↓ Skip to main content

Identification of T cell target antigens in glioblastoma stem-like cells using an integrated proteomics-based approach in patient specimens

Overview of attention for article published in Acta Neuropathologica, March 2017
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
5 X users
patent
1 patent

Readers on

mendeley
57 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Identification of T cell target antigens in glioblastoma stem-like cells using an integrated proteomics-based approach in patient specimens
Published in
Acta Neuropathologica, March 2017
DOI 10.1007/s00401-017-1702-1
Pubmed ID
Authors

Carmen Rapp, Rolf Warta, Slava Stamova, Ali Nowrouzi, Christoph Geisenberger, Zoltan Gal, Saskia Roesch, Steffen Dettling, Simone Juenger, Mariana Bucur, Christine Jungk, Philip DaoTrong, Rezvan Ahmadi, Felix Sahm, David Reuss, Valentina Fermi, Esther Herpel, Volker Eckstein, Niels Grabe, Christoph Schramm, Markus A. Weigand, Juergen Debus, Andreas von Deimling, Andreas Unterberg, Amir Abdollahi, Philipp Beckhove, Christel Herold-Mende

Abstract

Glioblastoma (GBM) is a highly aggressive brain tumor and still remains incurable. Among others, an immature subpopulation of self-renewing and therapy-resistant tumor cells-often referred to as glioblastoma stem-like cells (GSCs)-has been shown to contribute to disease recurrence. To target these cells personalized immunotherapy has gained a lot of interest, e.g. by reactivating pre-existing anti-tumor immune responses against GSC antigens. To identify T cell targets commonly presented by GSCs and their differentiated counterpart, we used a proteomics-based separation of GSC proteins in combination with a T cell activation assay. Altogether, 713 proteins were identified by LC-ESI-MS/MS mass spectrometry. After a thorough filtering process, 32 proteins were chosen for further analyses. Immunogenicity of corresponding peptides was tested ex vivo. A considerable number of these antigens induced T cell responses in GBM patients but not in healthy donors. Moreover, most of them were overexpressed in primary GBM and also highly expressed in recurrent GBM tissues. Interestingly, expression of the most frequent T cell target antigens could also be confirmed in quiescent, slow-cycling GSCs isolated in high purity by the DEPArray technology. Finally, for a subset of these T cell target antigens, an association between expression levels and higher T cell infiltration as well as an increased expression of positive immune modulators was observed. In summary, we identified novel immunogenic proteins, which frequently induce tumor-specific T cell responses in GBM patients and were also detected in vitro in therapy-resistant quiescent, slow-cycling GSCs. Stable expression of these T cell targets in primary and recurrent GBM support their suitability for future clinical use.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Ph. D. Student 9 16%
Student > Bachelor 5 9%
Student > Postgraduate 4 7%
Student > Master 4 7%
Other 10 18%
Unknown 15 26%
Readers by discipline Count As %
Medicine and Dentistry 10 18%
Biochemistry, Genetics and Molecular Biology 9 16%
Agricultural and Biological Sciences 9 16%
Chemistry 4 7%
Immunology and Microbiology 3 5%
Other 5 9%
Unknown 17 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 March 2020.
All research outputs
#6,119,347
of 23,577,654 outputs
Outputs from Acta Neuropathologica
#1,261
of 2,407 outputs
Outputs of similar age
#96,596
of 310,425 outputs
Outputs of similar age from Acta Neuropathologica
#30
of 34 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 310,425 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.