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Hypoxia and Hypoxia-Inducible Factors in Leukemias

Overview of attention for article published in Frontiers in oncology, February 2016
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  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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Title
Hypoxia and Hypoxia-Inducible Factors in Leukemias
Published in
Frontiers in oncology, February 2016
DOI 10.3389/fonc.2016.00041
Pubmed ID
Authors

Margaux Deynoux, Nicola Sunter, Olivier Hérault, Frédéric Mazurier

Abstract

Despite huge improvements in the treatment of leukemia, the percentage of patients suffering relapse still remains significant. Relapse most often results from a small number of leukemic stem cells (LSCs) within the bone marrow, which are able to self-renew, and therefore reestablish the full tumor. The marrow microenvironment contributes considerably in supporting the protection and development of leukemic cells. LSCs share specific niches with normal hematopoietic stem cells with the niche itself being composed of a variety of cell types, including mesenchymal stem/stromal cells, bone cells, immune cells, neuronal cells, and vascular cells. A hallmark of the hematopoietic niche is low oxygen partial pressure, indeed this hypoxia is necessary for the long-term maintenance of hematopoietic stem/progenitor cells. Hypoxia is a strong signal, principally maintained by members of the hypoxia-inducible factor (HIF) family. In solid tumors, it has been well established that hypoxia triggers intrinsic metabolic changes and microenvironmental modifications, such as the stimulation of angiogenesis, through activation of HIFs. As leukemia is not considered a "solid" tumor, the role of oxygen in the disease was presumed to be inconsequential and remained long overlooked. This view has now been revised since hypoxia has been shown to influence leukemic cell proliferation, differentiation, and resistance to chemotherapy. However, the role of HIF proteins remains controversial with HIFs being considered as either oncogenes or tumor suppressor genes, depending on the study and model. The purpose of this review is to highlight our knowledge of hypoxia and HIFs in leukemic development and therapeutic resistance and to discuss the recent hypoxia-based strategies proposed to eradicate leukemias.

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

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 26%
Student > Master 18 14%
Researcher 16 13%
Student > Bachelor 10 8%
Student > Doctoral Student 5 4%
Other 10 8%
Unknown 35 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 33%
Agricultural and Biological Sciences 13 10%
Medicine and Dentistry 12 9%
Immunology and Microbiology 9 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 9 7%
Unknown 39 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 April 2016.
All research outputs
#14,915,476
of 25,374,917 outputs
Outputs from Frontiers in oncology
#4,134
of 22,416 outputs
Outputs of similar age
#150,664
of 312,297 outputs
Outputs of similar age from Frontiers in oncology
#28
of 85 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,416 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 80% 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 312,297 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.