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Cancer Management and Research logoLink to Cancer Management and Research
. 2020 Jul 30;12:6597–6606. doi: 10.2147/CMAR.S261368

Prognosis Factors of Young Patients Undergoing Curative Resection for Hepatitis B Virus-Related Hepatocellular Carcinoma: A Multicenter Study

Jianxing Zeng 1,2,3,*, Kongying Lin 3,*, Huocheng Liu 1,*, Yao Huang 1,2,3, Pengfei Guo 4, Yongyi Zeng 1,2,3, Jinhua Zeng 1,2,3, Jingfeng Liu 1,2,3,
PMCID: PMC7425652  PMID: 32848453

Abstract

Background

The prognosis of young and older patients with hepatocellular carcinoma (HCC) is controversial. We aim to compare the clinicopathological features and prognosis of young (age ≤40 years) versus older patients (aged >40 years) with hepatitis B virus (HBV)-related HCC after curative resection.

Methods

A total of 4504 patients with HBV-related HCC who underwent curative resection were included in this study and divided into young group (n=699) and older group (n=3805). Subgroup analyses were conducted to compare. Independent risk factors were identified by Cox regression analysis.

Results

Young patients had better ALBI grade, lower rates of liver cirrhosis, higher rates of elevated serum AFP levels, larger tumor size, higher rates of microvascular invasion and macrovascular invasion, higher rates of Edmondson grade III–IV, lower rates of tumor capsular, more advanced AJCC TNM stages and more advanced BCLC stages than older patients (All p<0.05). Meanwhile, young patients had a worse overall survival (OS) rate (p=0.0091) and a worse recurrence-free survival (RFS) rate (p=0.045) than older patients. Multivariate analysis revealed that AFP, resection margin, tumor size, tumor capsular, and macrovascular invasion were associated with OS. The independent risk factors associated with RFS were ALB, tumor size, microvascular invasion, and macrovascular invasion.

Conclusion

Young patients had better liver function, more aggressive tumor characteristics, and worse prognosis than older patients. A tumor size of ≥5 cm and macrovascular invasion were associated with poor OS and RFS in young patients. If tumors could be detected at the early stage by more frequent surveillance, long-term survival can be expected in the young patients.

Keywords: hepatocellular carcinoma, young, older, hepatectomy, prognosis

Introduction

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide.1 Patients with hepatitis B virus (HBV) infection are one of the major risk factors for the development of HCC, particularly those with chronic liver disease and cirrhosis.2 It is associated with 70–90% of patients with HCC in the highly endemic Asia-Pacific region, particularly in China.3 There are various kinds of treatments for HBV-related HCC, such as liver resection, liver transplantation, transarterial chemoembolization, radiofrequency ablation, etc.4 Liver resection is a mainstay of treatment for HBV-related HCC patients.5

With the development of modern medical technology and screening programs, HBV-related HCC is detected to be getting younger.2,6,7 However, a limited number of studies have reported the prognosis of young HBV-related HCC patients and the conclusions are variable. Some authors have found that young patients have better long-term outcomes,810 whereas others have reported that young patients have advanced tumor factors, thereby indicating a poor prognosis.11,12 Several studies have demonstrated that the long-term outcomes after HCC resection are similar between young and older groups.1315 Most of these studies enrolled less than 100 patients investigated the prognosis of young HCC patients. Hence, it remains controversial whether the prognosis of HCC in young patients is different from that in older patients.

To address this issue, we conducted a large multicenter study to compare the clinicopathological features and the prognosis of young patients (age ≤40 years) versus older patients (aged >40 years) with HBV-related HCC after curative resection.

Methods

Patients and Study Design

This study was approved by the institutional ethics committee of Mengchao Hepatobiliary Hospital of Fujian Medical University (NO.:2019_069_01). Informed consent was obtained from each patient for their data to be used for research purposes. HBV-related HCC patients who underwent liver resection between January 2008 and December 2015 were extracted from primary liver cancer big data by an IT engineer, and then were verified by two researchers (Dr. Jianxing Zeng and Dr. Kongying Lin) in this study.

The inclusion criteria included: (1) 0 to 1 score of performance status,16 (2) positive hepatitis B surface antigen (HBsAg) and negative hepatitis C antibody, (3) no evidence of extrahepatic metastasis, (4) no history of preoperative anticancer treatment, (5) no history of other malignancies, and (6) curative resection with tumor-negative resection margins (R0 resection).17 Patients who received palliative tumor resection, received recurrent tumor resection, had incomplete clinical data, died of severe surgical complications, and lost to follow-up within 60 days after discharge were excluded.

All patients received routine serological examination including white blood cell, platelet count, total bilirubin, albumin, alpha-fetoprotein (AFP), hepatitis B virus and hepatitis C virus immunology, and HBV deoxyribonucleic acid (HBV-DNA) load. Imaging studies included chest radiography, abdominal ultrasonography, and contrast-enhanced computed tomography (CT)/magnetic resonance imaging (MRI) of the abdomen.

Histopathological study of the resected specimens was performed independently by three pathologists who came to a consensus by discussion if there was any controversy. Histologic grading of HCC was based on the Edmondson-Steiner classification.18 The criterion of the American Association for the Study of Liver Diseases was used for pre-operative clinical diagnosis of HCC.19 All patients were staged using the American Joint Committee on Cancer (AJCC) staging system and Barcelona Clinic Liver Cancer (BCLC) staging system.20,21

Follow-Up

Patients were followed up once every 3 months for the first 2 years after discharge from hospitals and every 3–6 months in subsequent years. The follow-up program included liver function, AFP level, and abdominal ultrasound. Contrast-enhanced CT or MRI was performed when tumor recurrence was clinically suspected. The diagnostic criteria for tumor recurrence were the same as for the initial diagnosis. The follow-up was censored on 31st October 2018.

The end-points of the study were overall survival (OS) and recurrence-free survival (RFS). OS was defined as the interval between the date of surgery and the date of patient death or the date of last follow-up. RFS was the interval between the date of surgery and the date when tumor recurrence was diagnosed or the date of patient death or the date of last follow-up.

Statistical Analysis

The age cut-off of 40 years was based on previous studies.2,12,13,2225 We defined young patients as aged ≤40 years and older patients as aged >40 years. The clinicopathological features and the prognosis in young patients were compared with those in older patients.

Categorical variables were grouped on the basis of a normal reference value or clinical judgment. The albumin-bilirubin (ALBI) grade was calculated by the formula, 0.66 × log10 (bilirubin, μmol/L)-0.085Inline graphic(albumin, g/l).26 According to previously described cut-off resulting in 2 grades: ALBI grade 1 (≤-2.60), grade 2 (>-2.60 to-1.39) and grade 3 (>-1.39). ALBI grade 2 and ALBI grade 3 were group together due to the low sample size in the latter. The results were compared using the chi-square test or Fisher exact test. Continuous variables were compared using the Student’s t-test or Mann–Whitney U-test for variables with an abnormal distribution.

Kaplan-Meier method was used to estimate OS and RFS rates, and the difference between the two groups was analyzed by the Log rank test. Univariate and multivariate Cox proportional hazard regression was performed to detect the independent factors of OS and RFS. Subgroup analysis was conducted based on the univariate Cox model and the forest plot of subgroup analysis was depicted with each estimated HRs and 95% CI. All statistical tests were 2-tailed and a p-value of less than 0.05 was considered statistically significant. All statistical analysis was performed with R version 3.5.2 (http://www.r-project.org/).

Results

Comparison of Clinicopathological Features Between Young and Older HBV-Related HCC Patients

During the study period, there were a total of 6028 patients with HBV-related HCC who received curative resection. 1524 patients were excluded because of extrahepatic metastasis (n=207), preoperative anticancer treatment (n=464), history of other malignancies (n=56), palliative tumor resection (n=174), recurrent tumor resection (n=256), incomplete clinical data (n=80), perioperative death (n=33), and early lost to follow-up after discharge (n=254). Finally, the study consisted of 4504 patients, which comprises 699 young HCC patients and 3805 older HCC patients. The flow chart of this patient selection is shown in Figure 1.

Figure 1.

Figure 1

The flow chart of selected patients.

Abbreviations: HBV, hepatitis B virus; HCC, hepatocellular carcinoma.

As summarized in Table 1, young patients had higher serum albumin levels (p<0.001), higher platelet counts (p<0.001), better ALBI grade (p<0.001), and lower rates of liver cirrhosis (p=0.001) than older patients. Considering tumor factors, young patients had higher rates of elevated serum AFP levels (p<0.001), larger tumor size (p<0.001), higher rates of microvascular invasion (p<0.001) and macrovascular invasion (p<0.001), higher rates of Edmondson grade III–IV (p=0.01), lower rates of tumor capsular (p=0.025), more advanced AJCC TNM stages (p<0.001) and more advanced BCLC stages (p<0.001) than older patients.

Table 1.

Comparison of Clinicopathological Features Between Young and Older HBV-Related HCC Patients

Variables Young HCC Older HCC p-value
(n=699) (n=3805)
Age, years, Median [IQR] 36.0 [32.0, 39.0] 53.0 [47.0, 60.0] <0.001
Gender
 Female 84 (12.0%) 519 (13.6%) 0.272
 Male 615 (88.0%) 3286 (86.4%)
AFP
 <10ng/mL 141 (20.2%) 1153 (30.3%) <0.001
 ≥10ng/mL 558 (79.8%) 2652 (69.7%)
HBV-DNA
 <1000IU/L 79 (11.3%) 512 (13.5%) 0.136
 ≥1000IU/L 620 (88.7%) 3293 (86.5%)
WBC, 109/L, Mean (SD) 5.60 (1.69) 5.33 (1.79) <0.001
PLT, 109/L, Mean (SD) 182 (70.4) 157 (66.8) <0.001
ALB, g/L, Mean (SD) 43.2 (3.76) 41.8 (3.61) <0.001
TBIL, μmol/L, Median [IQR] 13.4 [10.5, 17.4] 13.5 [10.7, 17.0] 0.349
ALBI grade
 Grade 1 597 (85.4%) 2851 (74.9%) <0.001
 Grade 2 102 (14.6%) 954 (25.1%)
Resection margin width
 <1cm 544 (77.8%) 3082 (81.0%) 0.0582
 ≥1cm 155 (22.2%) 723 (19.0%)
Blood transfusion
 No 625 (89.4%) 3423 (90.0%) 0.709
 Yes 74 (10.6%) 382 (10.0%)
Operative bleeding loss
 <800mL 643 (92.0%) 3500 (92.0%) 1.000
 ≥800mL 56 (8.0%) 305 (8.0%)
Tumor size, cm Median [IQR] 5.80 [3.70, 9.20] 5.00 [3.30, 8.00] <0.001
Tumor number
 Solitary 565 (80.8%) 3067 (80.6%) 0.931
 Multiple 134 (19.2%) 738 (19.4%)
Microvascular invasion
 No 374 (53.5%) 2423 (63.7%) <0.001
 Yes 325 (46.5%) 1382 (36.3%)
Macrovascular invasion
 No 568 (81.3%) 3329 (87.5%) <0.001
 Yes 131 (18.7%) 476 (12.5%)
Edmondson grade
 I–II 65 (9.3%) 490 (12.9%) 0.010
 III–IV 634 (90.7%) 3315 (87.1%)
Tumor capsular
 No 163 (23.3%) 743 (19.5%) 0.025
 Yes 536 (76.7%) 3062 (80.5%)
Satellite nodules
 No 395 (56.5%) 2258 (59.3%) 0.175
 Yes 304 (43.5%) 1547 (40.7%)
Liver cirrhosis
 No 344 (49.2%) 1616 (42.5%) 0.001
 Yes 355 (50.8%) 2189 (57.5%)
BCLC stage
 0/A 487 (69.7%) 2827 (74.3%) <0.001
 B 81 (11.6%) 502 (13.2%)
 C 131 (18.7%) 476 (12.5%)
AJCC TNM stage (8th)
 I 323 (46.2%) 2057 (54.1%) <0.001
 II 188 (26.9%) 971 (25.5%)
 IIIA 57 (8.2%) 301 (7.9%)
 IIIB 131 (18.7%) 476 (12.5%)

Notes: Categorical variables are presented as no. (%). Mean (standard deviation) presented for normally distributed continuous variables, while median (interquartile range) was given to those with non-normally distributed continuous variables.

Abbreviations: HCC, hepatocellular carcinoma; AFP, alpha-fetoprotein; WBC, white blood cell; PLT, platelet count; ALB, albumin; TBIL, total bilirubin; ALBI grade, albumin-bilirubin grade; BCLC, Barcelona Clinic Liver Cancer; AJCC, American Joint Committee on Cancer; TNM, tumor, node, metastases; SD, standard deviation; IQR, interquartile range.

Comparison of Prognosis Between Young and Older HBV-Related HCC Patients

The prognosis after liver resection for HBV-related HCC between young and older patients is shown in Figure 2. The overall survival rates at 1, 3, 5 years were 81.2%, 61%, and 45.3%, respectively, in young patients with HCC and 86.4%,65.3%, and 47.7%, respectively, in the older patients with HCC (p=0.0091, Figure 2A). The recurrence-free survival rates at 1, 3, 5 years were 54.7%, 39.7%, and 28.2%, respectively, in young group and 63.8%, 41.1%, and 28%, respectively, in the older group (p=0.045, Figure 2B).

Figure 2.

Figure 2

Comparison of prognosis between young and older groups. (A) OS in the entire patients; (B) RFS in the entire patients; (C) OS in BCLC 0/A staging; (D) RFS in BCLC 0/A staging; (E) OS in BCLC B staging; (F) RFS in BCLC B staging; (G) OS in BCLC C staging; (H) RFS in BCLC C staging.

Abbreviations: OS, overall survival; RFS, recurrence-free survival; BCLC, Barcelona Clinic Liver Cancer.

To stratify by tumor factors and liver functional reserve, we performed several subgroup analyses of OS and RFS (Figures 3 and 4, respectively). After stratification by the BCLC staging system, there were no significant differences in OS and RFS between young and older groups in BCLC 0/A staging (p=0.17; p=0.8) and BCLC B staging (p=0.26; p=0.58) (Figure 2CF). In BCLC C staging, young HCC patients had a significantly worse prognosis than older HCC patients (p=0.018; p=0.00017) (Figure 2G and H).

Figure 3.

Figure 3

Subgroup analysis of overall survival between young and older groups.

Abbreviations: AFP, alpha-fetoprotein; ALBI grade, albumin-bilirubin grade; BCLC, Barcelona Clinic Liver Cancer; AJCC, American Joint Committee on Cancer; TNM, tumor, node, metastases; HR, hazard ratio; CI, confidence interval.

Figure 4.

Figure 4

Subgroup analysis of recurrence-free survival between young and older groups.

Abbreviations: AFP, alpha-fetoprotein; ALBI grade, albumin-bilirubin grade; BCLC, Barcelona Clinic Liver Cancer; AJCC, American Joint Committee on Cancer; TNM, tumor, node, metastases; HR, hazard ratio; CI, confidence interval.

Risk Factors Associated with OS and RFS in Young HBV-Related HCC Patients

The univariate and multivariate Cox analysis for determining the risk factors associated with OS and RFS in young HBV-related HCC patients are shown in Table 2. Multivariate analysis revealed that a serum AFP levels of ≥10ng/mL, a resection margin width of <1cm, a tumor size of ≥5cm, the absence of tumor capsular, and the presence of macrovascular invasion were the independent risk factors associated with mortality (Table 2). A serum ALB level of <35g/L, a tumor size of ≥5cm, the presence of microvascular invasion, and macrovascular invasion were the independent risk factors associated with tumor recurrence by multivariate analysis (Table 2).

Table 2.

Univariate and Multivariate Cox Regression for OS and RFS in Young HBV Relate HCC Patients

Variables OS RFS
Univariate Multivariate Univariate Multivariate
HR (95% CI) p-value HR (95% CI) p-value HR (95% CI) p-value HR (95% CI) p-value
Gender (Female as ref)
Male 1.24 (0.90–1.70) 0.19 1.01 (0.99–1.03) 0.37
AFP (<10ng/mL as ref)
≥10ng/mL 2.15 (1.59–2.90) <0.01 1.48 (1.09–2.02) 0.01 1.56 (1.24–1.97) <0.01
HBV-DNA (<1000IU/L as ref)
≥1000IU/L 0.84 (0.59–1.18) 0.30 0.94 (0.70–1.25) 0.65
WBC (<4×109/L as ref)
≥4×109/L 1.20 (0.90–1.59) 0.22 1.35 (1.05–1.74) 0.02
PLT (<100×109/L as ref)
≥100×109/L 1.29 (0.91–1.83) 0.15 1.54 (1.12–2.12) <0.01
ALB (<35g/L as ref)
≥35g/L 0.62 (0.30–1.26) 0.18 0.45 (0.25–0.83) 0.01 0.39 (0.20–0.75) <0.01
TBIL (<17.1μmol/L as ref)
≥17.1μmol/L 1.24 (0.99–1.54) 0.06 1.13 (0.93–1.38) 0.21
ALBI grade (Grade 1 as ref)
Grade 2 1.63 (1.25–2.12) <0.01 1.41 (1.11–1.78) <0.01
Resection margin width (<1cm as ref)
≥1cm 0.56 (0.43–0.72) <0.01 0.66 (0.50–0.87) <0.01 0.69 (0.55–0.85) <0.01
Blood transfusion (no as ref)
Yes 2.67 (2.02–3.53) <0.01 2.24 (1.73–2.90) <0.01
Operative bleeding loss (<800mL as ref)
≥800mL 2.41 (1.77–3.29) <0.01 1.74 (1.29–2.35) <0.01
Tumor size (<5cm as ref)
≥5cm 3.08 (2.44–3.87) <0.01 2.10 (1.63–2.70) <0.01 2.64 (2.18–3.20) <0.01 2.04 (1.65–2.50) <0.01
Tumor number (Solitary as ref)
Multiple 1.55 (1.21–1.97) <0.01 1.59 (1.28–1.97) <0.01
Microvascular invasion (no as ref)
Yes 2.21 (1.80–2.71) <0.01 2.25 (1.88–2.69) <0.01 1.50 (1.22–1.84) <0.01
Macrovascular invasion (no as ref)
Yes 4.28 (3.40–5.38) <0.01 2.29 (1.75–3.00) <0.01 4.35 (3.51–5.40) <0.01 2.77 (2.15–3.58) <0.01
Edmondson grade (I–II as ref)
III–IV 2.86 (1.78–4.59) <0.01 2.19 (1.53–3.14) <0.01
Tumor capsular (no as ref)
Yes 0.51 (0.41–0.64) <0.01 0.69 (0.55–0.87) <0.01 0.60 (0.49–0.73) <0.01
Satellite nodules (no as ref)
Yes 1.76 (1.44–2.16) <0.01 1.52 (1.27–1.81) <0.01
Liver cirrhosis (no as ref)
Yes 1.20 (0.98–1.47) 0.08 1.08 (0.91–1.29) 0.38

Abbreviations: OS, overall survival; RFS, recurrence-free survival; AFP, alpha-fetoprotein; WBC, white blood cell; PLT, platelet count; ALB, albumin; TBIL, total bilirubin; ALBI grade, albumin-bilirubin grade; HR, hazard ratio; CI, confidence interval; Ref, reference.

Discussion

Generally, Hepatocellular carcinoma (HCC) usually occurs in middle-aged and elderly individuals. The age distribution of HCC varies according to geographical location and etiology.27 In areas where hepatitis B infection is endemic, screening programs for HCC in high-risk populations are important to increase the rate of early diagnosis and improve treatment outcome.2 Nonetheless, the prevalence of HBV-related HCC in young patients, especially in high-risk populations, has increased.3 However, the prognosis of young patients with HBV-related HCC is controversial. Some authors have found that young patients have better long-term outcomes,810 whereas others have reported that young patients have advanced tumor factors, thereby indicating a poor prognosis.11,12 Several studies have demonstrated that the long-term outcomes after HCC resection are similar between the two groups.1315

The variable conclusions may be attributed to the following two aspects. Firstly, the number of young and older patients with HCC was too small for accurate analysis in these studies.12,2224 The present study focused on a relatively small proportion of young and older patients with HBV-related HCC in China, and this population was further restricted to patients who intended to curative hepatic resection with good liver functional reserve. Such strict patient selection could be fully compared the clinical characteristics, outcome, and prognostic factors after hepatectomy of young HCC patients with older HCC patients.

Secondly, the lack of standardization of what cut-off age constituted “young and older HCC”. In some studies, the cut-off was defined as 30 or 40 years, whereas in others below 55 years.2,10,15,28 The determination of the cut-off age for older HCC patients has also varied in the literature.2832 We defined young patients as aged ≤40 years and older patients as aged >40 years. The age cut-off of 40 years was based on previous studies.2,10,11,2023 We believe this allows for more meaningful comparisons with other studies. Besides, the Chinese guidelines for the management of HCC recommend screening of males beginning at age 40.33 Hence, we were interested in evaluating the prognosis in HBV-related HCC patients below this age threshold.

In the present study, the results demonstrated that young patients had higher serum AFP levels, larger tumor size, higher rates of microvascular invasion and macrovascular invasion, higher rates of Edmondson grade III–IV, lower rates of tumor capsular, more advanced AJCC TNM stages, and more advanced BCLC stages than older patents. Meanwhile, young patients also had worse OS and RFS rate than older patients, which is consistent with previous study.11,12

Multivariate analysis revealed that a tumor size of ≥5 cm and macrovascular invasion were associated with OS and RFS in young patients, so aggressive tumor factors lead to poor prognosis in young patients. Previous studies have shown young patients diagnosed with HCC more often had symptomatic presentations and were less likely to be identified by surveillance.2,14 It implies that if tumors could be detected at the early stage by more frequent surveillance and radical treatment is performed, long-term survival can be expected in the young patients.

Conclusions

This multicenter study indicated that young patients had better liver function, more aggressive tumor characteristics, and worse prognosis than older patients. A tumor size of ≥5 cm and macrovascular invasion lead to poor prognosis in young patients.

Acknowledgments

The authors thank Zhenwei Chen and ChuanChun Chen for their help in data collection, and Dr. Zhiqing Liu for his assistance with the statistical analysis of this study.

Funding Statement

This study was supported by the Special Fund of Fujian Development and Reform Commission (31010308), the Natural Science Foundation of Fujian Province (2018J01140), and the Key Clinical Specialty Discipline Construction Program of Fuzhou (201912002).

Abbreviations

HCC, hepatocellular carcinoma; AFP, alpha-fetoprotein; HBV, hepatitis B virus; WBC, white blood cell; PLT, platelet count; ALB, albumin; TBIL, total bilirubin; ALBI, albumin-bilirubin; BCLC, Barcelona Clinic Liver Cancer; AJCC, American Joint Committee on Cancer; TNM, tumor, node, metastases; SD, standard deviation; IQR, interquartile range.

Data Sharing Statement

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

Ethics Approval and Informed Consent

This study was approved by the institutional ethics committee of Mengchao Hepatobiliary Hospital of Fujian Medical University. Informed consent was obtained from each patient for their data to be used for research purposes.

Disclosure

The authors declare no conflicts of interest.

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