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Prognostic performance of Hong Kong Liver Cancer with Barcelona Clinic Liver Cancer staging systems in hepatocellular carcinoma

Abstract

Background

Accurate staging is necessary for predicting hepatocellular carcinoma (HCC) prognosis and guiding patient management. The Barcelona Clinic Liver Cancer (BCLC) staging system has limitations due to heterogeneity observed among patients in BCLC stages B and C. In contrast, the Hong Kong Liver Cancer (HKLC) staging system offers more aggressive treatment strategies.

Aim

To compare the prognostic performance of HKLC and BCLC staging systems in Egyptian patients with HCC.

Methods

We conducted a retrospective study at the National Liver Institute, Menoufia University, Egypt, on 1015 HCC patients. Data was collected from patients’ medical records over 10 years (from 2008 to 2018). The BCLC and HKLC stages were identified, and Kaplan-Meier survival analysis was used to compare patients’ overall survival rates within each staging system. Additionally, we evaluated the comparative prognostic performance of the two staging systems.

Results

Hepatitis C was identified as the underlying etiology in 799 patients (78.7%), hepatitis B in 12 patients (1.2%), and non-viral causes in 204 patients (20.1%). The survival analysis demonstrated significant differences across the various stages within both the BCLC and HKLC systems. The receiver operating characteristic (ROC) curves indicated a marginally superior performance of the HKLC system in predicting survival at 1, 2, and 3 years compared to the BCLC system. Furthermore, the HKLC staging provided a slightly enhanced prognostic capability, particularly for patients classified under BCLC stages B and C, suggesting a potential survival benefit.

Conclusion

HKLC classification had a slightly better prognostic performance than BCLC staging system and may offer a survival advantage for certain patients with HCC in BCLC stage B and C HCC cases.

Peer Review reports

Introduction

Primary liver cancer is the sixth most commonly diagnosed cancer and the third leading cause of cancer death worldwide in 2020. Hepatocellular carcinoma (HCC) is the dominant type comprising 75-85% of cases [1]. The incidence rates have increased in recent decades with the highest rates observed in Asia and Africa [2]. In Egypt, HCC is one of the most challenging health problems as it represents the fourth common cancer and the leading cause of cancer-related mortality and morbidity [3]. Up to 90% of HCC cases have a cirrhotic liver, but it may also arise without cirrhosis, most commonly in patients with chronic hepatitis B or Non-alcoholic fatty liver disease (NAFLD) [4,5,6,7].

Prognostic assessment in HCC patients remains extremely difficult due to the complex interaction of tumor characteristics with the degree of liver dysfunction, patient health status and available treatment options. Several staging systems have been proposed to estimate the prognosis of HCC patients [8].

The Barcelona Clinic Liver Cancer (BCLC) staging system is the most widely applied HCC staging system that has been extensively validated. It is used to guide stage-appropriate treatment and prognostic prediction. Major leading international liver study groups such as the American Association for the Study of Liver Diseases (AASLD) and the European Association for the Study of Liver (EASL) have recommended the BCLC staging system for HCC management [5, 9,10,]– [11]. Despite its popularity, the BCLC staging system has some limitations mainly related to the heterogeneity of BCLC stages B and C patients in respect to tumor burden and liver function [12]. The BCLC approach tends to compromise the application rate of surgical and locoregional therapies in selected patients with BCLC B and C stages especially with recent advances in the surgical and radiological techniques [13].

A group of liver experts developed the Hong Kong Liver Cancer (HKLC) staging system in order to provide more aggressive treatment guidance for Asian HCC patients. According to the HKLC classification, tumor multicentricity or intrahepatic vascular invasion doesn’t contraindicate surgical resection or trans arterial chemoembolization. In addition, advanced liver disease (Child C) and early tumor without extrahepatic vascular invasion or metastases leave patients eligible for liver transplantation [14, 15].

The HKLC staging system can be used both as a prognostic score and as a staging system for treatment assignment. Compared to BCLC classification, HKLC system better stratifies patients assigned to BCLC intermediate and advanced stages resulting in better survival outcomes. The pitfall of HKLC staging system is the lack of solid external validation in non-Asian populations with clinical, biological and etiological heterogeneity since it was developed at a single Asian center that principally treats patients with hepatitis B virus (HBV) infection [8, 16]. So, it’s important to study the prognostic performance of HKLC staging system in different countries where there are more heterogeneous causes of HCC.

Materials and methods

Study design

This retrospective cohort included 1015 HCC patients who attended the multidisciplinary HCC clinic over a 10-year period (from 2008 to 2018) at the National Liver Institute, Menoufia University, Egypt.

Inclusion and exclusion criteria

Patients with a confirmed diagnosis of HCC according to the AASLD Practice Guidelines [17] were included, while those with incomplete records or other primary malignancies were excluded.

Data collection

Data were collected from patient records, including demographic details, clinical characteristics, laboratory findings, imaging results, Child-Turcotte-Pugh (CTP) class, performance status, tumor characteristics, and treatment modalities for HCC.

Data analysis

The BCLC and HKLC stages were determined using the collected data. Overall survival (OS) was defined as the period from the initial diagnosis of HCC to the date of death or last follow-up. The BCLC and HKLC staging systems were compared by calculating the median OS for all patients treated under each classification. The outcomes of patients with BCLC stage B and C HCC treated according to BCLC recommendations were compared with those treated according to HKLC guidelines [5, 14].

Statistical analysis

Statistical analysis was conducted using SPSS version 22 (Armonk, NY: IBM Corp.). Quantitative data were presented as mean, standard deviation (SD), and range, while qualitative data were reported as frequency and percentage. Kaplan-Meier survival analysis was employed to assess survival rates. The Cox regression model was utilized to compute the adjusted hazard ratio and 95% confidence intervals for the effects of various risk factors on survival. The risk ratio (RR) quantified the likelihood of an event occurring in an exposed group relative to a non-exposed comparison group. Confidence intervals (CI) provided estimates of the population parameters, with the proportion of intervals containing the true parameter value reflecting the specified confidence level. Two-sided confidence limits form a confidence interval, while one-sided limits are referred to as lower or upper confidence bounds. The receiver operating characteristic (ROC) curve was used to evaluate the overall effectiveness of tests, with larger areas under the ROC curve indicating better test performance. The Delong test was applied to compare ROC curves and assess the discriminatory ability of different staging systems in predicting survival (18). Statistical significance was defined as a p-value less than 0.05.

Results

A total of 1015 cirrhotic patients with HCC were included in the study. The baseline descriptive data of these patients were presented in Table 1. Their mean age was 58.65 ± 7.95 and 83.5% of them were males. All patients had liver cirrhosis, and the underlying etiology was mainly hepatitis C virus infection (78.7%) with 71.3% having CTP A and 75.6% with an Eastern Cooperative Oncology Group score of 0. The results of various baseline laboratory parameters were also summarized in Table 1.

Table 1 Baseline demographic, clinical criteria, lab, and tumor characteristics of all patients

Nearly half of the patients (54.7%) had a solitary tumor, 158 patients (15.6%) had either intrahepatic or extrahepatic vascular invasion and extrahepatic metastasis was observed in 43 patients (4.3%), mainly in the lymph nodes, lungs, and skeleton. According to BCLC classification, 54 patients (5.3%) were included in BCLC stage 0, 367 (36.2%) in stage A, 375 (37%) in stage B, 178 (17.5%) in stage C and 41 (4%) in stage D. When patients were classified using the HKLC staging system, 299 patients (29.4%) were categorized into HKLC stage I, 145 (14.3%) into stage IIa, 205 (20.2%) into stage IIb, 84 (8.3%) into stage IIIa, 153 (15.1%) into stage IIIb, 60 (5.9%) into stage IVa, 16 (1.6%) into stage IVb, 17 (1.7%) into stage Va and 36 patients (3.5%) into stage Vb. The comparison between BCLC and HKLC staging systems were presented in Table 2 with agreement between both systems regarding early and late stages while in intermediate stage that represent BCLC B, we found that 8.8% of patients were HKLC stage I, 7.7% were stage IIa, and 37.9% were stage IIb, so these patients could be treated with curative therapies rather than TACE and also in advanced BCLC stage C we found that 15.2% of patients were HKLC stage IIb, 0.6% were stage IIIa, and 34.8% were stage IIIb and also they could be treated with curative therapies or TACE rather than systemic therapies.

Table 2 BCLC versus HKLC staging of all patients

According to the different therapeutic options suggested by both staging systems, in our study, agreement between the HKLC and BCLC staging systems regarding treatments offered was found in 556 (54.8%) of patients while 336 (33.1%) patients received treatment according to BCLC treatment options and 123 patients (12.1%) were already treated according to the HKLC recommendations Table 3. Those 123 patients were included in BCLC stages B (23.6%) and C (76.4%). Certain patients were treated with curative therapies rather than TACE in BCLC stage B and also in advanced BCLC stage C, some of them were treated with curative therapies or TACE rather than systemic therapies Supplementary Table 1.

Table 3 Concordance between BCLC and HKLC staging systems regarding treatment modalities received in all patients

At the end of the study, 159 patients (15.7%) were alive while 775 patients (76.4%) were dead. The overall mean survival of all patients was 23.168 months while the median was 14.467 months from the date of diagnosis (Fig. 1a). There was a statistically significant difference in survival regarding different stages of both BCLC and HKLC staging systems (p-value 0.0001) (Fig. 1b) (Fig. 1c). Patients’ survival according to HKLC classification (median survival time of 15.2 months) was slightly higher than patients’ survival according to BCLC classification with median survival time of 13.7 months (p-value 0.07) (Fig. 1d). Of 459 BCLC stages B and C patients, 123 patients were treated beyond BCLC treatment options according to HKLC recommendations. Their median survival time was 14.6 months which was higher than the 336 patients treated according to BCLC options but not matching HKLC recommendations with median survival time of 12.3 months (p-value 0.01) (Fig. 1e).

Fig. 1
figure 1

a Kaplan-Meier curve for overall survival for all patients. b Kaplan-Meier curve for overall survival analysis for all patients regarding treatment according to BCLC versus according to HKLC staging systems. c Kaplan-Meier survival curve for BCLC stages B and C patients regarding treatment within BCLC VS. Within HKLC. d Kaplan-Meier survival curve for all patients regarding BCLC Stage. e Kaplan-Meier survival curve regarding HKLC Stage

Regarding comparison between the two staging systems, HKLC and BCLC according to ROC curves as shown in Fig. 2, There were statistically significant differences between them at 1, 2 and 3 years. The areas under the receiver operating characteristic curves (AUC) estimated at 1 year were 0.680, 0.635 (p-value < 0.0001), at 2 years were 0.661, 0.619 (p-value 0.001) and at 3 years were 0.667, 0.619 (p-value 0.0048) for the HKLC stage and BCLC Stage, respectively. Higher values (lager AUC) indicate larger separation of classification, indicating better discriminatory ability of the HKLC staging system to predict survival than BCLC staging system and that the HKLC system might be more suitable for predicting prognosis than the BCLC.

Fig. 2
figure 2

Receiver operating characteristic (ROC) curves for HKLC and BCLC staging systems at one, two & three years

In univariate Cox regression analysis, there was increase in the hazard risk of death with the following factors, increase age, male gender, ascites, splenomegaly, hepatitis C, alkaline phosphatase, total and direct bilirubin, AST, creatinine, and AFP levels while there was decrease in hazard risk of death with elevated albumin, prothrombin concentration and INR levels (P-value < 0.05). Regarding tumor characteristics, there was increase in the hazard risk of death with all the following factors, multiplicity of focal lesions, increase size, patients who had PVT and patients who had extrahepatic metastasis (P-value < 0.05). Also in different patients’ classification, there was increase in the hazard risk of death with upgrading all the following, Child Score, performance status, BCLC stages and HKLC stages (P-value < 0.05) Supplementary Table 2. On Multivariate Cox regression analysis, performance status, tumor size, portal vein thrombosis, total bilirubin and INR were the independent prognostic factors affecting OS for studied cases (Table 4).

Table 4 Multivariate analysis for detection of the independent factors affecting patients overall survival

Discussion

Over the years, numerous staging systems have been developed to address the complex relationship between prognostic factors in HCC patients and to recommend appropriate therapies based on disease stage. However, due to the clinical, biological, and etiological variability among different populations, no single staging system has gained universal acceptance for reliably predicting prognosis or recommending therapeutic approaches [18, 19]. Despite the BCLC staging system being the most widely used and endorsed by organizations such as EASL, EORTC, and AASLD [10, 20, 21], it has its limitations. Even with the 2022 update [22], controversial issues remain, such as the maximum tumor diameter in BCLC-A, and the lack of consideration for transitioning from palliative to curative therapy in TACE responders. Traditionally, the BCLC system recommended TACE for all patients with intermediate-stage tumors (BCLC-B) and did not advance to systemic therapy for TACE non-responders or those with multifocal tumors without metastases until the recent update [18].

In contrast, the HKLC staging system, introduced in 2014, identifies subgroups within intermediate and advanced HCC stages and advocates for more aggressive treatments to improve survival outcomes. This study aimed to compare the prognostic performance of the HKLC and BCLC staging systems in a cohort of 1,015 Egyptian HCC patients and to assess their accuracy in predicting survival. Generally, in most populations, the incidence of HCC increases with age until approximately 75 years, though the median age at diagnosis tends to be younger. In Africa, the median age at diagnosis differs significantly between Egypt (58 years) and other African countries (46 years) [2, 23]. In this study, the majority of patients (52.8%) were smokers or ex-smokers, a known co-factor for hepatocarcinogenesis [24,25,26,27].

Globally, around 80% of HCC cases are caused by HBV or HCV, with liver cirrhosis more likely to develop in HCV patients [28]. In many HBV-related HCC cases, particularly in African and Asian populations, cirrhosis is less common, resulting in better-preserved liver function [29, 30]. Therefore, patients, especially Asians, may benefit more from the aggressive treatments proposed by the HKLC system. In our cohort, chronic hepatitis C was the leading cause, reflecting the high prevalence of HCV infection in Egypt and the reduced rate of HBV infection following national infant immunization efforts [31].

Previous studies involving predominantly Western patients with chronic HCV and liver cirrhosis have suggested that the HKLC system may offer superior survival outcomes compared to the BCLC algorithm [18, 32, 33]. However, a multicenter study in France found that the HKLC system did not outperform the BCLC system in prognostic or therapeutic efficacy [34]. Notably, BCLC-B patients classified as HKLC-I/II, for whom the BCLC system recommends only TACE, could benefit from radical therapies as previously reported [35, 36]. Similarly, while surgical resection is contraindicated for BCLC stage C HCC with major vascular invasion according to the BCLC algorithm, it has led to long-term survival in a subset of such patients [37, 38]. BCLC stage C patients with intrahepatic venous invasion, classified as HKLC-II, could also benefit from radical therapies. Recent studies have confirmed that liver resection provided acceptable outcomes among selected patients with BCLC stage B and C HCC [39, 40]. BCLC stage C patients, classified as HKLC-III, could also achieve survival benefits from TACE, as previously observed [41,42,43].

This study also evaluated the ability of the HKLC and BCLC staging systems to discriminate survival across different stages. Both systems were effective in stratifying patients, consistent with findings from other studies [19, 44,45,46]. For further analysis, established statistical methods such as the DeLong test and AUC were used to assess the prognostic capabilities of the staging systems. The DeLong test, which measures discrimination between staging systems, yielded significant results [47]. AUC at 1, 2, and 3 years also differentiated patients with varying prognoses for overall survival. Our results, in line with other studies, assigned the HKLC system a higher score compared to the BCLC system [19, 44,45,46].

Several factors may contribute to the superior prognostic accuracy of the HKLC system. For instance, patients with mild tumor-related symptoms have a better prognosis and may benefit from aggressive therapies, yet the BCLC system categorizes these patients as having at least advanced HCC. Additionally, the HKLC system accounts for differences in prognosis between patients with main portal trunk invasion and those with smaller vascular branch involvement, a distinction not made by the BCLC system [45, 48]. Studies from Taiwan and Italy also suggest that more aggressive treatments than those recommended by the BCLC system could improve outcomes for each BCLC stage [49, 50]. Our results indicate that hepatic resection in a carefully selected subgroup of advanced HCC patients could yield substantial survival benefits. TACE may also provide survival advantages in some BCLC-C/HKLC-III patients in agreement with other studies [16, 19, 45].

Moreover, studies have shown that patients with preserved liver function, even those with multiple tumors, may achieve better survival with hepatic resection compared to nonsurgical treatments [51, 52]. The HKLC system’s ability to identify patients suitable for more aggressive treatments is one of its most significant features. Although the BCLC system has reasonably good discriminatory power, the HKLC system is significantly better at stratifying HCC patients into different prognostic groups [17]. Studies by Liu et al. and others have demonstrated that patients treated according to the HKLC staging system have better overall survival than those treated according to the BCLC scheme [45]. However, Li et al. found the BCLC system to be a better prognostic model than the HKLC system, even among a predominantly HBV-related HCC population in Asia [53, 54]. This discrepancy may be due to the heterogeneity of HCC in terms of clinical characteristics, biological nature, etiology, and pathophysiology across different populations. Additionally, the Child-Turcotte-Pugh (CTP) classification, integral to both BCLC and HKLC systems, may not be sensitive enough, particularly when liver function is well-preserved [55].

These findings suggest that while the BCLC system, which is simpler and more intuitive, should be applied in all HCC cases, the HKLC system can provide valuable information for managing patients, especially in the intermediate stages (BCLC B & C). Identifying independent predictors of survival for HCC patients is also essential. In this study, pretreatment variables were analyzed using univariate and multivariate methods. Several commonly available clinical, laboratory, and tumor parameters were statistically significant in univariate analysis. Multivariate analysis confirmed that ECOG performance status, tumor size, portal vein thrombosis, total bilirubin, and INR are independent predictors of survival. Treatment strategies for HCC are primarily determined by tumor size, number, liver function, and performance status, parameters that have been consistently supported by other studies as significant predictors [56,57,58,59].

This study has some limitations, including its single-center, retrospective design, which may introduce bias and limit the ability to draw definitive conclusions. Prospective, multicenter validations are needed to address these issues.

Conclusion

In conclusion, while both the BCLC and HKLC staging systems are effective in predicting and distinguishing the prognosis of HCC, the HKLC classification demonstrated slightly better prognostic performance compared to the BCLC system. This suggests that the HKLC system may offer a survival advantage by expanding treatment options for patients with intermediate-stage HCC, specifically those classified under BCLC B and C.

Availability of data and materials

Available upon request from the corresponding author.

References

  1. Sung H, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49. https://doi.org/10.3322/caac.21660.

    Article  PubMed  CAS  Google Scholar 

  2. McGlynn KA, Petrick JL, El-Serag HB. Epidemiology of hepatocellular carcinoma. Hepatology. 2021;73(S1):4–13. https://doi.org/10.1002/hep.31288.

    Article  PubMed  CAS  Google Scholar 

  3. Rashed WM, Kandeil MAM, Mahmoud MO, Ezzat S. Hepatocellular Carcinoma (HCC) in Egypt: a comprehensive overview. J Egypt Natl Canc Inst. 2020;32(1):5. https://doi.org/10.1186/s43046-020-0016-x.

    Article  PubMed  Google Scholar 

  4. Loomba R, Lim JK, Patton H, El-Serag HB. AGA clinical practice update on screening and surveillance for hepatocellular carcinoma in patients with nonalcoholic fatty liver disease: expert review. Gastroenterology. 2020;158(6):1822–30. https://doi.org/10.1053/j.gastro.2019.12.053.

    Article  PubMed  Google Scholar 

  5. Raees A, Kamran M, Özkan H, Jafri W. Updates on the diagnosis and management of hepatocellular carcinoma. Euroasian J hepato-gastroenterology. 2021;11(1):32–40. https://doi.org/10.5005/jp-journals-10018-1335.

    Article  Google Scholar 

  6. Yen YH, Cheng YF, Wang JH, Lin CC, Wang CC. Characteristics and etiologies of hepatocellular carcinoma in patients without cirrhosis: when East meets West. PLoS One. 2021;16.(1):e0244939. https://doi.org/10.1371/journal.pone.0244939.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Mehta N, Parikh ND, Kelley RK, Hameed B, Singal AG. Surveillance and monitoring of hepatocellular carcinoma during the COVID-19 pandemic. Clin Gastroenterol Hepatol. 2021;19(8):1520–30. https://doi.org/10.1016/j.cgh.2020.06.072.

    Article  PubMed  CAS  Google Scholar 

  8. Vitale A, et al. Overview of prognostic systems for hepatocellular carcinoma and ITALICA external validation of MESH and CNLC classifications. Cancers (Basel). 2021;13(7):1673. https://doi.org/10.3390/cancers13071673.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Marrero JA, et al. Diagnosis, staging, and management of hepatocellular carcinoma: 2018 practice guidance by the American association for the study of liver diseases. Hepatology. 2018;68(2):723–50. https://doi.org/10.1002/hep.29913.

    Article  PubMed  Google Scholar 

  10. European Association for the Study of the Liver . Electronic address: easloffice@easloffice.eu , European Association for the Study of the Liver. EASL clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol. 2018;69(1):182–236. https://doi.org/10.1016/j.jhep.2018.03.019.

    Article  Google Scholar 

  11. Llovet JM, et al. Hepatocellular carcinoma. Nat Rev Dis Prim. 2021;7(1):6. https://doi.org/10.1038/s41572-020-00240-3.

    Article  PubMed  Google Scholar 

  12. Moris D. A farewell to Barcelona Clinic Liver Cancer (BCLC) classification for hepatocellular carcinoma. J BUON. 2021;26(2):298–302. Available: https://www.ncbi.nlm.nih.gov/pubmed/34076971.

    PubMed  Google Scholar 

  13. Vitale A, Trevisani F, Farinati F, Cillo U. Treatment of hepatocellular carcinoma in the precision medicine era: from treatment stage migration to therapeutic hierarchy. Hepatology. 2020;72(6):2206–18. https://doi.org/10.1002/hep.31187.

    Article  PubMed  Google Scholar 

  14. Cheung TT-T, et al. Hong Kong consensus statements for the management of unresectable hepatocellular carcinoma. Liver Cancer. 2018;7(1):40–54. https://doi.org/10.1159/000485984.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Chui AMN, Yau TCC, Cheung TT. An overview in management of hepatocellular carcinoma in Hong Kong using the Hong Kong Liver Cancer (HKLC) staging system. Glob Heal Med. 2020;2(5):312–8. https://doi.org/10.35772/ghm.2020.01062.

    Article  Google Scholar 

  16. Yau T, Tang VYF, Yao T-J, Fan S-T, Lo C-M, Poon RTP. Development of Hong Kong liver cancer staging system with treatment stratification for patients with hepatocellular carcinoma. Gastroenterology. 2014;146(7):1691–700.e3. https://doi.org/10.1053/j.gastro.2014.02.032.

    Article  PubMed  Google Scholar 

  17. Bruix J, Sherman M. American Association for the study of liver diseases, management of hepatocellular carcinoma: an update. Hepatology. 2011;53(3):1020–2. https://doi.org/10.1002/hep.24199.

    Article  PubMed  Google Scholar 

  18. de Freitas LBR, Longo L, Santos D, Grivicich I, Álvares-da-Silva MR. Hepatocellular carcinoma staging systems: Hong Kong liver cancer vs Barcelona clinic liver cancer in a Western population. World J Hepatol. 2019;11(9):678–88. https://doi.org/10.4254/wjh.v11.i9.678.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Jan Lee Y-S., et al. Can more aggressive treatment improve prognosis in patients with hepatocellular carcinoma? A direct comparison of the Hong Kong liver cancer and Barcelona clinic liver cancer algorithms. Gut Liver. 2018;12(1):94–101. https://doi.org/10.5009/gnl17040.

    Article  Google Scholar 

  20. Heimbach JK, et al. AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology. 2018;67(1):358–80. https://doi.org/10.1002/hep.29086.

    Article  PubMed  Google Scholar 

  21. Bruix J, Reig M, Sherman M. Evidence-based diagnosis, staging, and treatment of patients with Hepatocellular Carcinoma. Gastroenterology. 2016;150(4):835–53. https://doi.org/10.1053/j.gastro.2015.12.041.

    Article  PubMed  Google Scholar 

  22. Reig M, et al. BCLC strategy for prognosis prediction and treatment recommendation: the 2022 update. J Hepatol. 2022;76(3):681–93. https://doi.org/10.1016/j.jhep.2021.11.018.

    Article  PubMed  Google Scholar 

  23. Feb Yang JD., et al. Characteristics, management, and outcomes of patients with hepatocellular carcinoma in Africa: a multicountry observational study from the Africa liver cancer consortium. Lancet Gastroenterol Hepatol. 2017;2(2):103–11. https://doi.org/10.1016/S2468-1253(16)30161-3.

    Article  Google Scholar 

  24. Barsouk A, Thandra KC, Saginala K, Rawla P, Barsouk A. Chemical risk factors of primary liver cancer: an update. Hepat Med. 2020;12:179–88. https://doi.org/10.2147/HMER.S278070.

    Article  PubMed  Google Scholar 

  25. Petrick JL, et al. Tobacco, alcohol use and risk of hepatocellular carcinoma and intrahepatic cholangiocarcinoma: the liver cancer pooling project. Br J Cancer. 2018;118(7):1005–12. https://doi.org/10.1038/s41416-018-0007-z.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Tanaka K, et al. Cigarette smoking and liver cancer risk: an evaluation based on a systematic review of epidemiologic evidence among Japanese. Jpn J Clin Oncol. 2006;36(7):445–56. https://doi.org/10.1093/jjco/hyl040.

    Article  PubMed  Google Scholar 

  27. El-Zayadi AR. Heavy smoking and liver. World J Gastroenterol. 2006;12(38):6098–101. https://doi.org/10.3748/wjg.v12.i38.6098.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  28. Zhang X, et al. Risk factors and prevention of viral hepatitis-related hepatocellular carcinoma. Front Oncol. 2021;11:686962. https://doi.org/10.3389/fonc.2021.686962.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  29. Perisetti A, Goyal H, Yendala R, Thandassery RB, Giorgakis E. Non-cirrhotic hepatocellular carcinoma in chronic viral hepatitis: current insights and advancements. World J Gastroenterol. 2021;27(24):3466–82. https://doi.org/10.3748/wjg.v27.i24.3466.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Jiang Y, Han Q, Zhao H, Zhang J. The mechanisms of HBV-induced hepatocellular carcinoma. J Hepatocell carcinoma. 2021;8:435–50. https://doi.org/10.2147/JHC.S307962.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Elbahrawy A, Ibrahim MK, Eliwa A, Alboraie M, Madian A, Aly HH. Current situation of viral hepatitis in Egypt. Microbiol Immunol. 2021;65(9):352–72. https://doi.org/10.1111/1348-0421.12916.

    Article  PubMed  CAS  Google Scholar 

  32. Parikh ND, et al. A comparison of Staging systems for hepatocellular carcinoma in a multicenter US cohort. Clin Gastroenterol Hepatol. 2018;16(5):781–2. https://doi.org/10.1016/j.cgh.2017.10.001.

    Article  PubMed  Google Scholar 

  33. Wallace MC, et al. HKLC triages more hepatocellular carcinoma patients to curative therapies compared to BCLC and is associated with better survival. Dig Dis Sci. 2017;62(8):2182–92. https://doi.org/10.1007/s10620-017-4622-y.

    Article  PubMed  Google Scholar 

  34. Adhoute X, Penaranda G, Bronowicki J-P, Raoul JL. Usefulness of the HKLC vs. the BCLC staging system in a European HCC cohort. J Hepatol. 2015;62(2):492–3. https://doi.org/10.1016/j.jhep.2014.08.035.

    Article  PubMed  Google Scholar 

  35. Kim JY, et al. Transarterial chemoembolization versus resection for intermediate-stage (BCLC B) hepatocellular carcinoma. Clin Mol Hepatol. 2016;22(2):250–8. https://doi.org/10.3350/cmh.2016.0015.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Galle PR, Tovoli F, Foerster F, Wörns MA, Cucchetti A, Jul Bolondi L. The treatment of intermediate stage tumours beyond TACE: from surgery to systemic therapy. J Hepatol. 2017;67(1):173–83. https://doi.org/10.1016/j.jhep.2017.03.007.

    Article  PubMed  Google Scholar 

  37. Apr Pawlik TM., et al. Hepatectomy for hepatocellular carcinoma with major portal or hepatic vein invasion: results of a multicenter study. Surgery. 2005;137(4):403–10. https://doi.org/10.1016/j.surg.2004.12.012.

    Article  Google Scholar 

  38. Ikai I, et al. Results of hepatic resection for hepatocellular carcinoma invading major portal and/or hepatic veins. Surg Oncol Clin N Am. ix,Jan. 2003,;12(1):65–75. https://doi.org/10.1016/s1055-3207(02)00082-0.

    Article  PubMed  Google Scholar 

  39. Liu YW, et al. Liver resection of hepatocellular carcinoma within and beyond the barcelona clinic liver cancer guideline recommendations: results from a high-volume liver surgery center in East Asia. J Surg Oncol. 2020;122(8):1587–94. https://doi.org/10.1002/jso.26183.

    Article  PubMed  Google Scholar 

  40. Chen YS, et al. Surgical resection significantly promotes the overall survival of patients with hepatocellular carcinoma: a propensity score matching analysis. BMC Gastroenterol. 2021;21(1):220. https://doi.org/10.1186/s12876-021-01807-4.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Kalva SP, et al. Safety and effectiveness of chemoembolization with drug-eluting beads for advanced-stage hepatocellular carcinoma. Cardiovasc Intervent Radiol. 2014;37(2):381–7. https://doi.org/10.1007/s00270-013-0654-7.

    Article  PubMed  Google Scholar 

  42. Kong JY, Li SM, Fan HY, Zhang L, Zhao HJ, Li SM. Transarterial chemoembolization extends long-term survival in patients with unresectable hepatocellular carcinoma. Medicine (Baltimore). 2018;97(33):e11872. https://doi.org/10.1097/MD.0000000000011872.

    Article  PubMed  Google Scholar 

  43. Dec Chang K-H., et al. Predictive imaging for tumor response to drug-eluting microsphere transarterial chemoembolization in patients with BCLC-C advanced hepatocellular carcinoma. Sci Rep. 2019;9(1):20032. https://doi.org/10.1038/s41598-019-56545-1.

    Article  CAS  Google Scholar 

  44. Chuncharunee A, Siramolpiwat S. Validation of the Hong Kong liver cancer staging system in patients with hepatocellular carcinoma after curative intent treatment. Asian Pac J Cancer Prev. 2017;18(6):1697–701. https://doi.org/10.22034/APJCP.2017.18.6.1697.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Liu P-H, et al. Hong Kong liver cancer staging system is associated with better performance for hepatocellular carcinoma: special emphasis on viral etiology. Medicine (Baltimore). 2015;94(41):e1772. https://doi.org/10.1097/MD.0000000000001772.

    Article  PubMed  Google Scholar 

  46. Yan X, Fu X, Cai C, Zi X, Yao H, Qiu Y. Validation of models in patients with hepatocellular carcinoma: comparison of Hong Kong Liver Cancer with Barcelona Clinic Liver Cancer staging system in a Chinese cohort. Eur J Gastroenterol Hepatol. 2015;27(10):1180–6. https://doi.org/10.1097/MEG.0000000000000418.

    Article  PubMed  CAS  Google Scholar 

  47. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837–45. Available: https://www.ncbi.nlm.nih.gov/pubmed/3203132.

    Article  PubMed  CAS  Google Scholar 

  48. Shi J, et al. Surgical treatment of hepatocellular carcinoma with portal vein tumor thrombus. Ann Surg Oncol. 2010;17(8):2073–80. https://doi.org/10.1245/s10434-010-0940-4.

    Article  PubMed  Google Scholar 

  49. Vitale A, et al. Validation of the BCLC prognostic system in surgical hepatocellular cancer patients. Transplant Proc. 2009;41(4):1260–3. https://doi.org/10.1016/j.transproceed.2009.03.054.

    Article  PubMed  CAS  Google Scholar 

  50. May Wang J-H., et al. The efficacy of treatment schedules according to Barcelona clinic liver cancer staging for hepatocellular carcinoma - survival analysis of 3892 patients. Eur J Cancer. 2008;44(7):1000–6. https://doi.org/10.1016/j.ejca.2008.02.018.

    Article  Google Scholar 

  51. Ishizawa T, et al. Neither multiple tumors nor portal hypertension are surgical contraindications for hepatocellular carcinoma. Gastroenterology. 2008;134(7):1908–16. https://doi.org/10.1053/j.gastro.2008.02.091.

    Article  PubMed  Google Scholar 

  52. Ho MC, et al. Liver resection improves the survival of patients with multiple hepatocellular carcinomas. Ann Surg Oncol. 2009;16(4):848–55. https://doi.org/10.1245/s10434-008-0282-7.

    Article  PubMed  Google Scholar 

  53. Sherman M. Staging for hepatocellular carcinoma: complex and confusing. Gastroenterology. 2014;146(7):1599–602. https://doi.org/10.1053/j.gastro.2014.04.026.

    Article  PubMed  Google Scholar 

  54. Li JW, Goh BBG, Chang PE, Tan CK. Barcelona clinic liver cancer outperforms hong kong liver cancer staging of hepatocellular carcinoma in multiethnic asians: real-world perspective. World J Gastroenterol. 2017;23(22):4054–63. https://doi.org/10.3748/wjg.v23.i22.4054.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Lee YH, et al. A new child-turcotte-pugh class 0 for patients with hepatocellular carcinoma: determinants, prognostic impact and ability to improve the current staging systems. PLoS One. 2014;9(6):e99115. https://doi.org/10.1371/journal.pone.0099115.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  56. Chapiro J, Geschwind JF. Hepatocellular carcinoma: have we finally found the ultimate staging system for HCC? Nat Rev Gastroenterol Hepatol. 2014;11(6):334–6. https://doi.org/10.1038/nrgastro.2014.67.

    Article  PubMed  Google Scholar 

  57. Liu C, et al. Prognosis evaluation in patients with hepatocellular carcinoma after hepatectomy: comparison of BCLC, TNM and Hangzhou criteria staging systems. PLoS One. 2014;9(8):e103228. https://doi.org/10.1371/journal.pone.0103228.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Kim BK. Prospective comparison of prognostic values of modified response evaluation criteria in solid tumours with European Association for the Study of the Liver criteria in hepatocellular carcinoma following chemoembolisation. Eur J Cancer. 2013;49(4):826–34. https://doi.org/10.1016/j.ejca.2012.08.022.

    Article  PubMed  Google Scholar 

  59. Tateishi R, et al. Proposal of a new prognostic model for hepatocellular carcinoma: an analysis of 403 patients. Gut. 2005;54(3):419–25. https://doi.org/10.1136/gut.2003.035055.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

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Acknowledgements

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Funding

Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB). The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Kohla M, Taha H designed the study; Ashour R, El-Abd O, Osman M participated in the acquisition of data; ELKhadry SW performed the data analysis; Ashour R, ELKhadry SW, Abozeid M, Kohla M participated in the interpretation of the data; Ashour R wrote the first draft of the manuscript; Ashour R, ELKhadry SW, Abozeid M wrote the manuscript; Kohla M, Ashour R, ELKhadry SW, Taha H, El-Abd O, Osman M revised the article critically.

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Correspondence to Sally Waheed ELKhadry.

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The study was reviewed and approved (IRB approval number 00238/2021) by the institutional review board of National Liver institute (NLI IRB 00003413), Menoufia University, Egypt. Informed consent statement was waived by the institutional review board of National Liver institute due to the retrospective nature of the study.

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Kohla, M., Ashour, R., Taha, H. et al. Prognostic performance of Hong Kong Liver Cancer with Barcelona Clinic Liver Cancer staging systems in hepatocellular carcinoma. BMC Gastroenterol 24, 318 (2024). https://doi.org/10.1186/s12876-024-03387-5

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