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An improved pre-clinical patient-derived liquid xenograft mouse model for acute myeloid leukemia

Overview of attention for article published in Journal of Hematology & Oncology, October 2017
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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4 X users
wikipedia
2 Wikipedia pages

Citations

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18 Dimensions

Readers on

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48 Mendeley
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Title
An improved pre-clinical patient-derived liquid xenograft mouse model for acute myeloid leukemia
Published in
Journal of Hematology & Oncology, October 2017
DOI 10.1186/s13045-017-0532-x
Pubmed ID
Authors

Zhisheng Her, Kylie Su Mei Yong, Kathirvel Paramasivam, Wilson Wei Sheng Tan, Xue Ying Chan, Sue Yee Tan, Min Liu, Yong Fan, Yeh Ching Linn, Kam Man Hui, Uttam Surana, Qingfeng Chen

Abstract

Xenotransplantation of patient-derived AML (acute myeloid leukemia) cells in NOD-scid Il2rγ (null) (NSG) mice is the method of choice for evaluating this human hematologic malignancy. However, existing models constructed using intravenous injection in adult or newborn NSG mice have inferior engraftment efficiency, poor peripheral blood engraftment, or are difficult to construct. Here, we describe an improved AML xenograft model where primary human AML cells were injected into NSG newborn pups intrahepatically. Introduction of primary cells from AML patients resulted in high levels of engraftment in peripheral blood, spleen, and bone marrow (BM) of recipient mice. The phenotype of engrafted AML cells remained unaltered during serial transplantation. The mice developed features that are consistent with human AML including spleen enlargement and infiltration of AML cells into multiple organs. Importantly, we demonstrated that although leukemic stem cell activity is enriched and mediated by CD34(+)CD117(+) subpopulation, CD34(+)CD117(-) subpopulation can acquire CD34(+)CD117(+) phenotype through de-differentiation. Lastly, we evaluated the therapeutic potential of Sorafenib and Regorafenib in this AML model and found that periphery and spleen AML cells are sensitive to these treatments, whereas BM provides a protective environment to AML. Collectively, our improved model is robust, easy-to-construct, and reliable for pre-clinical AML studies.

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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 19%
Student > Ph. D. Student 8 17%
Student > Bachelor 6 13%
Other 5 10%
Researcher 5 10%
Other 6 13%
Unknown 9 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 31%
Medicine and Dentistry 7 15%
Agricultural and Biological Sciences 6 13%
Nursing and Health Professions 2 4%
Immunology and Microbiology 2 4%
Other 6 13%
Unknown 10 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 29 November 2022.
All research outputs
#6,407,013
of 24,900,093 outputs
Outputs from Journal of Hematology & Oncology
#477
of 1,272 outputs
Outputs of similar age
#95,093
of 329,001 outputs
Outputs of similar age from Journal of Hematology & Oncology
#7
of 16 outputs
Altmetric has tracked 24,900,093 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,272 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 62% 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 329,001 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.