基于细胞的检测预测肿瘤坏死因子抑制剂治疗反应的效力。

IF 3.6 3区 医学 Q1 PATHOLOGY
Noa Rose, Ari Polachek, Daniel Levinson, Ori Elkayam, Smadar Gertel
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引用次数: 0

摘要

肿瘤坏死因子抑制剂(TNFi)已经彻底改变了风湿病和炎症性疾病的治疗。尽管它们有效,但至少30%的患者对TNFi治疗没有反应。有五种经fda批准的TNFi和几种TNFi生物仿制药,它们相当于它们的参比药物。尽管所有的TNF - fi药物都能中和TNF细胞因子,但它们在许多结构和药代动力学性质上有所不同。这些差异可能导致不同的患者反应,使一种TNFi对特定患者有效,而另一种则无效。因此,对治疗的先验反应的准确预测,而不是反复试验,将是非常有价值的。可能指导最佳TNFi选择的生物标志物是一个未满足的需求。涵盖的领域:作者讨论了基于细胞的检测(cba)的诊断和预测功能,根据给定患者对各种TNFi药物的免疫细胞反应来选择个体化TNFi治疗,以预测这些药物的临床结果。专家意见:cba允许通过测量生物标志物来同时评估对多种TNFi药物的反应,这些生物标志物可以区分TNFi应答者和无应答者,有效地优先选择TNFi。本文献检索的重点是生物标志物和技术,可用于预测cba对TNFi的临床反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The potency of cell-based assays to predict response to TNF inhibitor therapy.

Introduction: Tumor necrosis factor inhibitors (TNFi) have revolutionized rheumatic and inflammatory diseases therapy. Despite their efficacy, at least 30% of patients do not respond to TNFi therapy. There are five FDA-approved TNFis and several TNFi biosimilars, which are equivalent to their reference drugs. Although all TNFi drugs neutralize the TNF cytokine, they differ in many structural and pharmacokinetic properties. These differences may lead to varying patient responses, making one TNFi, but not another, effective for a given patient. An accurate prediction of a priori responsiveness to therapy, rather than trial and error, would therefore be of great value. Biomarkers that may guide the optimal TNFi choice are an unmet need.

Areas covered: The authors discuss the diagnostic and predictive utilities of Cell-Based Assays (CBAs) for individualized TNFi therapy. Selection of TNFi can be based upon a given patient's immune cell response to the various TNFi drugs to predict their clinical outcomes to those drugs.

Expert opinion: CBAs allow to assess the response of multiple TNFi drugs simultaneously by measuring biomarkers that could distinguish between TNFi responders and non-responders, effectively prioritizing the TNFi of choice. This literature search focuses on biomarkers and techniques that could be used as predictive CBAs for clinical response to TNFi.

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来源期刊
CiteScore
6.60
自引率
0.00%
发文量
71
审稿时长
1 months
期刊介绍: Expert Review of Molecular Diagnostics (ISSN 1473-7159) publishes expert reviews of the latest advancements in the field of molecular diagnostics including the detection and monitoring of the molecular causes of disease that are being translated into groundbreaking diagnostic and prognostic technologies to be used in the clinical diagnostic setting. Each issue of Expert Review of Molecular Diagnostics contains leading reviews on current and emerging topics relating to molecular diagnostics, subject to a rigorous peer review process; editorials discussing contentious issues in the field; diagnostic profiles featuring independent, expert evaluations of diagnostic tests; meeting reports of recent molecular diagnostics conferences and key paper evaluations featuring assessments of significant, recently published articles from specialists in molecular diagnostic therapy. Expert Review of Molecular Diagnostics provides the forum for reporting the critical advances being made in this ever-expanding field, as well as the major challenges ahead in their clinical implementation. The journal delivers this information in concise, at-a-glance article formats: invaluable to a time-constrained community.
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