| Title |
RETRACTED ARTICLE: Axl as a downstream effector of TGF-β1 via PI3K/Akt-PAK1 signaling pathway promotes tumor invasion and chemoresistance in breast carcinoma
|
|---|---|
| Published in |
Tumor Biology, October 2014
|
| DOI | 10.1007/s13277-014-2677-3 |
| Pubmed ID | |
| Authors |
Yanyan Li, Li Jia, Chen Liu, Yanxin Gong, Dongliang Ren, Ning Wang, Xu Zhang, Yongfu Zhao |
| Abstract |
The invasion and chemoresistance are crucial causes of morbidity and death for cancer patients. Axl is closely associated with malignant phenotype of breast tumor cells, including invasiveness and metastasis. Both breast cancer cell line and tissue displayed increased expression of Axl, especially in highly metastatic breast cancer. On the contrary, experimental inhibition of Axl or transforming growth factor beta 1 (TGF-β1) by RNAi assay could suppress cell invasion ability and chemoresistance. Moreover, the up-regulation of Axl was induced by TGF-β1, further activated phosphatidylinositol 3-kinase (PI3K)/Akt and PAK1 translocation, and resulted in greater cell motility, invasion, and chemoresistance in vitro and in vivo. After the detection and statistics in human breast cancer specimens, we found that the Axl expression was closely correlated with TGF-β1 level, tumor differentiation, lymph node metastasis, and clinical stage (p < 0.01). Our findings support the possibility that Axl is a significant regulator of invasion and chemosensitivity, and it means by targeting Axl or its related signaling pathways, we can reduce the invasion and chemosensitivity of breast tumor. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 29% |
| Researcher | 5 | 18% |
| Other | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 32% |
| Agricultural and Biological Sciences | 5 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 14% |
| Medicine and Dentistry | 4 | 14% |
| Mathematics | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 13 June 2019.
All research outputs
#3,974,806
of 22,768,097 outputs
Outputs from Tumor Biology
#111
of 2,622 outputs
Outputs of similar age
#46,039
of 259,774 outputs
Outputs of similar age from Tumor Biology
#5
of 142 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 95% of its peers.
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We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.