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The role of interleukin-2, all-trans retinoic acid, and natural killer cells: surveillance mechanisms in anti-GD2 antibody therapy in neuroblastoma

Overview of attention for article published in Cancer Immunology, Immunotherapy, January 2018
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37 Mendeley
Title
The role of interleukin-2, all-trans retinoic acid, and natural killer cells: surveillance mechanisms in anti-GD2 antibody therapy in neuroblastoma
Published in
Cancer Immunology, Immunotherapy, January 2018
DOI 10.1007/s00262-017-2108-6
Pubmed ID
Authors

Rosa Nguyen, Jim Houston, Wing K. Chan, David Finkelstein, Michael A. Dyer

Abstract

Although anti-disialoganglioside (GD2) antibodies are successfully used for neuroblastoma therapy, a third of patients with neuroblastoma experience treatment failure or serious toxicity. Various strategies have been employed in the clinic to improve antibody-dependent cell-mediated cytotoxicity (ADCC), such as the addition of interleukin (IL)-2 to enhance natural killer (NK) cell function, adoptive transfer of allogeneic NK cells to exploit immune surveillance, and retinoid-induced differentiation therapy. Nevertheless, these mechanisms are not fully understood. We developed a quantitative assay to test ADCC induced by the anti-GD2 antibody Hu14.18K322A in nine neuroblastoma cell lines and dissociated cells from orthotopic patient-derived xenografts (O-PDXs) in culture. IL-2 improved ADCC against neuroblastoma cells, and differentiation with all-trans retinoic acid stabilized GD2 expression on tumor cells and enhanced ADCC as well. Degranulation was highest in licensed NK cells that expressed CD158b (P < 0.001) and harbored a killer-cell immunoglobulin-like receptor (KIR) mismatch against the tumor-specific human leukocyte antigen (HLA; P = 0.016). In conclusion, IL-2 is an important component of immunotherapy because it can improve the cytolytic function of NK cells against neuroblastoma cells and could lower the antibody dose required for efficacy, thereby reducing toxicity. The effect of IL-2 may vary among individuals and a biomarker would be useful to predict ADCC following IL-2 activation. Sub-populations of NK cells may have different levels of activity dependent on their licensing status, KIR expression, and HLA-KIR interaction. Better understanding of HLA-KIR interactions and the molecular changes following retinoid-induced differentiation is necessary to delineate their role in ADCC.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 24%
Student > Bachelor 5 14%
Student > Ph. D. Student 4 11%
Researcher 2 5%
Librarian 2 5%
Other 5 14%
Unknown 10 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 19%
Medicine and Dentistry 5 14%
Agricultural and Biological Sciences 4 11%
Immunology and Microbiology 3 8%
Environmental Science 1 3%
Other 5 14%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 February 2018.
All research outputs
#14,963,216
of 23,016,919 outputs
Outputs from Cancer Immunology, Immunotherapy
#2,073
of 2,895 outputs
Outputs of similar age
#256,719
of 443,312 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#20
of 31 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,895 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 25th percentile – i.e., 25% 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 443,312 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.