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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与转化生物学

Molecular and translational biology of the blood-based VeriStrat® proteomic test used in cancer immunotherapy treatment guidance.

作者信息

Koc Matthew A, Wiles Timothy Aaron, Weinhold Daniel C, Rightmyer Steven, Weaver Amanda L, McDowell Colin T, Roder Joanna, Asmellash Senait, Pestano Gary A, Roder Heinrich, Georgantas Iii Robert W

机构信息

Biodesix Inc., 2970 Wilderness Place Suite 100, Boulder, CO 80301, United States.

出版信息

J Mass Spectrom Adv Clin Lab. 2023 Nov 20;30:51-60. doi: 10.1016/j.jmsacl.2023.11.001. eCollection 2023 Nov.

DOI:10.1016/j.jmsacl.2023.11.001
PMID:38074293
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10709509/
Abstract

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.

摘要

引言

VeriStrat®检测(VS)是一种基于血液的检测方法,通过分析从人血清和血浆的基质辅助激光解吸/电离飞行时间(MALDI-TOF)分析获得的光谱中的八个特征来预测患者对治疗的反应。在最近对INSIGHT临床试验(NCT03289780)的分析中发现,VS标签“VS良好”和“VS不良”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,但这些特征背后的具体蛋白亚型尚未得到全面鉴定。

目的

本研究的目的是鉴定VS所测量的蛋白亚型。

方法

为了解析用于获取VS DeepMALDI®分析血清质谱的低分辨率MALDI-TOF程序获得的特征,采用了该技术。该技术能够识别这些特征内更精细的峰。此外,然后使用反相分级分离和液相色谱-串联质谱(LC-MS/MS)相结合的方法来鉴定与这些峰相关的蛋白亚型。

结果

分析表明,VS测量的光谱的主要成分是血清淀粉样蛋白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亚型被确定为这些特征的重要组成部分。这些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。它开辟了更多研究,可进一步扩展我们的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc89/10709509/f3224051aa13/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc89/10709509/b4b4477eab72/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc89/10709509/ad7352624997/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc89/10709509/4cb911325509/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc89/10709509/588b5d05cd2a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc89/10709509/f3224051aa13/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc89/10709509/b4b4477eab72/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc89/10709509/ad7352624997/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc89/10709509/4cb911325509/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc89/10709509/588b5d05cd2a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc89/10709509/f3224051aa13/gr5.jpg

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