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Oncotarget

The critical role that STAT3 plays in glioma-initiating cells: STAT3 addiction in glioma

Overview of attention for article published in Oncotarget, April 2018
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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2 X users
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1 YouTube creator

Citations

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45 Mendeley
Title
The critical role that STAT3 plays in glioma-initiating cells: STAT3 addiction in glioma
Published in
Oncotarget, April 2018
DOI 10.18632/oncotarget.25188
Pubmed ID
Authors

Debolina Ganguly, Meiyun Fan, Chuan He Yang, Blazej Zbytek, David Finkelstein, Martine F. Roussel, Lawrence M. Pfeffer

Abstract

Glioma-Initiating Cells (GICs) are thought to be responsible for tumor initiation, progression and recurrence in glioblastoma (GBM). In previous studies, we reported the constitutive phosphorylation of the STAT3 transcription factor in GICs derived from GBM patient-derived xenografts, and that STAT3 played a critical role in GBM tumorigenesis. In this study, we show that CRISPR/Cas9-mediated deletion of STAT3 in an established GBM cell line markedly inhibited tumorigenesis by intracranial injection but had little effect on cell proliferation in vitro. Tumorigenesis was rescued by the enforced expression of wild-type STAT3 in cells lacking STAT3. In contrast, GICs were highly addicted to STAT3 and upon STAT3 deletion GICs were non-viable. Moreover, we found that STAT3 was constitutively activated in GICs by phosphorylation on both tyrosine (Y705) and serine (S727) residues. Therefore, to study STAT3 function in GICs we established an inducible system to knockdown STAT3 expression (iSTAT3-KD). Using this approach, we demonstrated that Y705-STAT3 phosphorylation was critical and indispensable for GIC-induced tumor formation. Both phosphorylation sites in STAT3 promoted GIC proliferation in vitro. We further showed that S727-STAT3 phosphorylation was Y705-dependent. Targeted microarray and RNA sequencing revealed that STAT3 activated cell-cycle regulator genes, and downregulated genes involved in the interferon response, the hypoxia response, the TGFβ pathway, and remodeling of the extracellular matrix. Since STAT3 is an important oncogenic driver of GBM, the identification of these STAT3 regulated pathways in GICs will inform the development of better targeted therapies against STAT3 in GBM and other cancers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Ph. D. Student 10 22%
Student > Bachelor 8 18%
Student > Master 2 4%
Unspecified 1 2%
Other 0 0%
Unknown 14 31%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Biochemistry, Genetics and Molecular Biology 10 22%
Immunology and Microbiology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Unspecified 1 2%
Other 4 9%
Unknown 17 38%
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 11 January 2021.
All research outputs
#13,364,897
of 23,058,939 outputs
Outputs from Oncotarget
#5,014
of 14,352 outputs
Outputs of similar age
#163,907
of 326,488 outputs
Outputs of similar age from Oncotarget
#141
of 407 outputs
Altmetric has tracked 23,058,939 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,352 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 64% 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 326,488 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 407 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 63% of its contemporaries.