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Updated: Dec 19, 2025

Generation of a Mouse Spontaneous Autoimmune Thyroiditis Model
Published on: March 17, 2023
Integrative analysis of key candidate genes and signaling pathways in autoimmune thyroid dysfunction related to
Ying Zhang1, Francesca Garofano1, Xiaolong Wu1
1Department of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital Bonn, Venusberg-Campus 1, D-53127, Bonn, Germany.
Abstract:
Cytotoxic T lymphocyte-associated antigen-4 (CTLA-4), the first immune checkpoint to be targeted clinically, has provided an effective treatment option for various malignancies. However, the clinical advantages associated with CTLA-4 inhibitors can be offset by the potentially severe immune-related adverse events (IRAEs), including autoimmune thyroid dysfunction. To investigate the candidate genes and signaling pathways involving in autoimmune thyroid dysfunction related to anti-CTLA-4 therapy, integrated differentially expressed genes (DEGs) were extracted from the intersection of genes from Gene Expression Omnibus (GEO) datasets and text mining. The functional enrichment was performed by gene ontology (GO) annotation and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis. Protein-protein interaction (PPI) network, module enrichment, and hub gene identification were constructed and visualized by the online Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape software. A total of 22 and 17 integrated human DEGs in hypothyroidism and hyperthyroidism group related to anti-CTLA-4 therapy were identified, respectively. Functional enrichment analysis revealed 24 GO terms and 1 KEGG pathways in the hypothyroid group and 21 GO terms and 2 KEGG pathways in the hyperthyroid group. After PPI network construction, the top five hub genes associated with hypothyroidism were extracted, including ALB, MAPK1, SPP1, PPARG, and MIF, whereas those associated with hyperthyroidism were ALB, FCGR2B, CD44, LCN2, and CD74. The identification of the candidate key genes and enriched signaling pathways provides potential biomarkers for autoimmune thyroid dysfunction related to anti-CTLA-4 therapy and might contribute to the future diagnosis and management of IRAEs for cancer patients.
Insights
This study identifies key genes and pathways involved in thyroid dysfunction caused by anti-CTLA-4 cancer therapy. Findings may aid in diagnosing and managing immune-related adverse events in patients.
Area of Science:
- Immunology
- Oncology
- Endocrinology
Background:
- Cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) inhibitors are effective cancer treatments.
- Immune-related adverse events (IRAEs), such as autoimmune thyroid dysfunction, can limit CTLA-4 therapy.
- Identifying mechanisms of IRAEs is crucial for patient management.
Purpose of the Study:
- To investigate candidate genes and signaling pathways in anti-CTLA-4 therapy-induced autoimmune thyroid dysfunction.
- To identify potential biomarkers for early diagnosis and management of these IRAEs.
Main Methods:
- Integrated analysis of Gene Expression Omnibus (GEO) datasets and text mining to identify differentially expressed genes (DEGs).
- Functional enrichment analysis using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.
- Protein-protein interaction (PPI) network construction and hub gene identification using STRING and Cytoscape.
Main Results:
- Identified 22 DEGs in hypothyroidism and 17 DEGs in hyperthyroidism related to anti-CTLA-4 therapy.
- Discovered significant GO terms and KEGG pathways for both hypothyroid and hyperthyroid groups.
- Pinpointed top hub genes for hypothyroidism (ALB, MAPK1, SPP1, PPARG, MIF) and hyperthyroidism (ALB, FCGR2B, CD44, LCN2, CD74).
Conclusions:
- The identified genes and pathways offer potential biomarkers for anti-CTLA-4 therapy-induced autoimmune thyroid dysfunction.
- These findings may improve the diagnosis and management of IRAEs in cancer patients undergoing CTLA-4 treatment.
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