Evidence map›Paper›PMID 26832069›Full record

ArticleScientific reports2016

Proteolytic and non-proteolytic regulation of collective cell invasion: tuning by ECM density and organization.

Sandeep Kumar, Aastha Kapoor, Sejal Desai, Mandar M Inamdar, Shamik Sen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.9field-weighted citation impact, top 4% of its field
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

37 citing papers in PubMed, 69 citations in OpenAlex.

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  18. Translational cancer research · 2020
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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

5 authors at 1 institution in 1 country.

Sandeep KumarDepartment of Biosciences and Bioengineering, IIT Bombay, Mumbai, India.
Aastha KapoorDepartment of Biosciences and Bioengineering, IIT Bombay, Mumbai, India.
Sejal DesaiDepartment of Biosciences and Bioengineering, IIT Bombay, Mumbai, India.
Mandar M InamdarCivil Engineering Department, IIT Bombay, Mumbai, India.
Shamik SenDepartment of Biosciences and Bioengineering, IIT Bombay, Mumbai, India.
Indian Institute of Technology Bombay · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cells manoeuvre through extracellular matrices (ECMs) using different invasion modes, including single cell and collective cell invasion. These modes rely on MMP-driven ECM proteolysis to make space for cells to move. How cancer-associated alterations in ECM influence the mode of invasion remains unclear. Further, the sensitivity of the two invasion modes to MMP dynamics remains unexplored. In this paper, we address these open questions using a multiscale hybrid computational model combining ECM density-dependent MMP secretion, MMP diffusion, ECM degradation by MMP and active cell motility. Our results demonstrate that in randomly aligned matrices, collective cell invasion is more efficient than single cell invasion. Although increase in MMP secretion rate enhances invasiveness independent of cell-cell adhesion, sustenance of collective invasion in dense matrices requires high MMP secretion rates. However, matrix alignment can sustain both single cell and collective cell invasion even without ECM proteolysis. Similar to our in-silico observations, increase in ECM density and MMP inhibition reduced migration of MCF-7 cells embedded in sandwich gels. Together, our results indicate that apart from cell intrinsic factors (i.e., high cell-cell adhesion and MMP secretion rates), ECM density and organization represent two important extrinsic parameters that govern collective cell invasion and invasion plasticity.

Indexed as

Computer SimulationModels, BiologicalAnimalsCollagenasesExtracellular MatrixHumansNeoplasm InvasivenessNeoplasm ProteinsNeoplasmsCollagenasesNeoplasm Proteins

Identifiers

PMID26832069
PMCPMC4735823
OpenAlexW2414848736

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.