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Galectin-3 captures interferon-gamma in the tumor matrix reducing chemokine gradient production and T-cell tumor infiltration

Overview of attention for article published in Nature Communications, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Galectin-3 captures interferon-gamma in the tumor matrix reducing chemokine gradient production and T-cell tumor infiltration
Published in
Nature Communications, October 2017
DOI 10.1038/s41467-017-00925-6
Pubmed ID
Authors

Monica Gordon-Alonso, Thibault Hirsch, Claude Wildmann, Pierre van der Bruggen

Abstract

The presence of T cells in tumors predicts overall survival for cancer patients. However, why most tumors are poorly infiltrated by T cells is barely understood. T-cell recruitment towards the tumor requires a chemokine gradient of the critical IFNγ-induced chemokines CXCL9/10/11. Here, we describe how tumors can abolish IFNγ-induced chemokines, thereby reducing T-cell attraction. This mechanism requires extracellular galectin-3, a lectin secreted by tumors. Galectins bind the glycans of glycoproteins and form lattices by oligomerization. We demonstrate that galectin-3 binds the glycans of the extracellular matrix and those decorating IFNγ. In mice bearing human tumors, galectin-3 reduces IFNγ diffusion through the tumor matrix. Galectin antagonists increase intratumoral IFNγ diffusion, CXCL9 gradient and tumor recruitment of adoptively transferred human CD8(+) T cells specific for a tumor antigen. Transfer of T cells reduces tumor growth only if galectin antagonists are injected. Considering that most human cytokines are glycosylated, galectin secretion could be a general strategy for tumor immune evasion.Most tumours are poorly infiltrated by T cells. Here the authors show that galectin-3 secreted by tumours binds both glycosylated IFNγ and glycoproteins of the tumour extracellular matrix, thus avoiding IFNγ diffusion and the formation of an IFNγ-induced chemokine gradient required for T cell infiltration.

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The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 141 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 18%
Researcher 23 16%
Student > Master 18 13%
Student > Bachelor 10 7%
Student > Doctoral Student 10 7%
Other 25 18%
Unknown 29 21%
Readers by discipline Count As %
Immunology and Microbiology 30 21%
Biochemistry, Genetics and Molecular Biology 29 21%
Agricultural and Biological Sciences 16 11%
Medicine and Dentistry 14 10%
Chemistry 6 4%
Other 12 9%
Unknown 34 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 2020.
All research outputs
#4,273,076
of 25,390,692 outputs
Outputs from Nature Communications
#35,994
of 56,637 outputs
Outputs of similar age
#69,650
of 328,655 outputs
Outputs of similar age from Nature Communications
#838
of 1,272 outputs
Altmetric has tracked 25,390,692 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 56,637 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.7. This one is in the 36th percentile – i.e., 36% 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 328,655 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 1,272 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.