Evidence map›Paper›PMID 29340409›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2018

Dynamics of 3D carcinoma cell invasion into aligned collagen.

Arja Ray, Rachel K Morford, Nima Ghaderi, David J Odde, Paolo P Provenzano

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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.

Arja RayDepartment of Biomedical Engineering, University of Minnesota, 7-120 NHH, 312 Church St SE, Minneapolis, MN 55455, USA. pprovenz@umn.edu.
Rachel K Morford
Nima Ghaderi
David J Odde
Paolo P Provenzano

Funding

Project 2: Cell Migration in Mechanically Complex MicroenvironmentsU54CA210190 · NCI · UNIVERSITY OF MINNESOTA · PI ODDE, DAVID J. · 2016 to 2020
$10.0M
Modeling and microsystems approach to glioma invasionR01CA172986 · NCI · UNIVERSITY OF MINNESOTA · PI ODDE, DAVID J., ROSENFELD, STEVEN S · 2013 to 2017
$2.3M
Stellate cells and their progenitor precursors in pancreas cancer progressionR01CA181385 · NCI · UNIVERSITY OF MINNESOTA · PI PROVENZANO, PAOLO · 2014 to 2018
$1.8M
NCI NIH HHS R01 CA172986NCI NIH HHS R01 CA181385NCI NIH HHS U54 CA210190
6 · The paper itself

Abstract

Carcinoma cells frequently expand and invade from a confined lesion, or multicellular clusters, into and through the stroma on the path to metastasis, often with an efficiency dictated by the architecture and composition of the microenvironment. Specifically, in desmoplastic carcinomas such as those of the breast, aligned collagen tracks provide contact guidance cues for directed cancer cell invasion. Yet, the evolving dynamics of this process of invasion remains poorly understood, in part due to difficulties in continuously capturing both spatial and temporal heterogeneity and progression to invasion in experimental systems. Therefore, to study the local invasion process from cell dense clusters into aligned collagen architectures found in solid tumors, we developed a novel engineered 3D invasion platform that integrates an aligned collagen matrix with a cell dense tumor-like plug. Using multiphoton microscopy and quantitative analysis of cell motility, we track the invasion of cancer cells from cell-dense bulk clusters into the pre-aligned 3D matrix, and define the temporal evolution of the advancing invasion fronts over several days. This enables us to identify and probe cell dynamics in key regions of interest: behind, at, and beyond the edge of the invading lesion at distinct time points. Analysis of single cell migration identifies significant spatial heterogeneity in migration behavior between cells in the highly cell-dense region behind the leading edge of the invasion front and cells at and beyond the leading edge. Moreover, temporal variations in motility and directionality are also observed between cells within the cell-dense tumor-like plug and the leading invasive edge as its boundary extends into the anisotropic collagen over time. Furthermore, experimental results combined with mathematical modeling demonstrate that in addition to contact guidance, physical crowding of cells is a key regulating factor orchestrating variability in single cell migration during invasion into anisotropic ECM. Thus, our novel platform enables us to capture spatio-temporal dynamics of cell behavior behind, at, and beyond the invasive front and reveals heterogeneous, local interactions that lead to the emergence and maintenance of the advancing front.

Indexed as

Breast NeoplasmsCarcinomaCell Line, TumorCell MovementCollagenExtracellular MatrixFemaleHumansImaging, Three-DimensionalMicroscopy, Fluorescence, MultiphotonModels, BiologicalNeoplasm InvasivenessSystems BiologyCollagen

Identifiers

PMID29340409
PMCPMC6004317

What OpenQuestion holds

Textmetadata
LicenceTDM
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.