Validation of a model to estimate survival in ambulatory patients with hepatocellular carcinoma: a single-centre cohort study

Nationwide Trends and the Influence of Age and Gender in the In-Patient Care of Patients with Hepatocellular Carcinoma in Germany between 2010 and 2020

This study analyzes nationwide trends in HCC hospitalizations focusing on interventional liver-directed treatments and the influence of age and gender. Using data from the German Federal Statistical Office all hospitalizations for HCC between 2010 and 2020 were included. Uni- and multivariable logistic regression analyses were performed to identify variables independently associated with the use of liver-directed therapies. Due to the COVID-19 pandemic, data from 2020 were analyzed separately. A total of 134,713 hospitalizations (2010-2019) were included, increasing by 3.4% annually (12,707 to 13,143). The mean in-hospital stay (-15.0% [7.2 to 6.1 days]) and mortality (-23.2% [6.8 to 5.2%]) decreased while transarterial, surgical, and percutaneous ablative interventions increased by 38.6, 31.5, and 19.3%, respectively. In-hospital mortality was 7.7% in admissions with surgical treatment, while it was 0.6 and 0.5% for transarterial and percutaneous interventions. Mortality was higher in females (6.2 vs. 5.7%). Females (OR 0.89 [0.86,0.91], p < 0.001) and patients ≥80 years (OR 0.81 [0.79,0.84], p < 0.001) were less likely to receive liver-directed treatments. Liver-directed therapies were increasingly performed while in-hospital mortality and in-hospital stay decreased. Minimally invasive approaches showed lower mortality, shorter in-hospital stay, and lower costs compared to surgery. Proportionately, more women and older patients were hospitalized, receiving fewer liver-directed treatments while their mortality was higher.

Prognostic models for outcome prediction in patients with advanced hepatocellular carcinoma treated by systemic therapy: a systematic review and critical appraisal

Objective

To describe and analyze the predictive models of the prognosis of patients with hepatocellular carcinoma (HCC) undergoing systemic treatment.

Design

Systematic review.

Data sources

PubMed and Embase until December 2020 and manually searched references from eligible articles.

Eligibility criteria for study selection

The development, validation, or updating of prognostic models of patients with HCC after systemic treatment.

Results

The systematic search yielded 42 eligible articles: 28 articles described the development of 28 prognostic models of patients with HCC treated with systemic therapy, and 14 articles described the external validation of 32 existing prognostic models of patients with HCC undergoing systemic treatment. Among the 28 prognostic models, six were developed based on genes, of which five were expressed in full equations; the other 22 prognostic models were developed based on common clinical factors. Of the 28 prognostic models, 11 were validated both internally and externally, nine were validated only internally, two were validated only externally, and the remaining six models did not undergo any type of validation. Among the 28 prognostic models, the most common systemic treatment was sorafenib (n = 19); the most prevalent endpoint was overall survival (n = 28); and the most commonly used predictors were alpha-fetoprotein (n = 15), bilirubin (n = 8), albumin (n = 8), Child–Pugh score (n = 8), extrahepatic metastasis (n = 7), and tumor size (n = 7). Further, among 32 externally validated prognostic models, 12 were externally validated > 3 times.

Conclusions

This study describes and analyzes the prognostic models developed and validated for patients with HCC who have undergone systemic treatment. The results show that there are some methodological flaws in the model development process, and that external validation is rarely performed. Future research should focus on validating and updating existing models, and evaluating the effects of these models in clinical practice.

Systematic review registration

PROSPERO CRD42020200187.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09841-5.

A Novel Prognostic Model for Identifying the Risk of Hepatocellular Carcinoma Based on Angiogenesis Factors

Hepatocellular carcinoma (HCC) is the most common primary liver cancer with poor prognosis. An optimized stratification of HCC patients to discriminate clinical benefit regarding different degrees of malignancy is urgently needed because of no effective and reliable prognostic biomarkers currently. HCC is typically characterized by rich vascular. The dysregulated vascular endothelial growth factor was proved a pivotal regulator of the development of HCC. Therefore, we investigated the capability of angiogenic factors (AFs) in stratifying patients and constructed a prognostic risk model. A total of 6 prognostic correlated AFs (GRM8, SPC25, FSD1L, SLC386A, FAM72A and SLC39A10) were screened via LASSO Cox regression, which provided the basis for developing a novel prognostic risk model. Based on the risk model, HCC patients were subdivided into high-risk and low-risk groups. Kaplan-Meier curve indicated that patients in the high-risk group have a lower survival rate compared with those in the low-risk group. The prognostic model showed good predictive efficacy, with AUCs reaching 0.802 at 1 year, 0.694 at 2 years, and 0.672 at 3 years. Univariate and multivariate cox regression analysis demonstrated that the risk score had significant prognostic value and was an independent prognostic factor for HCC. Moreover, this model also showed a good diagnostic positive rate in the ICGC-LIRI-JP and GSE144269. Finally, we demonstrated the efficacy of the AF-risk model in HCC patients following sorafenib adjuvant chemotherapy. And revealed the underlying molecular features involving tumor stemness, immune regulation, and genomic alterations associated with the risk score. Based on a large population, we established a novel prognostic model based on 6 AFs to help identify HCC patients with a greater risk of death. The model may provide a reference for better clinical management of HCC patients in the era of cancer precision medicine.

Monofocal hepatocellular carcinoma: How much does size matter?

BACKGROUND & AIMS

According to the Barcelona Clinic Liver Cancer (BCLC) staging system, monofocal hepatocellular carcinoma (HCC) is classified as early (BCLC A) irrespective of its size, even though controversies still exist regarding staging and treatment of large tumours. We aimed at evaluating the appropriate staging and treatment for large (>5 cm) monofocal (HCC).

METHODS

From the Italian Liver Cancer database, we selected 924 patients with small early monofocal HCC (2-5 cm; SEM-HCC), 163 patients with larger tumours (>5 cm; LEM-HCC) and 1048 intermediate stage patients (BCLC B).

RESULTS

LEM-HCC patients had a worse overall survival (OS) than SEM-HCC (31.0 vs 49.0 months; P < .0001), and this was confirmed at multivariate analysis (HR 1.63, 95% CI 1.29-2.05; P < .0001). The small difference in OS between LEM-HCC and BCLC B patients (31.0 vs 27.0 months; P = .03) disappeared in the multivariate model (HR 0.98, 95% CI 0.77-1.25; P = .89). In all monofocal tumours, treatment was the strongest independent predictor of survival, with a progressively decreasing survival benefit moving from "curative" to "palliative" therapies. The survival of resected patients with LEM-HCC was significantly shorter than that of SEM-HCC (44.0 vs 78.0 months; P = .002), but liver resection provided the highest survival benefit in both groups compared to other treatments.

CONCLUSIONS

Monofocal HCC larger than 5 cm should not be staged as BCLC A and either a different staging system or a different subgrouping of patients (e.g. BCLC AB) should be used. Liver resection, if feasible, remains the recommended treatment for all these patients.

Appraisal of a Model to Estimate Survival in Ambulatory Patients with Hepatocellular Carcinoma Classified as Barcelona Clinic Liver Cancer Stage B

Background/Aims

Patients with an intermediate stage of hepatocellular carcinoma (HCC) represent a highly heterogeneous population; therefore, many models have been proposed to predict the survival of these patients. The aim of this study was to evaluate the prognostic performance of a novel subclassification for tumors classified as Barcelona Clinic Liver Cancer (BCLC) stage B using the Model to Estimate Survival in Ambulatory HCC patients (MESIAH).

Methods

This analysis was based on 377 patients with HCC treated at Seoul National University Hospital (training cohort) and 189 patients at the Soonchunhyang University Bucheon Hospital (validation cohort). Four subclassification systems were tested: MESIAH; original BCLC B subclassification (B1, B2, B3, and B4); modified model A (B1, B2, and B3+B4); and modified model B (B1, B2+B3, and B4).

Results

Median survival progressively decreased from stage B1 through stages B2 to B3 according to the new MESIAH subclassification (p<0.001). Moreover, significantly different survival among contiguous stages was observed. In the multivariable Cox regression, the MESIAH subclassification was an independent predictor of overall survival (p<0.001). In terms of discrimination and calibration, MESIAH performed better than the original BCLC B subclassification, modified model A and modified model B.

Conclusions

The MESIAH model would be an effective tool for stratifying heterogeneous BCLC stage B cancer, and the ability of this model to predict survival is better than that of the other previously proposed models.

The Model to Estimate Survival in Ambulatory Hepatocellular Carcinoma Patients Aids in the Decision for TACE Retreatment

BACKGROUND/AIMS

Transarterial chemoembolization (TACE) is a major therapeutic modality for patients with unresectable hepatocellular carcinoma, which needs repeated treatments. Model to Estimate Survival in Ambulatory Hepatocellular carcinoma patients (MESIAH) was recently developed as a model for predicting survival. We aimed to develop a novel index for TACE retreatment using MESIAH scores.

PATIENTS AND METHODS

From 2005 to 2008, 783 patients with hepatocellular carcinoma who had undergone 1 previous TACE procedure were enrolled. We calculated their pre-TACE and post-TACE-MESIAH and calculated the MESIAH ratio by dividing the post-TACE by pre-TACE score. The discriminatory abilities of the MESIAH ratio and post-TACE-MESIAH were compared with ART and ABCR scores.

RESULTS

Among 783 patients, 355 (45.3%) received a second TACE (test set), and 195 (24.9%) patients received a third TACE treatment (validation set). In the test set, patients with a MESIAH ratio <0.9 obtained longer overall survival than patients with a MESIAH ratio ≥0.9 [26.0 vs. 9.0 mo, respectively; hazard ratio 1.66 (1.29-2.14)], and patients with a post-TACE-MESIAH<4.5 showed longer overall survival than patients with a post-TACE-MESIAH≥4.5 [38.0 vs. 7.0 mo, respectively; hazard ratio, 3.17 (2.45-4.09)]. The post-TACE-MESIAH [C-index 0.663 (0.628-0.697)] was better than the ART [C-index 0.596 (0.554-0.638)] and ABCR scores [C-index 0.576 (0.536-0.617)] at estimating prognosis. Our results were confirmed by the validation set.

CONCLUSIONS

A MESIAH score ≥4.5 after TACE identifies patients with a poor prognosis. Randomized studies are needed to establish whether additional TACE may affect survival.

Acetylation of alpha-fetoprotein promotes hepatocellular carcinoma progression

Alpha-fetoprotein (AFP) is a well-established biomarker for hepatocellular carcinoma (HCC). Here, we investigated the acetylation state of AFP in vivo. AFP acetylation was regulated by the acetyltransferase CBP and the deacetylase SIRT1. Acetylation of AFP at lysines 194, 211, and 242 increased the stability of AFP protein by decreasing its ubiquitination and proteasomal degradation. AFP acetylation promoted its oncogenic role by blocking binding to the phosphatase PTEN and the pro-apoptotic protein caspase-3, which increased signaling for proliferation, migration, and invasion and decreased apoptosis. High levels of acetylated AFP in HCC tissues were associated with HBV infection and correlated with poor prognosis and decreased patient survival. In HCC cells, hepatitis B virus X protein (HBx) and palmitic acid (PA) increased the level of acetylated AFP by disrupting SIRT1-mediated deacetylation. AFP acetylation plays an important role in HCC progression and provides a new potential prognostic marker and therapeutic target for HCC.

The concept of therapeutic hierarchy for patients with hepatocellular carcinoma: A multicenter cohort study

BACKGROUND

The Italian Liver Cancer (ITA.LI.CA) prognostic system for patients with hepatocellular carcinoma (HCC) has recently been proposed and validated. We sought to explore the relationship among the ITA.LI.CA prognostic variables (ie tumour stage, functional score based on performance status and Child-Pugh score, and alpha-fetoprotein), treatment selection and survival outcome in HCC patients.

PATIENTS AND METHODS

We analysed 4,867 consecutive HCC patients undergoing six main treatment strategies (liver transplantation, LT; liver resection, LR; ablation, ABL; intra-arterial therapy, IAT; Sorafenib, SOR; and best supportive care, BSC) and enrolled during 2002-2015 in a multicenter Italian database. In order to control pretreatment imbalances in observed variables, a machine learning methodology was used and inverse probability of treatment weights (IPTW) was calculated. An IPTW-adjusted multivariate survival model that included ITA.LI.CA prognostic variables, treatment period and treatment strategy was then developed. The survival benefit of HCC treatments was described as a hazard ratio (95% confidence interval), using BSC as a reference value and as predicted median survival.

RESULTS

After the IPTW, the six treatment groups became well balanced for most baseline characteristics. In the IPTW-adjusted multivariate survival model, treatment strategy was found to be the strongest survival predictor, irrespective of ITA.LI.CA prognostic variables and treatment period. The survival benefit of different therapies over BSC was: LT = 0.19 (0.18-0.20); RES = 0.40 (0.37-0.42); ABL 0.42 (0.40-0.44); IAT = 0.58 (0.55-0.61); SOR = 0.92 (0.87-0.97). This multivariate model was then used to predict median survival for each therapy within each ITA.LI.CA stage.

CONCLUSION

The concept of therapeutic hierarchy was established within each ITA.LI.CA stage.

Intention-to-treat survival benefit of liver transplantation in patients with hepatocellular cancer

The debate about the best approach to select patients with hepatocellular cancer (HCC) waiting for liver transplantation (LT) is still ongoing. This study aims to identify the best variables allowing to discriminate between "high-" and "low-benefit" patients. To do so, the concept of intention-to-treat (ITT) survival benefit of LT has been created. Data of 2,103 adult HCC patients consecutively enlisted during the period 1987-2015 were analyzed. Three rigorous statistical steps were used in order to create the ITT survival benefit of LT: the development of an ITT LT and a non-LT survival model, and the individual prediction of the ITT survival benefit of LT defined as the difference between the median ITT survival with (based on the first model) and without LT (based on the second model) calculated for each enrolled patient. Four variables (Model for End-Stage Liver Disease, alpha-fetoprotein, Milan-Criteria status, and radiological response) displayed a high effect in terms of delta benefit. According to these risk factors, four benefit groups were identified. Patients with three to four factors ("no-benefit group"; n = 405 of 2,103; 19.2%) had no benefit of LT compared to alternative treatments. Conversely, patients without any risk factor ("large-benefit group"; n = 108; 5.1%) yielded the highest benefit from LT reaching 60 months.

CONCLUSION

The ITT transplant survival benefit presented here allows physicians to better select HCC patients waiting for LT. The obtained stratification may lead to an improved and more equitable method of organ allocation. Patients without benefit should be de-listed, whereas patients with large benefit ratio should be prioritized for LT. (Hepatology 2017;66:1910-1919).

A model to estimate survival in ambulatory patients with hepatocellular carcinoma: Can it predict the natural course of hepatocellular carcinoma?

BACKGROUND

Several hepatocellular carcinoma (HCC) staging systems are available including the newly developed staging system, the Model to Estimate Survival in Ambulatory HCC patients (MESIAH); however, whether these staging systems could predict the natural course of HCC is largely unknown.

METHODS

1013 patients with history of HCC treatment and 111 patients without any history of treatment till death or last follow-up at a single tertiary hospital were included.

RESULTS

The MESIAH score showed a better discrimination ability, with a C-statistic of 0.835 [95% confidence interval (CI), 0.810-0.861] in the group of treated patients compared to the Barcelona Clinic Liver Cancer (BCLC) staging system [0.739 (95% CI, 0.709-0.769)] before propensity score matching. However, the MESIAH score failed to stratify patients according to their risk of death in the group of untreated patients unlike the BCLC staging system. Propensity score matching analysis confirmed that the MESIAH score was most strongly influenced by whether treatment was given or not.

CONCLUSIONS

Although the MESIAH score provided better prognostic stratification than other staging systems in treated HCC patients, it was not helpful in predicting the natural course of HCC. Since the treatment affects patient outcome and prognosis, it is necessary to develop a new staging system that can also reflect the natural course of HCC.

A model predicting survival of patients with recurrent or progressive hepatocellular carcinoma: the MORE score

BACKGROUND AND AIM

Most prognostic models for hepatocellular carcinoma are based on data at the time of diagnosis. However, the disease frequently recurs or progresses after initial treatment, with changes in tumor burden and clinical status. Therefore, we developed a risk score model to predict survival of hepatocellular carcinoma patients at the time of disease recurrence or progression.

METHODS

Of 1972 patients newly diagnosed with hepatocellular carcinoma at the National Cancer Center, Korea, between January 2004 and December 2009, 1301 with recurrent or progressive disease were enrolled. They were randomly classified into a development (75%, n = 976) and a validation cohort (25%, n = 325). A survival prediction method was established in the development cohort using the multivariate Cox proportional hazards model, and its performance was evaluated on the validation cohort.

RESULTS

A model predicting survival of patients with recurrent or progressive hepatocellular carcinoma was developed using some known independent prognostic factors for overall survival: age, albumin, Model for End-Stage Liver Disease score, tumor burden, serum alpha-fetoprotein level, and presence of ascites. In addition, initial treatment modality and best response after initial treatment were also independent prognostic factors and were incorporated in the model. The C-statistics and χ² statistics of this novel score for the validation cohort were 0.808 (95% CI: 0.781-0.834) and 4.408 for 3-year survival.

CONCLUSIONS

A new model to predict survival of patients with recurrent or progressive hepatocellular carcinoma was developed and validated. This model may be useful for planning subsequent treatments.

The recommended treatment algorithms of the BCLC and HKLC staging systems: does following these always improve survival rates for HCC patients?

BACKGROUND & AIMS

Several staging systems have been proposed for hepatocellular carcinoma (HCC). Among them, only the Barcelona Clinic Liver Cancer (BCLC) and Hong Kong Liver Cancer (HKLC) staging systems also recommend treatment modality. This study was designed to see whether BCLC and HKLC staging can guide treatment strategy, so analyzed whether patients survival is better for those who received recommended therapy by each staging system.

METHODS

A total of 3515 treatment-naïve, newly diagnosed HCC patients at a single centre were analyzed.

RESULTS

Five-year survival rates according to BCLC stages: 0 = 79.1%, A = 62.9%, B = 40.3%, C = 21.3% and D = 27.0%; 5-year survival rates according to HKLC stages: I = 72.3%, IIa = 54.9%, IIb = 50.6%, IIIa = 21.3%, IIIb = 10.2%, IVa = 16.7%, IVb = 7.2%, Va = 47.1% and Vb = 11.3%. The C-indices of the BCLC and HKLC staging systems were 0.708 and 0.732 respectively. Patient survival was better when patients received the recommended treatment in stages 0 or A; survival was worse if treatment began at stage B, C or D. For HKLC staging system, survival was better when patients received the recommended treatment in stages I, IIa, IIb, IIIa or Va but was worse when treatment began in stages IIIb, IVa, IVb or Vb.

CONCLUSION

Both the BCLC and HKLC staging systems effectively stratified patient prognosis, but neither could direct therapy for a large proportion of patients; for some stages, recommended therapy was associated with worse prognosis.

Development and Validation of a New Prognostic System for Patients with Hepatocellular Carcinoma

BACKGROUND

Prognostic assessment in patients with hepatocellular carcinoma (HCC) remains controversial. Using the Italian Liver Cancer (ITA.LI.CA) database as a training set, we sought to develop and validate a new prognostic system for patients with HCC.

METHODS AND FINDINGS

Prospective collected databases from Italy (training cohort, n = 3,628; internal validation cohort, n = 1,555) and Taiwan (external validation cohort, n = 2,651) were used to develop the ITA.LI.CA prognostic system. We first defined ITA.LI.CA stages (0, A, B1, B2, B3, C) using only tumor characteristics (largest tumor diameter, number of nodules, intra- and extrahepatic macroscopic vascular invasion, extrahepatic metastases). A parametric multivariable survival model was then used to calculate the relative prognostic value of ITA.LI.CA tumor stage, Eastern Cooperative Oncology Group (ECOG) performance status, Child-Pugh score (CPS), and alpha-fetoprotein (AFP) in predicting individual survival. Based on the model results, an ITA.LI.CA integrated prognostic score (from 0 to 13 points) was constructed, and its prognostic power compared with that of other integrated systems (BCLC, HKLC, MESIAH, CLIP, JIS). Median follow-up was 58 mo for Italian patients (interquartile range, 26-106 mo) and 39 mo for Taiwanese patients (interquartile range, 12-61 mo). The ITA.LI.CA integrated prognostic score showed optimal discrimination and calibration abilities in Italian patients. Observed median survival in the training and internal validation sets was 57 and 61 mo, respectively, in quartile 1 (ITA.LI.CA score ≤ 1), 43 and 38 mo in quartile 2 (ITA.LI.CA score 2-3), 23 and 23 mo in quartile 3 (ITA.LI.CA score 4-5), and 9 and 8 mo in quartile 4 (ITA.LI.CA score > 5). Observed and predicted median survival in the training and internal validation sets largely coincided. Although observed and predicted survival estimations were significantly lower (log-rank test, p < 0.001) in Italian than in Taiwanese patients, the ITA.LI.CA score maintained very high discrimination and calibration features also in the external validation cohort. The concordance index (C index) of the ITA.LI.CA score in the internal and external validation cohorts was 0.71 and 0.78, respectively. The ITA.LI.CA score's prognostic ability was significantly better (p < 0.001) than that of BCLC stage (respective C indexes of 0.64 and 0.73), CLIP score (0.68 and 0.75), JIS stage (0.67 and 0.70), MESIAH score (0.69 and 0.77), and HKLC stage (0.68 and 0.75). The main limitations of this study are its retrospective nature and the intrinsically significant differences between the Taiwanese and Italian groups.

CONCLUSIONS

The ITA.LI.CA prognostic system includes both a tumor staging-stratifying patients with HCC into six main stages (0, A, B1, B2, B3, and C)-and a prognostic score-integrating ITA.LI.CA tumor staging, CPS, ECOG performance status, and AFP. The ITA.LI.CA prognostic system shows a strong ability to predict individual survival in European and Asian populations.

Korean Version of a Model to Estimate Survival in Ambulatory Patients with Hepatocellular Carcinoma (K-MESIAH)

Background and Aim

A model to estimate survival in ambulatory hepatocellular carcinoma patients (MESIAH) is useful for estimating patient prognosis but needs improvement for Korean patients, most of whom have a hepatitis B virus. We aimed to modify the MESIAH for better prognostication through enhancing calibration for Korean patient population (K-MESIAH).

Methods

Utilizing a cohort of 1,969 hepatocellular carcinoma (HCC) patients from the National Cancer Center of Korea between 2004 and 2009, a survival prediction model was developed using the Cox proportional hazards model. The model’s performance was evaluated using C-statistical and χ²-statistical analyses. External validation was performed using an independent cohort of 328 patients from the Seoul National University Bundang Hospital.

Results

To develop the K-MESIAH, etiology was added to the original risk factors (age, Model for Endstage Liver Disease, albumin, size of the largest nodule, number of tumor nodules, vascular invasion, metastasis, and alpha fetoprotein) in the MESIAH. From the internal validation study, the C-statistics and χ²-statistics for one-, three-, and five-years of survival were 0.83 (95% Confidence Interval: 0.82−0.85), 49.07; 0.81 (95% Confidence Interval: 0.79−0.82), 28.95; and 0.80 (95% Confidence Interval: 0.79−0.81), 20.93, respectively. The K-MESIAH also showed a high prediction ability for the external validation cohort.

Conclusions

A survival prediction model for Korean HCC patients was developed and validated to have a high level of performance. This K-MESIAH may be more useful in clinical practice and personalized care in a hepatitis B virus endemic area.

2014 KLCSG-NCC Korea Practice Guideline for the Management of Hepatocellular Carcinoma

The guideline for the management of hepatocellular carcinoma (HCC) was first developed in 2003 and revised in 2009 by the Korean Liver Cancer Study Group and the National Cancer Center, Korea. Since then, many studies on HCC have been carried out in Korea and other countries. In particular, a substantial body of knowledge has been accumulated on diagnosis, staging, and treatment specific to Asian characteristics, especially Koreans, prompting the proposal of new strategies. Accordingly, the new guideline presented herein was developed on the basis of recent evidence and expert opinions. The primary targets of this guideline are patients with suspicious or newly diagnosed HCC. This guideline provides recommendations for the initial treatment of patients with newly diagnosed HCC.

2014 Korean Liver Cancer Study Group-National Cancer Center Korea practice guideline for the management of hepatocellular carcinoma

The guideline for the management of hepatocellular carcinoma (HCC) was first developed in 2003 and revised in 2009 by the Korean Liver Cancer Study Group and the National Cancer Center, Korea. Since then, many studies on HCC have been carried out in Korea and other countries. In particular, a substantial body of knowledge has been accumulated on diagnosis, staging, and treatment specific to Asian characteristics, especially Koreans, prompting the proposal of new strategies. Accordingly, the new guideline presented herein was developed on the basis of recent evidence and expert opinions. The primary targets of this guideline are patients with suspicious or newly diagnosed HCC. This guideline provides recommendations for the initial treatment of patients with newly diagnosed HCC.

Staging systems for hepatocellular carcinoma: Current status and future perspectives

Hepatocellular carcinoma (HCC) is a major health concern worldwide and the third cause of cancer-related death. Despite advances in treatment as well as careful surveillance programs, the mortality rates in most countries are very high. In contrast to other cancers, the prognosis and treatment of HCC depend on the tumor burden in addition to patient’s underlying liver disease and liver functional reserve. Moreover, there is considerable geographic and institutional variation in both risk factors attributable to the underlying liver diseases and the management of HCC. Therefore, although many staging and/or scoring systems have been proposed, there is currently no globally accepted system for HCC due to the extreme heterogeneity of the disease. The aim of this review is to focus on currently available staging systems as well as those newly reported in the literatures since 2012. Moreover, we describe problems with currently available staging systems and attempts to modify and/or add variables to existing staging systems.