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Modeling tumor cell adaptations to hypoxia in multicellular tumor spheroids

Overview of attention for article published in Journal of Experimental & Clinical Cancer Research, August 2017
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Title
Modeling tumor cell adaptations to hypoxia in multicellular tumor spheroids
Published in
Journal of Experimental & Clinical Cancer Research, August 2017
DOI 10.1186/s13046-017-0570-9
Pubmed ID
Authors

Stephen Riffle, Rashmi S. Hegde

Abstract

Under hypoxic conditions, tumor cells undergo a series of adaptations that promote evolution of a more aggressive tumor phenotype including the activation of DNA damage repair proteins, altered metabolism, and decreased proliferation. Together these changes mitigate the negative impact of oxygen deprivation and allow preservation of genomic integrity and proliferative capacity, thus contributing to tumor growth and metastasis. As a result the presence of a hypoxic microenvironment is considered a negative clinical feature of many solid tumors. Hypoxic niches in tumors also represent a therapeutically privileged environment in which chemo- and radiation therapy is less effective. Although the negative impact of tumor hypoxia has been well established, the precise effect of oxygen deprivation on tumor cell behavior, and the molecular signals that allow a tumor cell to survive in vivo are poorly understood. Multicellular tumor spheroids (MCTS) have been used as an in vitro model for the avascular tumor niche, capable of more accurately recreating tumor genomic profiles and predicting therapeutic response. However, relatively few studies have used MCTS to study the molecular mechanisms driving tumor cell adaptations within the hypoxic tumor environment. Here we will review what is known about cell proliferation, DNA damage repair, and metabolic pathways as modeled in MCTS in comparison to observations made in solid tumors. A more precise definition of the cell populations present within 3D tumor models in vitro could better inform our understanding of the heterogeneity within tumors as well as provide a more representative platform for the testing of therapeutic strategies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 240 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 23%
Student > Master 30 13%
Researcher 29 12%
Student > Bachelor 26 11%
Student > Doctoral Student 10 4%
Other 26 11%
Unknown 65 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 26%
Agricultural and Biological Sciences 17 7%
Engineering 16 7%
Medicine and Dentistry 14 6%
Pharmacology, Toxicology and Pharmaceutical Science 12 5%
Other 38 16%
Unknown 80 33%