| Title |
RETRACTED ARTICLE: Risperidone promotes differentiation of glioma stem-like cells through the Wnt signaling pathway
|
|---|---|
| Published in |
Tumor Biology, January 2015
|
| DOI | 10.1007/s13277-015-3087-x |
| Pubmed ID | |
| Authors |
Hao Peng, Bing Jiang, Jiannong Zhao, Bing Chen, Pengcheng Wang |
| Abstract |
Risperidone is a commonly used antipsychotic drug in clinic. Previous studies have found that risperidone has a potential of enhancing differentiation of neural stem cells (NSCs). Malignant gliomas are associated with poor prognosis, largely due to the presence of glioma stem-like cells (GSLCs), which share many properties with adult NSCs. Hence, we aimed to investigate the effects of risperidone on the self-renewal and differentiation of GSLCs and the underlying mechanisms. Our data showed that risperidone inhibited self-renewal and induced differentiation of GSLCs into oligodendrocyte-like cells, which expressed typical markers for oligodendrocytes in vitro. Moreover, risperidone inhibited the GSLCs-initiated gliomagenesis in vivo. Risperidone treatment decreased activity of β-catenin, and increased intracellular Ca(2+) concentration, stromal interaction molecule 1 (STIM1), and calcium-sensing receptor (CaSR), suggesting the involvement of Wnt signaling. Taken together, our study suggests that risperidone may promote differentiation of glioma stem-like cells through the Wnt signaling pathway. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 33% |
| Lecturer | 1 | 33% |
| Student > Doctoral Student | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 1 | 33% |
| Agricultural and Biological Sciences | 1 | 33% |
| Engineering | 1 | 33% |
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 25 September 2017.
All research outputs
#17,741,776
of 22,783,848 outputs
Outputs from Tumor Biology
#1,219
of 2,622 outputs
Outputs of similar age
#241,756
of 352,275 outputs
Outputs of similar age from Tumor Biology
#72
of 171 outputs
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