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Selection of Metastatic Breast Cancer Cells Based on Adaptability of Their Metabolic State

Overview of attention for article published in PLOS ONE, May 2012
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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1 X user
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2 patents

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65 Mendeley
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Title
Selection of Metastatic Breast Cancer Cells Based on Adaptability of Their Metabolic State
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036510
Pubmed ID
Authors

Balraj Singh, Karen Tai, Simran Madan, Milan R. Raythatha, Amanda M. Cady, Megan Braunlin, LaTashia R. Irving, Ankur Bajaj, Anthony Lucci

Abstract

A small subpopulation of highly adaptable breast cancer cells within a vastly heterogeneous population drives cancer metastasis. Here we describe a function-based strategy for selecting rare cancer cells that are highly adaptable and drive malignancy. Although cancer cells are dependent on certain nutrients, e.g., glucose and glutamine, we hypothesized that the adaptable cancer cells that drive malignancy must possess an adaptable metabolic state and that such cells could be identified using a robust selection strategy. As expected, more than 99.99% of cells died upon glutamine withdrawal from the aggressive breast cancer cell line SUM149. The rare cells that survived and proliferated without glutamine were highly adaptable, as judged by additional robust adaptability assays involving prolonged cell culture without glucose or serum. We were successful in isolating rare metabolically plastic glutamine-independent (Gln-ind) variants from several aggressive breast cancer cell lines that we tested. The Gln-ind cells overexpressed cyclooxygenase-2, an indicator of tumor aggressiveness, and they were able to adjust their glutaminase level to suit glutamine availability. The Gln-ind cells were anchorage-independent, resistant to chemotherapeutic drugs doxorubicin and paclitaxel, and resistant to a high concentration of a COX-2 inhibitor celecoxib. The number of cells being able to adapt to non-availability of glutamine increased upon prior selection of cells for resistance to chemotherapy drugs or resistance to celecoxib, further supporting a linkage between cellular adaptability and therapeutic resistance. Gln-ind cells showed indications of oxidative stress, and they produced cadherin11 and vimentin, indicators of mesenchymal phenotype. Gln-ind cells were more tumorigenic and more metastatic in nude mice than the parental cell line as judged by incidence and time of occurrence. As we decreased the number of cancer cells in xenografts, lung metastasis and then primary tumor growth was impaired in mice injected with parental cell line, but not in mice injected with Gln-ind cells.

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The data shown below were collected from the profile of 1 X user 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Canada 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 22%
Student > Master 11 17%
Student > Doctoral Student 7 11%
Student > Ph. D. Student 7 11%
Student > Bachelor 4 6%
Other 12 18%
Unknown 10 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 28%
Biochemistry, Genetics and Molecular Biology 11 17%
Medicine and Dentistry 8 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Nursing and Health Professions 2 3%
Other 9 14%
Unknown 13 20%
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 05 February 2019.
All research outputs
#4,145,236
of 22,664,644 outputs
Outputs from PLOS ONE
#58,568
of 193,509 outputs
Outputs of similar age
#28,294
of 163,491 outputs
Outputs of similar age from PLOS ONE
#842
of 3,689 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 68% 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 163,491 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 81% of its contemporaries.
We're also able to compare this research output to 3,689 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.