Intratumoral Proton Density Fat Fraction Predicts the Outcome of <scp>HAIC</scp> Combined With <scp>PD</scp> ‐1 Inhibitors in Advanced Hepatocellular Carcinoma

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.

Authors

Institutions

Publication Details

Journal
Cancer Medicine
Published
2026-04-27
DOI
https://doi.org/10.1002/cam4.71895
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Laizhu Zhang, Yan Xu, Yujie Ye, Binghua Li et al.
Cancer Medicine
Hepatocellular Carcinoma Treatment and Prognosis
article

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

Laizhu Zhang, Yan Xu, Yujie Ye, Binghua Li, Yunzheng Li, Yanjun Lu, H Y Li, Decai Yu, Min Zhou, Yican Zhu
article en

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.

Cancer MedicineVol. 15(5)
Nanjing Drum Tower Hospital (CN)
National Natural Science Foundation of China, Outstanding Youth Foundation of Jiangsu Province of China
Good health and well-being
Openalex Percentile: Top 23%
Hepatocellular Carcinoma Treatment and Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.