Rechallenge with Immune Checkpoint Inhibitors in Patients with Hepatocellular Carcinoma: A Narrative Review
Jin Li1, Yu-Bo Liang1, Qing-Bo Wang1
1Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Rechallenge with immune checkpoint inhibitors (ICIs) offers a viable strategy for hepatocellular carcinoma (HCC) patients, showing antitumor effects. Further research is needed to optimize regimens and patient selection for this immunotherapy approach.
Area of Science:
- Hepatocellular Carcinoma Research
- Immunotherapy
- Cancer Treatment
Background:
- Immune checkpoint inhibitors (ICIs) are used for hepatocellular carcinoma (HCC).
- Rechallenge with ICIs is a developing strategy for HCC patients who stop initial immunotherapy.
- Standardized rechallenge protocols and mechanistic understanding are lacking.
Purpose of the Study:
- To review clinical evidence, regimens, patient characteristics, and biological rationale for ICI rechallenge in HCC.
- To summarize current strategies and outcomes of ICI rechallenge.
- To highlight future research directions for optimizing ICI rechallenge.
Main Methods:
- Comprehensive literature review of clinical studies on ICI rechallenge for HCC.
- Analysis of different rechallenge strategies, including combinations with targeted therapy and dual ICIs.
- Examination of patient factors associated with clinical benefits and mechanistic insights.
Main Results:
- Four main ICI rechallenge strategies identified, often involving targeted therapy with anti-PD-L1 or dual ICIs.
- ICI rechallenge demonstrated variable but notable antitumor activity and an acceptable safety profile.
- Benefits were more frequent in patients with preserved liver function, younger age, and lower tumor burden, though heterogeneity exists.
Conclusions:
- ICI rechallenge is a rational option for selected HCC patients, offering additional clinical benefit.
- Immune-related adverse events (irAEs) may increase but are generally manageable.
- Future research should focus on optimizing regimens, biomarkers, and understanding molecular mechanisms for personalized strategies.
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