In silico experimentation of glioma microenvironment development and anti-tumor therapy

PLoS Computational Biology
Yu WuRong 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 ...Continue Reading

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Citations

Dec 28, 2012·Biochimica Et Biophysica Acta·Mithilesh Kumar JhaKyoungho Suk
Mar 24, 2017·Brain : a Journal of Neurology·Candice C PoonJohn J P Kelly
Oct 20, 2012·Integrative Biology : Quantitative Biosciences From Nano to Macro·Yu WuRong Fan
Apr 13, 2019·Annual Review of Analytical Chemistry·Zhuo ChenRong Fan
Jan 25, 2020·International Journal of Molecular Sciences·Yolanda Pires-AfonsoAlessandro Michelucci
Feb 15, 2018·Molecular Cancer Therapeutics·Yongjiang ZhengXiaoqiang Sun
Mar 18, 2021·OncoTargets and Therapy·Qiyan WangGuishan Jin

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