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Perioperative dynamic changes of systemic inflammatory biomarkers predict tumor recurrence following curative-intent resection of hepatocellular carcinoma

  • Jingming Lu
  • , Fumin Wang
  • , Yaoxing Ren
  • , Yu An
  • , Francesca Ratti
  • , Hugo P. Marques
  • , Silvia Silva
  • , Olivier Soubrane
  • , Vincent Lam
  • , George A. Poultsides
  • , Irinel Popescu
  • , Razvan Grigorie
  • , Sorin Alexandrescu
  • , Guillaume Martel
  • , Aklile Workneh
  • , Andrea Ruzzenente
  • , Tom Hugh
  • , Luca Aldrighetti
  • , Itaru Endo
  • , Yi Lyu
  • Xu Feng Zhang, Timothy M. Pawlik
  • The First Affiliated Hospital of Xi’an Jiaotong University
  • Xi'an Jiaotong University
  • Yan'an University
  • Ospedale San Raffaele
  • Hospital Curry Cabral
  • Department of Hepatobiliopancreatic Surgery
  • Westmead Hospital
  • Stanford University
  • Fundeni Clinical Institute
  • University of Ottawa
  • University of Verona
  • The University of Sydney
  • Yokohama City University
  • Ohio State University

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

Background: Hepatic inflammation during liver resection induces immune dysregulation. We sought to investigate how surgical stress reshapes systemic inflammation and affects tumor recurrence following surgical resection of hepatocellular carcinoma (HCC). Methods: Patients who underwent curative resection of HCC between 2000 and 2022 were identified from an international multicenter cohort. We longitudinally quantified perioperative inflammatory dynamics, particularly neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII). The primary endpoint was recurrence-free survival (RFS). Model performance was validated through bootstrap resampling (1000 iterations) and ROC analysis. Results: A total of 745 patients were included. Among the dynamic changes of inflammation cells count, only changes in NLR at postoperative day 3 versus preoperative value (ΔNLR3) was identified as a strong predictor associated with HCC recurrence (HR 1.005, 95 % 1.002–1.009; p = 0.002). The optimal cutoff value of ΔNLR3 was defined as 47, and patients with ΔNLR3 ≥ 47 had 75 % increased risk of tumor recurrence versus individuals with ΔNLR3 < 47 (HR 1.75, 95 % CI 1.35–2.28, p < 0.001). Moreover, ΔNLR3 could be utilized in differentiating high-versus low-recurrence risk patients with early staged HCC. By combining ΔNLR3 with tumor-associated risk factors, we created an InfTumMod model, which demonstrated very good predictive accuracy of 70 % relative to tumor recurrence within the first three years following surgical resection of HCC. Conclusions: The ΔNLR3 index reflected systemic inflammation and risk of tumor recurrence. The InfTumMod model incorporated inflammation index and tumor characteristics, which can help identify patients at higher risk of recurrence and mortality.

源语言英语
期刊论文编号110320
期刊European Journal of Surgical Oncology
51
10
DOI
出版状态已出版 - 10月 2025

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