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Combined proteomics/miRNomics of dendritic cell immunotherapy-treated glioblastoma patients as a screening for survival-associated factors
Glioblastoma is the most prevalent and aggressive brain cancer. With a median overall survival of ~15–20 months under standard therapy, novel treatment approaches are desperately needed. A recent phase II clinical trial with a personalized immunotherapy based on tumor lysate-charged dendritic cell (...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6965118/ https://www.ncbi.nlm.nih.gov/pubmed/31969991 http://dx.doi.org/10.1038/s41541-019-0149-x |
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author | Erhart, Friedrich Hackl, Matthias Hahne, Hannes Buchroithner, Johanna Meng, Chen Klingenbrunner, Simone Reitermaier, René Fischhuber, Katrin Skalicky, Susanna Berger, Walter Spiegl-Kreinecker, Sabine Lötsch, Daniela Ricken, Gerda Kuster, Bernhard Wöhrer, Adelheid Widhalm, Georg Hainfellner, Johannes Felzmann, Thomas Dohnal, Alexander M. Marosi, Christine Visus, Carmen |
author_facet | Erhart, Friedrich Hackl, Matthias Hahne, Hannes Buchroithner, Johanna Meng, Chen Klingenbrunner, Simone Reitermaier, René Fischhuber, Katrin Skalicky, Susanna Berger, Walter Spiegl-Kreinecker, Sabine Lötsch, Daniela Ricken, Gerda Kuster, Bernhard Wöhrer, Adelheid Widhalm, Georg Hainfellner, Johannes Felzmann, Thomas Dohnal, Alexander M. Marosi, Christine Visus, Carmen |
author_sort | Erhart, Friedrich |
collection | PubMed |
description | Glioblastoma is the most prevalent and aggressive brain cancer. With a median overall survival of ~15–20 months under standard therapy, novel treatment approaches are desperately needed. A recent phase II clinical trial with a personalized immunotherapy based on tumor lysate-charged dendritic cell (DC) vaccination, however, failed to prolong survival. Here, we investigated tumor tissue from trial patients to explore glioblastoma survival-related factors. We followed an innovative approach of combining mass spectrometry-based quantitative proteomics (n = 36) with microRNA sequencing plus RT-qPCR (n = 38). Protein quantification identified, e.g., huntingtin interacting protein 1 (HIP1), retinol-binding protein 1 (RBP1), ferritin heavy chain (FTH1) and focal adhesion kinase 2 (FAK2) as factor candidates correlated with a dismal prognosis. MicroRNA analysis identified miR-216b, miR-216a, miR-708 and let-7i as molecules potentially associated with favorable tissue characteristics as they were enriched in patients with a comparably longer survival. To illustrate the utility of integrated miRNomics and proteomics findings, focal adhesion was studied further as one example for a pathway of potential general interest. Taken together, we here mapped possible drivers of glioblastoma outcome under immunotherapy in one of the largest DC vaccination tissue analysis cohorts so far—demonstrating usefulness and feasibility of combined proteomics/miRNomics approaches. Future research should investigate agents that sensitize glioblastoma to (immuno)therapy—potentially building on insights generated here. |
format | Online Article Text |
id | pubmed-6965118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69651182020-01-22 Combined proteomics/miRNomics of dendritic cell immunotherapy-treated glioblastoma patients as a screening for survival-associated factors Erhart, Friedrich Hackl, Matthias Hahne, Hannes Buchroithner, Johanna Meng, Chen Klingenbrunner, Simone Reitermaier, René Fischhuber, Katrin Skalicky, Susanna Berger, Walter Spiegl-Kreinecker, Sabine Lötsch, Daniela Ricken, Gerda Kuster, Bernhard Wöhrer, Adelheid Widhalm, Georg Hainfellner, Johannes Felzmann, Thomas Dohnal, Alexander M. Marosi, Christine Visus, Carmen NPJ Vaccines Article Glioblastoma is the most prevalent and aggressive brain cancer. With a median overall survival of ~15–20 months under standard therapy, novel treatment approaches are desperately needed. A recent phase II clinical trial with a personalized immunotherapy based on tumor lysate-charged dendritic cell (DC) vaccination, however, failed to prolong survival. Here, we investigated tumor tissue from trial patients to explore glioblastoma survival-related factors. We followed an innovative approach of combining mass spectrometry-based quantitative proteomics (n = 36) with microRNA sequencing plus RT-qPCR (n = 38). Protein quantification identified, e.g., huntingtin interacting protein 1 (HIP1), retinol-binding protein 1 (RBP1), ferritin heavy chain (FTH1) and focal adhesion kinase 2 (FAK2) as factor candidates correlated with a dismal prognosis. MicroRNA analysis identified miR-216b, miR-216a, miR-708 and let-7i as molecules potentially associated with favorable tissue characteristics as they were enriched in patients with a comparably longer survival. To illustrate the utility of integrated miRNomics and proteomics findings, focal adhesion was studied further as one example for a pathway of potential general interest. Taken together, we here mapped possible drivers of glioblastoma outcome under immunotherapy in one of the largest DC vaccination tissue analysis cohorts so far—demonstrating usefulness and feasibility of combined proteomics/miRNomics approaches. Future research should investigate agents that sensitize glioblastoma to (immuno)therapy—potentially building on insights generated here. Nature Publishing Group UK 2020-01-16 /pmc/articles/PMC6965118/ /pubmed/31969991 http://dx.doi.org/10.1038/s41541-019-0149-x Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Erhart, Friedrich Hackl, Matthias Hahne, Hannes Buchroithner, Johanna Meng, Chen Klingenbrunner, Simone Reitermaier, René Fischhuber, Katrin Skalicky, Susanna Berger, Walter Spiegl-Kreinecker, Sabine Lötsch, Daniela Ricken, Gerda Kuster, Bernhard Wöhrer, Adelheid Widhalm, Georg Hainfellner, Johannes Felzmann, Thomas Dohnal, Alexander M. Marosi, Christine Visus, Carmen Combined proteomics/miRNomics of dendritic cell immunotherapy-treated glioblastoma patients as a screening for survival-associated factors |
title | Combined proteomics/miRNomics of dendritic cell immunotherapy-treated glioblastoma patients as a screening for survival-associated factors |
title_full | Combined proteomics/miRNomics of dendritic cell immunotherapy-treated glioblastoma patients as a screening for survival-associated factors |
title_fullStr | Combined proteomics/miRNomics of dendritic cell immunotherapy-treated glioblastoma patients as a screening for survival-associated factors |
title_full_unstemmed | Combined proteomics/miRNomics of dendritic cell immunotherapy-treated glioblastoma patients as a screening for survival-associated factors |
title_short | Combined proteomics/miRNomics of dendritic cell immunotherapy-treated glioblastoma patients as a screening for survival-associated factors |
title_sort | combined proteomics/mirnomics of dendritic cell immunotherapy-treated glioblastoma patients as a screening for survival-associated factors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6965118/ https://www.ncbi.nlm.nih.gov/pubmed/31969991 http://dx.doi.org/10.1038/s41541-019-0149-x |
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