Ponvilawan Ben, Khan Abdul Wali, Subramanian Janakiraman, Bansal Dhruv
Department of Internal Medicine, University of Missouri-Kansas City School of Medicine, Kansas City, MO 64108, USA.
Inova Schar Cancer Institute, Fairfax, VA 22031, USA.
Cancers (Basel). 2024 Mar 20;16(6):1225. doi: 10.3390/cancers16061225.
Immune-related adverse events (irAEs) are the most common complication of immune checkpoint inhibitor (ICI) therapy. With the widespread use of ICIs in patients with solid tumors, up to 40% of the patients develop irAEs within five months of treatment, and 11% develop severe irAEs requiring interventions. A predictive test for irAEs would be a crucial tool for monitoring for complications during and after ICI therapy. We performed an extensive review of potential predictive biomarkers for irAEs in patients who received ICI therapy. Currently, only thyroid-stimulating hormone is utilized in common clinical practice. This is due to the unavailability of commercial tests and unclear predictive values from various studies. Given the lack of single strong predictive biomarkers, some novel approaches using composite scores using genomic, transcriptomics, cytokine levels, or clinical parameters appear appealing. Still, these have yet to be validated and incorporated into clinical practice. Further research conducted to validate the models before implementing them into real-world settings will be of the utmost importance for irAE prediction.
免疫相关不良事件(irAEs)是免疫检查点抑制剂(ICI)治疗最常见的并发症。随着ICI在实体瘤患者中的广泛应用,高达40%的患者在治疗后五个月内出现irAEs,11%出现需要干预的严重irAEs。irAEs的预测检测将是监测ICI治疗期间及之后并发症的关键工具。我们对接受ICI治疗患者中irAEs的潜在预测生物标志物进行了广泛综述。目前,临床实践中常用的仅有促甲状腺激素。这是由于缺乏商业检测方法且各项研究的预测价值不明确。鉴于缺乏单一强有力的预测生物标志物,一些使用基因组、转录组学、细胞因子水平或临床参数的综合评分的新方法似乎很有吸引力。然而,这些方法尚未得到验证,也未纳入临床实践。在将这些模型应用于实际临床之前进行进一步研究以验证它们对于irAE预测至关重要。