Related Experiment Video
Updated: Jul 12, 2026

04:39
Generation of a Mouse Spontaneous Autoimmune Thyroiditis Model
Published on: March 17, 2023
Emerging mechanisms and targetable pathways in immune checkpoint inhibitor‑associated thyroid dysfunction: From
Tianying Zhang1, Hengtong Han2, Hao Shi1
1The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China.
Critical Reviews in Oncology/Hematology
|July 9, 2026
Summary
Immune checkpoint inhibitors (ICIs) can cause thyroid dysfunction. This review proposes a new framework for predicting and managing ICI-related thyroid dysfunction to improve immunotherapy safety.
Area of Science:
- Oncology
- Immunology
- Endocrinology
Background:
- Immune checkpoint inhibitors (ICIs) enhance anti-cancer immunity but can lead to immune-related thyroid dysfunction (ICI-TD).
- ICI-TD presents with diverse clinical manifestations, ranging from subclinical changes to thyroid storm, stemming from immune tolerance breakdown and autoreactive responses.
- Different ICIs (e.g., anti-PD-1/PD-L1, anti-CTLA-4) exhibit distinct thyroid toxicity profiles, with combination therapies potentially increasing risks and accelerating onset.
Purpose of the Study:
- To systematically review the mechanisms underlying ICI-TD.
- To explore emerging targeted strategies for managing ICI-TD.
- To propose a novel "mechanism-prediction-intervention" framework for optimizing ICI-TD management.
Main Methods:
- Systematic review of emerging mechanisms including immune cell interactions, epigenetic regulation, and the gut-thyroid axis.
- Review of targeted therapeutic strategies such as conditionally activated antibodies, Fc engineering, chemokine receptor targeting, and cytokine neutralization.
- Conceptualization of a predictive and interdisciplinary management framework.
Main Results:
- ICI-TD mechanisms involve complex immune cell crosstalk, epigenetic modifications, and the gut-thyroid axis.
- Novel therapeutic strategies show promise for mitigating ICI-TD.
- Current management is often reactive, relying on monitoring and hormone replacement, with delayed interventions.
Conclusions:
- A "mechanism-prediction-intervention" framework integrating multi-omics data can enable early warning and hierarchical management of ICI-TD.
- This approach is expected to optimize the risk-benefit ratio of immunotherapy.
- Implementing this framework will enhance the safety and efficacy of cancer immunotherapy.
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