Literature DB >> 33959557

Current Status of Therapeutic Choice and Feasibility for Patients with Hepatocellular Carcinoma Aged ≥ 70 Years: A Nationwide Cancer Registry Analysis.

Seoung Yoon Rho1,2, Hyun Woong Lee2,3, Do Young Kim2,4, Kyung Sik Kim2,5.   

Abstract

BACKGROUND: The opportunities for examining elderly patients with hepatocellular carcinoma (HCC) have increased. We investigated the treatment of HCC for elderly patients and the overall survival associated with each treatment modality.
METHODS: From January 2003 to December 2005 (n=578, period I) and January 2008 to December 2014 (n=2428, period II), the National Cancer Center and Korean Liver Cancer Association collected clinical data of 3006 patients with HCC aged ≥70 years old at 54 medical centers in Korea. We analyzed the treatment modalities and overall survival for patients with HCC aged ≥70 years.
RESULTS: The mean age, Child-Pugh score, and model for end-stage liver disease score and proportion of male patients were not different between period I and period II (74 years, 6.6, 10.4 and 70.1% vs 76 years, 6.2, 9.9 and 67.3%). TNM stage II and BCLC stage A were most commonly noted in periods I and II (44.3% and 49.1% vs 40.4% and 40.2%). Transarterial therapy was the most commonly used treatment modality according to age in both periods. Surgical resection was associated with significant superior overall survival compared to local ablation and transarterial therapy (p<0.001). After propensity score matching between surgical resection and transarterial therapy in period II, surgical resection was associated with more favorable overall survival outcomes (median: 39 months vs 86 months, p<0.001).
CONCLUSION: Transarterial therapy was the most commonly used treatment modality for patients with HCC aged ≥70 years. However, surgical resection led to significantly higher overall survival rates compared to other treatment modalities.
© 2021 Rho et al.

Entities:  

Keywords:  elderly; hepatocellular carcinoma; local ablation therapy; surgical resection; transarterial therapy

Year:  2021        PMID: 33959557      PMCID: PMC8096455          DOI: 10.2147/JHC.S306507

Source DB:  PubMed          Journal:  J Hepatocell Carcinoma        ISSN: 2253-5969


Introduction

Hepatocellular carcinoma (HCC) is the fifth most common cancer and second leading cause of cancer related death worldwide.1,2 In South Korea, HCC is third most common cancer among gastrointestinal malignancy and the associated mortality rate (14.1%) was the second highest among all cancer-related deaths in 2016.3 The population in South Korea, like that in any other developed country in the world, has rapidly aged.4 Among patients who died owing to HCC in 2014, 67.4% of the patients were aged > 60 years and 28.5% of the patients were aged 70–79 years.5 It is well known that age is a contributing factor in the development of HCC.6,7 It is difficult to define “elderly patients”. Despite the ambiguity of the term, it is universally accepted that patients with a chronological age > 65 years are defined as “elderly patients”. With respect to the socioeconomic perspective, such patients are on the verge of retirement. The United Nations and the World Health Organization define individuals aged > 60 years as “elderly”.8 In most practical clinical studies, individuals who are “60 years old”, “65 years old”, or “70 years old” are defined as “elderly”.9 In the 1980s, researchers mainly defined the age of 65 years as “elderly”; however, the age of 75 years was defined as “elderly” in 90s. In studies involving a Japanese group, individuals aged > 80 years were defined as the “super-elderly population”.10–13 In previous studies on elderly patients with HCC in South Korea, researchers defined “elderly patient” as patients aged > over 65 or 70 years and investigated the treatment modalities and outcomes. However, these studies were confined to single centers, and it was difficult to reflect the trends or the outcomes of treatment in elderly patients with HCC nationwide using these data.14–16 To overcome these limitations and to aid in establishing a nationwide treatment strategy for elderly patients with HCC, we aimed to evaluate the therapeutic modalities used to treat patients with HCC aged > 70 years in detail and to compare the overall survival associated with each treatment modality using data from the National Cancer Center (NCC) and the Korean Liver Cancer Association (KLCA).

Patients and Methods

The Korean Central Cancer Registry

The Korean Central Cancer Registry (KCCR), a nationwide cancer registry, was developed by the Ministry of Health and Welfare, South Korea. Using code C22.0, which defines HCC, of the International Classification of Disease 10th edition (ICD-10) coding system, patients with HCC were identified in the KCCR registry. From January 2003 to December 2005 (period I) and January 2008 to December 2014 (period II), the NCC and KLCA collected the clinical data of 3006 patients with HCC aged > 70 years from 54 medical centers in South Korea archived in the KCCR. New patients are enrolled in the cancer registry each year. During 2003–2005 (period I), the KLCA collected the medical data from each tertiary medical center in South Korea. During that period, patients’ medical records from each medical center were voluntarily added in the database as the initial prototype of the cancer registry. After three years of preparation, the KCCR was started in collaboration with the NCC, and medical recorders were dispatched to each medical center to collect the patient data.

Study Population and Study Design

Using these data, we analyzed the rates of use of and overall survival associated with each treatment modality for patients with HCC aged > 70 years. All the treatment modality is recorded as “initial treatment” for the patients. We obtained the patients’ mortality data from the Korean National Statistics Office (KNSO). The initial treatment dates and dates of disease progression were obtained from the KCCR records. To investigate the nationwide distribution of each treatment modality, we divided the patients into three groups (ages 70–75 years, aged 76–80 years, and aged > 80 years). The follow-up durations were estimated from the date of initial treatment to date of death or were calculated to a certain date for each period (December 31, 2011 for period I and December 31, 2016 for period II) for the analysis of overall survival. In this study, the treatment modalities were classified as surgical resection, local ablation therapy, transarterial therapy, chemotherapy, radiation therapy, no treatment, and unknown. Local ablation therapy included radiofrequency ablation (RFA), percutaneous ethanol injection, and cryoablation. Transarterial therapy included transarterial chemoembolization (TACE) with gelatin sponge, TACE with DC Beads™ (Biocompatibles Ltd, Farnham, UK) or HepaSphere™ (Biosphere Medical, Rockland, MA), transarterial chemolipiodolization, transarterial chemoinfusion, and transarterial radioembolization (Yt-90). We retrospectively reviewed the medical records of each patient. This study was approved by the internal review board of Severance Hospital (IRB No. 4-2018-0354) and conducted according to the principles of the Declaration of Helsinki. Informed consent was obtained by the NCC and KLCA, and the collection of data was approved by each participating medical center or institution.

Statistical Analysis and Propensity Score Matching (PSM)

Descriptive analyses of the clinical data were performed using the Student’s t-test and Pearson’s chi-square test. The overall survival time was analyzed using the Kaplan-Meier method, and statistical differences were verified using Log rank tests. Statistical significance was set at p<0.05. All results were reported as the mean with standard deviation or percentages. Propensity score matching (PSM) was performed, with the caliper set at 0.2. To reduce selection bias and the effects of potential confounders, the propensity score was calculated using logistic regression based on age, sex, etiology, Child-Pugh score, and Barcelona Clinic Liver Cancer (BCLC) stage. Differences between the two groups were balanced using 1:1 PSM analysis. All statistical analyses were performed using SPSS® for Windows version 22.0 (IBM Corp., Armonk, NY, USA) and R version 3.3.1 (The R Project, Vienna, Austria).

Results

Clinical Characteristics in Patients with HCC

Period I included 578 patients with a mean age of 74 years. Of the patients included in this period, 405 (70.1%) were men, 152 (26.3%) had hepatitis B, and 162 (28.0%) had hepatitis C. The mean Child-Pugh score (CPS) was 6.6, and the mean model for end-stage liver disease (MELD) score was 10.4. More than 60% of the patients were classified as having Child-Pugh class A disease and 256 patients (44.3%) were classified as having TNM stage II stage, while 160 patients (27.7%) were classified as having TNM stage III disease. Nearly half of the patients were classified as having BCLC stage A disease (284 patients; 49.1%); 93 (16.1%), BCLC stage B disease; and 129 (22.3%), BCLC stage C disease. Period II included 2428 patients with a mean age of 76 years. Of the patients included in this period, 1633 (67.3%) were men, 587 (24.2%) had hepatitis B, and 552 (22.7%) had hepatitis C. The mean alpha-fetoprotein (AFP) level was 5817 ± 876 ng/mL, and the mean protein induced by vitamin K absence or antagonist-II (PIVKA-II) level was 5208 ± 550 mAu/mL. The mean CPS was 6.2, and the mean MELD score was 9.9. This period included 980 patients (40.4%) classified as having TNM stage II disease and 692 patients (28.5%) with TNM stage III disease. The BCLC classification of the patients was as follows: 977 patients (40.2%), stage A disease; 382 patients (15.7%), stage B disease; and 775 patients (32.0%), stage C (Table 1).
Table 1

Clinical Characteristics of the Patients with Hepatocellular Carcinoma

VariablesPeriod I (2003–2005)Period II (2008–2014)
N=578N=2428
Age74 ± 476 ± 5
Gender, male:female405:173 (70.1:29.9)1633:795 (67.3:32.7)
BMI (kg/m2)Not checked23.4 ± 3.5
Etiology (%)
 HBV152 (26.3)587 (24.2)
 HCV162 (28.0)552 (22.7)
 HBV and HCV5 (0.9)18 (0.7)
 Alcohol77 (13.3)464 (19.1)
 Unknown182 (31.5)807(33.2)
DiabetesNot checked822 (33.9)
HypertensionNot checked1299 (53.5)
ECOG performanceNot checked
 01082 (44.6)
 1297 (12.2)
 2104 (4.3)
 344 (1.8)
 424 (1.0)
 Unknown879 (36.1%)
Hepatic encephalopathy
 None557 (96.4)2360 (97.1)
 Grade 1–213 (2.2)60 (2.5)
 Grade 3–48 (1.4)9 (0.4)
Ascites (%)
 None401 (69.4)1830 (75.4)
 Slight112 (19.4)369 (15.2)
 Moderate to severe65 (11.2)229 (9.4)
AFP (ng/mL)Not checked5817 ± 876
PIVKA-II (mAu/mL)Not checked5208 ± 550
Child-Pugh score6.6 ± 1.86.2 ± 1.5
Child-Pugh classification
 A357 (61.8)1625 (66.9)
 B177 (30.6)594 (24.5)
 C44 (7.6)98 (4.0)
 Unknown111 (4.6)
MELD score10.4 ± 4.29.9 ± 4.0
TNM stage
 I35 (6.0)285 (11.7)
 II256 (44.3)980 (40.4)
 III160 (27.7)692 (28.5)
 IV-A52 (9.0)238 (9.8)
 IV-B49 (8.5)223 (9.2)
 Unknown26 (4.5)9 (0.4)
BCLC stage
 025 (4.3)132 (5.4)
 A284 (49.1)977 (40.2)
 B93 (16.1)382 (15.7)
 C129 (22.3)775 (32.0)
 D47 (8.2)162 (6.7)

Note: Data are reported as mean ± standard deviation or n (%).

Abbreviations: HBV, hepatitis B; HCV, hepatitis C; ECOG, Eastern Cooperative Oncology Group; AFP, alpha-fetoprotein; PIVKA-II, proteins induced by vitamin K absence or antagonist-II; MELD, model for end-stage liver disease; BCLC, Barcelona clinic liver cancer; BMI, body mass index.

Clinical Characteristics of the Patients with Hepatocellular Carcinoma Note: Data are reported as mean ± standard deviation or n (%). Abbreviations: HBV, hepatitis B; HCV, hepatitis C; ECOG, Eastern Cooperative Oncology Group; AFP, alpha-fetoprotein; PIVKA-II, proteins induced by vitamin K absence or antagonist-II; MELD, model for end-stage liver disease; BCLC, Barcelona clinic liver cancer; BMI, body mass index.

Treatment Distribution According to Age

Transarterial therapy was the most commonly used treatment modality for patients in period I (n=284 patients, 49.1%). This treatment modality was used in 52.8% of the patients aged 70–75 years, 43.3% of the patients aged 76–80 years, and 38.3% of the patients aged > 80 years. Surgical resection and local ablation therapy were each used in 6.3% of the patients aged 70–75 years. Transarterial therapy was the most commonly used treatment modality for patients in period II (n=1079 patients, 44.4%). This treatment modality was used in 47.1% of the patients aged 70–75 years and 34.0% of the patients aged > 80 years. Surgical ablation was used in 14.5% of the patients aged 70–75 years and 3.7% of the patients aged > 80 years. Among patients aged 70–75 years, 281 patients (20.2%) did not receive treatment, while 179 patients (47.2%) aged > 80 years did not receive treatment (Table 2).
Table 2

Treatment Distribution According to Age

A. Period I (2003–2005)
Treatment ModalityTotal (N=578)Age
70–75 (N=379)76–80 (N=152)>80 (N=47)p-value
Surgical resection29 (5.0)24 (6.3)4 (2.6)1 (2.1)0.119
Local ablation therapy41(7.1)24 (6.3)12 (7.9)5 (10.6)
Transarterial therapy284 (49.1)200 (52.8)66 (43.4)18 (38.3)
Systemic chemotherapy1 (0.2)1 (0.3)0 (0)0 (0)
Radiation therapy7 (1.2)4 (1.1)3 (2.0)0 (0)
Unknown216 (37.4)126 (33.2)67 (44.1)23 (48.9)
B. Period II (2008–2014)
Treatment ModalityTotal (N=2428)Age
70–75 (N=1393)76–80 (N=656)>80 (N=379)p-value
Surgical resection255 (10.5)202 (14.5)39 (5.9)14 (3.7)0.159
Local ablation therapy255 (10.5)167 (12.0)66 (10.1)22 (5.8)
Transarterial therapy1079 (44.4)655 (47.1)295 (45.0)129 (34.0)
Systemic chemotherapy88 (3.6)48 (3.4)24 (3.7)16 (4.2)
Radiation therapy22 (0.9)12 (0.9)7 (1.1)3 (0.8)
No treatment667 (27.5)281 (20.2)207 (31.6)179 (47.2)
Unknown62 (2.6)28 (2.0)18 (2.7)16 (4.2)

Note: Data are reported as mean ± standard deviation or n (%).

Treatment Distribution According to Age Note: Data are reported as mean ± standard deviation or n (%).

Overall Survival Analysis According to Treatment Modality

The overall survival was significantly longer for patients who underwent surgical resection in period I (n=29, median survival: 81 months) than that for those who underwent local ablation therapy (n=41, median survival: 45 months) and transarterial therapy (n=284, median survival: 23 months; p<0.001; Figure 1).
Figure 1

Overall survival according to the treatment modality used in period I (2003–2005). The overall survival was significantly longer for patients who underwent surgical resection in period I than that for those who underwent local ablation therapy and transarterial therapy.

Overall survival according to the treatment modality used in period I (2003–2005). The overall survival was significantly longer for patients who underwent surgical resection in period I than that for those who underwent local ablation therapy and transarterial therapy. The overall survival was significantly longer for patients who underwent surgical resection (n=255, median survival: 88 months; p<0.001) in period II than for those who received other therapeutic modalities, followed by local ablation therapy (n=255, median survival: 64 months), transarterial therapy (n=1079, median survival: 27 months), radiation therapy (n=22, median survival: 7 months), and systemic chemotherapy (n=88, median survival: 4 months; Figure 2). Among 88 patients who received systemic therapy including sorafenib, 66 patients were categorized as BCLC C. In the BCLC C category, 57 patients treated by sorafenib as initial therapy for the HCC.
Figure 2

Overall survival according to the treatment modality used in period II (2008–2014). The overall survival was significantly longer for patients who underwent surgical resection in period II than for those who received other therapeutic modalities, followed by local ablation therapy, transarterial therapy, radiation therapy, and systemic chemotherapy.

Overall survival according to the treatment modality used in period II (2008–2014). The overall survival was significantly longer for patients who underwent surgical resection in period II than for those who received other therapeutic modalities, followed by local ablation therapy, transarterial therapy, radiation therapy, and systemic chemotherapy.

Subgroups Analysis of Overall Survival According to BCLC Stage and Treatment Modality in Each Period

The overall survival according to the BCLC stage in both periods was significantly longer in the order of BCLC stage 0, A, B, C and D. Between each stage, there were statistically significant differences. In the comparison of median survival at the same BCLC stages in both periods, there was no significant differences in BCLC stage D. However, in the early stage of HCC especially BCLC stage 0 and A, the median survival of period II increased more than 10 months compared to period I. (BCLC stage 0: 63 months vs 53 months) (BCLC stage A: 37 months vs 27 months) (, ). In the subgroup analysis of overall survival according to BCLC stage and treatment modality in each period, more various treatments were attempted even in the advanced stage such BCLC stage C and D in period II compared to period I. (, ).

PSM Between Surgical Resection and Transarterial Therapy

After 1:1 PSM, 247 patients who underwent surgical resection were matched with 247 patients who underwent transarterial therapy. There were no significant differences with respect to age, gender, etiology, performance status, AFP level, PIVKA-II level, CPS, TNM stage and BCLC stage between the surgical resection and transarterial therapy groups. Only the MELD score (8.6) of the transarterial therapy group was significantly higher than that of the surgical resection group (8.0; p=0.012). TNM stage II was most common in both groups (surgical resection: 73.3%; transarterial therapy: 68.8%). Stage O was the most common BCLC stage in both groups (surgical resection: 61.1%; transarterial therapy: 57.9%; Table 3). Survival analysis after PSM revealed that the overall survival was significantly longer for patients who underwent surgical resection (median survival: 86 months) than the matched patients who underwent transarterial therapy (median survival: 39 months; p<0.005; Figure 3).
Table 3

Clinical Characteristics After Propensity Score Matching Between Surgical Resection and Transarterial Therapy in Period II (2008–2014)

VariablesSurgical Resection (N=247)Transarterial Therapy (n=247)P-value
Age74 ± 474 ± 30.910
Gender, male183 (74.1)193 (78.1)0.342
Etiology0.899
 HBV62 (25.1)67 (27.1)
 HCV46 (18.6)50 (20.2)
 HBV and HCV1 (0.4)2 (0.8)
 Alcohol55 (22.3)51 (20.6)
 Unknown83 (33.6)77 (31.2)
ECOG performance0.062
 0151 (61.1)153 (61.9)
 141 (16.6)22 (8.9)
 25 (2.0)6 (2.4)
 Unknown50 (20.2)50 (20.2)
AFP (ng/mL)1806 ± 8312102 ± 7410.791
PIVKA (mAu/mL)3253 ± 6882812 ± 7330.662
Child-Pugh score5.3 ± 0.75.3± 0.60.684
MELD score8.0± 2.28.6± 2.30.012
TNM Stage0.512
 Stage I18 (7.3)19 (7.7)
 Stage II182 (73.3)170 (68.8)
 Stage III42 (17.0)51 (20.6)
 Stage IV-A2 (0.8)5 (2.0)
 Stage IV-B3 (1.2%)2 (0.8)
BCLC stage0.087
 O151 (61.1)143 (57.9)
 A41 (16.6)35 (14.2)
 B54 (21.9)68 (27.5)
 C1 (0.4)1 (0.4)
 D0 (0)0 (0)

Note: Data are reported as mean ± standard deviation or n (%).

Abbreviations: HBV, hepatitis B; HCV, hepatitis C; ECOG, Eastern Cooperative Oncology Group; AFP, alpha-fetoprotein; PIVKA-II, proteins induced by vitamin K absence or antagonist-II; MELD, model for end-stage liver disease; BCLC, Barcelona clinic liver cancer.

Figure 3

Overall survival analysis after PSM between the two groups in period II (2008–2014). Survival analysis after PSM revealed that the overall survival was significantly longer for patients who underwent surgical resection than the matched patients who underwent transarterial therapy.

Clinical Characteristics After Propensity Score Matching Between Surgical Resection and Transarterial Therapy in Period II (2008–2014) Note: Data are reported as mean ± standard deviation or n (%). Abbreviations: HBV, hepatitis B; HCV, hepatitis C; ECOG, Eastern Cooperative Oncology Group; AFP, alpha-fetoprotein; PIVKA-II, proteins induced by vitamin K absence or antagonist-II; MELD, model for end-stage liver disease; BCLC, Barcelona clinic liver cancer. Overall survival analysis after PSM between the two groups in period II (2008–2014). Survival analysis after PSM revealed that the overall survival was significantly longer for patients who underwent surgical resection than the matched patients who underwent transarterial therapy.

PSM Between Surgical Resection and Local Ablation Therapy in Early HCC

After PSM, 87 patients of surgical resection and local ablation therapy were compared, respectively. Only patients in BCLC stage 0 and A were included. There were no significant differences in terms of age, gender, etiology, performance status, AFP level, MELD score (Table 4). In overall survival analysis after PSM, there was a significant benefit for patients who underwent surgical resection (median survival: 88 months) than the patients who underwent local ablation therapy (median survival: 65 months, p=0.036) (Figure 4).
Table 4

Clinical Characteristics After Propensity Score Matching Between Surgical Resection and Local Ablation Therapy for Early Stage Hepatocellular Carcinoma in Period II (2008–2014)

VariablesSurgical ResectionLocal AblationP-value
(N=87)(N=87)
Age73.8 ± 3.674.0 ± 3.70.695
Gender, male60 (69.0%)61 (70.1%)1.000
Etiology0.603
 HBV25 (28.7%)20 (23.0%)
 HCV19 (21.8%)26 (29.9%)
 Alcohol17 (19.5%)18 (20.7%)
 Unknown26 (29.9%)23 (26.4%)
ECOG performance0.862
 064 (73.6%)66 (75.9%)
 Unknown23 (26.4%)21 (24.1%)
AFP (ng/mL)73.7 ± 220.194.8 ± 298.70.596
Child-Pugh Classification0.717
 A84 (96.6%)82 (94.3%)
 B3 (3.4%)5 (5.7%)
MELD score7.9 ± 1.68.1 ± 1.70.440
BCLC stage0.654
 O10 (11.5%)13 (14.9%)
 A77 (88.5%)74 (85.1%)

Note: Data are reported as mean ± standard deviation or n (%).

Abbreviations: HBV, hepatitis B; HCV, hepatitis C; ECOG, Eastern Cooperative Oncology Group; AFP, alpha-fetoprotein; MELD, model for end-stage liver disease; BCLC, Barcelona clinic liver cancer.

Figure 4

Overall survival analysis after PSM between surgical resection and radiofrequency ablation groups for early stage hepatocellular carcinoma in period II (2008–2014). Survival analysis after PSM revealed that the overall survival was significantly longer for patients who underwent surgical resection than the matched patients who underwent local ablation therapy.

Clinical Characteristics After Propensity Score Matching Between Surgical Resection and Local Ablation Therapy for Early Stage Hepatocellular Carcinoma in Period II (2008–2014) Note: Data are reported as mean ± standard deviation or n (%). Abbreviations: HBV, hepatitis B; HCV, hepatitis C; ECOG, Eastern Cooperative Oncology Group; AFP, alpha-fetoprotein; MELD, model for end-stage liver disease; BCLC, Barcelona clinic liver cancer. Overall survival analysis after PSM between surgical resection and radiofrequency ablation groups for early stage hepatocellular carcinoma in period II (2008–2014). Survival analysis after PSM revealed that the overall survival was significantly longer for patients who underwent surgical resection than the matched patients who underwent local ablation therapy.

Prognostic Factors in Each Period

In the univariate and multivariate cox-regression analysis of overall survival, the BCLC stage and treatment modality were significant prognostic factors in both periods. In period I, female, hepatitis C infection and hepatic encephalopathy were significant prognostic factors. Whereas, old age, AFP, PIVKA level, and the high Child-Pugh score were poor prognostic factors for overall survival in period II. (Table 5).
Table 5

Multivariate Cox-Regression Analysis in Each Period

Period IPeriod II
Variablesp-valueHR95% CIp-valueHR95% CI
Age0.1671.0190.992–1.0460.0041.0261.009–1.044
Gender (female)0.0180.7710.621–0.9550.4601.0720.891–1.289
HCV0.0070.7340.586–0.9200.3100.0940.744–1.099
Child- Pugh score0.6091.0340.910–1.150.0021.2041.070–1.354
MELD score0.0891.0310.995–1.0670.1211.0180.995–1.042
BCLC stage
 0Ref.Ref.
 A0.3181.2950.780–2.1480.4051.1910.790–1.795
 B0.0411.7641.024–3.0400.0151.7291.111–2.689
 C0.0062.1681.255–3.7450.0051.8321.201–2.794
 D0.0312.2631.076–4.7600.0241.9411.090–3.456
Hepatic encephalopathy
 NoneRef.Ref.
 Gr 1–20.0052.3561.298–4.2760.2530.7020.382–1.288
 Gr 3–40.0722.1160.936–4.7860.3590.8680.756–1.112
AFP0.0221.3800.993–2.213
PIVKA<0.0011.2590.893–1.983
Treatment
 Surgical resectionRef.Ref.
 Local ablation therapy0.0032.8301.411–5.6770.0231.5931.067–2.379
 Transarterial therapy<0.0013.5561.934–6.539<0.0012.7011.994–3.658
 Systemic chemotherapy0.02111.681.460–93.506<0.0019.2876.123–14.085
 Radiation therapy<0.00116.3076.020–44.173<0.0014.6592.201–9.860
 No treatmentN/A<0.0017.2135.107–10.186
<Unknown<0.0016.4813.438–12.218<0.0016.6733.212–13.865

Abbreviations: BMI, body mass index; HBV, hepatitis B; HCV, hepatitis C; AFP, alpha-fetoprotein; PIVKA-II, proteins induced by vitamin K absence or antagonist-II; MELD, model for end-stage liver disease; BCLC, Barcelona clinic liver cancer; BMI, body mass index.

Multivariate Cox-Regression Analysis in Each Period Abbreviations: BMI, body mass index; HBV, hepatitis B; HCV, hepatitis C; AFP, alpha-fetoprotein; PIVKA-II, proteins induced by vitamin K absence or antagonist-II; MELD, model for end-stage liver disease; BCLC, Barcelona clinic liver cancer; BMI, body mass index.

Discussion

As patients age, the risk of drug-induced injuries, critical viral hepatitis, and intra-abdominal sepsis in the liver increases.17 The incidence of HCC in elderly patients reflects these risks. Hepatitis is the most potent predisposing factor for HCC, and the incidence of hepatitis C among patients aged > 60 years has increased rapidly in South Korea.18 The incidence of non-hepatitis B- and non-hepatitis C-related HCC (NBNC-HCC) is also significantly higher among the elderly patients. Katsuta et al reported that the incidence of NBNC-HCC is significantly higher in patients aged > 80 years than in younger patients.10 In elderly patients, HCC frequently develops in the normal liver without cirrhosis or fibrosis. Paradis et al reported that the incidence of HCC without liver fibrosis was higher in patients with metabolic syndrome than in those with chronic liver injuries due to other causes.19 Satyanarayana et al and Plentz et al have both reported that shortened telomere lengths owing to aging deplete the ability to regenerate the liver and that liver cirrhosis and loss of P53 accelerate the telomere dysfunction, resulting in the development of HCC.20,21 Knowledge of these pathophysiological changes in the liver is important when treating HCC in elderly patients. Most importantly, the risks and benefits of any treatment modality should be assessed prior to administering it to the elderly patients with HCC. The benefit of the treatment should be greater than the decrease in survival owing to the treatment and maladjustments resulting from physical or mental stress. As most elderly patients have comorbidities, effective treatment strategies must be identified using a more systematic approach that includes the evaluation of rehabilitation and long-term care. In this study, we identified the rate of use of different therapeutic modalities and the changes noted in the therapeutic modalities used for treating HCC in elderly patients over time. In period I, only 5.0% of the patients underwent surgical resection, and unspecified modalities (including no treatment) were used for 37.4% of the patients. In period II, 10.5% of the patients underwent surgical resection, and unspecified methods (including no treatment) were used for only 30.1% of the patients. This shift indicates that biological age is not the only factor used to determine the indication for aggressive treatment. However, in patients aged > 80 years, the rate of use of unspecified methods (including no treatment) was stable (period I: 48.9%; period II: 51.4%). Kaplan-Meier analysis revealed that the longest overall survival was noted for patients who underwent surgical resection, followed by patients who underwent local ablation therapy and transarterial therapy. In the subgroup analysis of overall survival according to BCLC stage and treatment modality in each period, BCLC stage 0 and A showed better survival with statistical significance compared to other advanced stages in both periods. In addition, more various treatment modalities were attempted in period II compared to period I, the median survival increased by more than 10 months in early BCLC stages (0 and A). PSM was performed to compare the therapeutic effects between the surgical resection group, which is considered the most radical treatment, and the transarterial therapy group, which is the most widely used treatment modality for elderly patients. Surgical resection was associated with a statistically significant overall survival benefit compared to transarterial therapy. Furthermore, in overall survival analysis of early HCC including BCLC stage 0 and A only, surgical resection showed statistically significant benefit compared to local ablation therapy after PSM. There is still a debating the issue in terms of treating the small early HCC by local ablation therapy.22–26 This present study supported the evidence that surgical resection is preferred in treating the small early HCC even in elderly patients. This is probably due to several reasons. First, this database included all anatomical resection and non-anatomical resection. Second, because surgical methods well-established recently, perioperative mortality of the “elderly patients” was extremely low. In addition, unlike the SURF trial, this study is only focused on only “elderly patients”. Thus, it is possible that more “healthy patients” who cannot be subdivided by ECOG performance criteria had become candidates for surgical resection. In the analysis of prognostic factors for overall survival, the BCLC stage and treatment modality were significant commonly in both periods. The old age, AFP, PIVKA level, and the high Child-Pugh score were poor prognostic factors in period II. These are the same prognostic factors that affect the overall survival even in the general population group as well as elderly patients. According to the Korea Practice Guideline for the Management of HCC, surgical resection is the primary treatment for solitary HCC without liver cirrhosis and for patients with cirrhosis who are expected to have sufficient residual liver function after surgical resection.27 In elderly patients, resection should be considered carefully, as the capacity for liver regeneration is compromised. Currently, detailed guidelines are not available for the treatment of HCC in elderly patients, although several studies have reported comparable outcomes of surgical resection in elderly HCC patients. In many studies, aggressive treatment, such as surgical resection, is beneficial for elderly patients without critical comorbidities, such as cardiovascular disease. Iida et al compared the outcomes of 44 patients with HCC aged > 80 years and 351 patients with HCC aged < 80 years who underwent surgical resection and found no significant differences between the two groups with respect to the overall or disease-free survival. However, postoperative complications were found to significantly affect the overall survival of the patients aged >80 years in multivariate regression analysis (Nutrient status was identified potent cause of postoperative complications, and the authors emphasized on perioperative nutritional support.11 Kim et al reported that the incidence of postoperative pneumonia was significantly higher in patients aged >70 years old than in patients aged 60–69 years.28 Kishida et al also reported that the postoperative complication rate (≥ Clavien-Dindo classification grade III) was significantly higher in patients aged > 75 years old compared patients aged < 75 years old.29 Kaibori et al used data from the Liver Cancer Study Group of Japan to analyze the overall survival of 12,587 patients with HCC who underwent hepatectomy. The patients were divided into three groups (aged > 75 years: 2020 patients; aged 60–74 years: 7576 patients; and aged 40–59 years: 2991 patients). They found that the overall survival of patients aged > 75 years was significantly lesser than that of the patients in the other groups but that the disease-free survival of the three groups was not significantly different.30 Therefore, limited resection should be performed in consideration of the regeneration capacity of the liver. Perioperative nutritional support should be provided and efforts should be made to prevent the development postoperative infections. When surgical resection cannot be performed, RFA and TACE are the good alternative therapeutic strategies. Previous studies compared the overall survival of patients aged > 75 years and patients aged < 75 years who underwent RFA and found no significant difference in the overall survival between the two matched groups.31,32 Yau et al reported that the disease-free specific survival was significantly longer in patients aged > 70 years who underwent TACE than in those aged < 70 years who underwent TACE).33 In contrast, Mirici-Cappa et al found no significant differences in the overall survival between patients aged > 70 years and patients aged < 70 years who were matched using PSM.34 These studies indicate that RFA and TACE are effective modalities for treating HCC in elderly patients. However, clinicians should not overlook the procedure-related complications, such as infections and bleeding, associated with RFA and vessel injury owing to age related atherosclerosis and contrast induced renal dysfunction in TACE.35 There are some limitations of this study. First, data were not available regarding liver transplantation, which is being implemented as a fundamental treatment for HCC. Second, data on specific findings, such as HCC location or surgical method and operation type, were also not available. Third, the data for disease-free survival were incomplete. Fourth, data for the treatment method and cause of HCC were incomplete for several patients included in this study. A more comprehensive national database, which includes detailed findings for all patients, is needed for conducting similar studies in the future. As advanced countries move towards a super-aged society, the number of elderly patients with HCC is expected to increase. With the recent improvement in the outcomes of antiviral treatment, the mortality rate associated with liver cirrhosis is likely to decrease. As the rate of chronic viral infections of the liver increases among elderly patients, the rate of HCC will also increase. Clinicians must be aware of the balance between survival benefits and postoperative complications and exacerbation of comorbidities, when considering aggressive treatment for elderly patients with HCC. Aggressive treatments, such as surgical resection, can be performed in elderly patients only after the careful and comprehensive evaluation of the patient’s condition.
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1.  Population Aging and Healthcare Expenditure in Korea.

Authors:  Kyung-Rae Hyun; Sungwook Kang; Sunmi Lee
Journal:  Health Econ       Date:  2015-06-16       Impact factor: 3.046

2.  Effect of aging on risk for hepatocellular carcinoma in chronic hepatitis C virus infection.

Authors:  Yasuhiro Asahina; Kaoru Tsuchiya; Nobuharu Tamaki; Itsuko Hirayama; Tomohiro Tanaka; Mitsuaki Sato; Yutaka Yasui; Takanori Hosokawa; Ken Ueda; Teiji Kuzuya; Hiroyuki Nakanishi; Jun Itakura; Yuka Takahashi; Masayuki Kurosaki; Nobuyuki Enomoto; Namiki Izumi
Journal:  Hepatology       Date:  2010-08       Impact factor: 17.425

3.  Hepatic resection for hepatocellular carcinoma in super-elderly patients aged 80 years and older in the first decade of the 21st century.

Authors:  Akinori Nozawa; Shoji Kubo; Shigekazu Takemura; Chikaharu Sakata; Yorihisa Urata; Takayoshi Nishioka; Masahiko Kinoshita; Genya Hamano; Takahiro Uenishi; Shigefumi Suehiro
Journal:  Surg Today       Date:  2014-08-13       Impact factor: 2.549

4.  Impact of Advanced Age on Survival in Patients Undergoing Resection of Hepatocellular Carcinoma: Report of a Japanese Nationwide Survey.

Authors:  Masaki Kaibori; Kengo Yoshii; Isao Yokota; Kiyoshi Hasegawa; Fumio Nagashima; Shoji Kubo; Masanori Kon; Namiki Izumi; Masumi Kadoya; Masatoshi Kudo; Takashi Kumada; Michiie Sakamoto; Osamu Nakashima; Yutaka Matsuyama; Tadatoshi Takayama; Norihiro Kokudo
Journal:  Ann Surg       Date:  2019-04       Impact factor: 12.969

5.  2018 Korean Liver Cancer Association-National Cancer Center Korea Practice Guidelines for the Management of Hepatocellular Carcinoma.

Authors: 
Journal:  Gut Liver       Date:  2019-05-15       Impact factor: 4.519

Review 6.  Hepatocellular carcinoma in the elderly: Meta-analysis and systematic literature review.

Authors:  Annie K Hung; Jennifer Guy
Journal:  World J Gastroenterol       Date:  2015-11-14       Impact factor: 5.742

7.  Do young hepatocellular carcinoma patients with relatively good liver function have poorer outcomes than elderly patients?

Authors:  Soo-Jeong Cho; Jung-Hwan Yoon; Seung-Sik Hwang; Hyo-Suk Lee
Journal:  J Gastroenterol Hepatol       Date:  2007-05-13       Impact factor: 4.029

8.  The outcomes of elderly patients with hepatocellular carcinoma treated with transarterial chemoembolization.

Authors:  Thomas Yau; Tzy Jyun Yao; Pierre Chan; Richard John Epstein; Kelvin K Ng; Siu Ho Chok; Tan Teo Cheung; Sheung Tat Fan; Ronnie Tung Ping Poon
Journal:  Cancer       Date:  2009-12-01       Impact factor: 6.860

9.  Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2016: A Systematic Analysis for the Global Burden of Disease Study.

Authors:  Christina Fitzmaurice; Tomi F Akinyemiju; Faris Hasan Al Lami; Tahiya Alam; Reza Alizadeh-Navaei; Christine Allen; Ubai Alsharif; Nelson Alvis-Guzman; Erfan Amini; Benjamin O Anderson; Olatunde Aremu; Al Artaman; Solomon Weldegebreal Asgedom; Reza Assadi; Tesfay Mehari Atey; Leticia Avila-Burgos; Ashish Awasthi; Huda Omer Ba Saleem; Aleksandra Barac; James R Bennett; Isabela M Bensenor; Nickhill Bhakta; Hermann Brenner; Lucero Cahuana-Hurtado; Carlos A Castañeda-Orjuela; Ferrán Catalá-López; Jee-Young Jasmine Choi; Devasahayam Jesudas Christopher; Sheng-Chia Chung; Maria Paula Curado; Lalit Dandona; Rakhi Dandona; José das Neves; Subhojit Dey; Samath D Dharmaratne; David Teye Doku; Tim R Driscoll; Manisha Dubey; Hedyeh Ebrahimi; Dumessa Edessa; Ziad El-Khatib; Aman Yesuf Endries; Florian Fischer; Lisa M Force; Kyle J Foreman; Solomon Weldemariam Gebrehiwot; Sameer Vali Gopalani; Giuseppe Grosso; Rahul Gupta; Bishal Gyawali; Randah Ribhi Hamadeh; Samer Hamidi; James Harvey; Hamid Yimam Hassen; Roderick J Hay; Simon I Hay; Behzad Heibati; Molla Kahssay Hiluf; Nobuyuki Horita; H Dean Hosgood; Olayinka S Ilesanmi; Kaire Innos; Farhad Islami; Mihajlo B Jakovljevic; Sarah Charlotte Johnson; Jost B Jonas; Amir Kasaeian; Tesfaye Dessale Kassa; Yousef Saleh Khader; Ejaz Ahmad Khan; Gulfaraz Khan; Young-Ho Khang; Mohammad Hossein Khosravi; Jagdish Khubchandani; Jacek A Kopec; G Anil Kumar; Michael Kutz; Deepesh Pravinkumar Lad; Alessandra Lafranconi; Qing Lan; Yirga Legesse; James Leigh; Shai Linn; Raimundas Lunevicius; Azeem Majeed; Reza Malekzadeh; Deborah Carvalho Malta; Lorenzo G Mantovani; Brian J McMahon; Toni Meier; Yohannes Adama Melaku; Mulugeta Melku; Peter Memiah; Walter Mendoza; Tuomo J Meretoja; Haftay Berhane Mezgebe; Ted R Miller; Shafiu Mohammed; Ali H Mokdad; Mahmood Moosazadeh; Paula Moraga; Seyyed Meysam Mousavi; Vinay Nangia; Cuong Tat Nguyen; Vuong Minh Nong; Felix Akpojene Ogbo; Andrew Toyin Olagunju; Mahesh Pa; Eun-Kee Park; Tejas Patel; David M Pereira; Farhad Pishgar; Maarten J Postma; Farshad Pourmalek; Mostafa Qorbani; Anwar Rafay; Salman Rawaf; David Laith Rawaf; Gholamreza Roshandel; Saeid Safiri; Hamideh Salimzadeh; Juan Ramon Sanabria; Milena M Santric Milicevic; Benn Sartorius; Maheswar Satpathy; Sadaf G Sepanlou; Katya Anne Shackelford; Masood Ali Shaikh; Mahdi Sharif-Alhoseini; Jun She; Min-Jeong Shin; Ivy Shiue; Mark G Shrime; Abiy Hiruye Sinke; Mekonnen Sisay; Amber Sligar; Muawiyyah Babale Sufiyan; Bryan L Sykes; Rafael Tabarés-Seisdedos; Gizachew Assefa Tessema; Roman Topor-Madry; Tung Thanh Tran; Bach Xuan Tran; Kingsley Nnanna Ukwaja; Vasiliy Victorovich Vlassov; Stein Emil Vollset; Elisabete Weiderpass; Hywel C Williams; Nigus Bililign Yimer; Naohiro Yonemoto; Mustafa Z Younis; Christopher J L Murray; Mohsen Naghavi
Journal:  JAMA Oncol       Date:  2018-11-01       Impact factor: 31.777

10.  Changes in real-life practice for hepatocellular carcinoma patients in the Republic of Korea over a 12-year period: A nationwide random sample study.

Authors:  Beom Kyung Kim; Do Young Kim; Kwang-Hyub Han; Jinsil Seong
Journal:  PLoS One       Date:  2019-10-17       Impact factor: 3.240

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