Evidence map›Paper›PMID 24961804›Full record

ArticleJournal of visualized experiments : JoVE2014

Quantification of breast cancer cell invasiveness using a three-dimensional (3D) model.

Donna Cvetković, Cameron Glenn-Franklin Goertzen, Moshmi Bhattacharya

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

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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

3 authors.

Donna CvetkovićDepartment of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, University of Western Ontario.
Cameron Glenn-Franklin GoertzenDepartment of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, University of Western Ontario.
Moshmi BhattacharyaDepartment of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, University of Western Ontario; Department of Oncology, Schulich School of Medicine and Dentistry, University of Western Ontario; Lawson Health Research Institute; Moshmi.Bhattacharya@schulich.uwo.ca.

Funding

Canadian Institutes of Health Research MOP 107972
6 · The paper itself

Abstract

It is now well known that the cellular and tissue microenvironment are critical regulators influencing tumor initiation and progression. Moreover, the extracellular matrix (ECM) has been demonstrated to be a critical regulator of cell behavior in culture and homeostasis in vivo. The current approach of culturing cells on two-dimensional (2D), plastic surfaces results in the disturbance and loss of complex interactions between cells and their microenvironment. Through the use of three-dimensional (3D) culture assays, the conditions for cell-microenvironment interaction are established resembling the in vivo microenvironment. This article provides a detailed methodology to grow breast cancer cells in a 3D basement membrane protein matrix, exemplifying the potential of 3D culture in the assessment of cell invasion into the surrounding environment. In addition, we discuss how these 3D assays have the potential to examine the loss of signaling molecules that regulate epithelial morphology by immunostaining procedures. These studies aid to identify important mechanistic details into the processes regulating invasion, required for the spread of breast cancer.

Indexed as

Basement MembraneBreast NeoplasmsCell Culture TechniquesCell Line, TumorFemaleHumansImaging, Three-DimensionalMCF-7 CellsNeoplasm InvasivenessTumor Cells, Cultured

Identifiers

PMID24961804
PMCPMC4189393

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.