Evidence map›Paper›PMID 28548077›Full record

ArticleBiomedicines2014

Epithelial-Mesenchymal Transition in Metastatic Cancer Cell Populations Affects Tumor Dormancy in a Simple Mathematical Model.

Adam L MacLean, Heather A Harrington, Michael P H Stumpf, Marc D H Hansen

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 2 countries.

Adam L MacLeanTheoretical Systems Biology, Department of Life Sciences, Imperial College London, Sir Ernst Chain Building, London SW7 2AZ, UK. adam.maclean09@imperial.ac.uk.
Heather A HarringtonTheoretical Systems Biology, Department of Life Sciences, Imperial College London, Sir Ernst Chain Building, London SW7 2AZ, UK. Heather.Harrington@maths.ox.ac.uk.
Michael P H StumpfTheoretical Systems Biology, Department of Life Sciences, Imperial College London, Sir Ernst Chain Building, London SW7 2AZ, UK. m.stumpf@imperial.ac.uk.
Marc D H HansenDepartment of Physiology and Developmental Biology, Brigham Young University, Provo, UT 84602, USA. marchansen@byu.edu.
Imperial College London · GBBrigham Young University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Signaling from the c-Met receptor tyrosine kinase is associated with progression and metastasis of epithelial tumors. c-Met, the receptor for hepatocyte growth factor, triggers epithelial-mesenchymal transition (EMT) of cultured cells, which is thought to drive migration of tumor cells and confer on them critical stem cell properties. Here, we employ mathematical modeling to better understand how EMT affects population dynamics in metastatic tumors. We find that without intervention, micrometastatic tumors reach a steady-state population. While the rates of proliferation, senescence and death only have subtle effects on the steady state, changes in the frequency of EMT dramatically alter population dynamics towards exponential growth. We also find that therapies targeting cell proliferation or cell death are markedly more successful when combined with one that prevents EMT, though such therapies do little when used alone. Stochastic modeling reveals the probability of tumor recurrence from small numbers of residual differentiated tumor cells. EMT events in metastatic tumors provide a plausible mechanism by which clinically detectable tumors can arise from dormant micrometastatic tumors. Modeling the dynamics of this process demonstrates the benefit of a treatment that eradicates tumor cells and reduces the rate of EMT simultaneously.

Indexed as

cancer growthchemotherapymathematical modelingmetastasis

Identifiers

PMID28548077
PMCPMC5344274
OpenAlexW1966179818

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.