用于癌症免疫治疗指导的基于血液的VeriStrat®蛋白质组学检测的分子和翻译生物学

IF 3.1 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Journal of Mass Spectrometry and Advances in the Clinical Lab Pub Date : 2023-11-01 DOI:10.1016/j.jmsacl.2023.11.001
Matthew A. Koc , Timothy Aaron Wiles , Daniel C. Weinhold, Steven Rightmyer, Amanda L. Weaver, Colin T. McDowell, Joanna Roder, Senait Asmellash, Gary A. Pestano, Heinrich Roder, Robert W. Georgantas III
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引用次数: 0

摘要

介绍:VeriStrat®测试(VS)是一种基于血液的检测方法,通过分析从基质辅助激光解吸/电离飞行时间(MALDI-TOF)分析中获得的光谱中的八个特征来预测患者对治疗的反应。在最近的INSIGHT临床试验(NCT03289780)分析中,发现VS标记,VS Good和VS Poor,可以有效预测非小细胞肺癌(NSCLC)患者对免疫检查点抑制剂(ICI)治疗的反应性。然而,虽然VS使用MALDI-TOF分析测量光谱特征的强度,但这些特征背后的特定蛋白质形态尚未得到全面鉴定。方法对低分辨率MALDI-TOF程序获得的特征进行解析,并采用DeepMALDI®进行血清的质谱分析。这种技术允许在这些特征中识别更细的峰。此外,反相分离和液相色谱-串联质谱(LC-MS/MS)相结合,然后用于鉴定与这些峰相关的蛋白质形态。结果VS测定的光谱主要成分为血清淀粉样蛋白A1、血清淀粉样蛋白A2、血清淀粉样蛋白A4、c反应蛋白和β -2微球蛋白。结论参与宿主免疫的蛋白质形式是这些特征的重要组成部分。这一新获得的信息提高了我们对VS如何准确预测患者对治疗反应的理解。它开启了更多的研究,可以进一步扩大我们的理解。
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Molecular and translational biology of the blood-based VeriStrat® proteomic test used in cancer immunotherapy treatment guidance

Introduction

The VeriStrat® test (VS) is a blood-based assay that predicts a patient's response to therapy by analyzing eight features in a spectrum obtained from matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) analysis of human serum and plasma. In a recent analysis of the INSIGHT clinical trial (NCT03289780), it was found that the VS labels, VS Good and VS Poor, can effectively predict the responsiveness of non-small cell lung cancer (NSCLC) patients to immune checkpoint inhibitor (ICI) therapy. However, while VS measures the intensities of spectral features using MALDI-TOF analysis, the specific proteoforms underlying these features have not been comprehensively identified.

Objectives

The objective of this study was to identify the proteoforms that are measured by VS.

Methods

To resolve the features obtained from the low-resolution MALDI-TOF procedure used to acquire mass spectra for VS DeepMALDI® analysis of serum was employed. This technique allowed for the identification of finer peaks within these features. Additionally, a combination of reversed-phase fractionation and liquid chromatography-tandem mass spectrometry (LC-MS/MS) was then used to identify the proteoforms associated with these peaks.

Results

The analysis revealed that the primary constituents of the spectrum measured by VS are serum amyloid A1, serum amyloid A2, serum amyloid A4, C-reactive protein, and beta-2 microglobulin.

Conclusion

Proteoforms involved in host immunity were identified as significant components of these features. This newly acquired information improves our understanding of how VS can accurately predict patient response to therapy. It opens up additional studies that can expand our understanding even further.

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来源期刊
Journal of Mass Spectrometry and Advances in the Clinical Lab
Journal of Mass Spectrometry and Advances in the Clinical Lab Health Professions-Medical Laboratory Technology
CiteScore
4.30
自引率
18.20%
发文量
41
审稿时长
81 days
期刊最新文献
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