AI Article Synopsis

  • Primary and secondary adrenal insufficiency (AI) can occur as immune-related side effects from immune checkpoint inhibitors (ICIs), making it crucial to identify at-risk patients for better safety management.
  • * Recent studies have focused on finding new biomarkers, particularly autoantibodies, that may indicate susceptibility to ICI-induced AI through T-cell activation of autoreactive B cells.
  • * The review discusses various autoantibodies linked to primary and secondary AI and suggests that standardized testing for these autoantibodies could help in identifying patients at risk, ultimately improving the treatment and management of ICI-induced AI.

Article Abstract

Primary and secondary adrenal insufficiency (AI) are commonly known immune-related adverse events following treatment with immune checkpoint inhibitors (ICIs), and are clinically relevant due to their morbidity and potential mortality. For this reason, upfront identification of patients susceptible for ICI-induced AI could be a step in improving patient's safety. Multiple studies have focused on the identification of novel biomarkers for ICI-induced AI, including autoantibodies, which may be involved in ICI-induced AI as a result of the T-cell-mediated activation of autoreactive B cells. This review highlights the currently described autoantibodies that may be involved in either primary [e.g. anti-21-hydroxylase, anti-17α-hydroxylase, anti-P450scc, anti-aromatic L-amino acid decarboxylase (AADC), anti-interferon (IFN)α and anti-IFNΩ] or secondary AI [e.g. anti-guanine nucleotide-binding protein G(olf) subunit alpha (GNAL), anti-integral membrane protein 2B (ITM2B), anti-zinc finger CCHC-type containing 8 (ZCCHC8), anti-pro-opiomelanocortin (POMC), anti-TPIT (corticotroph-specific transcription factor), anti-pituitary-specific transcriptional factor-1 (PIT-1) and others], and discusses the current evidence concerning their role as biomarker for ICI-induced AI. Standardized autoantibody measurements in patients (to be) treated with ICIs would be a clinically accessible and patient-friendly screening method to identify the patients at risk, and could change the management of ICI-induced AI.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014276PMC
http://dx.doi.org/10.1016/j.iotech.2023.100374DOI Listing

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