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Mendeley readers
Attention Score in Context
| Title |
Murine Models of Splenic Marginal Zone Lymphoma: A Role for Cav1?
|
|---|---|
| Published in |
Frontiers in oncology, December 2016
|
| DOI | 10.3389/fonc.2016.00258 |
| Pubmed ID | |
| Authors |
Chelsey L. Patten, Christine E. Cutucache |
| Abstract |
Dozens of murine models of indolent and aggressive B-cell lymphomas have been generated to date. These include those manifesting chronic lymphocytic leukemia (CLL), diffuse large B-cell lymphoma (DLBCL), as well as xenografts of mantle cell lymphoma (MCL). These models have led to an improved understanding of disease etiology, B-cell biology, immunomodulation, and the importance of the tumor microenvironment. Despite these efforts in CLL, DLBCL, and MCL, considerably little progress toward a model of splenic marginal zone lymphoma (SMZL) has been accomplished. Herein, we describe the similarities and differences between CLL, MCL, and SMZL and highlight effective murine models that mimic disease in the two former, in hopes of informing a potential model of the latter. At the time of writing this review, the precise molecular events of SMZL remain to be determined and a treatment regimen remains to be identified. Therefore, based on the efforts put forth in the B-cell lymphoma field throughout the past three decades, the established role of caveolin-1 in B- and T-cell biology as an oncogene or tumor suppressor, and the recurrent deletion or loss of heterozygosity (LOH) of 7q in many cancers, we make recommendations for a murine model of SMZL. |
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 % |
|---|---|---|
| Switzerland | 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 17% |
| Student > Master | 2 | 17% |
| Student > Doctoral Student | 2 | 17% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Librarian | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 25% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Agricultural and Biological Sciences | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 25% |
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 14 December 2016.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Frontiers in oncology
#11,309
of 22,414 outputs
Outputs of similar age
#318,599
of 420,869 outputs
Outputs of similar age from Frontiers in oncology
#31
of 51 outputs
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