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Adoptive transfer of osteoclast-expanded natural killer cells for immunotherapy targeting cancer stem-like cells in humanized mice

Overview of attention for article published in Cancer Immunology, Immunotherapy, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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4 X users
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6 patents

Citations

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26 Dimensions

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62 Mendeley
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Title
Adoptive transfer of osteoclast-expanded natural killer cells for immunotherapy targeting cancer stem-like cells in humanized mice
Published in
Cancer Immunology, Immunotherapy, March 2016
DOI 10.1007/s00262-016-1822-9
Pubmed ID
Authors

Anna K. Kozlowska, Kawaljit Kaur, Paytsar Topchyan, Anahid Jewett

Abstract

Based on data obtained from oral, pancreatic and lung cancers, glioblastoma, and melanoma, we have established that natural killer (NK) cells target cancer stem-like cells (CSCs). CSCs displaying low MHC class I, CD54, and PD-L1 are killed by cytotoxic NK cells and are differentiated by split anergized NK cells through both membrane bound and secreted forms of TNF-α and IFN-γ. NK cells select and differentiate both healthy and transformed stem-like cells, resulting in target cell maturation and shaping of their microenvironment. In our recent studies, we have observed that oral, pancreatic, and melanoma CSCs were capable of forming large tumors in humanized bone marrow, liver, thymus (hu-BLT) mice with fully reconstituted human immune system. In addition, major human immune subsets including NK cells, T cells, B cells, and monocytes were present in the spleen, bone marrow, peripheral blood, and tumor microenvironment. Similar to our previously published in vitro data, CSCs differentiated with split anergized NK cells prior to implantation in mice formed smaller tumors. Intravenous injection of functionally potent osteoclast-expanded NK cells inhibited tumor growth through differentiation of CSCs in humanized mice. In this review, we present current approaches, advances, and existing limitations in studying interactions of the immune system with the tumor, in particular NK cells with CSCs, using in vivo preclinical hu-BLT mouse model. In addition, we discuss the use of osteoclast-expanded NK cells in targeting cancer stem-like tumors in humanized mice-a strategy that provides a much-needed platform to develop effective cancer immunotherapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Canada 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 19%
Student > Bachelor 8 13%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 3 5%
Professor 3 5%
Other 10 16%
Unknown 19 31%
Readers by discipline Count As %
Medicine and Dentistry 19 31%
Immunology and Microbiology 8 13%
Biochemistry, Genetics and Molecular Biology 5 8%
Agricultural and Biological Sciences 5 8%
Veterinary Science and Veterinary Medicine 1 2%
Other 3 5%
Unknown 21 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 30 January 2024.
All research outputs
#3,117,471
of 25,323,244 outputs
Outputs from Cancer Immunology, Immunotherapy
#209
of 2,975 outputs
Outputs of similar age
#47,477
of 307,779 outputs
Outputs of similar age from Cancer Immunology, Immunotherapy
#6
of 33 outputs
Altmetric has tracked 25,323,244 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,975 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 92% of its peers.
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 307,779 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 84% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.