Helderman N C, Lucas M W, Blank C U
Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam.
Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Immunooncol Technol. 2023 Feb 11;17:100374. doi: 10.1016/j.iotech.2023.100374. eCollection 2023 Mar.
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.
原发性和继发性肾上腺功能不全(AI)是免疫检查点抑制剂(ICI)治疗后常见的免疫相关不良事件,因其发病率和潜在死亡率而具有临床相关性。因此,预先识别易发生ICI诱导的AI的患者可能是提高患者安全性的重要一步。多项研究聚焦于识别ICI诱导的AI的新型生物标志物,包括自身抗体,其可能由于自身反应性B细胞的T细胞介导激活而参与ICI诱导的AI。本综述重点介绍了目前已描述的可能参与原发性AI(如抗21-羟化酶、抗17α-羟化酶、抗P450scc、抗芳香族L-氨基酸脱羧酶(AADC)、抗干扰素(IFN)α和抗IFNΩ)或继发性AI(如抗鸟嘌呤核苷酸结合蛋白G(olf)亚基α(GNAL)、抗整合膜蛋白2B(ITM2B)、抗含锌指CCHC型8(ZCCHC8)、抗阿黑皮素原(POMC)、抗TPIT(促肾上腺皮质激素特异性转录因子)、抗垂体特异性转录因子-1(PIT-1)等)的自身抗体,并讨论了关于它们作为ICI诱导的AI生物标志物作用的现有证据。对接受ICI治疗的患者进行标准化自身抗体检测将是一种临床可行且对患者友好的筛查方法,用于识别有风险的患者,并可能改变ICI诱导的AI的管理方式。