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本文引用的文献

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Use of Immunotherapy With Programmed Cell Death 1 vs Programmed Cell Death Ligand 1 Inhibitors in Patients With Cancer: A Systematic Review and Meta-analysis.免疫检查点抑制剂(程序性细胞死亡蛋白 1 与程序性细胞死亡配体 1)在癌症患者中的应用:系统评价和荟萃分析。
JAMA Oncol. 2020 Mar 1;6(3):375-384. doi: 10.1001/jamaoncol.2019.5367.
2
Frequency and distribution of various rheumatic disorders associated with checkpoint inhibitor therapy.与检查点抑制剂治疗相关的各种风湿性疾病的频率和分布。
Rheumatology (Oxford). 2019 Dec 1;58(Suppl 7):vii40-vii48. doi: 10.1093/rheumatology/kez297.
3
The Levels of Interferon-gamma Release as a Biomarker for Non-small-cell Lung Cancer Patients Receiving Immune Checkpoint Inhibitors.干扰素-γ释放作为接受免疫检查点抑制剂治疗的非小细胞肺癌患者的生物标志物的水平。
Anticancer Res. 2019 Nov;39(11):6231-6240. doi: 10.21873/anticanres.13832.
4
Variation in the Assessment of Immune-Related Adverse Event Occurrence, Grade, and Timing in Patients Receiving Immune Checkpoint Inhibitors.免疫检查点抑制剂治疗患者免疫相关不良事件发生、分级和时间评估的差异。
JAMA Netw Open. 2019 Sep 4;2(9):e1911519. doi: 10.1001/jamanetworkopen.2019.11519.
5
C-reactive protein as an early marker of immune-related adverse events.C-反应蛋白作为免疫相关不良事件的早期标志物。
J Cancer Res Clin Oncol. 2019 Oct;145(10):2625-2631. doi: 10.1007/s00432-019-03002-1. Epub 2019 Sep 6.
6
A case report of clonal EBV-like memory CD4 T cell activation in fatal checkpoint inhibitor-induced encephalitis.致命性免疫检查点抑制剂诱导性脑炎中克隆性 EBV 样记忆 CD4 T 细胞激活的病例报告。
Nat Med. 2019 Aug;25(8):1243-1250. doi: 10.1038/s41591-019-0523-2. Epub 2019 Jul 22.
7
Biomarkers for Predicting Response to Immunotherapy with Immune Checkpoint Inhibitors in Cancer Patients.癌症患者免疫检查点抑制剂治疗反应的预测生物标志物。
Clin Chem. 2019 Oct;65(10):1228-1238. doi: 10.1373/clinchem.2019.303644. Epub 2019 Jul 17.
8
Delayed immune-related events (DIRE) after discontinuation of immunotherapy: diagnostic hazard of autoimmunity at a distance.免疫治疗停药后的延迟免疫相关事件(DIRE):远处自身免疫的诊断危害。
J Immunother Cancer. 2019 Jul 3;7(1):165. doi: 10.1186/s40425-019-0645-6.
9
Immune checkpoint inhibitor-induced Type 1 diabetes: a systematic review and meta-analysis.免疫检查点抑制剂相关 1 型糖尿病:系统评价和荟萃分析。
Diabet Med. 2019 Sep;36(9):1075-1081. doi: 10.1111/dme.14050. Epub 2019 Jul 7.
10
The safety and tolerability of combined immune checkpoint inhibitors (anti-PD-1/PD-L1 plus anti-CTLA-4): a systematic review and meta-analysis.联合免疫检查点抑制剂(抗 PD-1/PD-L1 加抗 CTLA-4)的安全性和耐受性:系统评价和荟萃分析。
BMC Cancer. 2019 Jun 10;19(1):559. doi: 10.1186/s12885-019-5785-z.

用于预测和诊断检查点抑制剂免疫相关不良事件的研究生物标志物。

Investigational Biomarkers for Checkpoint Inhibitor Immune-Related Adverse Event Prediction and Diagnosis.

机构信息

Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.

Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX.

出版信息

Clin Chem. 2020 Jun 1;66(6):779-793. doi: 10.1093/clinchem/hvaa081.

DOI:10.1093/clinchem/hvaa081
PMID:32363387
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7259479/
Abstract

BACKGROUND

Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of multiple cancers. However, these promising therapies may also cause immune-related adverse events (irAEs) in a substantial proportion of patients. These autoimmune phenomena may affect almost any organ system and may occur at almost any point in therapy. In some instances, these toxicities are life-threatening and potentially permanent. Diverse clinical presentation and unpredictable timing further complicate their anticipation and diagnosis.

CONTENT

To improve patient safety and selection for ICI use, biomarkers for irAE diagnosis and prediction are under development. Clinicians may use traditional laboratory markers such as routine chemistries, creatinine clearance, thyroid function tests, and serum cortisol/adrenocorticotrophic hormone to monitor for specific irAEs, but noted aberrations may not necessarily represent an immune-mediated etiology. Novel biomarkers have the potential to be more specific to assist in the diagnosis of irAEs. The prediction of irAEs is more challenging. Apart from a history of autoimmune disease, no other clinical parameters are routinely used to project risk. Biomarker candidates under investigation for irAE diagnosis and prediction include blood cell analysis, chemokines/cytokines, autoantibodies, and genetic predisposition, such as human leukocyte antigen haplotype. Among other emerging candidates are immune-cell subsets, T-cell repertoire, fecal microbiome, tumor genomics, and radiomic characterization.

SUMMARY

Several conventional laboratory indexes of end-organ dysfunction are currently in routine clinical use for irAE monitoring and diagnosis. Novel biomarkers for the prediction and diagnosis of these irAEs, which primarily characterize patient immune function, represent an area of active investigation.

摘要

背景

免疫检查点抑制剂(ICIs)已彻底改变了多种癌症的治疗方式。然而,这些有前途的治疗方法也可能在相当一部分患者中引起免疫相关的不良反应(irAEs)。这些自身免疫现象可能影响几乎任何器官系统,并可能在治疗过程中的任何时间发生。在某些情况下,这些毒性是危及生命的,并且可能是永久性的。不同的临床表现和不可预测的时间进一步增加了它们的预测和诊断的复杂性。

内容

为了提高患者安全性并选择使用 ICI,正在开发用于 irAE 诊断和预测的生物标志物。临床医生可以使用传统的实验室标志物,如常规化学、肌酐清除率、甲状腺功能测试和血清皮质醇/促肾上腺皮质激素,来监测特定的 irAEs,但注意到的异常不一定代表免疫介导的病因。新型生物标志物有可能更具特异性,有助于诊断 irAEs。irAE 的预测更具挑战性。除了自身免疫性疾病史外,没有其他临床参数常规用于预测风险。正在研究用于 irAE 诊断和预测的生物标志物候选物包括血细胞分析、趋化因子/细胞因子、自身抗体和遗传易感性,如人类白细胞抗原单倍型。其他新兴的候选物包括免疫细胞亚群、T 细胞库、粪便微生物组、肿瘤基因组学和放射组学特征。

总结

目前,几种常规的终末器官功能障碍实验室指标用于 irAE 的监测和诊断。用于预测和诊断这些主要反映患者免疫功能的 irAEs 的新型生物标志物是一个活跃的研究领域。