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Identification of markers that functionally define a quiescent multiple myeloma cell sub-population surviving bortezomib treatment

Overview of attention for article published in BMC Cancer, May 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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1 news outlet
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3 X users
patent
1 patent

Citations

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25 Dimensions

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50 Mendeley
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Title
Identification of markers that functionally define a quiescent multiple myeloma cell sub-population surviving bortezomib treatment
Published in
BMC Cancer, May 2015
DOI 10.1186/s12885-015-1460-1
Pubmed ID
Authors

Alfred Adomako, Veronica Calvo, Noa Biran, Keren Osman, Ajai Chari, James C Paton, Adrienne W Paton, Kateri Moore, Denis M Schewe, Julio A Aguirre-Ghiso

Abstract

The mechanisms allowing residual multiple myeloma (MM) cells to persist after bortezomib (Bz) treatment remain unclear. We hypothesized that studying the biology of bortezomib-surviving cells may reveal markers to identify these cells and survival signals to target and kill residual MM cells. We used H2B-GFP label retention, biochemical tools and in vitro and in vivo experiments to characterize growth arrest and the unfolded protein responses in quiescent Bz-surviving cells. We also tested the effect of a demethylating agent, 5-Azacytidine, on Bz-induced quiescence and whether inhibiting the chaperone GRP78/BiP (henceforth GRP78) with a specific toxin induced apoptosis in Bz-surviving cells. Finally, we used MM patient samples to test whether GRP78 levels might associate with disease progression. Statistical analysis employed t-test and Mann-Whitney tests at a 95% confidence. We report that Bz-surviving MM cells in vitro and in vivo enter quiescence characterized by p21(CIP1) upregulation. Bz-surviving MM cells also downregulated CDK6, Ki67 and P-Rb. H2B-GFP label retention showed that Bz-surviving MM cells are either slow-cycling or deeply quiescent. The Bz-induced quiescence was stabilized by low dose (500nM) of 5-azacytidine (Aza) pre-treatment, which also potentiated the initial Bz-induced apoptosis. We also found that expression of GRP78, an unfolded protein response (UPR) survival factor, persisted in MM quiescent cells. Importantly, GRP78 downregulation using a specific SubAB bacterial toxin killed Bz-surviving MM cells. Finally, quantification of Grp78(high)/CD138+ MM cells from patients suggested that high levels correlated with progressive disease. We conclude that Bz-surviving MM cells display a GRP78(HIGH)/p21(HIGH)/CDK6(LOW)/P-Rb(LOW) profile, and these markers may identify quiescent MM cells capable of fueling recurrences. We further conclude that Aza + Bz treatment of MM may represent a novel strategy to delay recurrences by enhancing Bz-induced apoptosis and quiescence stability.

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Mendeley readers

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Geographical breakdown

Country Count As %
France 1 2%
Germany 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Other 7 14%
Researcher 6 12%
Student > Master 6 12%
Professor > Associate Professor 4 8%
Other 11 22%
Unknown 7 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 20%
Medicine and Dentistry 10 20%
Agricultural and Biological Sciences 10 20%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Design 2 4%
Other 7 14%
Unknown 9 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 23 May 2023.
All research outputs
#2,231,166
of 23,818,521 outputs
Outputs from BMC Cancer
#387
of 8,473 outputs
Outputs of similar age
#29,226
of 268,453 outputs
Outputs of similar age from BMC Cancer
#11
of 199 outputs
Altmetric has tracked 23,818,521 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,473 research outputs from this source. They receive a mean Attention Score of 4.4. 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 268,453 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 89% of its contemporaries.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.