| Title |
Dishevelled proteins are significantly upregulated in chronic lymphocytic leukaemia
|
|---|---|
| Published in |
Tumor Biology, April 2016
|
| DOI | 10.1007/s13277-016-5039-5 |
| Pubmed ID | |
| Authors |
Abdul Salam Khan, Mohammad Hojjat-Farsangi, Amir Hossein Daneshmanesh, Lotta Hansson, Parviz Kokhaei, Anders Österborg, Håkan Mellstedt, Ali Moshfegh |
| Abstract |
Dishevelled (DVL) proteins are components of the Wnt signalling pathways, and increased expression is associated with various malignancies. Information on DVLs in chronic lymphatic leukaemia (CLL) is limited. The aim of the present study was to investigate the role of DVLs in CLL cells and association with Wnt pathways downstream of ROR1. DVL1, 2 and 3 were exclusively expressed in CLL cells as compared to normal peripheral blood mononuclear cells (PBMCs). The expression of DVL1 and DVL3 proteins was significantly more pronounced in progressive than in non-progressive disease (p < 0.01), whereas the level of DVL2 was significantly higher in non-progressive as compared to progressive disease (p < 0.001). Treatment of CLL cells with anti-ROR1 specific monoclonal antibodies induced dephosphorylation of ROR1 as well as of tyrosine and serine residues of both DVL2 and DVL3. However, gene silencing of DVLs in the CLL cell line (EHEB) did not induce detectable apoptosis. Non-progressive CLL patients had a different protein activity pattern with regard to Wnt signalling pathway proteins as GSK-3β, β-catenin and AKT as compared to progressive disease. The DVL2 protein may play a role in the activation of signalling pathways in CLL during early stages of the disease, while DVL1 and 3 may have a role in later phases of the leukaemia. |
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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 20% |
| Researcher | 5 | 14% |
| Student > Bachelor | 3 | 9% |
| Other | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 14 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 34% |
| Agricultural and Biological Sciences | 6 | 17% |
| Medicine and Dentistry | 3 | 9% |
| Computer Science | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 34% |
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 18 April 2016.
All research outputs
#20,983,210
of 23,613,071 outputs
Outputs from Tumor Biology
#1,851
of 2,614 outputs
Outputs of similar age
#230,231
of 271,027 outputs
Outputs of similar age from Tumor Biology
#38
of 49 outputs
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