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基于对肿瘤坏死因子-α抑制剂无应答预测的治疗选择的临床实用性:来自类风湿关节炎分子特征加速信息研究(AIMS)的分析。

Clinical utility of therapy selection informed by predicted nonresponse to tumor necrosis factor-ɑ inhibitors: an analysis from the Study to Accelerate Information of Molecular Signatures (AIMS) in rheumatoid arthritis.

机构信息

Division of Immunology/Rheumatology, Stanford University School of Medicine, Palo Alto, CA, USA.

Metroplex Clinical Research Center, Rheumatology Department, THR Presbyterian Hospital, Dallas, TX, USA.

出版信息

Expert Rev Mol Diagn. 2022 Jan;22(1):101-109. doi: 10.1080/14737159.2022.2020648. Epub 2021 Dec 30.

Abstract

BACKGROUND

The molecular signature response classifier (MSRC) is a blood-based precision medicine test that predicts nonresponders to tumor necrosis factor-ɑ inhibitors (TNFi) in rheumatoid arthritis (RA) so that patients with a molecular signature of non-response to TNFi can be directed to a treatment with an alternative mechanism of action.

RESEARCH DESIGN AND METHODS

This study evaluated decision choice and treatment outcomes resulting from MSRC-informed treatment selection within a real-world cohort.

RESULTS

Therapy selection by providers was informed by MSRC results for 73.5% (277/377) of patients. When MSRC results were not incorporated into decision-making, 62.0% (62/100) of providers reported deviating from test recommendations due to insurance-related restrictions. The 24-week ACR50 responses in patients prescribed a therapy in alignment with MSRC results were 39.6%. Patients with a molecular signature of non-response had significantly improved responses to non-TNFi therapies compared with TNFi therapies (ACR50 34.8% vs 10.3%, p-value = 0.05). This indicates that predicted non-responders to TNFi therapies are not nonresponders to other classes of RA targeted therapy. Significant changes were also observed for CDAI, ACR20, ACR70, and for responses at 12 weeks.

CONCLUSIONS

Adoption of the MSRC into patient care could fundamentally shift treatment paradigms in RA, resulting in substantial improvements in real-world treatment outcomes.

摘要

背景

分子特征反应分类器(MSRC)是一种基于血液的精准医学测试,可预测类风湿关节炎(RA)中肿瘤坏死因子-α抑制剂(TNFi)的无应答者,以便将具有 TNFi 无应答分子特征的患者引导至具有替代作用机制的治疗方法。

研究设计与方法

本研究在真实队列中评估了 MSRC 指导的治疗选择所产生的决策选择和治疗结果。

结果

MSRC 结果为 73.5%(277/377)的患者提供了治疗选择信息。当 MSRC 结果未纳入决策制定时,由于保险相关限制,62.0%(62/100)的提供者报告偏离了测试建议。按照 MSRC 结果开具治疗药物的患者在 24 周时 ACR50 的应答率为 39.6%。与 TNFi 治疗相比,具有非应答分子特征的患者对非 TNFi 治疗的应答有显著改善(ACR50 34.8% vs 10.3%,p 值=0.05)。这表明,预测对 TNFi 治疗无应答的患者并非对其他类别的 RA 靶向治疗无应答。CDAI、ACR20、ACR70 和 12 周时的应答也观察到显著变化。

结论

将 MSRC 应用于患者护理可以从根本上改变 RA 的治疗模式,从而显著改善真实世界的治疗结果。

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