Evidence map›Paper›PMID 15963732›Full record

ReviewSeminars in cancer biology2005

Modeling dynamic reciprocity: engineering three-dimensional culture models of breast architecture, function, and neoplastic transformation.

Celeste M Nelson, Mina J Bissell

Abstract readReview
In one paragraph

Review in Seminars in cancer biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
151citing papers in PubMed, 1 pooled it
–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

151 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Nanomotors Sense Local Physicochemical Heterogeneities in Tumor Microenvironments*.Angewandte Chemie (International ed. in English) · 2020
    Article
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91 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

2 authors.

Celeste M NelsonLife Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, MS 977-225A, Berkeley, CA 94720, USA.
Mina J Bissell

Funding

Role of Metalloproteinases in Mammary Gland RemodelingR01CA057621 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WERB, ZENA · 1993 to 2017
$9.0M
Definition of the Microenvironment in Breast CancerR01CA064786 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI BISSELL, MINA · 1995 to 2020
$6.1M
Definition of Microenvironment in Breast CancerR37CA064786 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI BISSELL, MINA · 2009 to 2013
$2.0M
NCI NIH HHS CA57621NCI NIH HHS CA64786NCI NIH HHS R01 CA057621NCI NIH HHS R01 CA064786NCI NIH HHS R37 CA064786
6 · The paper itself

Abstract

In order to understand why cancer develops as well as predict the outcome of pharmacological treatments, we need to model the structure and function of organs in culture so that our experimental manipulations occur under physiological contexts. This review traces the history of the development of a prototypic example, the three-dimensional (3D) model of the mammary gland acinus. We briefly describe the considerable information available on both normal mammary gland function and breast cancer generated by the current model and present future challenges that will require an increase in its complexity. We propose the need for engineered tissues that faithfully recapitulate their native structures to allow a greater understanding of tissue function, dysfunction, and potential therapeutic intervention.

Indexed as

AnimalsBreast NeoplasmsCell Transformation, NeoplasticHumansMammary Glands, AnimalMammary Glands, HumanModels, AnatomicModels, BiologicalPhenotypeTissue Engineering

Identifiers

PMID15963732
PMCPMC2933210

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.