver disease, including liver cirrhosis (12), chronic hepatitis, hepatic atypical hyperplasia (15), liver cell adenoma, and focal nodular hyperplasia (23). High tissue levels of GP73 have also been observed in adenocarcinomas of the prostate, colon and breast, in renal cell cancer (26), and in bile duct carcinoma (23), suggesting that GP73 is not a HCC-specific biomarker. Iftikhar et al (13) observed that hepatocyte GP73 expression was markedly upregulated in patients with acute hepatitis, and that the upregulation was reversible upon the resolution of the acute disease. A similar magnitude of increased GP73 expression was observed in fully established cirrhosis. Consistently, a recent study demonstrated that the levels of sGP73 were low in chronic HBV carriers without liver injury, but they were significantly elevated in patients with prominent hepatic injury and fibrosis, and the sGP73 levels were positively correlated with the severity of liver injury, indicating that the affected hepatocytes released more GP73 into the blood when liver injury was triggered (27). Therefore, the increase of sGP73 is a common feature of liver injury, regardless of the causes.

Although the sGP73 levels in HCC were similar to those in liver cirrhosis in the present study, a number of studies reported higher sGP73 levels in HCC than in liver cirrhosis (19–21), or higher sGP73 levels in liver cirrhosis than in HCC (15,25). This discrepancy may be partly due to the heterogeneity of the disease stage of patients with HCC or liver cirrhosis among different studies. More advanced stages of HCC or liver cirrhosis reflect more injured hepatocytes, resulting in higher sGP73 levels in HCC or cirrhosis. Different GP73 antibodies used for the ELISA test may be another reason for this discrepancy. GP73 ELISA kits are commercially available; however, the different sensitivities and specificities of the kits provided by different manufacturers may lead to different results.

Since sGP73 was initially identified, studies have focused on its role in the early diagnosis of HCC (11,18–21). Few studies have investigated the association of sGP73 with the clinicopathological characteristics and prognosis of HCC (15,21). In the present study, it was identified that high levels of sGP73 were associated with aggressive tumor behavior and poor DFS and OS times, and that sGP73 was an independent negative prognostic factor of HCC, which is consistent with the roles of overexpressed GP73 in HCC tissue (14). Significantly, with regard to predicting the risk of relapse and mortality, sGP73 had comparable HRs (4.664 and 4.026, respectively) with Child-Pugh class (3.747 and 3.726, respectively), and was superior to BCLC stage (Table III), suggesting that sGP73 has an important prognostic value in HCC. In HCC cell lines and xenograft tumors in mice, GP73 has been shown to promoted proliferation, migration, invasion and metastasis (28). However, the mechanism by which GP73 promotes tumor progression remains unclear. Recently, a study demonstrated that GP73 potentiated HCC cell invasion by upregulating matrix metalloproteinase-13 (29), supporting the role of GP73 in HCC as suggested by the present study.

In summary, the present study demonstrated that sGP73 was not a diagnostic marker but rather a prognostic factor for HCC. High levels of sGP73 were predictive of more aggressive features of HCC and poorer OS and DFS times; therefore, as a prognostic marker, sGP73 would be of great benefit for identifying the patients with a high risk of disease progression or recurrence, who may benefit from individualized therapy.

Acknowledgements

The present study was supported by the National Natural Science Foundation of China (grant no. 81372374 to Xiang-Yuan Wu), and the Science and Technology Foundation of Guangdong Province (grant no. 2011B031800014 to Min Dong).

Glossary

Abbreviations

Abbreviations:

References