Thyroid disorders induced by immune checkpoint inhibitors.
Dimitra KaravitiEleni-Rafaela KaniEleftheria KaravitiEleni GerontitiOlympia MichalopoulouKaterina StefanakiParaskevi KazakouVasiliki VasileiouTheodora PsaltopoulouStavroula A PaschouPublished in: Endocrine (2024)
Immune checkpoint inhibitors (ICIs) are a revolutionary class of drugs that powerfully contribute to cancer therapy by harnessing the immune system to fight malignancies. However, their successful use as anti-cancer drugs is accompanied by a wide spectrum of immune-related adverse effects (irAEs), including endocrinopathies. Among them, thyroid dysfunction stands out as one of the most common endocrinopathies induced by ICI therapy and surfaces as a prominent concern. Destructive thyroiditis is the pathophysiological basis shared by the most common patterns of thyrotoxicosis followed by hypothyroidism and isolated hypothyroidism. Diagnostic approach is guided by clinical manifestation, laboratory evaluation and imaging modalities. Treatment approaches range from the substitution of levothyroxine to the utilization of beta blockers, depending on the extent of thyroid dysfunction's severity. While the medical community is dealing with the evolution and complexities of immunotherapy, recognizing and effectively managing ICI-induced thyroid dysfunction emerged as crucial for enhancing patient safety and achieving improved outcomes. The aim of this review is to navigate the significance of ICI-induced thyroid dysfunction unraveling the various patterns, underlying mechanisms, diagnostic approaches, and treatment strategies. It, also, highlights the impact of various factors such as cancer subtype, ICI dosage, age, and genetic susceptibility on the risk of experiencing dysfunction.
Keyphrases
- patient safety
- oxidative stress
- cancer therapy
- drug induced
- healthcare
- diabetic rats
- high resolution
- mental health
- gene expression
- replacement therapy
- bone marrow
- type diabetes
- machine learning
- staphylococcus aureus
- squamous cell carcinoma
- escherichia coli
- skeletal muscle
- young adults
- fluorescence imaging
- dna methylation
- artificial intelligence
- lymph node metastasis
- candida albicans