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Radiographic tumor burden score is useful for stratifying the overall survival of hepatocellular carcinoma patients undergoing resection at different Barcelona Clinic Liver Cancer stages

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Abstract

Purpose

The Barcelona Clinic Liver Cancer (BCLC) staging system has been recommended for prognostic prediction. However, prognosis is variable at different BCLC stages. We aimed to evaluate whether the radiographic tumor burden score (TBS) could be used to stratify prognosis in different BCLC stages.

Methods

Hepatocellular carcinoma (HCC) patients undergoing liver resection (LR) at BCLC-0, -A, or -B stage in our institution in 2007–2018 were divided into derivation and validation cohorts. Overall survival (OS) was analyzed according to the TBS and BCLC stage. TBS cutoff values for OS were determined with X-tile.

Results

Of the 749 patients in the derivation cohort, 138 (18.4%) had BCLC-0, 542 (72.3%) BCLC-A, and 69 (9.2%) BCLC-B HCC; 76 (10.1%) had a high TBS (> 7.9), 477 (63.7%) a medium TBS (2.6–7.9), and 196 (26.2%) a low TBS (< 2.6). OS worsened progressively with increasing TBS in the cohort (p < 0.001) and in BCLC-A (p = 0.04) and BCLC-B (p = 0.002) stages. Multivariate analysis showed that the TBS was associated with OS of patients with BCLC-A (medium vs. low TBS: hazard ratio [HR] = 2.390, 95% CI = 1.024–5.581, p = 0.04; high vs. low TBS: HR = 3.885, 95% CI = 1.443–10.456, p = 0.007) and BCLC-B (high vs. medium TBS: HR = 2.542, 95% CI = 1.077–6.002, p = 0.033) HCC. The TBS could also be used to stratify the OS of patients in the validation cohort (p < 0.001).

Conclusion

The TBS could be used to stratify the OS of the entire cohort and BCLC stages A and B of HCC patients undergoing LR.

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References

  1. Global Burden of Disease Cancer Collaboration (2019) 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 2017: a systematic analysis for the global burden of disease study. JAMA Oncol 5:1749–1768. https://doi.org/10.1001/jamaoncol.2019.2996

    Article  PubMed Central  Google Scholar 

  2. Marrero JA, Kulik LM, Sirlin CB et al (2018) Diagnosis, staging, and management of hepatocellular carcinoma: 2018 practice guidance by the American association for the study of liver diseases. Hepatology 68:723–750. https://doi.org/10.1002/hep.29913

    Article  PubMed  Google Scholar 

  3. EASL Clinical Practice Guidelines (2018) Management of hepatocellular carcinoma. J Hepatol 69:182–236. https://doi.org/10.1016/j.jhep.2018.03.019

    Article  Google Scholar 

  4. Vitale A, Burra P, Frigo AC et al (2015) Survival benefit of liver resection for patients with hepatocellular carcinoma across different Barcelona Clinic Liver Cancer stages: a multicentre study. J Hepatol 62:617–624. https://doi.org/10.1016/j.jhep.2014.10.037

    Article  PubMed  Google Scholar 

  5. Pawlik TM, Delman KA, Vauthey J-N et al (2005) Tumor size predicts vascular invasion and histologic grade: implications for selection of surgical treatment for hepatocellular carcinoma. Liver Transpl 11:1086–1092. https://doi.org/10.1002/lt.20472

    Article  PubMed  Google Scholar 

  6. Tsilimigras DI, Bagante F, Sahara K et al (2019) Prognosis after resection of Barcelona Clinic Liver Cancer (BCLC) stage 0, A, and B hepatocellular carcinoma: a comprehensive assessment of the current BCLC classification. Ann Surg Oncol 26:3693–3700. https://doi.org/10.1245/s10434-019-07580-9

    Article  PubMed  Google Scholar 

  7. Kudo M (2016) Heterogeneity and subclassification of Barcelona Clinic Liver Cancer stage B. Liver Cancer 5:91–96. https://doi.org/10.1159/000367768

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Sasaki K, Morioka D, Conci S et al (2018) The tumor burden score: a new‘metro-ticket’ prognostic tool for colorectal liver metastases based on tumor size and number of tumors. Ann Surg 267:132–141. https://doi.org/10.1097/SLA.0000000000002064

    Article  PubMed  Google Scholar 

  9. Tsilimigras DI, Moris D, Hyer JM et al (2020) Hepatocellular carcinoma tumour burden score to stratify prognosis after resection. Br J Surg 107:854–864. https://doi.org/10.1002/bjs.11464

    Article  CAS  PubMed  Google Scholar 

  10. Tsilimigras DI, Mehta R, Paredes AZ et al (2020) Overall tumor burden dictates outcomes for patients undergoing resection of multinodular hepatocellular carcinoma beyond the Milan criteria. Ann Surg 272:574–581. https://doi.org/10.1097/SLA.0000000000004346

    Article  PubMed  Google Scholar 

  11. Moris D, Shaw BI, McElroy L et al (2020) Using hepatocellular carcinoma tumor burden score to stratify prognosis after liver transplantation. Cancers (Basel) 12:3372. https://doi.org/10.3390/cancers12113372

    Article  CAS  PubMed  Google Scholar 

  12. Elfadaly AN, Tsilimigras DI, Hyer JM et al (2021) Impact of tumor burden score on conditional survival after curative-intent resection for hepatocellular carcinoma: a multi-institutional analysis. World J Surg 45:3438–3448. https://doi.org/10.1007/s00268-021-06265-3

    Article  PubMed  Google Scholar 

  13. Tsilimigras DI, Hyer JM, Diaz A et al (2021) Synergistic impact of alpha-fetoprotein and tumor burden on long-term outcomes following curative-intent resection of hepatocellular carcinoma. Cancers (Basel) 13:747

  14. Vitale A, Lai Q, Farinati F et al Italian Liver Cancer (ITA.LI.CA) group (2018). Utility of tumor burden score to stratify prognosis of patients with hepatocellular cancer: results of 4759 cases from ITA.LI.CA study group. J Gastrointest Surg 22:859–871. https://doi.org/10.1007/s11605-018-3688-y

  15. Firl DJ, Sasaki K, Agopian VG et al (2020) Charting the path forward for risk prediction in liver transplant for hepatocellular carcinoma: international validation of HALTHCC among 4,089 patients. Hepatology 71:569–582. https://doi.org/10.1002/hep.30838

    Article  CAS  PubMed  Google Scholar 

  16. Sasaki K, Firl DJ, Hashimoto K et al (2017) Development and validation of the HALT-HCC score to predict mortality in liver transplant recipients with hepatocellular carcinoma: a retrospective cohort analysis. Lancet Gastroenterol Hepatol 2:595–603. https://doi.org/10.1016/S2468-1253(17)30106-1

    Article  PubMed  Google Scholar 

  17. Ho SY, Liu PH, Hsu CY et al (2021) Tumor burden score as a new prognostic marker for patients with hepatocellular carcinoma undergoing transarterial chemoembolization. J Gastroenterol Hepatol 36:3196–3203. https://doi.org/10.1111/jgh.15593

    Article  CAS  PubMed  Google Scholar 

  18. Tsilimigras DI, Mehta R, Guglielmi A et al (2020) Recurrence beyond the Milan criteria after curative-intent resection of hepatocellular carcinoma: A novel tumor-burden based prediction model. J Surg Oncol 122:955–963. https://doi.org/10.1002/jso.26091

    Article  PubMed  Google Scholar 

  19. Fukami Y, Saito T, Osawa T et al (2021) Preoperative controlling nutritional status plus tumor burden score for the assessment of prognosis after curative liver resection for hepatocellular carcinoma. Med Princ Pract 30:131–137. https://doi.org/10.1159/000514031

    Article  PubMed  Google Scholar 

  20. Mazzaferro V, Regalia E, Doci R et al (1996) Liver transplantation for the treatment of small hepatocellular carcinomas in patients with cirrhosis. N Engl J Med 334:693–699. https://doi.org/10.1056/NEJM199603143341104

    Article  CAS  PubMed  Google Scholar 

  21. Benson AB, Abrams TA, Ben-Josef E et al (2009) NCCN clinical practice guidelines in oncology: hepatobiliary cancers. J Natl Compr Canc Netw 7:350–391. https://doi.org/10.6004/jnccn.2009.0027

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Edmonson H, Steiner P (1954) Primary carcinoma of the liver: a study of 100 cases among 48,900 necropsies. Cancer 7:462–503. https://doi.org/10.1002/1097-0142(195405)7:3<462::aid-cncr2820070308>3.0.co;2-e

  23. Everhart JE, Wright EC, Goodman ZD et al (2010) Prognostic value of Ishak fibrosis stage: findings from the hepatitis C antiviral long-term treatment against cirrhosis trial. Hepatology 2010(51):585–594. https://doi.org/10.1002/hep.23315

    Article  Google Scholar 

  24. Greene FL, Page DL, Fleming ID, Fritz A, Balch CM, Haller DG, Morrow M, editors (2022) AJCC cancer staging manual, 6th edn. Chicago: Springer, p 435.

  25. American Joint Committee on Cancer (2010) American Joint Committee on Cancer Staging Manual, 7th ed. In: Edge SB, Byrd DR, Compton CC, et al. editors. Springer, New York,  p. 175

  26. Abou-Alfa GK, Pawlik TM, Shindoh J et al (2017) Liver. In: AJCC Cancer Staging Manual, 8th ed, Amin MB (Ed), AJCC, Chicago,  p 287

  27. Camp RL, Dolled-Filhart M, Rimm DL (2004) X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res 10:7252–7259. https://doi.org/10.1158/1078-0432.CCR-04-0713

    Article  CAS  PubMed  Google Scholar 

  28. (1998) A new prognostic system for hepatocellular carcinoma: a retrospective study of 435 patients: the Cancer of the Liver Italian Program (CLIP) investigators. Hepatology 28:751–5. https://doi.org/10.1002/hep.510280322

  29. Wada H, Eguchi H, Noda T et al (2016) Selection criteria for hepatic resection in intermediate-stage (BCLC stage B) multiple hepatocellular carcinoma. Surgery 160:1227–1235. https://doi.org/10.1016/j.surg.2016.05.023

    Article  PubMed  Google Scholar 

  30. Famularo S, Donadon M, Cipriani F et al (2022) Hepatectomy versus sorafenib in advanced nonmetastatic hepatocellular carcinoma: a real-life multicentric weighted comparison. Ann Surg 275:743–752. https://doi.org/10.1097/SLA.0000000000005373

    Article  PubMed  Google Scholar 

  31. Govalan R, Lauzon M, Luu M et al (2021) Comparison of surgical resection and systemic treatment for hepatocellular carcinoma with vascular invasion: national cancer database analysis. Liver Cancer 10:407–418. https://doi.org/10.1159/000515554

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Finn RS, Qin S, Ikeda M et al (2020) Atezolizumab plus Bevacizumab in Unresectable Hepatocellular Carcinoma. N Engl J Med 382:1894–1905. https://doi.org/10.1056/NEJMoa1915745

    Article  CAS  PubMed  Google Scholar 

  33. Su GL, Altayar O, O’Shea R et al (2022) AGA clinical practice guideline on systemic therapy for hepatocellular carcinoma. Gastroenterology 162:920–934. https://doi.org/10.1053/j.gastro.2021.12.276

    Article  PubMed  Google Scholar 

  34. Cheng AL, Qin S, Ikeda M et al (2022) Updated efficacy and safety data from IMbrave150: Atezolizumab plus bevacizumab vs. sorafenib for unresectable hepatocellular carcinoma. J Hepatol 76:862–873. https://doi.org/10.1016/j.jhep.2021.11.030

  35. Lee YJ, Lee JM, Lee JS et al (2015) Hepatocellular carcinoma: diagnostic performance of multidetector CT and MR imaging-a systematic review and meta-analysis. Radiology 275:97–109. https://doi.org/10.1148/radiol.14140690

    Article  PubMed  Google Scholar 

  36. Yu MH, Kim JH, Yoon JH et al (2014) Small (≤ 1-cm) hepatocellular carcinoma: diagnostic performance and imaging features at gadoxetic acid-enhanced MR imaging. Radiology 271:748–760. https://doi.org/10.1148/radiol.14131996

    Article  PubMed  Google Scholar 

  37. Kuo FY, Liu YW, Lin CC et al (2021) Microscopic portal vein invasion is a powerful predictor of prognosis in patients with hepatocellular carcinoma who have undergone liver resection. J Surg Oncol 123:222–235. https://doi.org/10.1002/jso.26260

    Article  CAS  PubMed  Google Scholar 

  38. Chan AWH, Zhong J, Berhane S et al (2018) Development of pre and post-operative models to predict early recurrence of hepatocellular carcinoma after surgical resection. J Hepatol 69:1284–1293. https://doi.org/10.1016/j.jhep.2018.08.027

    Article  PubMed  Google Scholar 

  39. Kabir T, Syn NL, Tan ZZX et al (2020) Predictors of post-operative complications after surgical resection of hepatocellular carcinoma and their prognostic effects on outcome and survival: A propensity-score matched and structural equation modelling study. Eur J Surg Oncol 46:1756–1765. https://doi.org/10.1016/j.ejso.2020.03.219

    Article  PubMed  Google Scholar 

  40. Roberts LR, Sirlin CB, Zaiem F et al (2018) Imaging for the diagnosis of hepatocellular carcinoma: A systematic review and meta-analysis. Hepatology 67:401–421. https://doi.org/10.1002/hep.29487

    Article  PubMed  Google Scholar 

  41. Wang JH, Wang CC, Hung CH et al (2012) Survival comparison between surgical resection and radiofrequency ablation for patients in BCLC very early/early stage hepatocellular carcinoma. J Hepatol 56:412–418. https://doi.org/10.1016/j.jhep.2011.05.020

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors thank Cancer Center, Kaohsiung Chang Gung Memorial Hospital for the provision of HCC registry data. The authors thank Chih-Yun Lin and Nien-Tzu Hsu and the Biostatistics Center, Kaohsiung Chang Gung Memorial Hospital for statistics work.

Funding

This study was supported by Grant CMRPG8L0181 from the Chang Gung Memorial Hospital-Kaohsiung Medical Center, Taiwan.

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Authors and Affiliations

Authors

Contributions

Conception or design of the work: YHY, CCW. The acquisition, analysis, or interpretation of data: WFL, YWL, CCW, CCY, CCL. Drafted the work: YHY, WFL. Revised it critically for important intellectual content: CCW. Approved the version to be published: all authors. Agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved: all authors.

Corresponding authors

Correspondence to Chih-Chi Wang or Yi-Hao Yen.

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The authors have no conflicts of interest to disclose for all authors.

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Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary Fig. 1

Flow chart of enrollment of the derivation cohort (PDF 77 kb)

Supplementary Fig. 2

Flow chart of enrollment of the validation cohort (PDF 75 kb)

Supplementary Fig. 3

Overall survival rate in the derivation cohort (PNG 45 kb)

High resolution image (TIF 100 kb)

Supplementary Fig. 4

Overall survival rate in the validation cohort (PNG 42 kb)

High resolution image (TIF 102 kb)

Supplementary Fig. 5

Distribution of the tumor burden score among the patients with and without recurrence in the derivation cohort (PNG 92 kb)

High resolution image (TIF 313 kb)

Supplementary Fig. 6

Distribution of the tumor burden score among the patients with and without recurrence in the validation cohort (PNG 62 kb)

High resolution image (TIF 201 kb)

Supplementary Fig. 7

Correlation between the tumor burden score and maximal tumor size in the derivation cohort (PNG 64 kb)

High resolution image (TIF 180 kb)

Supplementary Fig. 8

Correlation between the tumor burden score and maximal tumor size in the validation cohort (PNG 58 kb)

High resolution image (TIF 155 kb)

Supplementary Fig. 9

Distribution of the tumor burden score among the patients with different tumor numbers in the derivation cohort (PNG 81 kb)

High resolution image (TIF 268 kb)

Supplementary Fig. 10

Distribution of the tumor burden score among the patients with different tumor numbers in the validation cohort (PNG 59 kb)

High resolution image (TIF 184 kb)

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Li, WF., Liu, YW., Wang, CC. et al. Radiographic tumor burden score is useful for stratifying the overall survival of hepatocellular carcinoma patients undergoing resection at different Barcelona Clinic Liver Cancer stages. Langenbecks Arch Surg 408, 169 (2023). https://doi.org/10.1007/s00423-023-02869-6

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