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Large-Scale Plasma Proteome Epitome Profiling is an Efficient Tool for the Discovery of Cancer Biomarkers
Current proteomic technologies focus on the quantification of protein levels, while little effort is dedicated to the development of system approaches to simultaneously monitor proteome variability and abundance. Protein variants may display different immunogenic epitopes detectable by monoclonal an...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Biochemistry and Molecular Biology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319867/ https://www.ncbi.nlm.nih.gov/pubmed/37211046 http://dx.doi.org/10.1016/j.mcpro.2023.100580 |
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author | Lazar, Jozsef Antal-Szalmas, Peter Kurucz, Istvan Ferenczi, Annamaria Jozsi, Mihaly Tornyi, Ilona Muller, Monika Fekete, Janos Tibor Lamont, John FitzGerald, Peter Gall-Debreceni, Anna Kadas, Janos Vida, Andras Tardieu, Nadege Kieffer, Yann Jullien, Anne Guergova-Kuras, Mariana Hempel, William Kovacs, Andras Kardos, Tamas Bittner, Nora Csanky, Eszter Szilasi, Maria Losonczy, Gyorgy Szondy, Klara Galffy, Gabriella Csada, Edit Szalontai, Klara Somfay, Attila Malka, David Cottu, Paul Bogos, Krisztina Takacs, Laszlo |
author_facet | Lazar, Jozsef Antal-Szalmas, Peter Kurucz, Istvan Ferenczi, Annamaria Jozsi, Mihaly Tornyi, Ilona Muller, Monika Fekete, Janos Tibor Lamont, John FitzGerald, Peter Gall-Debreceni, Anna Kadas, Janos Vida, Andras Tardieu, Nadege Kieffer, Yann Jullien, Anne Guergova-Kuras, Mariana Hempel, William Kovacs, Andras Kardos, Tamas Bittner, Nora Csanky, Eszter Szilasi, Maria Losonczy, Gyorgy Szondy, Klara Galffy, Gabriella Csada, Edit Szalontai, Klara Somfay, Attila Malka, David Cottu, Paul Bogos, Krisztina Takacs, Laszlo |
author_sort | Lazar, Jozsef |
collection | PubMed |
description | Current proteomic technologies focus on the quantification of protein levels, while little effort is dedicated to the development of system approaches to simultaneously monitor proteome variability and abundance. Protein variants may display different immunogenic epitopes detectable by monoclonal antibodies. Epitope variability results from alternative splicing, posttranslational modifications, processing, degradation, and complex formation and possesses dynamically changing availability of interacting surface structures that frequently serve as reachable epitopes and often carry different functions. Thus, it is highly likely that the presence of some of the accessible epitopes correlates with function under physiological and pathological conditions. To enable the exploration of the impact of protein variation on the immunogenic epitome first, here, we present a robust and analytically validated PEP technology for characterizing immunogenic epitopes of the plasma. To this end, we prepared mAb libraries directed against the normalized human plasma proteome as a complex natural immunogen. Antibody producing hybridomas were selected and cloned. Monoclonal antibodies react with single epitopes, thus profiling with the libraries is expected to profile many epitopes which we define by the mimotopes, as we present here. Screening blood plasma samples from control subjects (n = 558) and cancer patients (n = 598) for merely 69 native epitopes displayed by 20 abundant plasma proteins resulted in distinct cancer-specific epitope panels that showed high accuracy (AUC 0.826–0.966) and specificity for lung, breast, and colon cancer. Deeper profiling (≈290 epitopes of approximately 100 proteins) showed unexpected granularity of the epitope-level expression data and detected neutral and lung cancer–associated epitopes of individual proteins. Biomarker epitope panels selected from a pool of 21 epitopes of 12 proteins were validated in independent clinical cohorts. The results demonstrate the value of PEP as a rich and thus far unexplored source of protein biomarkers with diagnostic potential. |
format | Online Article Text |
id | pubmed-10319867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-103198672023-07-06 Large-Scale Plasma Proteome Epitome Profiling is an Efficient Tool for the Discovery of Cancer Biomarkers Lazar, Jozsef Antal-Szalmas, Peter Kurucz, Istvan Ferenczi, Annamaria Jozsi, Mihaly Tornyi, Ilona Muller, Monika Fekete, Janos Tibor Lamont, John FitzGerald, Peter Gall-Debreceni, Anna Kadas, Janos Vida, Andras Tardieu, Nadege Kieffer, Yann Jullien, Anne Guergova-Kuras, Mariana Hempel, William Kovacs, Andras Kardos, Tamas Bittner, Nora Csanky, Eszter Szilasi, Maria Losonczy, Gyorgy Szondy, Klara Galffy, Gabriella Csada, Edit Szalontai, Klara Somfay, Attila Malka, David Cottu, Paul Bogos, Krisztina Takacs, Laszlo Mol Cell Proteomics Research Current proteomic technologies focus on the quantification of protein levels, while little effort is dedicated to the development of system approaches to simultaneously monitor proteome variability and abundance. Protein variants may display different immunogenic epitopes detectable by monoclonal antibodies. Epitope variability results from alternative splicing, posttranslational modifications, processing, degradation, and complex formation and possesses dynamically changing availability of interacting surface structures that frequently serve as reachable epitopes and often carry different functions. Thus, it is highly likely that the presence of some of the accessible epitopes correlates with function under physiological and pathological conditions. To enable the exploration of the impact of protein variation on the immunogenic epitome first, here, we present a robust and analytically validated PEP technology for characterizing immunogenic epitopes of the plasma. To this end, we prepared mAb libraries directed against the normalized human plasma proteome as a complex natural immunogen. Antibody producing hybridomas were selected and cloned. Monoclonal antibodies react with single epitopes, thus profiling with the libraries is expected to profile many epitopes which we define by the mimotopes, as we present here. Screening blood plasma samples from control subjects (n = 558) and cancer patients (n = 598) for merely 69 native epitopes displayed by 20 abundant plasma proteins resulted in distinct cancer-specific epitope panels that showed high accuracy (AUC 0.826–0.966) and specificity for lung, breast, and colon cancer. Deeper profiling (≈290 epitopes of approximately 100 proteins) showed unexpected granularity of the epitope-level expression data and detected neutral and lung cancer–associated epitopes of individual proteins. Biomarker epitope panels selected from a pool of 21 epitopes of 12 proteins were validated in independent clinical cohorts. The results demonstrate the value of PEP as a rich and thus far unexplored source of protein biomarkers with diagnostic potential. American Society for Biochemistry and Molecular Biology 2023-05-20 /pmc/articles/PMC10319867/ /pubmed/37211046 http://dx.doi.org/10.1016/j.mcpro.2023.100580 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Lazar, Jozsef Antal-Szalmas, Peter Kurucz, Istvan Ferenczi, Annamaria Jozsi, Mihaly Tornyi, Ilona Muller, Monika Fekete, Janos Tibor Lamont, John FitzGerald, Peter Gall-Debreceni, Anna Kadas, Janos Vida, Andras Tardieu, Nadege Kieffer, Yann Jullien, Anne Guergova-Kuras, Mariana Hempel, William Kovacs, Andras Kardos, Tamas Bittner, Nora Csanky, Eszter Szilasi, Maria Losonczy, Gyorgy Szondy, Klara Galffy, Gabriella Csada, Edit Szalontai, Klara Somfay, Attila Malka, David Cottu, Paul Bogos, Krisztina Takacs, Laszlo Large-Scale Plasma Proteome Epitome Profiling is an Efficient Tool for the Discovery of Cancer Biomarkers |
title | Large-Scale Plasma Proteome Epitome Profiling is an Efficient Tool for the Discovery of Cancer Biomarkers |
title_full | Large-Scale Plasma Proteome Epitome Profiling is an Efficient Tool for the Discovery of Cancer Biomarkers |
title_fullStr | Large-Scale Plasma Proteome Epitome Profiling is an Efficient Tool for the Discovery of Cancer Biomarkers |
title_full_unstemmed | Large-Scale Plasma Proteome Epitome Profiling is an Efficient Tool for the Discovery of Cancer Biomarkers |
title_short | Large-Scale Plasma Proteome Epitome Profiling is an Efficient Tool for the Discovery of Cancer Biomarkers |
title_sort | large-scale plasma proteome epitome profiling is an efficient tool for the discovery of cancer biomarkers |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319867/ https://www.ncbi.nlm.nih.gov/pubmed/37211046 http://dx.doi.org/10.1016/j.mcpro.2023.100580 |
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