Retrospective Study Open Access
Copyright ©The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jun 16, 2018; 6(6): 110-120
Published online Jun 16, 2018. doi: 10.12998/wjcc.v6.i6.110
Prognostic role of alpha-fetoprotein response after hepatocellular carcinoma resection
Narongsak Rungsakulkij, Wikran Suragul, Somkit Mingphruedhi, Pongsatorn Tangtawee, Paramin Muangkaew, Suraida Aeesoa, Department of Surgery, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
ORCID number: Narongsak Rungsakulkij (0000-0003-3522-5800); Wikran Suragul (0000-0002-9933-9279); Somkit Mingphruedhi (0000-0002-1404-1968); Pongsatorn Tangtawee (0000-0001-9598-5479); Paramin Muangkaew (0000-0002-2470-8164); Suraida Aeesoa (0000-0002-4137-3861).
Author contributions: Rungsakulkij N designed the study, collected and interpreted the data, and wrote the paper; Suragul W collected the data and wrote the paper; Mingphruedhi S collected and analyzed the data; Tangtawee P collected and analyzed the data; Muangkaew P collected the data; Aeesoa S analyzed the data.
Institutional review board statement: This study was reviewed and approved by the Ramathibodi Hospital Institutional Review Board Committee on Human Rights Related to Research Involving Human Subjects (protocol number ID 03-61-25).
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: All authors declare no conflicts-of-interest related to this article.
Data sharing statement: No additional data are available.
Open-Access: This article is an open access article, which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creative commons.org/licenses/by-nc/4.0
Correspondence to: Wikran Suragul, FRCS (Gen Surg), MD, Doctor, Surgeon, Department of Surgery, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, 270 Praram VI Road, Ratchathewi, Bangkok 10400, Thailand. wikran.sur@mahidol.ac.th
Telephone: +66-2-2011527 Fax: +66-2-2012471
Received: April 26, 2018
Peer-review started: April 27, 2018
First decision: May 9, 2018
Revised: May 11, 2018
Accepted: May 30, 2018
Article in press: May 31, 2018
Published online: June 16, 2018

Abstract
AIM

To investigate whether the change in pre-/post-operation serum alpha-fetoprotein (AFP) levels is a predictive factor for hepatocellular carcinoma (HCC) outcomes.

METHODS

We retrospectively analyzed 334 HCC patients who underwent hepatic resection at our hospital between January 2006 and December 2016. The patients were classified into three groups according to their change in serum AFP levels: (1) the normal group, pre-AFP ≤ 20 ng/mL and post-AFP ≤ 20 ng/mL; (2) the response group, pre-AFP > 20 ng/mL and post-AFP decrease of ≥ 50% of pre-AFP; and (3) the non-response group, pre-AFP level > 20 ng/mL and post-AFP decrease of < 50% or higher than pre-AFP level, or any pre-AFP level < 20 ng/mL but post-AFP >20 ng/mL

RESULTS

Univariate and multivariate analyses revealed that multiple tumors [hazard ratio (HR): 1.646, 95%CI: 1.15-2.35, P < 0.05], microvascular invasion (mVI) (HR: 1.573, 95%CI: 1.05-2.35, P < 0.05), and the non-response group (HR: 2.425, 95% CI: 1.42-4.13, P < 0.05) were significant independent risk factors for recurrence-free survival. Similarly, multiple tumors (HR: 1.99, 95%CI: 1.12-3.52, P < 0.05), mVI (HR: 3.24, 95%CI: 1.77-5.90, P < 0.05), and the non-response group (HR: 3.62, 95%CI: 1.59-8.21, P < 0.05) were also significant independent risk factors for overall survival. The non-response group had significantly lower overall survival rates and recurrence-free survival rates than both the normal group and the response group (P < 0.05). Thus, patients with no response regarding post-surgery AFP levels were associated with poor outcomes.

CONCLUSION

Serum AFP responses are significant prognostic factors for the surgical outcomes of HCC patients, suggesting post-resection AFP levels can direct the management of HCC patients.

Key Words: Risk factors, Prognosis, Alpha-fetoprotein, Hepatocellular carcinoma, Liver neoplasms

Core tip: Alpha-fetoprotein (AFP) is a widely used tumor marker for both pre- and post-treatment hepatocellular carcinoma (HCC) patients. To investigate whether changes in pre- and post-operation serum AFP levels were a predictive prognostic factor in HCC patients, we retrospectively analyzed 334 HCC patients who underwent hepatic resection at our hospital. Serum AFP responses were found to be a significant prognostic factor for surgical outcomes in patients with high pre-operative AFP levels. The non-response group, which was classified as having a < 50% decrease from preoperative AFP levels that were > 20 ng/mL, was associated with poor outcomes. In summary, post-surgery AFP levels are valuable for properly managing HCC patients.



INTRODUCTION

Worldwide, the most common type of primary liver cancer is hepatocellular carcinoma (HCC)[1]. Hepatic resection is potentially curative for early-stage HCC if adequate reserve liver function is present[2]; however, the death rate from HCC remains high due to the high recurrence rate following hepatectomy[3-5]. Recently, a screening program for detecting early-stage disease in high-risk patients was found to improve surgical outcomes[6]. Alpha-fetoprotein (AFP) has been used as a classical marker for HCC[7]. Historically, AFP levels were used to diagnose HCC[8]; however, the current guidelines for the surveillance of high-risk patients includes ultrasonography every 3-6 mo without AFP[9,10]. Although AFP does not currently play a diagnostic role in HCC, it is still a useful marker for estimating the post-surgery follow-up period according to current guidelines[11].

AFP is a large glycoprotein produced by the yolk sac and fetal liver that is present in large quantities during gestation and is generally repressed in healthy adults; however, it is re-expressed in a variety of tumors[12,13]. In Thailand, the only available tumor marker associated with HCC is serum AFP[14]. AFP levels are widely used as a tumor marker for HCC in both pre- and post-treatment cases[15]. Several studies have reported that pre-operative serum AFP levels are a significant prognostic factor for post-treatment survival[16-19]. However, other studies have reported that AFP was not useful for predicting the poor prognosis group among HCC patients[20-22]. Finally, a third set of studies reported that changes in serum AFP better predict prognosis[23-25]; however, we lack a definition of what constitutes a significant change in serum AFP (a response signature) after hepatic resection. The aim of this study is to investigate whether the change in serum AFP levels between pre- and post-operation samples is a predictive factor for the prognosis of HCC patients following hepatic resection.

MATERIALS AND METHODS
Patients and samples

A total of 334 consecutive patients who underwent hepatic resection and had pathologically proven HCC at the Department of Surgery, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand between January 2006 and December 2016 were enrolled in this study. The inclusion criteria are as follows: (1) patients were ≥15-years-old when they underwent hepatic resection; (2) a pathologically confirmed HCC diagnosis was made; and (3) pre- and post-operative AFP data were complete. All patients underwent preoperative cross-sectional dynamic imaging using either triple-phase computed tomography (CT) or magnetic resonance imaging (MRI). Routine blood examinations included complete blood count, coagulogram, liver and kidney function tests, and pre-operative serum AFP levels. A pre-operative indocyanine green retention test at 15 min (ICG-R15) was also performed. The Makuuchi criteria were used to select patients for curative resection[26]. The extent of liver resection was based on the patients’ reserve liver function as assessed mainly by the Makuuchi criteria, including pre-operative ascites volume, Child-Pugh score, ICG-R15 value, and occasionally, volumetric CT analysis. Liver cirrhosis was intraoperatively defined by the macro- or micro-nodular surface of the liver.

The pre-operative serum AFP level (pre-AFP) was defined as the serum AFP level before hepatic resection. The post-operative serum AFP level (post-AFP) was defined as the serum AFP level 1-180 d following resection. For patients who had more than one postoperative serum AFP measurement, the lowest level was used for analyses. Patients whose post-AFP data were missing were excluded from the study. Patients were classified into three groups according to pre- and post-AFP levels: (1) the normal group, pre-AFP ≤ 20 ng/mL and post-AFP ≤ 20 ng/mL; (2) the response group, pre-AFP > 20 ng/mL and post-AFP a decrease of ≥ 50% of pre-AFP; and (3) the non-response group, pre-AFP > 20 ng/mL and post-AFP a decrease of < 50% or higher than pre-AFP level, or any pre-AFP level < 20 ng/mL but post-AFP > 20 ng/mL.

Pathological specimens were reviewed by a pathologist to confirm HCC diagnoses. Patients with combined cholangiocarcinoma and other malignancies were excluded from this study. Microvascular invasion (mVI) was defined as the presence of tumor cells in the microvasculature. Clinical and pathological staging were performed according to the American Joint Committee on Cancer staging manual, 7th edition[27]. Patients were followed up in outpatient clinics every 3-6 mo after surgery and routinely underwent imaging (ultrasonography, CT, MRI) and blood tests. Recurrent disease was defined as the presence of new tumors found by imaging (CT or MRI) during the follow-up period.

Statistical analysis

Patient characteristics with continuous variables were compared using the Student’s t-test, while categorical variables were compared with χ2 or Fisher’s exact tests. A P-value < 0.05 was considered statistically significant. Potential risk factors were analyzed by univariate and multivariate methods using the Cox regression model. Independent risk factors were expressed as hazard ratios (HRs) with 95%CIs. Survival analyses were performed using the Kaplan-Meier method and evaluated with the log-rank test.

RESULTS
Patient demographics

In total 334 patients were analyzed; their mean age at the time of surgery was 50.56 ± 4.03 years, and there were 155 male (46.4%) and 179 female patients. Hepatitis B virus infections were found in 186 patients (55.7%), and hepatitis C virus infections were found in 60 patients (17.96%). The median tumor size was 4.3 cm (range: 0.5-26.5 cm). A single tumor was found in 262 patients (78.4%). Stage I tumors were found in 204 patients (61.1%), and positive margins were found in 18 patients (6.38%; Table 1). When comparing the clinicopathological parameters between the three groups, there were no significant differences regarding age, gender, hepatitis B or C infection, platelet count, median tumor size, number of tumors, mVI, stage, resection margin, or anti-viral treatment.

Table 1 Clinicopathological features of patients in the three alpha-fetoprotein response groups n (%).
Total(n = 334)Normal group(n = 178)Response group(n = 129)Non-response group(n = 27)P value
Gender
Male155 (46.41)86 (48.31)56 (43.41)13 (48.15)0.684
Female179 (53.59)92 (51.69)73 (56.59)14 (51.85)
Age (mean ± SD, yr)58.76 ± 10.0959.94 ± 9.5657.56 ± 10.4356.70 ± 11.160.066
HBV
No148 (44.31)81 (45.51)54 (41.86)13 (48.15)0.749
Yes186 (55.69)97 (54.49)75 (58.14)14 (51.85)
HCV
No274 (82.04)151 (84.83)103 (79.84)20 (74.07)0.283
Yes60 (17.96)27 (15.17)26 (20.16)7 (25.93)
Platelet × 103, median (range), n = 332191 (14, 850)191 (49, 850)193 (14, 690)155 (36, 444)0.361
Tumor size (cm), median (range), n = 3334.3 (0.5, 26.5)4 (0.5, 26.5)5.1 (0.8, 18)4.75 (1.3, 14)0.204
No. of tumors
Single262 (78.44)143 (80.34)99 (76.74)20 (74.07)0.637
Multiple72 (21.56)35 (19.66)30 (23.26)7 (25.93)
mVI
No254 (76.05)142 (79.78)95 (73.64)17 (62.96)0.116
Yes80 (23.95)36 (20.22)34 (26.36)10 (37.04)
Stage
Stage I204 (61.08)114 (64.04)75 (58.14)15 (55.56)0.479
Stage II or higher130 (38.92)64 (35.96)54 (41.86)12 (44.44)
Resection margin n = 282
Free margin264 (93.62)141 (93.38)103 (94.50)20 (90.91)0.808
Positive margin18 (6.38)10 (6.62)6 (5.50)2 (9.09)
Anti-viral treatment
No179 (53.59)92 (51.69)71 (55.04)16 (59.26)0.699
Yes155 (46.41)86 (48.31)58 (44.96)11 (40.74)
Recurrence
No181 (54.19)103 (57.87)69 (53.49)9 (33.33)0.057
Yes153 (45.81)75 (42.13)60 (46.51)18 (66.67)
Death
No282 (84.43)156 (87.64)107 (82.95)19 (70.37)0.059
Yes52 (15.57)22 (12.36)22 (17.05)8 (29.63)
Time follow up (mo), median (range)35.63 (0.56, 176.6)37.96 (0.56, 130.77)35.06 (3.76, 176.60)14.06 (2.83, 140.93)0.007
Risk factors associated with disease recurrence

Next, univariate and multivariate analyses were used to identify risk factors for recurrence-free survival (Table 2); the recurrence rate was 45.81% (153/334 patients). Univariate analyses of the 153 patients with recurrent disease revealed that the following factors were associated with recurrence-free survival: tumor size (HR: 1.05, 95%CI: 1.02-1.10, P < 0.05), multiple tumors (HR: 1.79, 95%CI: 1.26-2.54, P < 0.05), mVI (HR: 1.88, 95%CI: 1.30-2.73, P < 0.05), stage II disease or higher (HR: 1.53, 95%CI: 1.10-2.12, P < 0.05), and the non-response group (HR: 2.438, 95%CI: 1.45-4.08, P < 0.05). Multivariate analyses revealed that multiple tumors (HR: 1.646, 95%CI: 1.15-2.35, P < 0.05), mVI (HR: 1.573, 95%CI: 1.05-2.35, P < 0.05), and the non-response group (HR: 2.425, 95%CI: 1.42-4.13, P < 0.05) were associated with recurrence-free survival.

Table 2 Univariate and multivariate analysis of factors associated with recurrence.
Univariate
Multivariate
HR (95%CI)P valueHR (95%CI)P value
Gender
Male1
Female0.882 (0.64-1.21)0.443
Age (yr)0.997 (0.98-1.01)0.758
HBV
No1
Yes1.079 (0.78-1.49)0.641
HCV
No1
Yes1.373 (0.92-2.05)0.12
Platelet × 1031.002 (0.98-1.02)0.775
Tumor size (cm)1.058 (1.02-1.10)0.0031.040 (0.99-1.08)0.059
No. of tumor
Single11
Multiple1.793 (1.26-2.54)0.0011.646 (1.15-2.35)0.006
mVI
No11
Yes1.889 (1.30-2.73)0.0011.573 (1.05-2.35)0.026
Stage
Stage I1
Stage II or higher1.535 (1.10-2.12)0.01
Resection margin
Free margin1
Positive margin1.359 (0.69-2.67)0.375
Anti-viral treatment
No1
Yes0.935 (0.68-1.28)0.682
AFP
Normal group11
Response group1.137 (0.80-1.59)0.4581.067 (0.75-1.50)0.711
Non-response group2.438 (1.45-4.08)0.0012.425 (1.42-4.13)0.001
Prognostic factors associated with mortality

Univariate and multivariate analyses were also used to identify risk factors for overall survival (Table 3); the overall mortality rate was 15.57% (52/334 patients). Univariate analyses of the 52 patients revealed the following factors were associated with overall survival: multiple tumors (HR: 2.24, 95%CI: 1.27-3.94, P < 0.05), mVI (HR: 3.32, 95%CI: 1.85-5.95), P < 0.05), and the non-response group (HR: 3.63, 95%CI: 1.61-8.18, P < 0.05). Multivariate analyses confirmed these results, showing that multiple tumors (HR: 1.99, 95%CI: 1.12-3.52, P < 0.05), mVI (HR: 3.24, 95%CI: 1.77-5.90, P < 0.05), and the non-response group (HR: 3.62, 95%CI: 1.59-8.21, P < 0.05) were associated with overall survival.

Table 3 Univariate and multivariate analysis of factors associated with overall survival.
Univariate
Multivariate
HR (95%CI)P valueHR (95%CI)P value
Gender
Male1
Female1.083 (0.62-1.88)0.775
Age (yr)0.998 (0.97-1.02)0.905
HBV
No1
Yes1.032 (0.59-1.79)0.909
HCV
No1
Yes1.154 (0.56-2.37)0.696
Platelet × 1031.002 (0.99-1.00)0.117
Tumor size (cm)1.062 (0.99-1.13)0.066
No. of tumor
Single11
Multiple2.240 (1.27-3.94)0.0051.991 (1.12-3.52)0.018
mVI
No11
Yes3.324 (1.85-5.95)03.240 (1.77-5.90)0
Stage
Stage I1
Stage II or higher1.941 (1.11-3.38)0.019
Resection margin
Free margin1
Positive margin2.544 (1.00-6.47)0.05
Anti-viral treatment
No1
Yes0.786 (0.45-1.36)0.392
Recurrence
No1
Yes7.917 (3.56-17.56)0
AFP
Normal group11
Response group1.338 (0.74-2.41)0.3341.168 (0.64-2.12)0.612
Non-response group3.635 (1.61-8.18)0.0023.621 (1.59-8.21)0.002
Analysis of disease-free and overall survival rates with regard to responses in serum AFP levels

Kaplan-Meier survival analyses showed that recurrence-free survival rates according to changes in serum AFP levels in the non-response group were significantly lower than those in the normal and response groups (P < 0.05; Figure 1A). The overall survival rate of the non-response group was also significantly lower than the normal and response groups (P < 0.05; Figure 1B).

Figure 1
Figure 1 Recurrence-free-survival and overall survival rate of hepatocellular carcinoma patients after hepatic resection. A: Kaplan-Meier analysis of recurrence-free survival; B: Kaplan-Meier analysis of overall survival.
Analysis of disease-free and overall survival rates with regard to responses in serum AFP levels regardless of pre-AFP values

To analyze the effect of a 50% decrease from pre-AFP as a measure of responsiveness to treatment alone, patients were classified into the following groups: (1) post-AFP decrease of ≥ 50%; and (2) post-AFP decrease of <50%. Kaplan-Meier survival analyses of recurrence-free and overall survival between the two groups revealed no significant differences (Figure 2).

Figure 2
Figure 2 Recurrence-free-survival and overall survival rate of hepatocellular carcinoma patients after hepatic resection. A: Kaplan-Meier analysis of recurrence-free survival. The graph shows group A (AFP response > 50%) and group B (AFP response < 50%) regardless of pre-operative AFP levels; B: Kaplan-Meier analysis of overall survival. The graph shows group A (AFP response > 50%) and group B (AFP response < 50%) regardless of pre-operative AFP levels. AFP: Alpha-fetoprotein.
DISCUSSION

AFP was one of the first discovered tumor protein markers and belongs to the family of serum albumins. There are three major families of AFP glycoforms: AFP-L1, AFP-L2 and AFP-L3, which differ in their affinity for the lectin lens culinaris agglutinin and are produced in varying amounts depending on physiological/pathological conditions[28]. Previously, serum AFP levels in combination with abdominal ultrasonography were used to diagnose HCC[7]; however, recent studies have consistently shown that the low sensitivity of serum AFP and its high false-negative rate, resulting in impaired HCC diagnoses[29,30]. Currently, AFP levels are not considered a tumor marker for diagnosing HCC in guidelines[10,11,31]. Current guideline reported the data available show that the biomarkers tests are suboptimal in terms of cost-effectiveness for routine surveillance of early HCC[10]. However, the National Comprehensive Cancer Network and the Liver Cancer Study Group of Japan guidelines still recommended that serum AFP in combination with abdominal ultrasonography be used for HCC screening[31,32].

The HCC serum tumor markers that are currently used to evaluate disease prognosis are AFP, protein induced by vitamin K absence-II and AFP-L3[33]. However, in Thailand, the only available serum tumor marker is AFP[15]. Serum AFP level is one of the serum markers previously studied in HCC patients following hepatic resection[23,34,35]. Many studies have reported that high pre-AFP was a poor predictive factor in HCC patients following hepatic resection, liver transplantation, and local ablation[16,36,37]. However, the most recent studies have reported that the change in AFP values between pre- and post-treatment samples better predicted surgical outcomes[23,24,37]. However, there are studies that reported negative results regarding associations between serum AFP levels and the prognosis of HCC patients following hepatic resection[20-22,38]. Our univariate and multivariate analyses showed that being in the non-response group was an independent factor for poor overall and recurrence-free survival. Additionally, these analyses revealed two other independent risk factors for poor overall and recurrence-free survival: multiple tumors and mVI. These factors were previously reported to be histologic features associated with poor surgical outcomes in HCC patients[39-44].

In our study, the non-response group was defined as pre-AFP > 20 ng/mL and post-AFP a decrease of < 50% or greater than pre-AFP and patients who had pre-AFP < 20 ng/mL and post-AFP > 20 ng/mL. Bjerner et al[45] reported the AFP reference intervals in 498 healthy individuals from the Nordic region reference interval project and found that the normal range of the serum AFP was not greater than 20 ng/mL. Zhou et al[46] reported that the pre-AFP cut-off value of 20 ng/mL had significant prognostic impact for both overall and tumor-free survival, whereas < 400 ng/mL did not. Silva et al[47] reported the prognostic utility of baseline AFP for 41,107 HCC patients, and baseline AFP < 20 ng/mL showed the highest median overall survival compared with the higher AFP groups. From these, we classified our patients using the pre-operative cut-off value of 20 ng/mL. For the post-AFP level, there are many previous studies that have reported various post-operative cut-off or response values[20,23,24,48,49]. Some studies have consistently reported that a treatment response is indicated by a post-AFP decrease of > 50%[23,50,51]. Riaz et al[50] reported that HCC patients who had baseline AFP >200 ng/mL and underwent locoregional therapy and those who had a > 50% decrease from baseline after treatment had better outcomes. Memon et al[51] investigated 629 HCC patients who underwent transarterial locoregional therapies and found that the AFP response group could be defined as those with serum AFP decreases of > 50% compared with baseline had favorable outcomes that correlated with the European Association for the Study of the Liver and World Health Organization response criteria. According to these studies, we used the definition of response as a ≥ 50% decrease of pre-AFP levels.

Survival analysis between the three groups showed that the non-response group had significantly poorer prognoses compared with the normal and response groups. Moreover, the normal group, which still had normal AFP levels after hepatic resection, and the group with post-AFP decreases of < 50% had better prognoses than the high pre-AFP group, which is consistent with previous studies. Shen et al[23] reported a study of HCC patients beyond the Milan criteria and also stratified patients by pre-AFP > 20 ng/mL following hepatectomy; they found that the group who had decreased AFP by < 50% following hepatectomy had a poorer prognosis compared with the normal or decrease >50% groups[23]. Toyoda et al[49] reported a study of serum tumor marker changes in HCC patients after hepatectomy and found that patients who had elevated pre-AFP and post-AFP following hepectomy had significantly lower survival rates than the other groups. Kao et al[52] reported AFP responses in HCC patients who had pre-AFP levels ≥ 100 ng/mL and underwent radiofrequency ablation, finding that patients who had post-AFP decreases of < 20% had significantly lower overall rates.

High AFP levels are strongly associated with the disease burden and aggressiveness due to extrahepatic metastasis, advanced stage, large tumors, portal vein thrombosis and poorly differentiated cells[18,47,53]. Recently, patients with high post-AFP levels were called “non-responders”, indicating that either surgical resection was incomplete or that there were either intra- or extra-hepatic occult metastases[17,37,54]. Recently, Lu et al[55] reported that the molecular mechanism underlying how AFP promotes HCC metastasis was via activating PI3K/AKT signaling. They concluded that AFP overexpression in HCC cells was related to metastatic characteristics in human HCC patients and plays a critical role in promoting the invasion and distant metastasis of HCC cells by up-regulating the expression of metastasis-related proteins[55]. In viral hepatitis-related HCC patients, the chronic hepatitis background is associated with high serum AFP levels. Ogden et al[56] and Sung et al[57] reported that the hepatitis B protein HBx dysregulates p53-mediated AFP expression via directly binding to p53, and that high hepatitis B virus integration into the host genome was correlated with high serum AFP levels. These data highlight the importance of AFP as a factor that promotes carcinogenesis by the following pathways: (1) stimulating cell proliferation, silencing AFP causes the accumulation of HCC cells at the G1-S transition; (2) promoting cell motility and the invasive growth of some HCC cell lines in vitro, and promoting metastases in a xenograft tumor model; and (3) acting as a growth factor that is secreted into the medium by cancer cells[28].

This study had several limitations. First, it was retrospective in nature. Second, the population studied was small. Some patients who underwent preoperative transarterial chemoembolization could interfere with the pre-AFP levels. Third, some patients, especially in the early period of the study, were not treated with anti-viral drugs for unknown reasons. Fourth, there is lack of consensus for timing the measurement of post-AFP levels. Fifth, a number of studies have indicated that biomarkers such as protein induced by vitamin K absence-II, des-gamma carboxyprothrombin and AFP-L3, may be more accurate prognostic biomarkers than AFP; however, these tumor markers are not currently measured in our hospital. Sixth, the post-AFP level period was 1-180 d following hepatic resection which represents a large period of time that could lead to some selection bias.

AFP is a multifaceted serum tumor marker in HCC. Serum AFP responsiveness was found to be a significant prognostic factor for surgical outcomes in the high pre-AFP group, and non-responsive patients were associated with poor outcomes. AFP levels following hepatic resection have important roles in managing HCC patients.

ARTICLE HIGHLIGHTS
Research background

Historically, alpha-fetoprotein (AFP) levels were used to diagnose hepatocellular carcinoma (HCC); however, the current guidelines for the surveillance of high-risk patients include ultrasonography every 3-6 mo without AFP. Although AFP does not currently play a diagnostic role in HCC, it is still a useful marker for estimating the post-surgery follow-up period according to current guidelines.

Research motivation

AFP levels are widely used as a tumor marker for HCC in both pre- and post-treatment cases. Several studies have reported that pre-operative serum AFP levels are a significant prognostic factor for post-treatment survival. However, other studies have reported that AFP was not useful for predicting the poor prognosis group among HCC patients. Finally, a third set of studies reported that changes in serum AFP better predict prognosis; however, we lack a definition of what constitutes a significant change in serum AFP (a response signature) after hepatic resection.

Research objectives

To investigate whether the change in pre-/post-operation AFP levels is a predictive factor for HCC outcomes.

Research methods

We retrospectively analyzed 334 HCC patients who underwent hepatic resection at Ramathibodi hospital, Thailand between January 2006 and December 2016. The patients were classified into three groups according to their change in serum AFP levels: (1) the normal group, pre-operative serum AFP level (pre-AFP) ≤ 20 ng/mL and post-operative serum AFP level (post-AFP) ≤ 20 ng/mL; (2) the response group, pre-AFP > 20 ng/mL and post-AFP decrease of ≥ 50% of pre-AFP; and (3) the non-response group, pre-AFP level > 20 ng/mL and post-AFP decrease of < 50% or higher than pre-AFP level, or any pre-AFP level < 20 ng/mL but post-AFP > 20 ng/mL.

Research results

Univariate and multivariate analyses revealed that multiple tumors [hazard ratio (HR): 1.646, 95%CI: 1.15-2.35, P < 0.05], microvascular invasion (mVI) (HR: 1.573, 95%CI: 1.05-2.35, P < 0.05), and the non-response group (HR: 2.425, 95%CI: 1.42-4.13, P < 0.05) were significant independent risk factors for recurrence-free survival. Similarly, multiple tumors (HR: 1.99, 95%CI: 1.12-3.52, P < 0.05), mVI (HR: 3.24, 95%CI: 1.77-5.90, P < 0.05), and the non-response group (HR: 3.62, 95%CI: 1.59-8.21, P < 0.05) were also significant independent risk factors for overall survival. The non-response group had significantly lower overall survival rates and recurrence-free survival rates than both the normal group and the response group (P < 0.05). Thus, patients with no response regarding post-surgery AFP levels were associated with poor outcomes.

Research conclusions

AFP is a multifaceted serum tumor marker in HCC. Serum AFP responsiveness was found to be a significant prognostic factor for surgical outcomes in the high pre-AFP group, and non-responsive patients were associated with poor outcomes. AFP levels following hepatic resection have important roles in managing HCC patients.

Research perspectives

In the future, the prospective cohort studies in the selected patients group should be conduct to confirmation this hypothesis and the usefulness of the post-operative serum AFP level in the clinical practice.

ACKNOWLEDGMENTS

We thank Mr. Napaphat Poprom for reviewing the biostatistical analysis.

Footnotes

Manuscript source: Invited manuscript

Specialty type: Medicine, research and experimental

Country of origin: Thailand

Peer-review report classification

Grade A (Excellent): A

Grade B (Very good): 0

Grade C (Good): C

Grade D (Fair): D

Grade E (Poor): 0

P- Reviewer: Chedid MF, Dumitraşcu T, Mikulic D S- Editor: Ji FF L- Editor: A E- Editor: Tan WW

References
1.  Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65:87-108.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 18694]  [Cited by in F6Publishing: 20838]  [Article Influence: 2315.3]  [Reference Citation Analysis (2)]
2.  Bruix J, Sherman M; American Association for the Study of Liver Diseases. Management of hepatocellular carcinoma: an update. Hepatology. 2011;53:1020-1022.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5972]  [Cited by in F6Publishing: 6341]  [Article Influence: 487.8]  [Reference Citation Analysis (1)]
3.  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;89:500-507.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 13]  [Reference Citation Analysis (0)]
4.  Kaibori M, Ishizaki M, Saito T, Matsui K, Kwon AH, Kamiyama Y. Risk factors and outcome of early recurrence after resection of small hepatocellular carcinomas. Am J Surg. 2009;198:39-45.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 37]  [Cited by in F6Publishing: 40]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
5.  Lee EC, Kim SH, Park H, Lee SD, Lee SA, Park SJ. Survival analysis after liver resection for hepatocellular carcinoma: A consecutive cohort of 1002 patients. J Gastroenterol Hepatol. 2017;32:1055-1063.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 35]  [Cited by in F6Publishing: 35]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
6.  Bruix J, Reig M, Sherman M. Evidence-Based Diagnosis, Staging, and Treatment of Patients With Hepatocellular Carcinoma. Gastroenterology. 2016;150:835-853.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1024]  [Cited by in F6Publishing: 1163]  [Article Influence: 145.4]  [Reference Citation Analysis (1)]
7.  Zhao YJ, Ju Q, Li GC. Tumor markers for hepatocellular carcinoma. Mol Clin Oncol. 2013;1:593-598.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 157]  [Cited by in F6Publishing: 171]  [Article Influence: 15.5]  [Reference Citation Analysis (0)]
8.  Bruix J, Sherman M; Practice Guidelines Committee, American Association for the Study of Liver Diseases. Management of hepatocellular carcinoma. Hepatology. 2005;42:1208-1236.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4333]  [Cited by in F6Publishing: 4404]  [Article Influence: 231.8]  [Reference Citation Analysis (0)]
9.  Sherman M, Bruix J, Porayko M, Tran T; AASLD Practice Guidelines Committee. Screening for hepatocellular carcinoma: the rationale for the American Association for the Study of Liver Diseases recommendations. Hepatology. 2012;56:793-796.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 108]  [Cited by in F6Publishing: 118]  [Article Influence: 9.8]  [Reference Citation Analysis (0)]
10.  European Association for the Study of the Liver. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma. J Hepatol. 2018;pii:S0168-8278(18)30215-0.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3934]  [Cited by in F6Publishing: 4906]  [Article Influence: 817.7]  [Reference Citation Analysis (0)]
11.  Heimbach JK, Kulik LM, Finn RS, Sirlin CB, Abecassis MM, Roberts LR, Zhu AX, Murad MH, Marrero JA. AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology. 2018;67:358-380.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2107]  [Cited by in F6Publishing: 2578]  [Article Influence: 429.7]  [Reference Citation Analysis (2)]
12.  Gillespie JR, Uversky VN. Structure and function of alpha-fetoprotein: a biophysical overview. Biochim Biophys Acta. 2000;1480:41-56.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 66]  [Cited by in F6Publishing: 70]  [Article Influence: 2.9]  [Reference Citation Analysis (0)]
13.  Mizejewski GJ. Alpha-fetoprotein structure and function: relevance to isoforms, epitopes, and conformational variants. Exp Biol Med (Maywood). 2001;226:377-408.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 179]  [Cited by in F6Publishing: 186]  [Article Influence: 8.1]  [Reference Citation Analysis (0)]
14.  Rungsakulkij N, Keeratibharat N, Suragul W, Tangtawee P, Muangkaew P, Mingphruedhi S, Aeesoa S. Early recurrence risk factors for hepatocellular carcinoma after hepatic resection: Experience at a thai tertiary care center. J Med Assoc Thai. 2018;101:63-69.  [PubMed]  [DOI]  [Cited in This Article: ]
15.  Tangkijvanich P, Anukulkarnkusol N, Suwangool P, Lertmaharit S, Hanvivatvong O, Kullavanijaya P, Poovorawan Y. Clinical characteristics and prognosis of hepatocellular carcinoma: analysis based on serum alpha-fetoprotein levels. J Clin Gastroenterol. 2000;31:302-308.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 212]  [Cited by in F6Publishing: 229]  [Article Influence: 9.5]  [Reference Citation Analysis (0)]
16.  Toyoda H, Kumada T, Kaneoka Y, Osaki Y, Kimura T, Arimoto A, Oka H, Yamazaki O, Manabe T, Urano F. Prognostic value of pretreatment levels of tumor markers for hepatocellular carcinoma on survival after curative treatment of patients with HCC. J Hepatol. 2008;49:223-232.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 70]  [Cited by in F6Publishing: 73]  [Article Influence: 4.6]  [Reference Citation Analysis (0)]
17.  Kim HS, Park JW, Jang JS, Kim HJ, Shin WG, Kim KH, Lee JH, Kim HY, Jang MK. Prognostic values of alpha-fetoprotein and protein induced by vitamin K absence or antagonist-II in hepatitis B virus-related hepatocellular carcinoma: a prospective study. J Clin Gastroenterol. 2009;43:482-488.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 47]  [Cited by in F6Publishing: 50]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
18.  Liu C, Xiao GQ, Yan LN, Li B, Jiang L, Wen TF, Wang WT, Xu MQ, Yang JY. Value of α-fetoprotein in association with clinicopathological features of hepatocellular carcinoma. World J Gastroenterol. 2013;19:1811-1819.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 89]  [Cited by in F6Publishing: 88]  [Article Influence: 8.0]  [Reference Citation Analysis (0)]
19.  Yang SL, Liu LP, Yang S, Liu L, Ren JW, Fang X, Chen GG, Lai PB. Preoperative serum α-fetoprotein and prognosis after hepatectomy for hepatocellular carcinoma. Br J Surg. 2016;103:716-724.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 41]  [Cited by in F6Publishing: 76]  [Article Influence: 9.5]  [Reference Citation Analysis (0)]
20.  Nanashima A, Taura N, Abo T, Ichikawa T, Sakamoto I, Nagayasu T, Nakao K. Tumor marker levels before and after curative treatment of hepatocellular carcinoma as predictors of patient survival. Dig Dis Sci. 2011;56:3086-3100.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 21]  [Article Influence: 1.6]  [Reference Citation Analysis (0)]
21.  Toro A, Ardiri A, Mannino M, Arcerito MC, Mannino G, Palermo F, Bertino G, Di Carlo I. Effect of pre- and post-treatment α-fetoprotein levels and tumor size on survival of patients with hepatocellular carcinoma treated by resection, transarterial chemoembolization or radiofrequency ablation: a retrospective study. BMC Surg. 2014;14:40.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 45]  [Cited by in F6Publishing: 47]  [Article Influence: 4.7]  [Reference Citation Analysis (0)]
22.  Shim JH, Yoon DL, Han S, Lee YJ, Lee SG, Kim KM, Lim YS, Lee HC, Chung YH, Lee YS. Is serum alpha-fetoprotein useful for predicting recurrence and mortality specific to hepatocellular carcinoma after hepatectomy? A test based on propensity scores and competing risks analysis. Ann Surg Oncol. 2012;19:3687-3696.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 35]  [Cited by in F6Publishing: 41]  [Article Influence: 3.4]  [Reference Citation Analysis (0)]
23.  Shen JY, Li C, Wen TF, Yan LN, Li B, Wang WT, Yang JY, Xu MQ. Alpha fetoprotein changes predict hepatocellular carcinoma survival beyond the Milan criteria after hepatectomy. J Surg Res. 2017;209:102-111.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 25]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
24.  Allard MA, Sa Cunha A, Ruiz A, Vibert E, Sebagh M, Castaing D, Adam R. The postresection alpha-fetoprotein in cirrhotic patients with hepatocellular carcinoma. An independent predictor of outcome. J Gastrointest Surg. 2014;18:701-708.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10]  [Cited by in F6Publishing: 10]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
25.  Zhang XF, Yin ZF, Wang K, Zhang ZQ, Qian HH, Shi LH. Changes of serum alpha-fetoprotein and alpha-fetoprotein-L3 after hepatectomy for hepatocellular carcinoma: prognostic significance. Hepatobiliary Pancreat Dis Int. 2012;11:618-623.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 9]  [Cited by in F6Publishing: 10]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
26.  Miyagawa S, Makuuchi M, Kawasaki S, Kakazu T. Criteria for safe hepatic resection. Am J Surg. 1995;169:589-594.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 248]  [Cited by in F6Publishing: 252]  [Article Influence: 8.7]  [Reference Citation Analysis (0)]
27.  Compton CC, Byrd DR, Garciaaguilar J, Kurtzman SH, Olawaiye A.  AJCC Cancer Staging Atlas: A Companion to the Seventh Editions of the AJCC Cancer Staging Manual and Handbook. New York: American Joint Committee on Cancer and Springer 2012; .  [PubMed]  [DOI]  [Cited in This Article: ]
28.  Sauzay C, Petit A, Bourgeois AM, Barbare JC, Chauffert B, Galmiche A, Houessinon A. Alpha-foetoprotein (AFP): A multi-purpose marker in hepatocellular carcinoma. Clin Chim Acta. 2016;463:39-44.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 125]  [Cited by in F6Publishing: 149]  [Article Influence: 18.6]  [Reference Citation Analysis (0)]
29.  Wong RJ, Ahmed A, Gish RG. Elevated alpha-fetoprotein: differential diagnosis - hepatocellular carcinoma and other disorders. Clin Liver Dis. 2015;19:309-323.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 86]  [Cited by in F6Publishing: 89]  [Article Influence: 9.9]  [Reference Citation Analysis (0)]
30.  Forner A, Reig M, Bruix J. Hepatocellular carcinoma. Lancet. 2018;391:1301-1314.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2800]  [Cited by in F6Publishing: 3387]  [Article Influence: 564.5]  [Reference Citation Analysis (3)]
31.  Omata M, Cheng AL, Kokudo N, Kudo M, Lee JM, Jia J, Tateishi R, Han KH, Chawla YK, Shiina S. Asia-Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update. Hepatol Int. 2017;11:317-370.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 986]  [Cited by in F6Publishing: 1344]  [Article Influence: 192.0]  [Reference Citation Analysis (0)]
32.  Benson AB 3rd, Abrams TA, Ben-Josef E, Bloomston PM, Botha JF, Clary BM, Covey A, Curley SA, D’Angelica MI, Davila R, Ensminger WD, Gibbs JF, Laheru D, Malafa MP, Marrero J, Meranze SG, Mulvihill SJ, Park JO, Posey JA, Sachdev J, Salem R, Sigurdson ER, Sofocleous C, Vauthey JN, Venook AP, Goff LW, Yen Y, Zhu AX. NCCN clinical practice guidelines in oncology: hepatobiliary cancers. J Natl Compr Canc Netw. 2009;7:350-391.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 322]  [Cited by in F6Publishing: 404]  [Article Influence: 26.9]  [Reference Citation Analysis (0)]
33.  Bertino G, Ardiri A, Malaguarnera M, Malaguarnera G, Bertino N, Calvagno GS. Hepatocellualar carcinoma serum markers. Semin Oncol. 2012;39:410-433.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 111]  [Cited by in F6Publishing: 122]  [Article Influence: 10.2]  [Reference Citation Analysis (0)]
34.  An SL, Xiao T, Wang LM, Rong WQ, Wu F, Feng L, Liu FQ, Tian F, Wu JX. Prognostic Significance of Preoperative Serum Alpha- fetoprotein in Hepatocellular Carcinoma and Correlation with Clinicopathological Factors: a Single-center Experience from China. Asian Pac J Cancer Prev. 2015;16:4421-4427.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 16]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
35.  Ma WJ, Wang HY, Teng LS. Correlation analysis of preoperative serum alpha-fetoprotein (AFP) level and prognosis of hepatocellular carcinoma (HCC) after hepatectomy. World J Surg Oncol. 2013;11:212.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 102]  [Cited by in F6Publishing: 127]  [Article Influence: 11.5]  [Reference Citation Analysis (0)]
36.  Masuda T, Beppu T, Horino K, Komori H, Hayashi H, Okabe H, Otao R, Horlad H, Ishiko T, Takamori H. Preoperative tumor marker doubling time is a useful predictor of recurrence and prognosis after hepatic resection of hepatocellular carcinoma. J Surg Oncol. 2010;102:490-496.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 19]  [Cited by in F6Publishing: 19]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
37.  Zhang Q, Shang L, Zang Y, Chen X, Zhang L, Wang Y, Wang L, Liu Y, Mao S, Shen Z. α-Fetoprotein is a potential survival predictor in hepatocellular carcinoma patients with hepatitis B selected for liver transplantation. Eur J Gastroenterol Hepatol. 2014;26:544-552.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 9]  [Cited by in F6Publishing: 10]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
38.  Giannini EG, Marenco S, Borgonovo G, Savarino V, Farinati F, Del Poggio P, Rapaccini GL, Anna Di Nolfo M, Benvegnù L, Zoli M, Borzio F, Caturelli E, Chiaramonte M, Trevisani F; Italian Liver Cancer (ITA. LI.CA) group. Alpha-fetoprotein has no prognostic role in small hepatocellular carcinoma identified during surveillance in compensated cirrhosis. Hepatology. 2012;56:1371-1379.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 90]  [Cited by in F6Publishing: 111]  [Article Influence: 9.3]  [Reference Citation Analysis (0)]
39.  Hao S, Fan P, Chen S, Tu C, Wan C. Distinct Recurrence Risk Factors for Intrahepatic Metastasis and Multicenter Occurrence After Surgery in Patients with Hepatocellular Carcinoma. J Gastrointest Surg. 2017;21:312-320.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 27]  [Cited by in F6Publishing: 29]  [Article Influence: 4.1]  [Reference Citation Analysis (0)]
40.  Cucchetti A, Piscaglia F, Grigioni AD, Ravaioli M, Cescon M, Zanello M, Grazi GL, Golfieri R, Grigioni WF, Pinna AD. Preoperative prediction of hepatocellular carcinoma tumour grade and micro-vascular invasion by means of artificial neural network: a pilot study. J Hepatol. 2010;52:880-888.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 130]  [Cited by in F6Publishing: 149]  [Article Influence: 10.6]  [Reference Citation Analysis (0)]
41.  Shah SA, Greig PD, Gallinger S, Cattral MS, Dixon E, Kim RD, Taylor BR, Grant DR, Vollmer CM. Factors associated with early recurrence after resection for hepatocellular carcinoma and outcomes. J Am Coll Surg. 2006;202:275-283.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 179]  [Cited by in F6Publishing: 199]  [Article Influence: 10.5]  [Reference Citation Analysis (0)]
42.  Rodríguez-Perálvarez M, Luong TV, Andreana L, Meyer T, Dhillon AP, Burroughs AK. A systematic review of microvascular invasion in hepatocellular carcinoma: diagnostic and prognostic variability. Ann Surg Oncol. 2013;20:325-339.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 352]  [Cited by in F6Publishing: 386]  [Article Influence: 32.2]  [Reference Citation Analysis (0)]
43.  Huang G, Lau WY, Zhou WP, Shen F, Pan ZY, Yuan SX, Wu MC. Prediction of Hepatocellular Carcinoma Recurrence in Patients With Low Hepatitis B Virus DNA Levels and High Preoperative Hepatitis B Surface Antigen Levels. JAMA Surg. 2014;149:519-527.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 33]  [Cited by in F6Publishing: 35]  [Article Influence: 3.9]  [Reference Citation Analysis (0)]
44.  Park JH, Koh KC, Choi MS, Lee JH, Yoo BC, Paik SW, Rhee JC, Joh JW. Analysis of risk factors associated with early multinodular recurrences after hepatic resection for hepatocellular carcinoma. Am J Surg. 2006;192:29-33.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 77]  [Cited by in F6Publishing: 87]  [Article Influence: 4.8]  [Reference Citation Analysis (0)]
45.  Bjerner J, Høgetveit A, Wold Akselberg K, Vangsnes K, Paus E, Bjøro T, Børmer OP, Nustad K. Reference intervals for carcinoembryonic antigen (CEA), CA125, MUC1, Alfa-foeto-protein (AFP), neuron-specific enolase (NSE) and CA19.9 from the NORIP study. Scand J Clin Lab Invest. 2008;68:703-713.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 30]  [Cited by in F6Publishing: 32]  [Article Influence: 2.1]  [Reference Citation Analysis (0)]
46.  Zhou L, Rui JA, Wang SB, Chen SG, Qu Q. The significance of serum AFP cut-off values, 20 and 400 ng/mL in curatively resected patients with hepatocellular carcinoma and cirrhosis might be of difference. Hepatogastroenterology. 2012;59:840-843.  [PubMed]  [DOI]  [Cited in This Article: ]
47.  Silva JP, Gorman RA, Berger NG, Tsai S, Christians KK, Clarke CN, Mogal H, Gamblin TC. The prognostic utility of baseline alpha-fetoprotein for hepatocellular carcinoma patients. J Surg Oncol. 2017;116:831-840.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 25]  [Article Influence: 3.6]  [Reference Citation Analysis (0)]
48.  Blank S, Wang Q, Fiel MI, Luan W, Kim KW, Kadri H, Mandeli J, Hiotis SP. Assessing prognostic significance of preoperative alpha-fetoprotein in hepatitis B-associated hepatocellular carcinoma: normal is not the new normal. Ann Surg Oncol. 2014;21:986-994.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 30]  [Cited by in F6Publishing: 36]  [Article Influence: 3.6]  [Reference Citation Analysis (0)]
49.  Toyoda H, Kumada T, Tada T, Ito T, Maeda A, Kaneoka Y, Kagebayashi C, Satomura S. Changes in highly sensitive alpha-fetoprotein for the prediction of the outcome in patients with hepatocellular carcinoma after hepatectomy. Cancer Med. 2014;3:643-651.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 9]  [Cited by in F6Publishing: 9]  [Article Influence: 0.9]  [Reference Citation Analysis (0)]
50.  Riaz A, Ryu RK, Kulik LM, Mulcahy MF, Lewandowski RJ, Minocha J, Ibrahim SM, Sato KT, Baker T, Miller FH. Alpha-fetoprotein response after locoregional therapy for hepatocellular carcinoma: oncologic marker of radiologic response, progression, and survival. J Clin Oncol. 2009;27:5734-5742.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 165]  [Cited by in F6Publishing: 171]  [Article Influence: 11.4]  [Reference Citation Analysis (0)]
51.  Memon K, Kulik L, Lewandowski RJ, Wang E, Ryu RK, Riaz A, Nikolaidis P, Miller FH, Yaghmai V, Baker T. Alpha-fetoprotein response correlates with EASL response and survival in solitary hepatocellular carcinoma treated with transarterial therapies: a subgroup analysis. J Hepatol. 2012;56:1112-1120.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 67]  [Cited by in F6Publishing: 73]  [Article Influence: 6.1]  [Reference Citation Analysis (0)]
52.  Kao WY, Chiou YY, Hung HH, Su CW, Chou YH, Wu JC, Huo TI, Huang YH, Wu WC, Lin HC. Serum alpha-fetoprotein response can predict prognosis in hepatocellular carcinoma patients undergoing radiofrequency ablation therapy. Clin Radiol. 2012;67:429-436.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 32]  [Cited by in F6Publishing: 41]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
53.  Li P, Wang SS, Liu H, Li N, McNutt MA, Li G, Ding HG. Elevated serum alpha fetoprotein levels promote pathological progression of hepatocellular carcinoma. World J Gastroenterol. 2011;17:4563-4571.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 41]  [Cited by in F6Publishing: 45]  [Article Influence: 3.5]  [Reference Citation Analysis (0)]
54.  Cai ZQ, Si SB, Chen C, Zhao Y, Ma YY, Wang L, Geng ZM. Analysis of prognostic factors for survival after hepatectomy for hepatocellular carcinoma based on a Bayesian network. PLoS One. 2015;10:e0120805.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 22]  [Cited by in F6Publishing: 22]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
55.  Lu Y, Zhu M, Li W, Lin B, Dong X, Chen Y, Xie X, Guo J, Li M. Alpha fetoprotein plays a critical role in promoting metastasis of hepatocellular carcinoma cells. J Cell Mol Med. 2016;20:549-558.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 65]  [Cited by in F6Publishing: 86]  [Article Influence: 10.8]  [Reference Citation Analysis (0)]
56.  Ogden SK, Lee KC, Barton MC. Hepatitis B viral transactivator HBx alleviates p53-mediated repression of alpha-fetoprotein gene expression. J Biol Chem. 2000;275:27806-27814.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 44]  [Cited by in F6Publishing: 54]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
57.  Sung WK, Zheng H, Li S, Chen R, Liu X, Li Y, Lee NP, Lee WH, Ariyaratne PN, Tennakoon C. Genome-wide survey of recurrent HBV integration in hepatocellular carcinoma. Nat Genet. 2012;44:765-769.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 619]  [Cited by in F6Publishing: 660]  [Article Influence: 55.0]  [Reference Citation Analysis (0)]