↓ Skip to main content

Original insights on thrombospondin-1-related antireceptor strategies in cancer

Overview of attention for article published in Frontiers in Pharmacology, October 2015
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
93 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Original insights on thrombospondin-1-related antireceptor strategies in cancer
Published in
Frontiers in Pharmacology, October 2015
DOI 10.3389/fphar.2015.00252
Pubmed ID
Authors

Albin Jeanne, Christophe Schneider, Laurent Martiny, Stéphane Dedieu

Abstract

Thrombospondin-1 (TSP-1) is a large matricellular glycoprotein known to be overexpressed within tumor stroma in several cancer types. While mainly considered as an endogenous angiogenesis inhibitor, TSP-1 exhibits multifaceted functionalities in a tumor context depending both on TSP-1 concentration as well as differential receptor expression by cancer cells and on tumor-associated stromal cells. Besides, the complex modular structure of TSP-1 along with the wide variety of its soluble ligands and membrane receptors considerably increases the complexity of therapeutically targeting interactions involving TSP-1 ligation of cell-surface receptors. Despite the pleiotropic nature of TSP-1, many different antireceptor strategies have been developed giving promising results in preclinical models. However, transition to clinical trials often led to nuanced outcomes mainly due to frequent severe adverse effects. In this review, we will first expose the intricate and even sometimes opposite effects of TSP-1-related signaling on tumor progression by paying particular attention to modulation of angiogenesis and tumor immunity. Then, we will provide an overview of current developments and prospects by focusing particularly on the cell-surface molecules CD47 and CD36 that function as TSP-1 receptors; including antibody-based approaches, therapeutic gene modulation and the use of peptidomimetics. Finally, we will discuss original approaches specifically targeting TSP-1 domains, as well as innovative combination strategies with a view to producing an overall anticancer response.

X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Netherlands 1 1%
Germany 1 1%
Unknown 90 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 19%
Student > Bachelor 10 11%
Student > Master 8 9%
Student > Ph. D. Student 7 8%
Student > Doctoral Student 6 6%
Other 15 16%
Unknown 29 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 22%
Medicine and Dentistry 14 15%
Agricultural and Biological Sciences 12 13%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Immunology and Microbiology 5 5%
Other 6 6%
Unknown 31 33%
Attention Score in Context

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 January 2016.
All research outputs
#18,429,829
of 22,831,537 outputs
Outputs from Frontiers in Pharmacology
#8,235
of 16,070 outputs
Outputs of similar age
#204,931
of 284,657 outputs
Outputs of similar age from Frontiers in Pharmacology
#56
of 96 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,070 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 37th percentile – i.e., 37% 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 284,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.