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Transcriptional changes induced by bevacizumab combination therapy in responding and non-responding recurrent glioblastoma patients

Overview of attention for article published in BMC Cancer, April 2017
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
Transcriptional changes induced by bevacizumab combination therapy in responding and non-responding recurrent glioblastoma patients
Published in
BMC Cancer, April 2017
DOI 10.1186/s12885-017-3251-3
Pubmed ID
Authors

Thomas Urup, Line Mærsk Staunstrup, Signe Regner Michaelsen, Kristoffer Vitting-Seerup, Marc Bennedbæk, Anders Toft, Lars Rønn Olsen, Lars Jønson, Shohreh Issazadeh-Navikas, Helle Broholm, Petra Hamerlik, Hans Skovgaard Poulsen, Ulrik Lassen

Abstract

Bevacizumab combined with chemotherapy produces clinical durable response in 25-30% of recurrent glioblastoma patients. This group of patients has shown improved survival and quality of life. The aim of this study was to investigate changes in gene expression associated with response and resistance to bevacizumab combination therapy. Recurrent glioblastoma patients who had biomarker-accessible tumor tissue surgically removed both before bevacizumab treatment and at time of progression were included. Patients were grouped into responders (n = 7) and non-responders (n = 14). Gene expression profiling of formalin-fixed paraffin-embedded tumor tissue was performed using RNA-sequencing. By comparing pretreatment samples of responders with those of non-responders no significant difference was observed. In a paired comparison analysis of pre- and posttreatment samples of non-responders 1 gene was significantly differentially expressed. In responders, this approach revealed 256 significantly differentially expressed genes (72 down- and 184 up-regulated genes at the time of progression). Genes differentially expressed in responders revealed a shift towards a more proneural and less mesenchymal phenotype at the time of progression. Bevacizumab combination treatment demonstrated a significant impact on the transcriptional changes in responders; but only minimal changes in non-responders. This suggests that non-responding glioblastomas progress chaotically without following distinct gene expression changes while responding tumors adaptively respond or progress by means of the same transcriptional changes. In conclusion, we hypothesize that the identified gene expression changes of responding tumors are associated to bevacizumab response or resistance mechanisms.

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The data shown below were collected from the profiles of 3 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 %
United Kingdom 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Master 8 14%
Student > Ph. D. Student 7 12%
Other 5 9%
Student > Bachelor 5 9%
Other 8 14%
Unknown 15 26%
Readers by discipline Count As %
Medicine and Dentistry 18 32%
Biochemistry, Genetics and Molecular Biology 8 14%
Agricultural and Biological Sciences 4 7%
Neuroscience 3 5%
Nursing and Health Professions 2 4%
Other 5 9%
Unknown 17 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 June 2022.
All research outputs
#12,905,782
of 22,769,322 outputs
Outputs from BMC Cancer
#2,715
of 8,280 outputs
Outputs of similar age
#148,069
of 309,629 outputs
Outputs of similar age from BMC Cancer
#39
of 134 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,280 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 66% 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 309,629 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 51% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.