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Introduction

Hepatocellular carcinoma (HCC) is one of the most common forms of cancer. The prognosis of patients with HCC is generally poor, and it is the third leading cause of cancer mortality worldwide (1). The recurrence rate within five years of surgical resection or radiofrequency ablation for HCC is estimated at 70%, which contributes to the poor prognosis (2). To improve prognosis, it is important to diagnose recurrence at an early phase and begin appropriate additional therapies. Although numerous methods for predicting recurrence have been studied, effective prediction methods have not yet been established (3,4). At present, alpha-fetoprotein (AFP) and protein induced by vitamin K absence or antagonist-II (PIVKA-II) are commonly used as tumor markers and are reported to be prognostic factors of HCC (3). However, these markers are sometimes elevated in patients without HCC who suffer from chronic hepatitis (5). Thus, novel diagnostic markers to detect HCC with greater sensitivity and specificity are urgently needed.

In this study, we noted glypican-3 (GPC3), a protein of about 70 kDa, that attaches to the cell membrane via glycosylphosphatidylinositol anchors and is expressed in approximately 70% of HCC cases (6–8). GPC3 has multiple sugar chains and heparan sulfate modification sites and is known to be related to poor prognosis for HCC (9–12). GPC3 undergoes cleavage at its central region (R358/S359) by an enzyme called Furin into a N-terminal form of about 40 kDa and a C-terminal form of about 30 kDa (13). GPC3 is also thought to exist in a full-length form, the same as the membrane-bound state, with numerous intermolecular disulfide bonds (14,15).

GPC3 is present in the blood of HCC patients (16,17). However, the molecular form of GPC3 in blood is still being debated and there are various opinions about the soluble form, such as full-length and N-terminal forms (18,19). Furthermore, levels of GPC3 in blood differ across reports, with values ranging from several pg/ml to several µg/ml (12,15,19–22). Although the roles of GPC3 and its physiological significance have not yet been elucidated, it is thought to relate to the regulation of cell differentiation and proliferation and to exert these functions only after being cleaved and configured into the full-length form by the disulfide bond between N- and C-terminal domains (13,23).

There have been several reports about the clinical usefulness of the N-terminal form of GPC3. Enzyme-linked immunosorbent assay methods capable of detecting the N-terminal form of GPC3 have indicated that preoperative N-terminal GPC3 is an independent biomarker of HCC recurrence (15,19,20). However, it remains controversial whether full-length GPC3 (FL-GPC3) is a predictive marker of HCC recurrence. Thus, we developed a new measurement reagent to specifically detect FL-GPC3 and verified its utility for predicting HCC recurrence after radial surgery, using FL-GPC3 alone or in combination with the conventional tumor markers AFP and PIVKA-II.

Materials and methods

Samples

Preoperative serum and plasma samples were collected from 39 patients with HCC who underwent surgical resection at the National Cancer Research Center East Hospital, Japan. All samples were frozen and stored at −80°C until measurement. Written informed consent was obtained from all patients.

Measurement of plasma FL-GPC3, AFP, or PIVKA-II

AFP and PIVKA-II were measured using an electrochemiluminescence immunoassay kit (Roche Co.) and chemiluminescent enzyme immunoassay kit (Eisai Co.), respectively. The assay system for FL-GPC3 was constructed using a sandwich immunoassay, in which a monoclonal mouse antibody against its N-terminus is used to capture the protein and a monoclonal mouse antibody against the C-terminus is used to detect the protein. The monoclonal antibody against its N-terminus was labeled with biotin and the antibody against its C-terminus with alkaline phosphatase. The immunoassay was performed by first reacting the plasma sample with the biotinylated antibody, then capturing the immunocomplex using streptavidin-coated magnetic beads. After washing the beads, an alkaline phosphatase-labeled antibody was added to form a sandwich immunocomplex. After a second wash, a luminescent substrate was added and the luminescence intensity was measured. All immunoassay steps were performed using a HISCL™ series (Sysmex Co.), which is an automated immunoassay device. Recombinant GPC3 (R&D Systems Inc.) was used as the assay standard. Standards at concentrations of 2, 15, 50, 150, 500, and 1,500 pg/ml were measured and calibration curves were generated by the four-parameter logistic regression method.

Detecting FL-GPC3 in blood

HepG2 (ATCC HB-8065), a GPC3-positive liver cancer cell line, was purchased from American Type Culture Collection. This cell line was authenticated using STR DNA profiling by PowerPlex® 16 HS system (Promega KK. The Cells were seeded at 1.6×105 cells/ml and cultured in 250 ml of Dulbecco's modified Eagle's medium D5796 (Sigma-Aldrich) with 10% fetal bovine serum (Thermo Fisher Scientific, Inc.) for 3 days. The culture supernatant was recovered, filtered through a 0.22 µm filter, and concentrated 20-fold by centrifugal filters (3 kDa MWCO). NaCl was added to a final concentration of 400 mM and Tween-20 was added to a final concentration of 0.1%, after which 50 µg biotinylated N-terminal recognizing antibody and streptavidin-immobilized beads were added. After reacting at 4°C for 12 h, beads were collected and washed eight times with 1 ml of 0.1% Tween/PBS. The bound immunocomplex was then eluted with 0.5 ml of 0.1 M Glycine-HCl pH 2.5/0.1% Tween-20. After concentrating the eluate with centrifugal filters, 1/5 of the volume was used for Western blotting and 4/5 was used for analysis by mass spectrometry. For Western blotting analysis, the sample after immunoprecipitation and recombinant FL-GPC3 were fractionated by SDS-PAGE and transferred to a PVDF membrane. Membranes were washed with 0.1% Tween/TBS three times after incubation with 3% BSA/1% Tween/TBS for 60 min and incubated with 0.1 µg/ml of primary antibodies to detect the C-terminus region of GPC3 for 60 min. Next, membranes were washed three times and incubated with secondary anti-mouse antibodies conjugated with HRP (dilution, 1:5,000; Cat. No. 330; Medical and Biological Laboratories Co., Ltd.) for 60 min. After washing three times, membranes were incubated with a chemical substrate and measured using the ECL system LAS-3000 mini (Fuji Firm Co.) according to the manufacturer's protocols. For mass spectrometry, reverse phase chromatography was carried out with a L-column Micro (0.1×150 mm, Chemical Substance Evaluation Research Organization) connected to an ADVANCE UHPLC SYSTEM (Michrom BioResources, Inc.) using a Thermo Scientific LTQ Orbitrap XL mass spectrometer. Measurement was performed under conditions of 0.1% formic acid with acetonitrile as a solvent at a flow rate of 500 nl/min. The ionization method was performed under conditions of Nanoflow-LC-ESI with a positive ionization mode, capillary voltage 1.9 kV, and collision energy 35%.

Statistical analysis

Statistical analyses were performed using Statflex software (Nankodo, Tokyo, Japan). Patient characteristics were compared by the Fisher's exact tests for nominal variable and the Mann-Whitney U test for continuous variables. Survival rates were analyzed by the Kaplan-Meier method and log rank test. The cutoff values were determined by receiver operating characteristic (ROC) curves and area under the curve (AUC) analyses, and Spearman rank correlation was used for correlation analysis. Statistical significance was defined as P<0.05.

Results

Patient characteristics

Table I shows the characteristics of 39 patients with HCC. The median patient age was 67 years (range: 59–71 years) and 31 (79%) were male. 31 patients (79%) had a hepatic virus infection, 23 of them with HCV and eight with HBV. Of the total 39 patients, 11 had no recurrence of HCC within 4 years (non-recurrence group) and 28 had recurrence (recurrence group). Among the recurrence group, 15 of 28 patients had early recurrence within 1 year (Table II). Furthermore, six of the 15 patients with early recurrence were stage III or higher, while the other nine patients were stage II or lower, who were thought to have a relatively low risk of recurrence (24).

Table I. Patient characteristics.

Table I.

Patient characteristics.

Variables	Number
Age, median (range)	67 (59–71)
Sex
Male	31
Female	8
Liver condition
Cirrhosis	13
Chronic hepatitis	15
Other	11
Virus infection
HCV	23
HBV	8
None	8
TNM stage
I	22
II	8
III	6
IV	2
Number of tumors
Solitary	8
Multiple	31
Tumor size (mm), median (range)	40.0 (25.0–67.5)
Vascular invasion
Present	11
Absent	28
Differentiation of tumor
Well	8
Moderately	28
Poorly	3
Recurrence
Yes	28
No	11
AFP (ng/ml), median (range)	28.5 (5.7–294.6)
PIVKA-II (mAU/ml), median (range)	97.0 (26.5–508.5)
FL-GPC3 (pg/ml), median (range)	21.0 (4.0–55.6)

[i] HCV, hepatitis C virus; HBV, hepatitis B virus; AFP, alpha-fetoprotein; PIVKA-II, protein induced by vitamin K absence or antagonist-II; FL-GPC3, full-length glypican-3.

Table II. Characteristics of patients in the recurrence and non-recurrence groups.

Table II.

Characteristics of patients in the recurrence and non-recurrence groups.

Variables	Recurrence (n=28)	Non-recurrence (n=11)	Fisher's exact test P-values	Mann-Whitney U test P-values
Age			0.069
≥65	8	7
<65	20	4
Sex			0.400
Male	21	10
Female	7	1
Liver condition			0.044
Cirrhosis	23	5
Chronic hepatitis or other	5	6
HCV infection			0.471
Positive	18	5
Negative	10	6
HBV infection			0.400
Positive	7	1
Negative	12	10
Stage			0.446
I or II	18	9
III or IV	10	2
Number of tumors			1.000
Solitary	22	9
Multiple	6	2
Tumor size (mm)			0.477
≥5	12	3
<50	16	8
Vascular invasion			0.383
Present	9	2
Absent	19	9
Differentiation of tumor			0.259
Well or moderately	25	11
Poorly	3	0
AFP (ng/ml), median (range)	35.7 (10.2–420.5)	5.7 (3.6–59.8)		0.057
PIVKA-II (mAU/ml), median (range)	208.0 (25.0–822.0)	67.0 (30.0–91.0)		0.365
FL-GPC3 (pg/ml), median (range)	40.8 (8.5–64.7)	3.3 (2.9–10.2)		0.002
≥14.4	9	10	0.001
<14.4	19	1
Recurrence within 1 year		–	–
Yes	15
No	13

[i] HCV, hepatitis C virus; HBV, hepatitis B virus; AFP, alpha-fetoprotein; PIVKA-II, protein induced by vitamin K absence or antagonist-II; FL-GPC3, full-length glypican-3.

Proof of existence of FL-GPC3 in cultured cell supernatant

To verify the presence of FL-GPC3 in blood, we evaluated secreted GPC3 in the supernatant of cultured HepG2 cells, which has been well characterized as a GPC3-positive liver cancer cell line (25). We used mass spectrometry to detect FL-GPC3 containing both the N- and C-terminal domains. HepG2 cultured supernatant was used based on the following two conjectures: (i) Proteins secreted from HepG2 cells into supernatant are potentially the same as those secreted from liver cancer cells into blood in vivo and (ii) using immunoprecipitation with mass spectrometry to directly detect FL-GPC3 in blood would require much higher sensitivity (pg/ml order) than the currently measurable value. GPC3 in the supernatant of cultured cells was recovered by immunoprecipitation with the N-terminal recognition antibody and confirmed by Western blotting with the C-terminal recognizing antibody (Fig. 1A). The molecular weight of the captured GPC3 was the same as that of the full-length recombinant GPC3, which was run alongside for comparison. To confirm the existence of both the N- and C-terminal domains, analysis by mass spectrometry was performed. Many peptides derived from both the N- and C-terminals of GPC3 were detected (Table SI). It was thus confirmed that FL-GPC3 was present in the culture supernatant, implying a high likelihood of FL-GPC3 being present in blood.

Figure 1. Characterization of native GPC3 and the development of its measurement system. (A) FL-GPC3 expression was confirmed by western blot analysis. The left line represents rFL-GPC3 and the right line presents the immunoprecipitation product from HepG2 culture supernatants (presented as native GPC3). (B) The calibration curve for the measurement of FL-GPC3 is presented. rFL-GPC3 was used as the standard (15–1,500 pg/ml). Concentrations of FL-GPC3 were determined by a four parameter logistic model. (C) The assay linearity of dilution was evaluated. GPC3, glypican-3; rFL-GPC3, recombinant full-length glypican-3.

Construction of a measurement method for FL-GPC3

To measure FL-GPC3 in blood, a sandwich assay was constructed using an antibody recognizing the N-terminus for capture and an antibody recognizing the C-terminus for detection. The determination range of FL-GPC3 by this method was 2–1,500 pg/ml (Fig. 1B). The coefficient of variation for the three measurements was less than 5%, demonstrating that our method measured FL-GPC3 with a very high precision. In addition, recombinant GPC3 spiked into GPC3 negative specimens of healthy subjects showed a clear spike recovery ratio and dilution linearity, indicating that the method was not affected by the plasma matrix (Fig. 1C).

Preoperative plasma FL-GPC3, AFP, and PIVKA-II levels in HCC patients

Preoperative plasma or serum biomarker levels in HCC patients were measured using fully-automated immunoassay systems. The median levels of AFP, PIVKA-II, and FL-GPC3 were 28.5 (5.7–294.6) ng/ml, 97.0 (26.5–294.6) mAU/ml, and 21.0 (4.0–5.6) pg/ml, respectively (Table I). The median FL-GPC3 level in the recurrence group was 40.8 pg/ml (range 8.5–64.7), which was significantly higher than that in the non-recurrence group (3.3 pg/ml, range 2.9–10.2, P<0.01) (Table II; Fig. 2A). By contrast, there were no significant differences in median AFP or PIVKA-II levels between the two groups (recurrence group vs. non-recurrence group: AFP; 35.7 [range, 10.2–420.5] ng/ml vs. 5.7 [range, 3.6–59.8] ng/ml, P=0.06, PIVKA-II; 208.0 [range, 25.0–822.0] mAU/ml vs. 67.0 [range, 30.0–91.0] mAU/ml, P=0.37) (Table II; Fig. 2B and C). Weak correlations between FL-GPC3 and AFP, AFP and PIVKA-II were observed (Fig. 2D-F). No other patient background factors, including tumor size, were significantly associated with FL-GPC3 levels.

Figure 2. Measurement of plasma FL-GPC3 and other biomarkers in patients with HCC. Levels of (A) FL-GPC3, (B) AFP and (C) PIVKA-II in the recurrence and non-recurrence groups are presented. The P-values of the Mann-Whitney U test are presented in each figure. Correlations between (D) FL-GPC3 and AFP, (E) FL-GPC3 and PIVKA-II, and (F) AFP and PIVKA-II are detailed. The values for r and P (Spearman rank correlation) are included in each figure. HCC, hepatocellular carcinoma; FL-GPC3, full-length glypican-3; AFP, alpha-fetoprotein; PIVKA-II protein induced by vitamin K absence or antagonist-II.

FL-GPC3 predicts HCC recurrence within four years of surgery more precisely than the two existing biomarkers

ROC analysis was used to verify whether each biomarker could be used to classify each group. The AUC value of the ROC curve was highest for FL-GPC3, followed by AFP and PIVKA-II (0.830, 0.698, and 0.594, respectively; Fig. 3A). When the cutoff value of FL-GPC3 was set to 14.4 pg/ml based on the Youden index, the positive rate of FL-GPC3 in the recurrence group was 68% (19/28), which was higher than the 9% (1/11) in the non-recurrence group (Table II). Next, the disease-free survival (DFS) periods in patients with high (≧14.4 pg/ml, n=20) and low (<14.4 pg/ml, n=19) FL-GPC3 levels were analyzed and compared using Kaplan-Meier survival analysis and log rank test, which revealed significant differences in both groups (60.0% vs. 15.8% and 95.0% vs. 47.4%, at 1- and 4-year recurrence rates, respectively; P=0.005, 0.001; Fig. 3B). This clearly supports that FL-GPC3 is a predictive marker of HCC recurrence that is equal to or better than AFP and PIVKA-II (Fig. S1A and B).

Figure 3. ROC and Kaplan-Meier survival curves for DFS after surgery. (A) ROC curves of FL-GPC3, AFP and PIVKA-II are presented. The area under the ROC curve value for AFP, PIVKA-II and FL-GPC3 was 0.830 (95% confidence interval, 0.957–0.702), 0.698 (0.893–0.503) and 0.594 (0.782–0.406), respectively. (B) Kaplan-Meier curves of DFS in patients with low (≤14.4 pg/ml, n=19) and high (>14.4 pg/ml, n=20) FL-GPC3 are presented. The P-value of the log rank test was 0.0004. ROC, receiver operating characteristic; DFS, disease-free survival; FL-GPC3, full-length glypican-3; AFP, alpha-fetoprotein; PIVKA-II protein induced by vitamin K absence or antagonist-II.

Combining three biomarkers enabled better prediction of HCC recurrence within one year of surgery

Having demonstrated that FL-GPC3 is a predictive marker of HCC recurrence within four years, we evaluated whether earlier recurrence (i.e., within one year) could be predicted. Patients with recurrence were divided into an early recurrence group (n=15), which showed recurrence within one year, and a second group with later recurrence or no recurrence (n=24). Biomarker levels were then compared between groups (Table III). Significant differences were observed for FL-GPC3 (46.2 pg/ml vs. 6.9 pg/ml, P=0.014), AFP (160.2 ng/ml vs. 10.9 ng/ml, P=0.026), and PIVKA-II (226.0 mAU/ml vs. 36.5 mAU/ml, P=0.008). However, the AUC value of the ROC curve obtained for each biomarker was not high enough to be practical. The sensitivity of each marker for predicting early recurrence was high (FL-GPC3 93.3%, AFP 93.3%, PIVKA-II 86.7%), but the specificity was insufficient (FL-GPC3 45.8%, AFP 58.3%, PIVKA-II 47.8%) when the cutoff values of each marker was set based on the Youden index (FL-GPC3 >8.0 pg/ml, AFP >7.9 ng/ml, PIVKA-II >102.0 mAU/ml) (Fig. 4A). Thus, we examined whether combining the three values was effective for predicting recurrence. Of the total patients, 14/39 (36%) were positive for all three markers, and these patients tended to face recurrence at an earlier stage than other patients (rates of recurrence within 1 year, 93% (13/14) vs. 8% (2/25), P<0.001) (Table IV). The sensitivity and specificity to predict recurrence within 1 year were 86.6 and 95.8%, respectively (Fig. 4B). Therefore, by using three biomarkers in combination, patients likely to face recurrence within one year of surgery could be predicted with a very high sensitivity and specificity.

Figure 4. Early recurrence prediction by FL-GPC3, AFP, PIVKA-II and their combinations. (A) ROC curves of FL-GPC3, AFP and PIVKA-II for the diagnosis of HCC recurrence within one year of surgery are presented. The area under the ROC curve values for each marker was 0.736 (95% confidence interval, 0.820–0.652), 0.714 (0.809–0.619) and 0.757 (0.837–0.677), respectively. The cutoff values for each marker were set based on the Youden index (FL-GPC3 >8.0 pg/ml, AFP >7.9 ng/ml and PIVKA-II >102.0 mAU/ml). (B) The associations between time to recurrence and positive numbers of FL-GPC3, AFP and PIVKA-II are presented. Plus three, two and one indicates the patients that were positive for all three, two or one marker respectively. Plus zero indicates the patients that were positive for no markers. The cutoff value of each marker was FL-GPC3 >8.0 pg/ml, AFP >7.9 ng/ml and PIVKA-II >102.0 mAU/ml. Each patient is indicated by a dot. FL-GPC3, full-length glypican-3; AFP, alpha-fetoprotein; PIVKA-II protein induced by vitamin K absence or antagonist-II; HCC, hepatocellular carcinoma; ROC, receiver operating characteristic.

Table III. Patient characteristics in the two groups, early recurrence or others.

Table III.

Patient characteristics in the two groups, early recurrence or others.

Variables	Early recurrence n=15	Other n=24	Fisher's exact test P-values	Mann-Whitney U test P-values
Age			0.061
≥65	12	12
<65	3	12
Sex			0.452
Male	4	4
Female	11	20
Liver condition			0.018
Cirrhosis or chronic hepatitis	14	14
Other	1	10
HCV infection			0.150
Positive	11	12
Negative	4	12
HBV infection (+/−)			0.950
Positive	3	5
Negative	12	19
Stage			0.323
I or II	6	6
III or IV	9	18
Number of tumors			0.950
Solitary	3	5
Multiple	12	19
Tumor size (mm)			0.131
≥50	8	7
<50	7	17
Vascular invasion (+/−)			0.043
Present	7	4
Absent	8	20
Differentiation of tumor			0.849
Well or moderately	14	22
Poorly	1	2
AFP (ng/ml), median (range)	160.2 (16.8–1441.4)	10.9 (4.2–67.4)		0.026
PIVKA-II (mAU/ml), median (range)	226.0 (156.0–2532.0)	36.5 (22.8–120.3)		0.008
FL-GPC3 (pg/ml), median (range)	46.7 (21–62.4)	6.9 (3.2–37.2)		0.014

[i] HCV, hepatitis C virus; HBV, hepatitis B virus; AFP, alpha-fetoprotein; PIVKA-II, protein induced by vitamin K absence or antagonist-II; FL-GPC3, full-length glypican-3.

Table IV. Patient characteristics in two groups classified according to the marker positive number.

Table IV.

Patient characteristics in two groups classified according to the marker positive number.

Variables	Three positive groups n=14	Other n=25	Fisher's exact test P-values	Mann-Whitney U test P-values
Age			0.342
≥65	10	14
<65	4	11
Sex (male/female)			0.916
Male	3	5
Female	11	20
Liver condition			0.029
Cirrhosis or chronic hepatitis	13	15
Other	1	10
HCV infection			0.237
Positive	10	13
Negative	4	12
HBV infection			0.471
Positive	2	6
Negative	12	19
Stage			0.221
I or II	6	6
III or IV	8	19
Number of tumors			0.916
Solitary	3	5
Multiple	11	20
Tumor size (mm)			0.073
≥50	8	7
<50	6	18
Vascular invasion			0.024
Present	7	4
Absent	7	21
Differentiation of tumor			0.923
Well or moderately	13	23
Poorly	1	2
AFP (ng/ml), median (range)	180.9 (26.4–4701.8)	7.9 (4.0–52.6)		0.004
PIVKA-II (mAU/ml), median (range)	450.5 (216.5–3555.5)	30.0 (22.0–85.0)		0.000
FL-GPC3 (pg/ml), median (range)	51.5 (29.5–64)	6.3 (3.0–25.6)		0.001
Recurrence within 1 year (+/−)			<0.001
Yes	13	2
No	1	23

[i] Three positive groups (AFP+, PIVKA-II+, FL-GPC3+) were compared with two positive, one positive and all negative groups. HCV, hepatitis C virus; HBV, hepatitis B virus; AFP, alpha-fetoprotein; PIVKA-II, protein induced by vitamin K absence or antagonist-II; FL-GPC3, full-length glypican-3.

Discussion

To formulate effective treatment policies, it is crucial to know the risk of recurrence of HCC before treatment. Our study has shown that HCC patients with high FL-GPC3 levels have a higher risk of recurrence within four years, and that there is no significant correlation between FL-GPC3 level and tumor diameter. This finding is consistent with previous reports (26,27). It has been reported that GPC3 is expressed in cancerous cells as well as non-cancerous surrounding cells, and that the prognosis of GPC3-positive HCC patients is poor (12,14,28,29). This may indicate that FL-GPC3 is produced by the tumor itself but as well as by precancerous lesions located in the surrounding liver tissue. Thus, it is possible that FL-GPC3 could be used as a biomarker to qualitatively evaluate the malignancy of a tumor and its surrounding environment.

In the present study, we revealed that patients positive for all three markers (FL-GPC3, AFP and PIVKA-II) were likely to face HCC recurrence within one year. In addition, a weak correlation was found between FL-GPC3 and AFP and between AFP and PIVKA-II. It is known that a high value of AFP or PIVKA-II is a poor prognosis marker of HCC (30,31). Our study showed that high levels of FL-GPC3 were strongly related to HCC recurrence, and this might also reflect poor prognosis. Both AFP and GPC3 are known as fetal cancer antigens. Our study shows a correlation between the two, but FL-GPC3 did not correlate with tumor size, whereas AFP is known to correlate well with tumor size (32). Therefore, even if AFP and FL-GPC3 are the same fetal cancer antigen, they may reflect some different factors that contribute to cancer recurrence. In addition, since there is no correlation between FL-GPC3 and PIVKA-II, it can be said that it also reflects different risk factors for recurrence. Our study shows a correlation between AFP and PIVKA-II, both of which are known to correlate with tumor size (32,33). However, AFP is elevated in poorly differentiated hepatocytes, and high levels of PIVKA-II are said to suggest the presence of vascular invasion (34). This suggests that AFP and PIVKA-II also reflect different recurrence risk factors. Based on these facts, FL-GPC3, AFP, and PIVKA-II are all considered to be markers that reflect different cancer states and risk of recurrence. While expression of any of these three markers could indicate poor prognosis, patients with high levels of all three markers are thought to be at very high risk of early recurrence due to predisposition to cancer development, even though there is a weak correlation among these markers. Our results show that patients with early recurrence have a high prevalence of background liver disease and a high incidence of vascular invasion, which is consistent with previous reports (35). Patients with these backgrounds still need careful follow-up as patients with high recurrence risk. On the other hand, there was one early recurrence in a patient who had neither vascular invasion nor background liver disease, and this case showed high values for FL-GPC3, AFP, and PIVKA-II. As the sample set used in this study is relatively small, further case studies will need to be added. However, the measurement of the three markers may be useful in screening for patients with high-early recurrence risk that may be overlooked by background liver disease or vascular invasion alone. In addition, the presence or absence of mild vascular invasion cannot be known until a histopathological examination after surgery. Our finding that patients who are positive for all three markers are more likely to have early recurrence, so that they know the patient's risk of early recurrence before treatment. Better knowledge of the risk of recurrence will allow a more optimal treatment method to be selected for each patient, promoting the development of personalized medicine. Future efforts to develop new therapies combating HCC recurrence would benefit from the selection of patients with high recurrence risk as well as the possibility of reducing side effect risk. Diagnosis of HCC recurrence risk by FL-GPC3 measurement may become a crucial diagnostic technique in the future.

In the present study, the median concentration of FL-GPC3 in the blood of HCC patients was 21.0 pg/ml, which is lower than previously reported levels (400–99,940 pg/ml) (15,19,20). This difference could be because the previously reported assays were for N-terminal GPC3, which measures both N-terminal and the full-length protein, whereas our assay measured only the latter. As our assay requires the formation of a sandwich by antibodies simultaneously recognizing the N- and C-terminal sides, it enables measurement of only FL-GPC3. By contrast, both the N-terminal domain and full-length protein were measured in a previous study using a pair of antibodies specific to the N-terminal domain. The correlation between GPC3 and other markers remains controversial (15,26,28) but may be explained by the target form of GPC3 in each report. It is not clear what form of GPC3-whether the N-terminal domain, the full-length protein, or the combination of the two-more closely reflects the prognosis of HCC. A comparative study between N-terminal GPC3 and our assay in the same group of patients would be required to confirm this. Verification studies performed for all GPC3 forms in the same patient group could address this problem.

Further, while the present study focused on predicting the risk of post-operative HCC recurrence, FL-GPC3 measurement could be expanded to predict HCC occurrence in patients with chronic hepatitis (CH) or LC. Past studies have shown that the N-terminal form of GPC3 does not increase in these patients (19,21), but FL-GPC3 has not yet been investigated. Comparing the levels of FL-GPC3 in patients with HCC, CH, or LC and healthy volunteers could give a clear idea of the normal level of this protein and help identify the point at which FL-GPC3 levels increase in blood. We hope that the utility of FL-GPC3 as a biomarker will be further investigated in larger scale, multi-center cohort studies.

Supplementary Material

Supporting Data

Acknowledgements

A patent application has been filed relating to this work. Inventors: Tetsuya Nakatsura, Keigo Saito, Masahiro Miura, Kozo Suto and Takuya Iino. Title, method for assisting prediction of recurrence risk in HCC patient, device, computer program product, and kit. Patent code: JP Patent 6292564. Date filed, March 6, 2017. Date issued, February 23, 2018.

Funding

The present study was supported by the National Cancer Center Research and Development Fund (grant nos. 25-A-7 and 28-A-8), as well as joint research funding from Sysmex Co., Ltd.

Availability of data and materials

The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.

Authors' contributions

MM, NF, and KSa and KSu constructed the measurement system of FL-GPC3 and analyzed the patient data. YS, SM, and TS analyzed and interpreted the patient data. MK, ST and NG collected samples and suggested the clinical utility of FL-GPC3. TY and TN were major contributors in the conception and designing of the current study. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The present study was approved by the Research Ethics Committee of the National Cancer Center of Japan and Sysmex Corporation. Informed consent was obtained from all patients.

Patient consent for publication

Written consent for publication was obtained from all patients.

Competing interests

TN was supported by fundamental research funding obtained from Sysmex Co., Ltd. The remaining authors declare that they have no competing interests.

Glossary

Abbreviations

Abbreviations:

References