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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Biochemistry and Molecular Biology 2023
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.
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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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