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Intratumoral Proton Density Fat Fraction Predicts the Outcome of HAIC Combined With PD-1 Inhibitors in Advanced Hepatocellular Carcinoma.

Cancer medicine 2026 Vol.15(5) p. e71895

Ye Y, Li Y, Lu Y, Xu Y, Zhang L, Zhu Y, Li H, Li B, Zhou M, Yu D

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[BACKGROUND AND AIMS] This study aimed to explore the predictive value of intratumoral proton density fat fraction (PDFF) and the clinical efficacy of hepatic arterial infusion chemotherapy (HAIC) com

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  • p-value p = 0.0085
  • p-value p = 0.012
  • 95% CI 0.218-0.818
  • 연구 설계 cohort study

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BibTeX ↓ RIS ↓
APA Ye Y, Li Y, et al. (2026). Intratumoral Proton Density Fat Fraction Predicts the Outcome of HAIC Combined With PD-1 Inhibitors in Advanced Hepatocellular Carcinoma.. Cancer medicine, 15(5), e71895. https://doi.org/10.1002/cam4.71895
MLA Ye Y, et al.. "Intratumoral Proton Density Fat Fraction Predicts the Outcome of HAIC Combined With PD-1 Inhibitors in Advanced Hepatocellular Carcinoma.." Cancer medicine, vol. 15, no. 5, 2026, pp. e71895.
PMID 42043882
DOI 10.1002/cam4.71895

Abstract

[BACKGROUND AND AIMS] This study aimed to explore the predictive value of intratumoral proton density fat fraction (PDFF) and the clinical efficacy of hepatic arterial infusion chemotherapy (HAIC) combined with anti-programmed cell death protein 1 (anti-PD-1) therapy in advanced hepatocellular carcinoma (HCC).

[METHODS] In this retrospective cohort study, patients with advanced HCC received FOLFOX-HAIC or HAIC combined with anti-PD-1 (camrelizumab). Progression-free survival (PFS) was evaluated as the time-to-event outcome, while therapeutic efficacy was assessed using tumor response rates. The Kaplan-Meier method and log-rank test were used to compare PFS. In the MRI-PDFF subset, receiver operating characteristic (ROC) analysis was used to determine the optimal PDFF cutoff for predicting nonresponse (SD or PD).

[RESULTS] Between September 2020 and August 2025, 103 patients were included, of whom 47 received HAIC monotherapy and 56 received HAIC combined with anti-PD-1 therapy. The HAIC-PD1 group demonstrated significantly longer PFS compared with the HAIC group (HR 0.423; 95% CI 0.218-0.818; p = 0.0085), and a higher objective response rate (ORR: 46.4% vs. 21.3%; p = 0.012). In the MRI-PDFF subset, baseline intratumoral PDFF was associated with treatment response. ROC analysis identified an optimal PDFF cutoff of 2.64% for predicting nonresponse (AUC 0.784; 95% CI 0.664-0.903). Patients with PDFF < 2.64% achieved a higher ORR and longer PFS compared with those with PDFF ≥ 2.64%. Longitudinal analyses showed treatment-dependent changes in PDFF after HAIC-PD1 therapy; however, ΔPDFF did not differ significantly between responders and nonresponders.

[CONCLUSION] HAIC combined with anti-PD-1 therapy demonstrated superior efficacy compared with HAIC monotherapy in advanced HCC. Baseline intratumoral PDFF may serve as a promising imaging biomarker associated with treatment response in patients receiving HAIC-PD1 therapy. Its potential prognostic relevance for time-to-event outcomes requires further validation in prospective cohorts.

MeSH Terms

Humans; Male; Liver Neoplasms; Female; Carcinoma, Hepatocellular; Middle Aged; Retrospective Studies; Antineoplastic Combined Chemotherapy Protocols; Aged; Immune Checkpoint Inhibitors; Magnetic Resonance Imaging; Programmed Cell Death 1 Receptor; Adult; Antibodies, Monoclonal, Humanized; Treatment Outcome; ROC Curve

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