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Analysis of Immune Checkpoint Drug Targets and Tumor Proteotypes in Non-Small Cell Lung Cancer

New therapeutics targeting immune checkpoint proteins have significantly advanced treatment of non-small cell lung cancer (NSCLC), but protein level quantitation of drug targets presents a critical problem. We used multiplexed, targeted mass spectrometry (MS) to quantify immunotherapy target protein...

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Autores principales: Liebler, Daniel C., Holzer, Timothy R., Haragan, Alexander, Morrison, Ryan D., O’Neill Reising, Leslie, Ackermann, Bradley L., Fill, Jeff A., Schade, Andrew E., Gruver, Aaron M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7300007/
https://www.ncbi.nlm.nih.gov/pubmed/32555523
http://dx.doi.org/10.1038/s41598-020-66902-0
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author Liebler, Daniel C.
Holzer, Timothy R.
Haragan, Alexander
Morrison, Ryan D.
O’Neill Reising, Leslie
Ackermann, Bradley L.
Fill, Jeff A.
Schade, Andrew E.
Gruver, Aaron M.
author_facet Liebler, Daniel C.
Holzer, Timothy R.
Haragan, Alexander
Morrison, Ryan D.
O’Neill Reising, Leslie
Ackermann, Bradley L.
Fill, Jeff A.
Schade, Andrew E.
Gruver, Aaron M.
author_sort Liebler, Daniel C.
collection PubMed
description New therapeutics targeting immune checkpoint proteins have significantly advanced treatment of non-small cell lung cancer (NSCLC), but protein level quantitation of drug targets presents a critical problem. We used multiplexed, targeted mass spectrometry (MS) to quantify immunotherapy target proteins PD-1, PD-L1, PD-L2, IDO1, LAG3, TIM3, ICOSLG, VISTA, GITR, and CD40 in formalin-fixed, paraffin-embedded (FFPE) NSCLC specimens. Immunohistochemistry (IHC) and MS measurements for PD-L1 were weakly correlated, but IHC did not distinguish protein abundance differences detected by MS. PD-L2 abundance exceeded PD-L1 in over half the specimens and the drug target proteins all displayed different abundance patterns. mRNA correlated with protein abundance only for PD-1, PD-L1, and IDO1 and tumor mutation burden did not predict abundance of any protein targets. Global proteome analyses identified distinct proteotypes associated with high PD-L1-expressing and high IDO1-expressing NSCLC. MS quantification of multiple drug targets and tissue proteotypes can improve clinical evaluation of immunotherapies for NSCLC.
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spelling pubmed-73000072020-06-22 Analysis of Immune Checkpoint Drug Targets and Tumor Proteotypes in Non-Small Cell Lung Cancer Liebler, Daniel C. Holzer, Timothy R. Haragan, Alexander Morrison, Ryan D. O’Neill Reising, Leslie Ackermann, Bradley L. Fill, Jeff A. Schade, Andrew E. Gruver, Aaron M. Sci Rep Article New therapeutics targeting immune checkpoint proteins have significantly advanced treatment of non-small cell lung cancer (NSCLC), but protein level quantitation of drug targets presents a critical problem. We used multiplexed, targeted mass spectrometry (MS) to quantify immunotherapy target proteins PD-1, PD-L1, PD-L2, IDO1, LAG3, TIM3, ICOSLG, VISTA, GITR, and CD40 in formalin-fixed, paraffin-embedded (FFPE) NSCLC specimens. Immunohistochemistry (IHC) and MS measurements for PD-L1 were weakly correlated, but IHC did not distinguish protein abundance differences detected by MS. PD-L2 abundance exceeded PD-L1 in over half the specimens and the drug target proteins all displayed different abundance patterns. mRNA correlated with protein abundance only for PD-1, PD-L1, and IDO1 and tumor mutation burden did not predict abundance of any protein targets. Global proteome analyses identified distinct proteotypes associated with high PD-L1-expressing and high IDO1-expressing NSCLC. MS quantification of multiple drug targets and tissue proteotypes can improve clinical evaluation of immunotherapies for NSCLC. Nature Publishing Group UK 2020-06-17 /pmc/articles/PMC7300007/ /pubmed/32555523 http://dx.doi.org/10.1038/s41598-020-66902-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Liebler, Daniel C.
Holzer, Timothy R.
Haragan, Alexander
Morrison, Ryan D.
O’Neill Reising, Leslie
Ackermann, Bradley L.
Fill, Jeff A.
Schade, Andrew E.
Gruver, Aaron M.
Analysis of Immune Checkpoint Drug Targets and Tumor Proteotypes in Non-Small Cell Lung Cancer
title Analysis of Immune Checkpoint Drug Targets and Tumor Proteotypes in Non-Small Cell Lung Cancer
title_full Analysis of Immune Checkpoint Drug Targets and Tumor Proteotypes in Non-Small Cell Lung Cancer
title_fullStr Analysis of Immune Checkpoint Drug Targets and Tumor Proteotypes in Non-Small Cell Lung Cancer
title_full_unstemmed Analysis of Immune Checkpoint Drug Targets and Tumor Proteotypes in Non-Small Cell Lung Cancer
title_short Analysis of Immune Checkpoint Drug Targets and Tumor Proteotypes in Non-Small Cell Lung Cancer
title_sort analysis of immune checkpoint drug targets and tumor proteotypes in non-small cell lung cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7300007/
https://www.ncbi.nlm.nih.gov/pubmed/32555523
http://dx.doi.org/10.1038/s41598-020-66902-0
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