Skip to main content
Log in

Preoperative controlling nutritional status (CONUT) score predicts long-term outcomes in patients with non-B non-C hepatocellular carcinoma after curative hepatic resection

  • Original Article
  • Published:
Langenbeck's Archives of Surgery Aims and scope Submit manuscript

Abstract

Purpose

The controlling nutritional status (CONUT) score has been reported to predict outcomes in patients with hepatocellular carcinoma (HCC). However, the prognostic significance of the CONUT score in patients with non-B non-C (NBNC) HCC remains to be established.

Methods

The study comprised 246 patients who had undergone elective hepatic resection for HCC between April 2003 and October 2017. We retrospectively investigated the relation between preoperative CONUT score as well as clinicopathological characteristics and disease-free survival (DFS) as well as overall survival (OS).

Results

In univariate analyses, CONUT score was associated with DFS and OS in patients with NBNC-HCC (p ≤ 0.01), while there was no significant association of CONUT score with DFS and OS in patients with HBV- and HCV-related HCC (p ≥ 0.1). Of the 111 patients with NBNC-HCC, 97 (87.4%) had CONUT score ≤ 3 (low CONUT score) and the other 14 (12.6%) had CONUT score ≥ 4 (high CONUT score). In the patients with NBNC-HCC, multivariate analysis identified age ≥ 65 years (p = 0.03), multiple tumors (p < 0.01), and high CONUT score (p = 0.03) as the independent and significant predictors of DFS, while multiple tumors (p = 0.01), microvascular invasion (p < 0.01), and high CONUT score (p = 0.01) were the independent and significant predictors of OS.

Conclusions

The CONUT score seems to be a reliable and independent predictor of both DFS and OS after hepatic resection for NBNC-HCC.

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

Similar content being viewed by others

Data availability

The dataset analyzed for the current study are available from the corresponding author on reasonable request.

References

  1. Siegel RL, Miller KD, Jemal A (2019) Cancer statistics, 2019. CA Cancer J Clin 69:7–34

    Article  PubMed  Google Scholar 

  2. Forner A, Reig M, Bruix J (2018) Hepatocellular carcinoma. Lancet. 391:1301–1314

    Article  PubMed  Google Scholar 

  3. Poon RT, Fan ST, Lo CM et al (2001) Improving survival results after resection of hepatocellular carcinoma: a prospective study of 377 patients over 10 years. Ann Surg 234:63–70

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. (1998) A new prognostic system for hepatocellular carcinoma: a retrospective study of 435 patients: the Cancer of the Liver Italian Program (CLIP) investigators. Hepatology 28:751–755

  5. Llovet JM, Brú C, Bruix J (1999) Prognosis of hepatocellular carcinoma: the BCLC staging classification. Semin Liver Dis 19:329–338

    Article  CAS  PubMed  Google Scholar 

  6. Haruki K, Shiba H, Saito N, Horiuchi T, Shirai Y, Fujiwara Y, Furukawa K, Sakamoto T, Yanaga K (2018) Risk stratification using a novel liver functional reserve score of combination prothrombin time-international normalized ratio to albumin ratio and albumin in patients with hepatocellular carcinoma. Surgery. 164:404–410

    Article  PubMed  Google Scholar 

  7. Tannus RK, Almeida-Carvalho SR, Loureiro-Matos CA, Miziara-Gonzalez A, Salzedas-Netto AA, Szejnfeld D, D'Ippolito G, Pereira-Lanzoni V, Souza-Silva I (2018) Evaluation of survival of patients with hepatocellular carcinoma: a comparative analysis of prognostic systems. PLoS One 13:e0194922

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Wu SJ, Lin YX, Ye H, Li FY, Xiong XZ, Cheng NS (2016) Lymphocyte to monocyte ratio and prognostic nutritional index predict survival outcomes of hepatitis B virus-associated hepatocellular carcinoma patients after curative hepatectomy. J Surg Oncol 114:202–210

    Article  PubMed  Google Scholar 

  9. Kaida T, Nitta H, Kitano Y, Yamamura K, Arima K, Higashi T, Taki K, Nakagawa S, Okabe H, Hayashi H, Imai K, Hashimoto D, Yamashita YI, Chikamoto A, Ishiko T, Beppu T, Baba H (2017) Preoperative platelet-to-lymphocyte ratio can predict recurrence beyond the Milan criteria after hepatectomy for patients with hepatocellular carcinoma. Hepatol Res 47:991–999

    Article  CAS  PubMed  Google Scholar 

  10. Shiba H, Horiuchi T, Sakamoto T, Furukawa K, Shirai Y, Iida T, Fujiwara Y, Haruki K, Yanaga K (2017) Glasgow prognostic score predicts therapeutic outcome after hepatic resection for hepatocellular carcinoma. Oncol Lett 14:293–298

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Harimoto N, Yoshizumi T, Sakata K, Nagatsu A, Motomura T, Itoh S, Harada N, Ikegami T, Uchiyama H, Soejima Y, Maehara Y (2017) Prognostic significance of preoperative controlling nutritional status (CONUT) score in patients undergoing hepatic resection for hepatocellular carcinoma. World J Surg 41:2805–2812

    Article  PubMed  Google Scholar 

  12. Lin ZX, Ruan DY, Jia CC, Wang TT, Cheng JT, Huang HQ, Wu XY (2019) Controlling nutritional status (CONUT) score-based nomogram to predict overall survival of patients with HBV-associated hepatocellular carcinoma after curative hepatectomy. Clin Transl Oncol 22:370–380. https://doi.org/10.1007/s12094-019-02137-4

    Article  CAS  PubMed  Google Scholar 

  13. Harimoto N, Yoshizumi T, Inokuchi S, Itoh S, Adachi E, Ikeda Y, Uchiyama H, Utsunomiya T, Kajiyama K, Kimura K, Kishihara F, Sugimachi K, Tsujita E, Ninomiya M, Fukuzawa K, Maeda T, Shirabe K, Maehara Y (2018) Prognostic significance of preoperative controlling nutritional status (CONUT) score in patients undergoing hepatic resection for hepatocellular carcinoma: a multi-institutional study. Ann Surg Oncol 25:3316–3323

    Article  PubMed  Google Scholar 

  14. Miyagawa S, Makuuchi M, Kawasaki S, Kakazu T (1995) Criteria for safe hepatic resection. Am J Surg 169:589–594

    Article  CAS  PubMed  Google Scholar 

  15. Ignacio de Ulíbarri J, González-Madroño A, de Villar NG et al (2005) CONUT: a tool for controlling nutritional status: first validation in a hospital population. Nutr Hosp 20:38–45

    PubMed  Google Scholar 

  16. de Ulíbarri Pérez JI, Fernández G, Rodríguez Salvanés F, Díaz López AM (2014) Nutritional screening; control of clinical undernutrition with analytical parameters. Nutr Hosp 29:797–811

    PubMed  Google Scholar 

  17. Forner A, Reig ME, de Lope CR et al (2010) Current strategy for staging and treatment: the BCLC update and future prospects. Semin Liver Dis 30:61–74

    Article  CAS  PubMed  Google Scholar 

  18. Takanishi DM Jr, Severino R, Wong LL (2007) The cancer of the liver Italian program (CLIP) score: validation of a new prognostic system for hepatocellular carcinoma. Hawaii Med J 66:209–212

    PubMed  Google Scholar 

  19. Pinato DJ, North BV, Sharma R (2012) A novel, externally validated inflammation-based prognostic algorithm in hepatocellular carcinoma: the prognostic nutritional index (PNI). Br J Cancer 106:1439–1445

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Chan AW, Chan SL, Mo FK et al (2015) Albumin-to-alkaline phosphatase ratio: a novel prognostic index for hepatocellular carcinoma. Dis Markers 2015:564057

    Article  PubMed  PubMed Central  Google Scholar 

  21. Mano Y, Shirabe K, Yamashita Y, Harimoto N, Tsujita E, Takeishi K, Aishima S, Ikegami T, Yoshizumi T, Yamanaka T, Maehara Y (2013) Preoperative neutrophil-to-lymphocyte ratio is a predictor of survival after hepatectomy for hepatocellular carcinoma: a retrospective analysis. Ann Surg 258:301–305

    Article  PubMed  Google Scholar 

  22. Lee YL, Li WC, Tsai TH, Chiang HY, Ting CT (2016) Body mass index and cholesterol level predict surgical outcome in patients with hepatocellular carcinoma in Taiwan: a cohort study. Oncotarget. 7:22948–22959

    Article  PubMed  PubMed Central  Google Scholar 

  23. Jiang SS, Weng DS, Jiang L, Zhang YJ, Pan K, Pan QZ, Chen CL, Zhao JJ, Zhang XF, Zhang HX, Tang Y, Zhou ZQ, Chen MS, Xia JC (2016) The clinical significance of preoperative serum cholesterol and high-density lipoprotein-cholesterol levels in hepatocellular carcinoma. J Cancer 7:626–632

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Dessì S, Batetta B, Pulisci D, Spano O, Anchisi C, Tessitore L, Costelli P, Baccino FM, Aroasio E, Pani P (1994) Cholesterol content in tumor tissues is inversely associated with high-density lipoprotein cholesterol in serum in patients with gastrointestinal cancer. Cancer. 73:253–258

    Article  PubMed  Google Scholar 

  25. Esteve E, Ricart W, Fernández-Real JM (2005) Dyslipidemia and inflammation: an evolutionary conserved mechanism. Clin Nutr 24:16–31

    Article  CAS  PubMed  Google Scholar 

  26. Yvan-Charvet L, Wang N, Tall AR (2010) Role of HDL, ABCA1, and ABCG1 transporters in cholesterol efflux and immune responses. Arterioscler Thromb Vasc Biol 30:139–143

    Article  CAS  PubMed  Google Scholar 

  27. Takagi K, Yagi T, Umeda Y et al (2017) Preoperative controlling nutritional status (CONUT) score for assessment of prognosis following hepatectomy for hepatocellular carcinoma. World J Surg 41:53–2360

    Google Scholar 

  28. Miyata T, Yamashita Y, Higashi T, Taki K, Izumi D, Kosumi K, Tokunaga R, Nakagawa S, Okabe H, Imai K, Hashimoto D, Chikamoto A, Baba H (2018) The prognostic impact of controlling nutritional status (CONUT) in intrahepatic cholangiocarcinoma following curative hepatectomy: a retrospective single institution study. World J Surg 42:1085–1091

    Article  PubMed  Google Scholar 

  29. Fung J, Lai CL, Yuen MF (2009) Hepatitis B and C virus-related carcinogenesis. Clin Microbiol Infect 15:964–970

    Article  CAS  PubMed  Google Scholar 

  30. Wree A, Broderick L, Canbay A, Hoffman HM, Feldstein AE (2013) From NAFLD to NASH to cirrhosis: new insights into disease mechanisms. Nat Rev Gastroenterol Hepatol 10:627–636

    Article  CAS  PubMed  Google Scholar 

  31. Yoshida N, Baba Y, Shigaki H, Harada K, Iwatsuki M, Kurashige J, Sakamoto Y, Miyamoto Y, Ishimoto T, Kosumi K, Tokunaga R, Imamura Y, Ida S, Hiyoshi Y, Watanabe M, Baba H (2016) Preoperative nutritional assessment by controlling nutritional status (CONUT) is useful to estimate postoperative morbidity after esophagectomy for esophageal cancer. World J Surg 40:1910–1917

    Article  PubMed  Google Scholar 

  32. Takagi K, Domagala P, Polak WG, Buettner S, Ijzermans JNM (2019) The controlling nutritional status score and postoperative complication risk in gastrointestinal and hepatopancreatobiliary surgical oncology: a systematic review and meta-analysis. Ann Nutr Metab 74:303–312

    Article  CAS  PubMed  Google Scholar 

  33. Harimoto N, Shirabe K, Ikegami T, Yoshizumi T, Maeda T, Kajiyama K, Yamanaka T, Maehara Y (2015) Postoperative complications are predictive of poor prognosis in hepatocellular carcinoma. J Surg Res 199:470–477

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

MT, KH, SO, TG, HS, and KY contributed in the study conception and design; MT, KH, YF, KF, and MM provided data acquisition and statistical analysis; MT and KH participated in manuscript preparation; TG, HS, and KY contributed in manuscript revision. All authors have read and approved the manuscript for publication.

Corresponding author

Correspondence to Koichiro Haruki.

Ethics declarations

This retrospective cohort study was approved by the institutional review board at the Jikei University School of Medicine (#27-177).

Conflict of interest

The authors declare that they have no conflict of interest.

Ethics approval

This retrospective study meeting the ethical standards of the World Medical Association Declaration of Helsinki was approved by The Jikei University School of Medicine (#27-177).

Consent to participate

Written informed consent was obtained from the parents.

Consent to publish

The participant has consented to the submission of the case report to the journal.

Additional information

Publisher’s note

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

Electronic supplementary material

ESM 1

(DOCX 53 kb).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tsunematsu, M., Haruki, K., Fujiwara, Y. et al. Preoperative controlling nutritional status (CONUT) score predicts long-term outcomes in patients with non-B non-C hepatocellular carcinoma after curative hepatic resection. Langenbecks Arch Surg 406, 99–107 (2021). https://doi.org/10.1007/s00423-020-01987-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00423-020-01987-9

Keywords

Navigation