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RETRACTED ARTICLE: Reprogramming glioblastoma multiforme cells into neurons by protein kinase inhibitors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RETRACTED ARTICLE: Reprogramming glioblastoma multiforme cells into neurons by protein kinase inhibitors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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Student > Bachelor 4 9%
Student > Master 4 9%
Researcher 3 7%
Student > Doctoral Student 3 7%
Other 5 11%
Unknown 13 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 25%
Medicine and Dentistry 8 18%
Neuroscience 4 9%
Agricultural and Biological Sciences 3 7%
Immunology and Microbiology 1 2%
Other 1 2%
Unknown 16 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 August 2018.
All research outputs
#11,827,559
of 13,331,643 outputs
Outputs from Journal of Experimental & Clinical Cancer Research
#677
of 917 outputs
Outputs of similar age
#232,472
of 268,830 outputs
Outputs of similar age from Journal of Experimental & Clinical Cancer Research
#1
of 1 outputs
Altmetric has tracked 13,331,643 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 917 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 1st percentile – i.e., 1% 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 268,830 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them