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Evaluation of autoantibody signatures in meningioma patients using human proteome arrays

Meningiomas are one of the most common tumors of the Central nervous system (CNS). This study aims to identify the autoantibody biomarkers in meningiomas using high-density human proteome arrays (~17,000 full-length recombinant human proteins). Screening of sera from 15 unaffected healthy individual...

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Autores principales: Gupta, Shabarni, Mukherjee, Shuvolina, Syed, Parvez, Pandala, Narendra Goud, Choudhary, Saket, Singh, Vedita Anand, Singh, Namrata, Zhu, Heng, Epari, Sridhar, Noronha, Santosh B, Moiyadi, Aliasgar, Srivastava, Sanjeeva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601665/
https://www.ncbi.nlm.nih.gov/pubmed/28938569
http://dx.doi.org/10.18632/oncotarget.16997
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author Gupta, Shabarni
Mukherjee, Shuvolina
Syed, Parvez
Pandala, Narendra Goud
Choudhary, Saket
Singh, Vedita Anand
Singh, Namrata
Zhu, Heng
Epari, Sridhar
Noronha, Santosh B
Moiyadi, Aliasgar
Srivastava, Sanjeeva
author_facet Gupta, Shabarni
Mukherjee, Shuvolina
Syed, Parvez
Pandala, Narendra Goud
Choudhary, Saket
Singh, Vedita Anand
Singh, Namrata
Zhu, Heng
Epari, Sridhar
Noronha, Santosh B
Moiyadi, Aliasgar
Srivastava, Sanjeeva
author_sort Gupta, Shabarni
collection PubMed
description Meningiomas are one of the most common tumors of the Central nervous system (CNS). This study aims to identify the autoantibody biomarkers in meningiomas using high-density human proteome arrays (~17,000 full-length recombinant human proteins). Screening of sera from 15 unaffected healthy individuals, 10 individuals with meningioma grade I and 5 with meningioma grade II was performed. This comprehensive proteomics based investigation revealed the dysregulation of 489 and 104 proteins in grades I and II of meningioma, respectively, along with the enrichment of several signalling pathways, which might play a crucial role in the manifestation of the disease. Autoantibody targets like IGHG4, CRYM, EFCAB2, STAT6, HDAC7A and CCNB1 were significantly dysregulated across both the grades. Further, we compared this to the tissue proteome and gene expression profile from GEO database. Previously reported upregulated proteins from meningioma tissue-based proteomics obtained from high-resolution mass spectrometry demonstrated an aggravated autoimmune response, emphasizing the clinical relevance of these targets. Some of these targets like SELENBP1 were tested for their presence in tumor tissue using immunoblotting. In the light of highly invasive diagnostic modalities employed to diagnose CNS tumors like meningioma, these autoantibody markers offer a minimally invasive diagnostic platform which could be pursued further for clinical translation.
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spelling pubmed-56016652017-09-21 Evaluation of autoantibody signatures in meningioma patients using human proteome arrays Gupta, Shabarni Mukherjee, Shuvolina Syed, Parvez Pandala, Narendra Goud Choudhary, Saket Singh, Vedita Anand Singh, Namrata Zhu, Heng Epari, Sridhar Noronha, Santosh B Moiyadi, Aliasgar Srivastava, Sanjeeva Oncotarget Research Paper Meningiomas are one of the most common tumors of the Central nervous system (CNS). This study aims to identify the autoantibody biomarkers in meningiomas using high-density human proteome arrays (~17,000 full-length recombinant human proteins). Screening of sera from 15 unaffected healthy individuals, 10 individuals with meningioma grade I and 5 with meningioma grade II was performed. This comprehensive proteomics based investigation revealed the dysregulation of 489 and 104 proteins in grades I and II of meningioma, respectively, along with the enrichment of several signalling pathways, which might play a crucial role in the manifestation of the disease. Autoantibody targets like IGHG4, CRYM, EFCAB2, STAT6, HDAC7A and CCNB1 were significantly dysregulated across both the grades. Further, we compared this to the tissue proteome and gene expression profile from GEO database. Previously reported upregulated proteins from meningioma tissue-based proteomics obtained from high-resolution mass spectrometry demonstrated an aggravated autoimmune response, emphasizing the clinical relevance of these targets. Some of these targets like SELENBP1 were tested for their presence in tumor tissue using immunoblotting. In the light of highly invasive diagnostic modalities employed to diagnose CNS tumors like meningioma, these autoantibody markers offer a minimally invasive diagnostic platform which could be pursued further for clinical translation. Impact Journals LLC 2017-04-10 /pmc/articles/PMC5601665/ /pubmed/28938569 http://dx.doi.org/10.18632/oncotarget.16997 Text en Copyright: © 2017 Gupta et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Gupta, Shabarni
Mukherjee, Shuvolina
Syed, Parvez
Pandala, Narendra Goud
Choudhary, Saket
Singh, Vedita Anand
Singh, Namrata
Zhu, Heng
Epari, Sridhar
Noronha, Santosh B
Moiyadi, Aliasgar
Srivastava, Sanjeeva
Evaluation of autoantibody signatures in meningioma patients using human proteome arrays
title Evaluation of autoantibody signatures in meningioma patients using human proteome arrays
title_full Evaluation of autoantibody signatures in meningioma patients using human proteome arrays
title_fullStr Evaluation of autoantibody signatures in meningioma patients using human proteome arrays
title_full_unstemmed Evaluation of autoantibody signatures in meningioma patients using human proteome arrays
title_short Evaluation of autoantibody signatures in meningioma patients using human proteome arrays
title_sort evaluation of autoantibody signatures in meningioma patients using human proteome arrays
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601665/
https://www.ncbi.nlm.nih.gov/pubmed/28938569
http://dx.doi.org/10.18632/oncotarget.16997
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