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Dependence on glutamine uptake and glutamine addiction characterize myeloma cells: a new attractive target

Overview of attention for article published in Blood, June 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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
13 X users
patent
3 patents

Citations

dimensions_citation
131 Dimensions

Readers on

mendeley
119 Mendeley
citeulike
1 CiteULike
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Title
Dependence on glutamine uptake and glutamine addiction characterize myeloma cells: a new attractive target
Published in
Blood, June 2016
DOI 10.1182/blood-2016-01-690743
Pubmed ID
Authors

Marina Bolzoni, Martina Chiu, Fabrizio Accardi, Rosanna Vescovini, Irma Airoldi, Paola Storti, Katia Todoerti, Luca Agnelli, Gabriele Missale, Roberta Andreoli, Massimiliano G Bianchi, Manfredi Allegri, Amelia Barilli, Francesco Nicolini, Albertina Cavalli, Federica Costa, Valentina Marchica, Denise Toscani, Cristina Mancini, Eugenia Martella, Valeria Dall'Asta, Gaetano Donofrio, Franco Aversa, Ovidio Bussolati, Nicola Giuliani

Abstract

The importance of glutamine (Gln) metabolism in multiple myeloma (MM) cells and its potential role as a therapeutic target are still unknown, although it has been reported that human myeloma cell lines (HMCLs) are highly sensitive to Gln depletion. In this study, we found that both HMCLs and primary bone marrow (BM) CD138(+) cells produced large amounts of ammonium in the presence of Gln. MM patients have lower BM plasma Gln with higher ammonium and glutamate than patients with indolent monoclonal gammopathies. Interestingly, HMCLs expressed Glutaminase (GLS1) and were sensitive to its inhibition, while exhibited negligible expression of Glutamine Synthetase (GS). High GLS1 and low GS expression were also observed in primary CD138(+) cells. Gln-free incubation or treatment with the glutaminolytic enzyme L-Asparaginase depleted the cell contents of Gln, glutamate and the anaplerotic substrate 2-oxoglutarate, inhibiting MM cell growth. Consistent with the dependence of MM cells on extracellular Gln, a gene expression profile analysis, on both proprietary and published datasets, showed an increased expression of the Gln transporters SNAT1, ASCT2, and LAT1 by CD138(+) cells across the progression of monoclonal gammopathies. Among these transporters, only ASCT2 inhibition in HMCLs caused a marked decrease in Gln uptake and a significant fall in cell growth. Consistently, stable ASCT2 down-regulation by a lentiviral approach inhibited HMCL growth in vitro and in a murine model. In conclusion, MM cells strictly depend upon extracellular Gln and show features of Gln addiction. Therefore, the inhibition of Gln uptake is a new attractive therapeutic strategy for MM.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 119 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 24%
Student > Ph. D. Student 23 19%
Student > Master 14 12%
Student > Bachelor 11 9%
Student > Doctoral Student 8 7%
Other 19 16%
Unknown 16 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 43 36%
Agricultural and Biological Sciences 19 16%
Medicine and Dentistry 16 13%
Immunology and Microbiology 5 4%
Chemistry 5 4%
Other 9 8%
Unknown 22 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 21 March 2023.
All research outputs
#1,560,780
of 25,377,790 outputs
Outputs from Blood
#1,325
of 33,240 outputs
Outputs of similar age
#28,058
of 355,633 outputs
Outputs of similar age from Blood
#33
of 285 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,240 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 96% 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 355,633 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 92% of its contemporaries.
We're also able to compare this research output to 285 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.