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Analysis of immunobiologic markers in primary and recurrent glioblastoma

Overview of attention for article published in Journal of Neuro-Oncology, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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12 X users
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1 Facebook page

Citations

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67 Mendeley
Title
Analysis of immunobiologic markers in primary and recurrent glioblastoma
Published in
Journal of Neuro-Oncology, January 2018
DOI 10.1007/s11060-017-2732-1
Pubmed ID
Authors

Maryam Rahman, Jesse Kresak, Changlin Yang, Jianping Huang, Wesley Hiser, Paul Kubilis, Duane Mitchell

Abstract

Glioblastoma (GBM) generates a varied immune response and understanding the immune microenvironment may lead to novel immunotherapy treatments modalities. The goal of this study was to evaluate the expression of immunologic markers of potential clinical significance in primary versus recurrent GBM and assess the relationship between these markers and molecular characteristics of GBM. Human GBM samples were evaluated and analyzed with immunohistochemistry for multiple immunobiologic markers (CD3, CD8, FoxP3, CD68, CD163, PD1, PDL1, CTLA4, CD70). Immunoreactivity was analyzed using Aperio software. Degree of strong positive immunoreactivity within the tumor was compared to patient and tumor characteristics including age, gender, MGMT promoter methylation status, and ATRX, p53, and IDH1 mutation status. Additionally, the TCGA database was used to perform similar analysis of these factors in GBM using RNA-seq by expectation-maximization. Using odds ratios, IDH1 mutated GBM had statistically significant decreased expression of CD163 and CD70 and a trend for decreased PD1, CTLA4, and Foxp3. ATRX-mutated GBMs exhibited statistically significant increased CD3 immunoreactivity, while those with p53 mutations were found to have significantly increased CTLA4 immunoreactivity. The odds of having strong CD8 and CD68 reactivity was significantly less in MGMT methylated tumors. No significant difference was identified in any immune marker between the primary and recurrent GBM, nor was a significant change in immunoreactivity identified among age intervals. TCGA analysis corroborated findings related to the differential immune profile of IDH1 mutant, p53 mutant, and MGMT unmethylated tumors. Immunobiologic markers have greater association with the molecular characteristics of the tumor than with primary/recurrent status or age.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Researcher 7 10%
Student > Doctoral Student 6 9%
Student > Bachelor 6 9%
Student > Master 5 7%
Other 9 13%
Unknown 19 28%
Readers by discipline Count As %
Medicine and Dentistry 22 33%
Biochemistry, Genetics and Molecular Biology 8 12%
Immunology and Microbiology 6 9%
Neuroscience 4 6%
Psychology 1 1%
Other 3 4%
Unknown 23 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 30 March 2018.
All research outputs
#4,644,795
of 25,589,756 outputs
Outputs from Journal of Neuro-Oncology
#433
of 3,271 outputs
Outputs of similar age
#92,487
of 451,771 outputs
Outputs of similar age from Journal of Neuro-Oncology
#18
of 119 outputs
Altmetric has tracked 25,589,756 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,271 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 86% of its peers.
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 451,771 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.