Abstract
Background
The survival of patients with advanced hepatocellular carcinoma (HCC) is highly variable due to heterogeneous tumoral characteristics. We proposed and validated an albumin–bilirubin (ALBI)-based model for HCC beyond Milan criteria, the ALBI-HOME, for these patients.
Methods
A total of 2186 patients were enrolled and randomly assigned to the derivation cohort (n = 1093) and validation cohort (n = 1093). Multivariate Cox proportional hazards model was used to determine significant prognostic factors in the derivation cohort. The performance of ALBI-HOME was evaluated in the validation cohort.
Results
In the Cox model, six factors were identified as independent predictors of poor survival: ALBI grade 2 [hazard ratio (HR) 1.848, 95% confidence incidence (CI) 1.556–2.195, p < 0.001], ALBI grade 3 (HR 3.266, 95% CI 2.531–4.215, p < 0.001), serum AFP ≥ 100 ng/ml (HR 1.482, 95% CI 1.279–1.717, p < 0.001), total tumor volume ≥ 250 cm3 (HR 1.503, 95% CI 1.294–1.746, p < 0.001), ascites (HR 1.400, 95% CI 1.187–1.561, p < 0.001), performance status 0–1 (HR 1.756, 95% CI 1.485–2.076 p < 0.001), and vascular invasion or metastasis (HR 2.110, 95% CI 1.809–2.0, p < 0.001). The ALBI-HOME is based on these six parameters, and the score ranges from 0 to 7. This model was associated with the best prognostic ability among different HCC staging systems to predict survival in patients beyond Milan criteria; its ability remained consistently stable in different treatment subgroups and viral etiologies.
Conclusions
The proposed ALBI-HOME is a simple and feasible predictive model for HCC beyond Milan criteria. It demonstrates superior prognostic performance among the currently used staging systems and may help identify at-risk patients to undergo more aggressive treatments.
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References
Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424.
EASL Clinical Practice Guidelines. Management of hepatocellular carcinoma. J Hepatol. 2018;69:182–236.
Villanueva A. Hepatocellular carcinoma. N Engl J Med. 2019;380:1450–1462.
Yau T, Tang VY, Yao TJ, et al. Development of Hong Kong Liver Cancer staging system with treatment stratification for patients with hepatocellular carcinoma. Gastroenterology. 2014;146:1691.e1693–1700.e1693.
Cancer of the Liver Italian Program (CLIP) Investigators. A new prognostic system for hepatocellular carcinoma: a retrospective study of 435 patients: the Cancer of the Liver Italian Program (CLIP) investigators. Hepatology. 1998;28:751–755.
Hsu CY, Huang YH, Hsia CY, et al. A new prognostic model for hepatocellular carcinoma based on total tumor volume: the Taipei Integrated Scoring System. J Hepatol.. 2010;53:108–117.
Kudo M, Chung H, Osaki Y. Prognostic staging system for hepatocellular carcinoma (CLIP score): its value and limitations, and a proposal for a new staging system, the Japan Integrated Staging Score (JIS score). J Gastroenterol. 2003;38:207–215.
Okuda K, Obata H, Nakajima Y, et al. Prognosis of primary hepatocellular carcinoma. Hepatology. 1984;4:3s–6s.
Testa R, Testa E, Giannini E, et al. Trans-catheter arterial chemoembolisation for hepatocellular carcinoma in patients with viral cirrhosis: role of combined staging systems, Cancer Liver Italian Program (CLIP) and Model for End-stage Liver Disease (MELD), in predicting outcome after treatment. Aliment Pharmacol Ther. 2003;17:1563–1569.
El-Serag HB. Hepatocellular carcinoma. N Engl J Med. 2011;365:1118–1127.
Liu PH, Hsu CY, Hsia CY, et al. ALBI and PALBI grade predict survival for HCC across Treatment Modalities And BCLC stages in the MELD era. J Gastroenterol Hepatol. 2017;32:879–886.
Johnson PJ, Berhane S, Kagebayashi C, et al. Assessment of liver function in patients with hepatocellular carcinoma: a new evidence-based approach-the ALBI grade. J Clin Oncol. 2015;33:550–558.
Kim JH, Sinn DH, Lee JH, et al. Novel albumin–bilirubin grade-based risk prediction model for patients with hepatocellular carcinoma undergoing chemoembolization. Dig Dis Sci. 2018;63:1062–1071.
Liu PH, Hsu CY, Hsia CY, et al. Prognosis of hepatocellular carcinoma: assessment of eleven staging systems. J Hepatol. 2016;64:601–608.
Chapiro J, Geschwind JF. Hepatocellular carcinoma: have we finally found the ultimate staging system for HCC? Nat Rev Gastroenterol Hepatol. 2014;11:334–336.
Ronot M, Purcell Y, Vilgrain V. Hepatocellular carcinoma: current imaging modalities for diagnosis and prognosis. Dig Dis Sci. 2019;64:934–950.
Lee YH, Hsu CY, Huang YH, et al. Vascular invasion in hepatocellular carcinoma: prevalence, determinants and prognostic impact. J Clin Gastroenterol. 2014;48:734–741.
Hsu CY, Liu PH, Ho SY, et al. Metastasis in patients with hepatocellular carcinoma: prevalence, determinants, prognostic impact and ability to improve the Barcelona Clinic Liver Cancer system. Liver Int. 2018;38:1803–1811.
Oken MM, Creech RH, Tormey DC, et al. Toxicity and response criteria of the Eastern Cooperative Oncology Group. Am J Clin Oncol. 1982;5:649–655.
Hsu CY, Liu PH, Hsia CY, et al. Surgical resection is better than transarterial chemoembolization for patients with hepatocellular carcinoma beyond the Milan criteria: a prognostic nomogram study. Ann Surg Oncol. 2016;23:994–1002.
Fontana RJ, Hamidullah H, Nghiem H, et al. Percutaneous radiofrequency thermal ablation of hepatocellular carcinoma: a safe and effective bridge to liver transplantation. Liver Transpl. 2002;8:1165–1174.
Lee IC, Huo TI, Huang YH, et al. Transarterial chemoembolization can prolong survival for patients with metastatic hepatocellular carcinoma: a propensity score matching analysis. Hepatol Int. 2012;6:753–762.
Saffo S, Taddei TH. Systemic management for advanced hepatocellular carcinoma: a review of the molecular pathways of carcinogenesis, current and emerging therapies, and novel treatment strategies. Dig Dis Sci. 2019;64:1016–1029.
Oh IS, Sinn DH, Kang TW, et al. Liver function assessment using albumin–bilirubin grade for patients with very early-stage hepatocellular carcinoma treated with radiofrequency ablation. Dig Dis Sci. 2017;62:3235–3242.
Tateishi R, Yoshida H, Shiina S, et al. Proposal of a new prognostic model for hepatocellular carcinoma: an analysis of 403 patients. Gut. 2005;54:419–425.
Hosmer DW, Hosmer T, Le Cessie S, Lemeshow S. A comparison of goodness-of-fit tests for the logistic regression model. Stat Med. 1997;16:965–980.
Feinstein AR. Clinical biostatistics. XVI. The process of prognostic stratification. 2. Clin Pharmacol Ther. 1972;13:609–624.
Forster MR. Key concepts in model selection: performance and generalizability. J Math Psychol. 2000;44:205–231.
Pourhoseingholi MA, Hajizadeh E, Moghimi Dehkordi B, et al. Comparing Cox regression and parametric models for survival of patients with gastric carcinoma. Asian Pac J Cancer Prev. 2007;8:412–416.
Cho Y, Sinn DH, Yu SJ, et al. Survival analysis of single large (> 5 cm) hepatocellular carcinoma patients: BCLC A versus B. PLoS ONE. 2016;11:e0165722.
Hiraoka A, Kumada T, Michitaka K, et al. Usefulness of albumin–bilirubin grade for evaluation of prognosis of 2584 Japanese patients with hepatocellular carcinoma. J Gastroenterol Hepatol. 2016;31:1031–1036.
European Association for the Study of the Liver. EASL clinical practice guidelines on the management of ascites, spontaneous bacterial peritonitis, and hepatorenal syndrome in cirrhosis. J Hepatol. 2010;53:397–417.
Moore KP, Aithal GP. Guidelines on the management of ascites in cirrhosis. Gut. 2006;55:vi1–vi12.
Hsu CY, Lee YH, Huang YH, et al. Ascites in patients with hepatocellular carcinoma: prevalence, associated factors, prognostic impact, and staging strategy. Hepatol Int. 2013;7:188–198.
Grasso A, Stigliano R, Morisco F, et al. Liver transplantation and recurrent hepatocellular carcinoma: predictive value of nodule size in a retrospective and explant study. Transplantation. 2006;81:1532–1541.
Toso C, Trotter J, Wei A, et al. Total tumor volume predicts risk of recurrence following liver transplantation in patients with hepatocellular carcinoma. Liver Transpl. 2008;14:1107–1115.
Tangkijvanich P, Anukulkarnkusol N, Suwangool P, et al. Clinical characteristics and prognosis of hepatocellular carcinoma: analysis based on serum alpha-fetoprotein levels. J Clin Gastroenterol. 2000;31:302–308.
Yamashita T, Ji J, Budhu A, et al. EpCAM-positive hepatocellular carcinoma cells are tumor-initiating cells with stem/progenitor cell features. Gastroenterology. 2009;136:1012–1024.
Hsu CY, Liu PH, Lee YH, et al. Using serum alpha-fetoprotein for prognostic prediction in patients with hepatocellular carcinoma: what is the most optimal cutoff? PLoS ONE. 2015;10:e01188.
Acknowledgments
This study was supported by the grants from Taipei Veterans General Hospital (V107A-008, VN107-04, V108A-002, V108C-008, VN108-05), Taipei, Taiwan.
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S.-Y. Ho and T.-I. Huo performed the research and wrote the paper. C.-Y. Hsu, P.-H. Liu, C.-Y. Hsia, and C.-W. Su collected and analyzed the data. H.-J. Lei, Y.-H. Huang, R.-C. Lee, and M.-C. Hou contributed to study design and data collection. All authors approved the final version of the manuscript.
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Ho, SY., Liu, PH., Hsu, CY. et al. A New Prognostic Model Based on Albumin–Bilirubin Grade for Hepatocellular Carcinoma Beyond the Milan Criteria. Dig Dis Sci 65, 658–667 (2020). https://doi.org/10.1007/s10620-019-05813-1
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DOI: https://doi.org/10.1007/s10620-019-05813-1