Development and Validation of an α-Fetoprotein Tumor Burden Score Model to Predict Postrecurrence Survival among Patients with Hepatocellular Carcinoma

  • Hong Fan Ding
  • , Tian Yang
  • , Yi Lv
  • , Xu Feng Zhang
  • , Timothy M. Pawlik
  • , Francesca Ratti
  • , Hugo P. Marques
  • , Silvia Silva
  • , Olivier Soubrane
  • , Vincent Lam
  • , George A. Poultsides
  • , Irinel Popescu
  • , Razvan Grigorie
  • , Sorin Alexandrescu
  • , Guillaume Martel
  • , Alfredo Guglielmi
  • , Tom Hugh
  • , Luca Aldrighetti
  • , Itaru Endo

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

BACKGROUND: The purpose of this study is to establish a prognostic model to predict postrecurrence survival (PRS) probability after initial resection of hepatocellular carcinoma (HCC). STUDY DESIGN: Patients with recurrent HCC after curative resection were identified through a multicenter consortium (training cohort, TC); data were from a separate institution were used as validation cohort (VC). The α-fetoprotein (AFP) tumor burden score (ATS) was defined as the distance from the origin on a 3-dimensional Cartesian coordinate system that incorporated 3 variables: largest tumor diameter (x axis), number of tumors (y axis), and ln AFP (z axis). ATS was calculated using the Pythagorean theorem: ATS2 = (largest tumor diameter)2 + (number of tumors)2 + (ln AFP)2, where ATSd and ATSr represent ATS at the time of initial diagnosis and at the time of recurrence, respectively. The final model was ATSm = ATSd + 4 × ATSr. Predictive performance and discrimination of the ATS model were evaluated and compared with traditional staging systems. RESULTS: The ATS model demonstrated strong predictive performance of PRS in both the TC (area under the curve [AUC] 0.70) and VC (AUC 0.71). An ATS-based nomogram was able to stratify patients accurately into low- and high-risk categories relative to PRS (TC: ATSm ≤ 27, 74.9 months vs. ATSm ≥ 28, 23.3 months; VC: ATSm ≤ 27, 59.4 months vs. ATSm ≥ 28, 15.1 months; both p < 0.001). The ATS model predicted PRS among patients undergoing curative or noncurative treatment of HCC recurrence (both p < 0.05). Of note, the ATS model outperformed the Barcelona Clinic Liver Cancer (BCLC), China Liver Cancer (CNLC), and American Joint Committee on Cancer (AJCC) staging systems relative to 1-, 2-, 3-, 4- and 5-year PRS (AUC 0.70, vs. BCLC, AUC 0.50, vs. CNLC, AUC 0.54, vs. AJCC, AUC 0.51). CONCLUSIONS: The ATS model had excellent prognostic discriminatory power to stratify patients relative to PRS.

Original languageEnglish
Pages (from-to)982-992
Number of pages11
JournalJournal of the American College of Surgeons
Volume236
Issue number5
DOIs
StatePublished - 1 May 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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