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A New Prognostic Model Based on Albumin–Bilirubin Grade for Hepatocellular Carcinoma Beyond the Milan Criteria

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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

  1. 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.

    Article  Google Scholar 

  2. EASL Clinical Practice Guidelines. Management of hepatocellular carcinoma. J Hepatol. 2018;69:182–236.

    Article  Google Scholar 

  3. Villanueva A. Hepatocellular carcinoma. N Engl J Med. 2019;380:1450–1462.

    Article  CAS  Google Scholar 

  4. 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.

    Article  Google Scholar 

  5. 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.

    Article  Google Scholar 

  6. 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.

    Article  Google Scholar 

  7. 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.

    Article  Google Scholar 

  8. Okuda K, Obata H, Nakajima Y, et al. Prognosis of primary hepatocellular carcinoma. Hepatology. 1984;4:3s–6s.

    Article  CAS  Google Scholar 

  9. 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.

    Article  CAS  Google Scholar 

  10. El-Serag HB. Hepatocellular carcinoma. N Engl J Med. 2011;365:1118–1127.

    Article  CAS  Google Scholar 

  11. 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.

    Article  Google Scholar 

  12. 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.

    Article  Google Scholar 

  13. 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.

    Article  CAS  Google Scholar 

  14. Liu PH, Hsu CY, Hsia CY, et al. Prognosis of hepatocellular carcinoma: assessment of eleven staging systems. J Hepatol. 2016;64:601–608.

    Article  CAS  Google Scholar 

  15. Chapiro J, Geschwind JF. Hepatocellular carcinoma: have we finally found the ultimate staging system for HCC? Nat Rev Gastroenterol Hepatol. 2014;11:334–336.

    Article  Google Scholar 

  16. Ronot M, Purcell Y, Vilgrain V. Hepatocellular carcinoma: current imaging modalities for diagnosis and prognosis. Dig Dis Sci. 2019;64:934–950.

    Article  CAS  Google Scholar 

  17. 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.

    Article  CAS  Google Scholar 

  18. 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.

    Article  CAS  Google Scholar 

  19. 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.

    Article  CAS  Google Scholar 

  20. 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.

    Article  Google Scholar 

  21. 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.

    Article  Google Scholar 

  22. 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.

    Article  Google Scholar 

  23. 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.

    Article  CAS  Google Scholar 

  24. 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.

    Article  CAS  Google Scholar 

  25. 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.

    Article  CAS  Google Scholar 

  26. 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.

    Article  CAS  Google Scholar 

  27. Feinstein AR. Clinical biostatistics. XVI. The process of prognostic stratification. 2. Clin Pharmacol Ther. 1972;13:609–624.

    Article  CAS  Google Scholar 

  28. Forster MR. Key concepts in model selection: performance and generalizability. J Math Psychol. 2000;44:205–231.

    Article  CAS  Google Scholar 

  29. 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.

    PubMed  Google Scholar 

  30. 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.

    Article  Google Scholar 

  31. 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.

    Article  CAS  Google Scholar 

  32. 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.

    Article  Google Scholar 

  33. Moore KP, Aithal GP. Guidelines on the management of ascites in cirrhosis. Gut. 2006;55:vi1–vi12.

    Article  Google Scholar 

  34. 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.

    Article  Google Scholar 

  35. 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.

    Article  Google Scholar 

  36. 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.

    Article  Google Scholar 

  37. 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.

    Article  CAS  Google Scholar 

  38. 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.

    Article  CAS  Google Scholar 

  39. 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.

    Google Scholar 

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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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Contributions

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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Correspondence to Teh-Ia Huo.

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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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