Evidence map›Paper›PMID 18516279›Full record

ArticleMolecular oncology2007

The morphologies of breast cancer cell lines in three-dimensional assays correlate with their profiles of gene expression.

Paraic A Kenny, Genee Y Lee, Connie A Myers, Richard M Neve, Jeremy R Semeiks, Paul T Spellman, Katrin Lorenz, Eva H Lee, Mary Helen Barcellos-Hoff, Ole W Petersen and 2 more

Abstract readComparative Study
In one paragraph

Article in Molecular oncology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 563 papers.

0numbers the graph read from it
0cells of the map it votes in
563citing 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

563 citing papers in PubMed.

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503 more citing papers are in PubMed but not listed here.

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

12 authors.

Paraic A KennyLife Sciences Division, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA.
Genee Y Lee
Connie A Myers
Richard M Neve
Jeremy R Semeiks
Paul T Spellman
Katrin Lorenz
Eva H Lee
Mary Helen Barcellos-Hoff
Ole W Petersen
Joe W Gray
Mina J Bissell

Funding

Systems-Based Predictions of Responses to Cancer TherapyU54CA112970 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI GRAY, JOE W. · 2004 to 2014
$27.1M
Definition of the Microenvironment in Breast CancerR01CA064786 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI BISSELL, MINA · 1995 to 2020
$6.1M
Bioengineering 3-D Models for Organ-Specific Cancer Therapy in Lung and BreastU54CA126552 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI BISSELL, MINA · 2006 to 2010
$2.2M
NCI NIH HHS R01 CA064786NCI NIH HHS U54 CA112970NCI NIH HHS U54 CA126552
6 · The paper itself

Abstract

3D cell cultures are rapidly becoming the method of choice for the physiologically relevant modeling of many aspects of non-malignant and malignant cell behavior ex vivo. Nevertheless, only a limited number of distinct cell types have been evaluated in this assay to date. Here we report the first large scale comparison of the transcriptional profiles and 3D cell culture phenotypes of a substantial panel of human breast cancer cell lines. Each cell line adopts a colony morphology of one of four main classes in 3D culture. These morphologies reflect, at least in part, the underlying gene expression profile and protein expression patterns of the cell lines, and distinct morphologies were also associated with tumor cell invasiveness and with cell lines originating from metastases. We further demonstrate that consistent differences in genes encoding signal transduction proteins emerge when even tumor cells are cultured in 3D microenvironments.

Indexed as

Gene Expression Regulation, NeoplasticSignal TransductionBreast NeoplasmsCell Culture TechniquesCell Line, TumorFemaleHumansNeoplasm InvasivenessNeoplasm MetastasisNeoplasm ProteinsNeoplasm Proteins3D cultureBreast cancerextracellular matrixgene expression profilingsignal transduction

Identifiers

PMID18516279
PMCPMC2391005

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.