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  9. Predictive And Prognostic Markers
  11. Construction And Validation Of A Novel Nomogram Predicting Recurrence In Alpha-fetoprotein-negative Hepatocellular Carcinoma Post-surgery Using An Innovative Liver Function-nutrition-inflammation-immune (lfnii) Score: A Bicentric Investigation.
  1. Home
  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. Construction And Validation Of A Novel Nomogram Predicting Recurrence In Alpha-fetoprotein-negative Hepatocellular Carcinoma Post-surgery Using An Innovative Liver Function-nutrition-inflammation-immune (lfnii) Score: A Bicentric Investigation.

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Construction and Validation of a Novel Nomogram Predicting Recurrence in Alpha-Fetoprotein-Negative Hepatocellular Carcinoma Post-Surgery Using an Innovative Liver Function-Nutrition-Inflammation-Immune (LFNII) Score: A Bicentric Investigation.

Bo-Lun Zhang1, Jia Liu2, Guanghao Diao2

  • 1Department of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.

Journal of Hepatocellular Carcinoma
|March 11, 2024

View abstract on PubMed

Summary
This summary is machine-generated.
Keywords:
alpha-fetoprotein-negativehepatocellular carcinomaimmunityinflammation

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A new nomogram using the liver function, nutrition, inflammation, and immunity (LFNII) score accurately predicts recurrence-free survival (RFS) in alpha-fetoprotein-negative hepatocellular carcinoma (HCC) patients after surgery.

Area of Science:

  • Hepatocellular Carcinoma Research
  • Oncology Biomarkers
  • Surgical Oncology Outcomes

Background:

  • Hepatocellular carcinoma (HCC) recurrence after resection remains a challenge, particularly in patients with negative alpha-fetoprotein (AFP).
  • Predictive models are needed to identify patients at high risk of recurrence for personalized treatment strategies.
  • The liver function, nutrition, inflammation, and immunity (LFNII) score is a composite marker reflecting systemic patient health.

Purpose of the Study:

  • To develop and validate a nomogram model for predicting recurrence-free survival (RFS) in AFP-negative HCC (AFP-NHCC) patients post-resection.
  • To assess the predictive performance of the LFNII score and integrate it into a clinical prediction tool.
  • To compare the nomogram's efficacy against existing HCC staging systems.
nutrition
recurrence-free survival

Main Methods:

  • Retrospective analysis of 661 AFP-NHCC patients undergoing resection (2012-2021) from two centers.
  • Formulation of the LFNII score using pre-operative blood markers and least absolute shrinkage and selection operator Cox regression.
  • Development and validation of a nomogram incorporating LFNII score and clinicopathological factors, assessed by ROC, calibration curves, and decision curve analysis.

Main Results:

  • The LFNII score, derived from nine indicators, correlated with unfavorable clinicopathological features.
  • The LFNII score demonstrated good predictive efficacy for 1-, 2-, and 5-year RFS (AUCs: 0.675, 0.658, 0.633).
  • The LFNII-nomogram model showed a C-index of 0.686 and outperformed standard HCC staging systems in predicting RFS.

Conclusions:

  • The LFNII score-based nomogram is an effective tool for predicting RFS in AFP-NHCC patients after curative resection.
  • This nomogram can aid in risk stratification and clinical decision-making for AFP-NHCC management.
  • The LFNII score offers valuable prognostic information for HCC patients with low AFP levels.