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In silico Experimentation of Glioma Microenvironment Development and Anti-tumor Therapy

Overview of attention for article published in PLoS Computational Biology, February 2012
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Title
In silico Experimentation of Glioma Microenvironment Development and Anti-tumor Therapy
Published in
PLoS Computational Biology, February 2012
DOI 10.1371/journal.pcbi.1002355
Pubmed ID
Authors

Yu Wu, Yao Lu, Weiqiang Chen, Jianping Fu, Rong Fan

Abstract

Tumor cells do not develop in isolation, but co-evolve with stromal cells and tumor-associated immune cells in a tumor microenvironment mediated by an array of soluble factors, forming a complex intercellular signaling network. Herein, we report an unbiased, generic model to integrate prior biochemical data and the constructed brain tumor microenvironment in silico as characterized by an intercellular signaling network comprising 5 types of cells, 15 cytokines, and 69 signaling pathways. The results show that glioma develops through three distinct phases: pre-tumor, rapid expansion, and saturation. We designed a microglia depletion therapy and observed significant benefit for virtual patients treated at the early stages but strikingly no therapeutic efficacy at all when therapy was given at a slightly later stage. Cytokine combination therapy exhibits more focused and enhanced therapeutic response even when microglia depletion therapy already fails. It was further revealed that the optimal combination depends on the molecular profile of individual patients, suggesting the need for patient stratification and personalized treatment. These results, obtained solely by observing the in silico dynamics of the glioma microenvironment with no fitting to experimental/clinical data, reflect many characteristics of human glioma development and imply new venues for treating tumors via selective targeting of microenvironmental components.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Colombia 1 1%
Netherlands 1 1%
Brazil 1 1%
Unknown 68 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 29%
Researcher 13 18%
Student > Master 12 16%
Professor > Associate Professor 6 8%
Student > Doctoral Student 5 7%
Other 8 11%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 29%
Medicine and Dentistry 8 11%
Biochemistry, Genetics and Molecular Biology 7 10%
Neuroscience 7 10%
Engineering 5 7%
Other 14 19%
Unknown 11 15%