Molecular & Translational Biology of the Blood-Based VeriStrat® Proteomic Test Used in Cancer Immunotherapy Treatment Guidance

Author:

Koc Matthew A,Wiles Timothy AaronORCID,Weinhold Daniel C,Rightmyer Steven,Roder Joanna,Asmellash Senait,Roder Heinrich,Georgantas Robert W

Abstract

AbstractINTRODUCTIONThe blood-based VeriStrat®proteomic test (VS) predicts patient response to therapy based on the intensities of eight different features in a mass spectrum obtained from MALDI-TOF analysis of human serum/plasma specimens. An interim analysis of the INSIGHT clinical trial (NCT03289780) demonstrated that VS labels, VS Good and VS Poor, predict patients with non-small cell lung cancer (NSCLC) who are likely sensitive or resistant to immune checkpoint inhibitor (ICI) therapy [1]. While VS measures intensities of eight spectral features by matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry from patient serum/plasma samples, the individual proteoforms underlying these features have not been rigorously and comprehensively identified.OBJECTIVESThe objective of this study was to identify the proteoforms measured by VS.METHODSMass spectra for VS are acquired using a standard low-resolution MALDI-TOF procedure that generates broad, composite features. DeepMALDI [2] analysis of serum samples was used to resolve these features into finer peaks. Top-down proteomics analysis of human serum, combining reversed-phase fractionation and liquid chromatography – tandem mass spectrometry (LC-MS/MS), was then used to identify the key proteoform constituents of these peaks.RESULTSIt was determined that proteoforms of serum amyloid A1, serum amyloid A2, serum amyloid A4, C-reactive protein, and beta-2 microglobulin are primary constituents of the VS spectral features.CONCLUSIONProteoforms of several proteins related to host immunity were identified as major constituents of these features. This information advances our understanding of how VS can predict patient response to therapy and opens the way for further translational studies.HighlightsThe combination of top-down proteomics and DeepMALDI®spectrometry enables the identification of proteoforms measured by the VeriStrat Proteomic test.Proteoforms of serum amyloid A1 (SAA1), SAA2, SAA4, beta-2 microglobulin, and C-reactive protein are the primary constituents of the spectral features measured in the VeriStrat proteomic test.The proteins assayed by the VeriStrat proteomic test have individual prognostic value for oncology and immuno-oncology outcomes.The proteins assessed by the VeriStrat proteomic test have been shown to have direct effects on patient immune activity.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3