Evidence map›Paper›PMID 25768678›Full record

ArticlePLoS computational biology2015

Angiogenic activity of breast cancer patients' monocytes reverted by combined use of systems modeling and experimental approaches.

Nicolas Guex, Isaac Crespo, Sylvian Bron, Assia Ifticene-Treboux, Eveline Faes-Van't Hull, Solange Kharoubi, Robin Liechti, Patricia Werffeli, Mark Ibberson, Francois Majo and 11 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. 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
1.7field-weighted citation impact, top 17% of its field
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, 23 citations in OpenAlex.

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  6. Macrophage Polarization States in the Tumor Microenvironment.International journal of molecular sciences · 2021
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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

21 authors at 8 institutions in 3 countries.

Nicolas GuexThe Vital-IT, SIB (Swiss Institute of Bioinformatics), University of Lausanne, Lausanne, Switzerland.
Isaac CrespoThe Vital-IT, SIB (Swiss Institute of Bioinformatics), University of Lausanne, Lausanne, Switzerland.
Sylvian BronLudwig Center for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Assia Ifticene-TrebouxCentre du Sein, CHUV (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland; Department of Gynecology and Obstetrics, CHUV (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland.
Eveline Faes-Van't HullLudwig Center for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Solange KharoubiLudwig Center for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Robin LiechtiThe Vital-IT, SIB (Swiss Institute of Bioinformatics), University of Lausanne, Lausanne, Switzerland.
Patricia WerffeliDepartment of Oncology, CHUV (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland.
Mark IbbersonThe Vital-IT, SIB (Swiss Institute of Bioinformatics), University of Lausanne, Lausanne, Switzerland.
Francois MajoHopital Ophtalmique Jules-Gonin, Lausanne, Switzerland.
Michäel NicolasHopital Ophtalmique Jules-Gonin, Lausanne, Switzerland.
Julien LaurentMerck Group, Darmstadt, Germany.
Abhishek GargHarvard Medical School, Boston, Massachusetts, United States of America.
Khalil ZamanCentre du Sein, CHUV (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland.
Hans-Anton LehrInstitute of Pathology, University of Lausanne, Switzerland and Institute of Pathology, Johannes Gutenberg University, Mainz, Germany.
Brian J StevensonThe Vital-IT, SIB (Swiss Institute of Bioinformatics), University of Lausanne, Lausanne, Switzerland.
Curzio RüeggDepartment of Medicine, University of Fribourg, Fribourg, Switzerland.
George CoukosLudwig Center for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Jean-François DelaloyeCentre du Sein, CHUV (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland; Department of Gynecology and Obstetrics, CHUV (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland.
Ioannis XenariosThe Vital-IT, SIB (Swiss Institute of Bioinformatics), University of Lausanne, Lausanne, Switzerland.
Marie-Agnès DouceyLudwig Center for Cancer Research, University of Lausanne, Lausanne, Switzerland.
University of Lausanne · CHHôpital Ophtalmique Jules-Gonin · CHLudwig Cancer Research · CHUniversity Hospital of Lausanne · CHHarvard University · USMerck (Germany) · DESIB Swiss Institute of Bioinformatics · CHUniversity of Fribourg · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Angiogenesis plays a key role in tumor growth and cancer progression. TIE-2-expressing monocytes (TEM) have been reported to critically account for tumor vascularization and growth in mouse tumor experimental models, but the molecular basis of their pro-angiogenic activity are largely unknown. Moreover, differences in the pro-angiogenic activity between blood circulating and tumor infiltrated TEM in human patients has not been established to date, hindering the identification of specific targets for therapeutic intervention. In this work, we investigated these differences and the phenotypic reversal of breast tumor pro-angiogenic TEM to a weak pro-angiogenic phenotype by combining Boolean modelling and experimental approaches. Firstly, we show that in breast cancer patients the pro-angiogenic activity of TEM increased drastically from blood to tumor, suggesting that the tumor microenvironment shapes the highly pro-angiogenic phenotype of TEM. Secondly, we predicted in silico all minimal perturbations transitioning the highly pro-angiogenic phenotype of tumor TEM to the weak pro-angiogenic phenotype of blood TEM and vice versa. In silico predicted perturbations were validated experimentally using patient TEM. In addition, gene expression profiling of TEM transitioned to a weak pro-angiogenic phenotype confirmed that TEM are plastic cells and can be reverted to immunological potent monocytes. Finally, the relapse-free survival analysis showed a statistically significant difference between patients with tumors with high and low expression values for genes encoding transitioning proteins detected in silico and validated on patient TEM. In conclusion, the inferred TEM regulatory network accurately captured experimental TEM behavior and highlighted crosstalk between specific angiogenic and inflammatory signaling pathways of outstanding importance to control their pro-angiogenic activity. Results showed the successful in vitro reversion of such an activity by perturbation of in silico predicted target genes in tumor derived TEM, and indicated that targeting tumor TEM plasticity may constitute a novel valid therapeutic strategy in breast cancer.

Indexed as

Models, BiologicalAnimalsBreast NeoplasmsCell LineComputational BiologyCytokinesFemaleHumansKaplan-Meier EstimateMiceMice, TransgenicMiddle AgedMonocytesNeoplasms, ExperimentalNeovascularization, PathologicPhenotypeCytokines

Identifiers

PMID25768678
PMCPMC4359163
OpenAlexW1977284963

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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.