Evidence map›Paper›PMID 21647371›Full record

ArticlePloS one2011

Cancer cell migration: integrated roles of matrix mechanics and transforming potential.

Erin L Baker, Jaya Srivastava, Dihua Yu, Roger T Bonnecaze, Muhammad H Zaman

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Unjamming and collective migration in MCF10A breast cancer cell lines.Biochemical and biophysical research communications · 2020
    Article
  6. Article
  7. Biomimetic Designer Scaffolds Made of D,L-Lactide-Tissue engineering. Part B, Reviews · 2019
    Review
  8. Article
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  10. Article
  11. Review
  12. Article
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  18. Article
  19. Article
  20. Review
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

5 authors.

Erin L BakerDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, United States of America.
Jaya Srivastava
Dihua Yu
Roger T Bonnecaze
Muhammad H Zaman

Funding

Quantitative Analysis of Tumor Cell Migration in Three Dimensioinal MatricesR01CA132633 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI ANSETH, KRISTI S., ZAMAN, MUHAMMAD HAMID · 2008 to 2011
$1.5M
NCI NIH HHS 1R01CA132633NCI NIH HHS R01 CA132633
6 · The paper itself

Abstract

Significant progress has been achieved toward elucidating the molecular mechanisms that underlie breast cancer progression; yet, much less is known about the associated cellular biophysical traits. To this end, we use time-lapsed confocal microscopy to investigate the interplay among cell motility, three-dimensional (3D) matrix stiffness, matrix architecture, and transforming potential in a mammary epithelial cell (MEC) cancer progression series. We use a well characterized breast cancer progression model where human-derived MCF10A MECs overexpress either ErbB2, 14-3-3ζ, or both ErbB2 and 14-3-3ζ, with empty vector as a control. Cell motility assays showed that MECs overexpressing ErbB2 alone exhibited notably high migration speeds when cultured atop two-dimensional (2D) matrices, while overexpression of 14-3-3ζ alone most suppressed migration atop 2D matrices (as compared to non-transformed MECs). Our results also suggest that co-overexpression of the 14-3-3ζ and ErbB2 proteins facilitates cell migratory capacity in 3D matrices, as reflected in cell migration speed. Additionally, 3D matrices of sufficient stiffness can significantly hinder the migratory ability of partially transformed cells, but increased 3D matrix stiffness has a lesser effect on the aggressive migratory behavior exhibited by fully transformed cells that co-overexpress both ErbB2 and 14-3-3ζ. Finally, this study shows that for MECs possessing partial or full transforming potential, those overexpressing ErbB2 alone show the greatest sensitivity of cell migration speed to matrix architecture, while those overexpressing 14-3-3ζ alone exhibit the least sensitivity to matrix architecture. Given the current knowledge of breast cancer mechanobiology, these findings overall suggest that cell motility is governed by a complex interplay between matrix mechanics and transforming potential.

Indexed as

Cell MovementCell Transformation, NeoplasticBreast NeoplasmsCell Line, TumorCollagen Type IElastic ModulusExtracellular MatrixHumansMammary Glands, HumanMicroscopy, ConfocalCollagen Type I

Identifiers

PMID21647371
PMCPMC3103552

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.