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Integration and Comparison of Transcriptomic and Proteomic Data for Meningioma
SIMPLE SUMMARY: Meningioma are the most common primary intracranial tumour, yet gaps in their molecular characterisation persist and effective treatments for aggressive, recurring, high-grade (WHO grade III) meningioma are lacking. The aim of our study was to outline differences in the molecular lan...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694371/ https://www.ncbi.nlm.nih.gov/pubmed/33167358 http://dx.doi.org/10.3390/cancers12113270 |
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author | Dunn, Jemma Lenis, Vasileios P. Hilton, David A. Warta, Rolf Herold-Mende, Christel Hanemann, C. Oliver Futschik, Matthias E. |
author_facet | Dunn, Jemma Lenis, Vasileios P. Hilton, David A. Warta, Rolf Herold-Mende, Christel Hanemann, C. Oliver Futschik, Matthias E. |
author_sort | Dunn, Jemma |
collection | PubMed |
description | SIMPLE SUMMARY: Meningioma are the most common primary intracranial tumour, yet gaps in their molecular characterisation persist and effective treatments for aggressive, recurring, high-grade (WHO grade III) meningioma are lacking. The aim of our study was to outline differences in the molecular landscape between high-grade and low-grade (WHO grade I) meningioma by combining transcriptomic and proteomic data from two former independent studies. We described both concordant and discordant differential expression between grades and validated expression at either the transcript or protein level for genes including MAOB, CST3, LAMP2, PACS1 and HTRA1. Concordantly upregulated transcripts/proteins of high-grade tumours were enriched in biological processes such as oxidative phosphorylation and RNA metabolism. Using an integrated omics approach we have provided a previously unreported, valuable insight into the altered transcript/protein expression profiles between high and low-grade meningioma. In addition, our findings identified molecules that may hold potential as biomarkers or therapeutic targets of high-grade meningioma. ABSTRACT: Meningioma are the most frequent primary intracranial tumour. Management of aggressive meningioma is complex, and development of effective biomarkers or pharmacological interventions is hampered by an incomplete knowledge of molecular landscape. Here, we present an integrated analysis of two complementary omics studies to investigate alterations in the “transcriptome–proteome” profile of high-grade (III) compared to low-grade (I) meningiomas. We identified 3598 common transcripts/proteins and revealed concordant up- and downregulation in grade III vs. grade I meningiomas. Concordantly upregulated genes included FABP7, a fatty acid binding protein and the monoamine oxidase MAOB, the latter of which we validated at the protein level and established an association with Food and Drug Administration (FDA)-approved drugs. Notably, we derived a plasma signature of 21 discordantly expressed genes showing positive changes in protein but negative in transcript levels of high-grade meningiomas, including the validated genes CST3, LAMP2, PACS1 and HTRA1, suggesting the acquisition of these proteins by tumour from plasma. Aggressive meningiomas were enriched in processes such as oxidative phosphorylation and RNA metabolism, whilst concordantly downregulated genes were related to reduced cellular adhesion. Overall, our study provides the first transcriptome–proteome characterisation of meningioma, identifying several novel and previously described transcripts/proteins with potential grade III biomarker and therapeutic significance. |
format | Online Article Text |
id | pubmed-7694371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76943712020-11-28 Integration and Comparison of Transcriptomic and Proteomic Data for Meningioma Dunn, Jemma Lenis, Vasileios P. Hilton, David A. Warta, Rolf Herold-Mende, Christel Hanemann, C. Oliver Futschik, Matthias E. Cancers (Basel) Article SIMPLE SUMMARY: Meningioma are the most common primary intracranial tumour, yet gaps in their molecular characterisation persist and effective treatments for aggressive, recurring, high-grade (WHO grade III) meningioma are lacking. The aim of our study was to outline differences in the molecular landscape between high-grade and low-grade (WHO grade I) meningioma by combining transcriptomic and proteomic data from two former independent studies. We described both concordant and discordant differential expression between grades and validated expression at either the transcript or protein level for genes including MAOB, CST3, LAMP2, PACS1 and HTRA1. Concordantly upregulated transcripts/proteins of high-grade tumours were enriched in biological processes such as oxidative phosphorylation and RNA metabolism. Using an integrated omics approach we have provided a previously unreported, valuable insight into the altered transcript/protein expression profiles between high and low-grade meningioma. In addition, our findings identified molecules that may hold potential as biomarkers or therapeutic targets of high-grade meningioma. ABSTRACT: Meningioma are the most frequent primary intracranial tumour. Management of aggressive meningioma is complex, and development of effective biomarkers or pharmacological interventions is hampered by an incomplete knowledge of molecular landscape. Here, we present an integrated analysis of two complementary omics studies to investigate alterations in the “transcriptome–proteome” profile of high-grade (III) compared to low-grade (I) meningiomas. We identified 3598 common transcripts/proteins and revealed concordant up- and downregulation in grade III vs. grade I meningiomas. Concordantly upregulated genes included FABP7, a fatty acid binding protein and the monoamine oxidase MAOB, the latter of which we validated at the protein level and established an association with Food and Drug Administration (FDA)-approved drugs. Notably, we derived a plasma signature of 21 discordantly expressed genes showing positive changes in protein but negative in transcript levels of high-grade meningiomas, including the validated genes CST3, LAMP2, PACS1 and HTRA1, suggesting the acquisition of these proteins by tumour from plasma. Aggressive meningiomas were enriched in processes such as oxidative phosphorylation and RNA metabolism, whilst concordantly downregulated genes were related to reduced cellular adhesion. Overall, our study provides the first transcriptome–proteome characterisation of meningioma, identifying several novel and previously described transcripts/proteins with potential grade III biomarker and therapeutic significance. MDPI 2020-11-05 /pmc/articles/PMC7694371/ /pubmed/33167358 http://dx.doi.org/10.3390/cancers12113270 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dunn, Jemma Lenis, Vasileios P. Hilton, David A. Warta, Rolf Herold-Mende, Christel Hanemann, C. Oliver Futschik, Matthias E. Integration and Comparison of Transcriptomic and Proteomic Data for Meningioma |
title | Integration and Comparison of Transcriptomic and Proteomic Data for Meningioma |
title_full | Integration and Comparison of Transcriptomic and Proteomic Data for Meningioma |
title_fullStr | Integration and Comparison of Transcriptomic and Proteomic Data for Meningioma |
title_full_unstemmed | Integration and Comparison of Transcriptomic and Proteomic Data for Meningioma |
title_short | Integration and Comparison of Transcriptomic and Proteomic Data for Meningioma |
title_sort | integration and comparison of transcriptomic and proteomic data for meningioma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694371/ https://www.ncbi.nlm.nih.gov/pubmed/33167358 http://dx.doi.org/10.3390/cancers12113270 |
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