Skip to main content
Log in

Liver Collagen Contents Are Closely Associated with the Severity of Cirrhosis and Posthepatectomy Liver Failure in Patients with Hepatocellular Carcinoma and Child–Pugh Grade A Liver Function

  • Hepatobiliary Tumors
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

Abstract

Background

Hepatocellular carcinoma (HCC) is usually accompanied by different severities of cirrhosis, which is a risk factor for posthepatectomy liver failure (PHLF). Collagen proportional area (CPA) measurements can quantitatively determine the collagen contents of liver tissue. This study explored the impact of CPA on PHLF, and further investigated the correlation between CPA and a non-invasive method, namely cirrhotic severity scoring (CSS), previously proposed by our team.

Methods

A total of 224 HCC patients with Child–Pugh grade A liver function undergoing hepatectomy between 2017 and 2019 were retrospectively studied. Quantitative digital image analysis of resected liver tissues was used for the CPA measurement. Risk factors for PHLF were subjected to univariate and multivariate analyses, and the correlation between CPA and CSS was analyzed.

Results

Overall, 28 (12.5%) patients experienced PHLF. Patients with PHLF had higher CPA values than those without PHLF (p < 0.001). Multivariate analysis showed CPA and extent of hepatectomy to be independent risk factors for PHLF. CPA values were divided into four stages based on their quartiles (C1: < 6.6%; C2: 6.6–10.7%; C3: 10.7–18.0%; C4: ≥ 18.0%). The incidence of PHLF increased with increasing CPA stages (p < 0.001). Furthermore, CSS was significantly correlated with CPA (r = 0.720; p < 0.001). The incidence of PHLF also increased with increasing severity of cirrhosis evaluated by CSS (p < 0.001).

Conclusions

In HCC patients with Child–Pugh grade A liver function, cirrhosis could be staged by liver collagen contents, which significantly influenced PHLF. Furthermore, CSS was useful in the preoperative evaluation of cirrhotic severity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. El-Serag HB, Rudolph KL. Hepatocellular carcinoma: epidemiology and molecular carcinogenesis. Gastroenterology. 2007;132:2557–76.

    Article  CAS  Google Scholar 

  2. Akinyemiju T, Abera S, Ahmed M, et al. The burden of primary liver cancer and underlying etiologies from 1990 to 2015 at the global, regional, and national level: results from the global burden of disease study 2015. JAMA Oncol. 2017;3:1683–91.

    Article  Google Scholar 

  3. Chen XP, Wu ZD, Huang ZY, Qiu FZ. Use of hepatectomy and splenectomy to treat hepatocellular carcinoma with cirrhotic hypersplenism. Br J Surg. 2005;92:334–9.

    Article  Google Scholar 

  4. Dahiya D, Wu TJ, Lee CF, Chan KM, Lee WC, Chen MF. Minor versus major hepatic resection for small hepatocellular carcinoma (HCC) in cirrhotic patients: a 20-year experience. Surgery. 2010;147:676–85.

    Article  Google Scholar 

  5. Zhou SJ, Zhang EL, Liang BY, et al. Morphologic severity of cirrhosis determines the extent of liver resection in patients with hepatocellular carcinoma and Child-Pugh grade A cirrhosis. J Surg Res. 2016;200:444–51.

    Article  Google Scholar 

  6. Kim MY, Cho MY, Baik SK, et al. Histological subclassification of cirrhosis using the Laennec fibrosis scoring system correlates with clinical stage and grade of portal hypertension. J Hepatol. 2011;55:1004–9.

    Article  Google Scholar 

  7. Standish RA, Cholongitas E, Dhillon A, Burroughs AK, Dhillon AP. An appraisal of the histopathological assessment of liver fibrosis. Gut. 2006;55:569–78.

    Article  CAS  Google Scholar 

  8. Tsochatzis E, Bruno S, Isgro G, et al. Collagen proportionate area is superior to other histological methods for sub-classifying cirrhosis and determining prognosis. J Hepatol. 2014;60:948–54.

    Article  CAS  Google Scholar 

  9. van Mierlo KM, Schaap FG, Dejong CH, Olde DS. Liver resection for cancer: new developments in prediction, prevention and management of postresectional liver failure. J Hepatol. 2016;65:1217–31.

    Article  Google Scholar 

  10. Rahbari NN, Garden OJ, Padbury R, et al. Posthepatectomy liver failure: a definition and grading by the International Study Group of Liver Surgery (ISGLS). Surgery. 2011;149:713–24.

    Article  Google Scholar 

  11. Zhang EL, Zhang ZY, Wang SP, et al. Predicting the severity of liver cirrhosis through clinical parameters. J Surg Res. 2016;204:274–81.

    Article  Google Scholar 

  12. Jensen DM. Endoscopic screening for varices in cirrhosis: findings, implications, and outcomes. Gastroenterology. 2002;122:1620–30.

    Article  Google Scholar 

  13. Pol B, Campan P, Hardwigsen J, Botti G, Pons J, Le Treut YP. Morbidity of major hepatic resections: a 100-case prospective study. Eur J Surg. 1999;165:446–53.

    Article  CAS  Google Scholar 

  14. Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004;240:205–13.

    Article  Google Scholar 

  15. Dahab GM, Kheriza MM, El-Beltagi HM, Fouda AM, El-Din OA. Digital quantification of fibrosis in liver biopsy sections: description of a new method by Photoshop software. J Gastroenterol Hepatol. 2004;19:78–85.

    Article  Google Scholar 

  16. Campos CF, Paiva DD, Perazzo H, et al. An inexpensive and worldwide available digital image analysis technique for histological fibrosis quantification in chronic hepatitis C. J Viral Hepat. 2014;21:216–22.

    Article  CAS  Google Scholar 

  17. Zhang EL, Liang BY, Chen XP, Huang ZY. Severity of liver cirrhosis: a key role in the selection of surgical modality for Child–Pugh A hepatocellular carcinoma. World J Surg Oncol. 2015;13:148.

    Article  Google Scholar 

  18. Calvaruso V, Burroughs AK, Standish R, et al. Computer-assisted image analysis of liver collagen: relationship to Ishak scoring and hepatic venous pressure gradient. Hepatology. 2009;49:1236–44.

    Article  Google Scholar 

  19. Stasi C, Tsochatzis EA, Hall A, et al. Comparison and correlation of fibrosis stage assessment by collagen proportionate area (CPA) and the ELF panel in patients with chronic liver disease. Dig Liver Dis. 2019;51:1001–7.

    Article  CAS  Google Scholar 

  20. Isgro G, Calvaruso V, Andreana L, et al. The relationship between transient elastography and histological collagen proportionate area for assessing fibrosis in chronic viral hepatitis. J Gastroenterol. 2013;48:921–9.

    Article  Google Scholar 

  21. Fontana RJ, Goodman ZD, Dienstag JL, et al. Relationship of serum fibrosis markers with liver fibrosis stage and collagen content in patients with advanced chronic hepatitis C. Hepatology. 2008;47:789–98.

    Article  CAS  Google Scholar 

  22. O’Brien MJ, Keating NM, Elderiny S, et al. An assessment of digital image analysis to measure fibrosis in liver biopsy specimens of patients with chronic hepatitis C. Am J Clin Pathol. 2000;114:712–8.

    Article  Google Scholar 

  23. Manousou P, Dhillon AP, Isgro G, et al. Digital image analysis of liver collagen predicts clinical outcome of recurrent hepatitis C virus 1 year after liver transplantation. Liver Transpl. 2011;17:178–88.

    Article  Google Scholar 

  24. Manousou P, Burroughs AK, Tsochatzis E, et al. Digital image analysis of collagen assessment of progression of fibrosis in recurrent HCV after liver transplantation. J Hepatol. 2013;58:962–8.

    Article  CAS  Google Scholar 

  25. Huang Y, de Boer WB, Adams LA, MacQuillan G, Bulsara MK, Jeffrey GP. Image analysis of liver biopsy samples measures fibrosis and predicts clinical outcome. J Hepatol. 2014;61:22–7.

    Article  Google Scholar 

  26. Siddique I, El-Naga HA, Madda JP, Memon A, Hasan F. Sampling variability on percutaneous liver biopsy in patients with chronic hepatitis C virus infection. Scand J Gastroenterol. 2003;38:427–32.

    Article  CAS  Google Scholar 

  27. Regev A, Berho M, Jeffers LJ, et al. Sampling error and intraobserver variation in liver biopsy in patients with chronic HCV infection. Am J Gastroenterol. 2002;97:2614–8.

    Article  Google Scholar 

  28. Kawano Y, Sasaki A, Kai S, et al. Short- and long-term outcomes after hepatic resection for hepatocellular carcinoma with concomitant esophageal varices in patients with cirrhosis. Ann Surg Oncol. 2008;15:1670–6.

    Article  Google Scholar 

  29. Mullen JT, Ribero D, Reddy SK, et al. Hepatic insufficiency and mortality in 1059 noncirrhotic patients undergoing major hepatectomy. J Am Coll Surg. 2007;204:854–62; discussion 862-4.

  30. McCormack L, Petrowsky H, Jochum W, Furrer K, Clavien PA. Hepatic steatosis is a risk factor for postoperative complications after major hepatectomy: a matched case-control study. Ann Surg. 2007;245:923–30.

    Article  Google Scholar 

  31. Farges O, Malassagne B, Flejou JF, Balzan S, Sauvanet A, Belghiti J. Risk of major liver resection in patients with underlying chronic liver disease: a reappraisal. Ann Surg. 1999;229:210–5.

    Article  CAS  Google Scholar 

  32. Wang YY, Xiang BD, Ma L, et al. Development and validation of a nomogram to preoperatively estimate post-hepatectomy liver dysfunction risk and long-term survival in patients with hepatocellular carcinoma. Ann Surg. Epub 24 Feb 2020. https://doi.org/10.1097/sla.0000000000003803.

  33. Wang YY, Zhong JH, Su ZY, et al. Albumin-bilirubin versus Child-Pugh score as a predictor of outcome after liver resection for hepatocellular carcinoma. Br J Surg. 2016;103:725–34.

    Article  CAS  Google Scholar 

  34. Gu J, Zhang E, Liang B, Zhang Z, Chen X, Huang Z. Effectiveness comparison of indocyanine green retention test with the cirrhotic severity scoring in evaluating the pathological severity of liver cirrhosis in patients with hepatocellular carcinoma and Child-Pugh grade A liver function. World J Surg Oncol. 2020;18:79.

    Article  Google Scholar 

Download references

Acknowledgment

The authors thank Dr. Yaobing Chen and Dr. Cong Liu, Department of Pathology, Tongji Hospital, Huazhong University of Science and Technology, China, for their assistance in the pathological study.

Funding

This work was supported by funding from the National Science and Technology Major Project of China (No. 2017ZX10203207-002) to Prof. Zhiyong Huang, and funding from the National Natural Science Foundation of China (No. 81902839) to Dr. Erlei Zhang.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Min Xiong MD.

Ethics declarations

Disclosure

Jin Gu, Erlei Zhang, Binyong Liang, Zunyi Zhang, Xiaoping Chen, Min Xiong, and Zhiyong Huang declare they have no conflicts of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 21 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gu, J., Zhang, E., Liang, B. et al. Liver Collagen Contents Are Closely Associated with the Severity of Cirrhosis and Posthepatectomy Liver Failure in Patients with Hepatocellular Carcinoma and Child–Pugh Grade A Liver Function. Ann Surg Oncol 28, 4227–4235 (2021). https://doi.org/10.1245/s10434-020-09557-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1245/s10434-020-09557-5

Navigation