Evidence map›Paper›PMID 22319429›Full record

ArticlePLoS computational biology2012

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

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

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
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  14. Inter-cellular signaling network reveals a mechanistic transition in tumor microenvironment.Integrative biology : quantitative biosciences from nano to macro · 2012
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yu WuDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
Yao Lu
Weiqiang Chen
Jianping Fu
Rong Fan

Funding

Integrated Microchips for Informative Diagnosis of Cancer-immune InteractionsR00CA136759 · NCI · YALE UNIVERSITY · PI FAN, RONG · 2010 to 2012
$707k
NCI NIH HHS 4R00 CA136759-02NCI NIH HHS R00 CA136759
6 · The paper itself

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.

Indexed as

Models, BiologicalTumor MicroenvironmentAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsAstrocytesComputer SimulationCytokinesGliomaHumansMicrogliaSignal TransductionAntineoplastic AgentsCytokines

Identifiers

PMID22319429
PMCPMC3271023

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.