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Patient-Derived iPSCs Faithfully Represent the Genetic Diversity and Cellular Architecture of Human Acute Myeloid Leukemia

Overview of attention for article published in Blood Cancer Discovery, April 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 223)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
11 news outlets
blogs
1 blog
twitter
56 X users

Citations

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8 Dimensions

Readers on

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25 Mendeley
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Title
Patient-Derived iPSCs Faithfully Represent the Genetic Diversity and Cellular Architecture of Human Acute Myeloid Leukemia
Published in
Blood Cancer Discovery, April 2023
DOI 10.1158/2643-3230.bcd-22-0167
Pubmed ID
Authors

Andriana G. Kotini, Saul Carcamo, Nataly Cruz-Rodriguez, Malgorzata Olszewska, Tiansu Wang, Deniz Demircioglu, Chan-Jung Chang, Elsa Bernard, Mark P. Chao, Ravindra Majeti, Hanzhi Luo, Michael G. Kharas, Dan Hasson, Eirini P. Papapetrou

Abstract

The reprogramming of human acute myeloid leukemia (AML) cells into induced pluripotent stem cell (iPSC) lines could provide new faithful genetic models of AML, but is currently hindered by low success rates and uncertainty about whether iPSC-derived cells resemble their primary counterparts. Here we developed a reprogramming method tailored to cancer cells, with which we generated iPSCs from 15 patients representing all major genetic groups of AML. These AML-iPSCs retain genetic fidelity and produce transplantable hematopoietic cells with hallmark phenotypic leukemic features. Critically, single-cell transcriptomics reveal that, upon xenotransplantation, iPSC-derived leukemias faithfully mimic the primary patient-matched xenografts. Transplantation of iPSC-derived leukemias capturing a clone and subclone from the same patient allowed us to isolate the contribution of a FLT3-ITD mutation to the AML phenotype. The results and resources reported here can transform basic and preclinical cancer research of AML and other human cancers. We report the generation of patient-derived iPSC models of all major genetic groups of human AML. These exhibit phenotypic hallmarks of AML in vitro and in vivo, inform the clonal hierarchy and clonal dynamics of human AML, and exhibit striking similarity to patient-matched primary leukemias upon xenotransplantation. See related commentary by Doulatov.

X Demographics

X Demographics

The data shown below were collected from the profiles of 56 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Other 2 8%
Student > Doctoral Student 2 8%
Student > Postgraduate 2 8%
Researcher 2 8%
Other 1 4%
Unknown 11 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 36%
Medicine and Dentistry 3 12%
Agricultural and Biological Sciences 1 4%
Unknown 12 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 112. 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 14 August 2024.
All research outputs
#399,703
of 26,510,312 outputs
Outputs from Blood Cancer Discovery
#9
of 223 outputs
Outputs of similar age
#9,206
of 424,576 outputs
Outputs of similar age from Blood Cancer Discovery
#2
of 12 outputs
Altmetric has tracked 26,510,312 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 223 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has done particularly well, scoring higher than 95% 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 424,576 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.