Evidence map›Paper›PMID 17868458›Full record

ArticleGenome biology2007

Characterization of heterotypic interaction effects in vitro to deconvolute global gene expression profiles in cancer.

Martin Buess, Dimitry S A Nuyten, Trevor Hastie, Torsten Nielsen, Robert Pesich, Patrick O Brown

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

59 citing papers in PubMed, 90 citations in OpenAlex.

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  17. Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
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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

6 authors at 3 institutions in 3 countries.

Martin BuessDepartment of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA.
Dimitry S A Nuyten
Trevor Hastie
Torsten Nielsen
Robert Pesich
Patrick O Brown
Stanford University · USThe Netherlands Cancer Institute · NLUniversity of British Columbia · CA

Funding

Extending and Interpreting Molecular Portraits of CancerR01CA111487 · NCI · STANFORD UNIVERSITY · PI BROWN, PATRICK O. · 2006 to 2010
$1.4M
NCI NIH HHS CA111487NCI NIH HHS R01 CA111487
6 · The paper itself

Abstract

backgroundPerturbations in cell-cell interactions are a key feature of cancer. However, little is known about the systematic effects of cell-cell interaction on global gene expression in cancer.

resultsWe used an ex vivo model to simulate tumor-stroma interaction by systematically co-cultivating breast cancer cells with stromal fibroblasts and determined associated gene expression changes with cDNA microarrays. In the complex picture of epithelial-mesenchymal interaction effects, a prominent characteristic was an induction of interferon-response genes (IRGs) in a subset of cancer cells. In close proximity to these cancer cells, the fibroblasts secreted type I interferons, which, in turn, induced expression of the IRGs in the tumor cells. Paralleling this model, immunohistochemical analysis of human breast cancer tissues showed that STAT1, the key transcriptional activator of the IRGs, and itself an IRG, was expressed in a subset of the cancers, with a striking pattern of elevated expression in the cancer cells in close proximity to the stroma. In vivo, expression of the IRGs was remarkably coherent, providing a basis for segregation of 295 early-stage breast cancers into two groups. Tumors with high compared to low expression levels of IRGs were associated with significantly shorter overall survival; 59% versus 80% at 10 years (log-rank p = 0.001).

conclusionIn an effort to deconvolute global gene expression profiles of breast cancer by systematic characterization of heterotypic interaction effects in vitro, we found that an interaction between some breast cancer cells and stromal fibroblasts can induce an interferon-response, and that this response may be associated with a greater propensity for tumor progression.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticBreast NeoplasmsCell Line, TumorCells, CulturedCoculture TechniquesDisease ProgressionFibroblastsGenomicsHumansInterferonsNeoplasm InvasivenessNeoplasmsOligonucleotide Array Sequence AnalysisSTAT1 Transcription FactorInterferonsSTAT1 protein, humanSTAT1 Transcription Factor

Identifiers

PMID17868458
PMCPMC2375029
OpenAlexW2157215722

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.