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Atypical teratoid/rhabdoid tumoroids reveal subgroup-specific drug vulnerabilities

Overview of attention for article published in Oncogene, April 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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4 X users
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1 patent

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46 Mendeley
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Article details
Title
Atypical teratoid/rhabdoid tumoroids reveal subgroup-specific drug vulnerabilities
Published in
Oncogene, April 2023
DOI 10.1038/s41388-023-02681-y
Pubmed ID
Authors
Abstract

Atypical teratoid/rhabdoid tumors (ATRTs) represent a rare, but aggressive pediatric brain tumor entity. They are genetically defined by alterations in the SWI/SNF chromatin remodeling complex members SMARCB1 or SMARCA4. ATRTs can be further classified in different molecular subgroups based on their epigenetic profiles. Although recent studies suggest that the different subgroups have distinct clinical features, subgroup-specific treatment regimens have not been developed thus far. This is hampered by the lack of pre-clinical in vitro models representative of the different molecular subgroups. Here, we describe the establishment of ATRT tumoroid models from the ATRT-MYC and ATRT-SHH subgroups. We demonstrate that ATRT tumoroids retain subgroup-specific epigenetic and gene expression profiles. High throughput drug screens on our ATRT tumoroids revealed distinct drug sensitivities between and within ATRT-MYC and ATRT-SHH subgroups. Whereas ATRT-MYC universally displayed high sensitivity to multi-targeted tyrosine kinase inhibitors, ATRT-SHH showed a more heterogeneous response with a subset showing high sensitivity to NOTCH inhibitors, which corresponded to high expression of NOTCH receptors. Our ATRT tumoroids represent the first pediatric brain tumor organoid model, providing a representative pre-clinical model which enables the development of subgroup-specific therapies.

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

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 4 9%
Student > Ph. D. Student 4 9%
Student > Master 2 4%
Researcher 2 4%
Professor > Associate Professor 2 4%
Other 2 4%
Unknown 30 65%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 20%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Medicine and Dentistry 2 4%
Business, Management and Accounting 1 2%
Linguistics 1 2%
Other 0 0%
Unknown 31 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 26 March 2026.
All research outputs
#6,699,295
of 32,539,387 outputs
Outputs from Oncogene
#3,519
of 13,706 outputs
Outputs of similar age
#101,238
of 438,584 outputs
Outputs of similar age from Oncogene
#12
of 71 outputs
Altmetric has tracked 32,539,387 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,706 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 74% 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 438,584 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 76% of its contemporaries.
We're also able to compare this research output to 71 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.