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RETRACTED ARTICLE: Reprogramming glioblastoma multiforme cells into neurons by protein kinase inhibitors

Overview of attention for article published in Journal of Experimental & Clinical Cancer Research, August 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 X user
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1 patent

Citations

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11 Dimensions

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47 Mendeley
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Title
RETRACTED ARTICLE: Reprogramming glioblastoma multiforme cells into neurons by protein kinase inhibitors
Published in
Journal of Experimental & Clinical Cancer Research, August 2018
DOI 10.1186/s13046-018-0857-5
Pubmed ID
Authors

Jie Yuan, Fan Zhang, Dennis Hallahan, Zhen Zhang, Liming He, Ling-Gang Wu, Meng You, Qin Yang

Abstract

Reprogramming of cancers into normal-like tissues is an innovative strategy for cancer treatment. Recent reports demonstrate that defined factors can reprogram cancer cells into pluripotent stem cells. Glioblastoma multiforme (GBM) is the most common and aggressive malignant brain tumor in humans. Despite multimodal therapy, the outcome for patients with GBM is still poor. Therefore, developing novel therapeutic strategy is a critical requirement. We have developed a novel reprogramming method that uses a conceptually unique strategy for GBM treatment. We screened a kinase inhibitor library to find which candidate inhibitors under reprogramming condition can reprogram GBM cells into neurons. The induced neurons are identified whether functional and loss of tumorigenicity. We have found that mTOR and ROCK kinase inhibitors are sufficient to reprogram GBM cells into neural-like cells and "normal" neurons. The induced neurons expressed neuron-specific proteins, generated action potentials and neurotransmitter receptor-mediated currents. Genome-wide transcriptional analysis showed that the induced neurons had a profile different from GBM cells and were similar to that of control neurons induced by established methods. In vitro and in vivo tumorigenesis assays showed that induced neurons lost their proliferation ability and tumorigenicity. Moreover, reprogramming treatment with ROCK-mTOR inhibitors prevented GBM local recurrence in mice. This study indicates that ROCK and mTOR inhibitors-based reprogramming treatment prevents GBM local recurrence. Currently ROCK-mTOR inhibitors are used as anti-tumor drugs in patients, so this reprogramming strategy has significant potential to move rapidly toward clinical trials.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Student > Bachelor 4 9%
Researcher 4 9%
Student > Master 4 9%
Student > Doctoral Student 3 6%
Other 6 13%
Unknown 15 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 26%
Medicine and Dentistry 8 17%
Neuroscience 3 6%
Agricultural and Biological Sciences 3 6%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 18 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 December 2023.
All research outputs
#7,359,319
of 25,385,509 outputs
Outputs from Journal of Experimental & Clinical Cancer Research
#443
of 2,382 outputs
Outputs of similar age
#118,993
of 341,958 outputs
Outputs of similar age from Journal of Experimental & Clinical Cancer Research
#12
of 81 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,382 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 80% 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 341,958 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 64% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.