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Updated: Jul 16, 2025
Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
Published on: April 12, 2024
Lung immune prognostic index‑based nomogram for recurrence of hepatocellular carcinoma after postoperative adjuvant
Yuxin Liang1, Ruoyi Yang2,3, Jin Shang1
1Liver Transplantation Center and HBP Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Background:
Transarterial chemoembolization (TACE), one of the most commonly used postoperative adjuvant therapy for HCC, has achieved satisfactory outcomes. This study aimed to explore the prognostic value of lung immune prognostic index (LIPI) and develop a novel nomogram for recurrence-free survival (RFS) of HCC patients received postoperative adjuvant TACE (PA-TACE).
Methods:
The prognostic value of LIPI was evaluated by C-index, receiver operating characteristic (ROC) analysis, and Kaplan-Meier survival curve. An effective nomogram based on preoperative prognostic factors was established from multivariate analysis and validated in the validation cohort.
Results:
The ROC and survival analysis demonstrated that the LIPI exhibited better prediction performance of HCC recurrence than other inflammatory biomarkers. According to univariate and multivariate analysis, LIPI, followed by AFP, MVI and age, were significant independent predictors for HCC recurrence and were utilized to construct the nomogram. The C-indexes of the nomogram were 0.746 (95% CI 0.721-0.770) and 0.738 (95% CI 0.701-0.775) in the training and validation cohort, respectively. The AUCs for the 1-, 2-, and 3-year RFS were 0.799, 0.867 and 0.884 in the training cohort and 0.798, 0.779 and 0.770 in the validation cohort, respectively. The calibration curves presented good consistencies. Moreover, compared with the LIPI and other clinical staging system, the established nomogram presented better prognostic performance.
Conclusion:
Preoperative LIPI might be a powerful predictor for RFS in HCC patients received PA-TACE. The LIPI-based nomogram could further effectively predict the risk of recurrence and help clinicians formulate personalized follow-up strategies and adjuvant therapy to improve patient outcomes.
