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
{"title":"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","authors":"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","doi":"10.1016/j.jmsacl.2023.11.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>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.</p></div><div><h3>Objectives</h3><p>The objective of this study was to identify the proteoforms that are measured by VS.</p></div><div><h3>Methods</h3><p>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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusion</h3><p>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.</p></div>","PeriodicalId":52406,"journal":{"name":"Journal of Mass Spectrometry and Advances in the Clinical Lab","volume":"30 ","pages":"Pages 51-60"},"PeriodicalIF":3.1000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667145X23000354/pdfft?md5=43d2c758d2d2862f33f425c51e08b521&pid=1-s2.0-S2667145X23000354-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Molecular and translational biology of the blood-based VeriStrat® proteomic test used in cancer immunotherapy treatment guidance\",\"authors\":\"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\",\"doi\":\"10.1016/j.jmsacl.2023.11.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>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.</p></div><div><h3>Objectives</h3><p>The objective of this study was to identify the proteoforms that are measured by VS.</p></div><div><h3>Methods</h3><p>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.</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusion</h3><p>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. 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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.