Evidence map›Paper›PMID 31016574›Full record

ArticleBulletin of mathematical biology2019

A 3D Multiscale Model to Explore the Role of EGFR Overexpression in Tumourigenesis.

Anass Bouchnita, Stefan Hellander, Andreas Hellander

Open access · hybridAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2019. 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
0.2field-weighted citation impact, top 50% 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, 6 citations in OpenAlex.

  1. Review
  2. 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

3 authors at 1 institution in 1 country.

Anass BouchnitaDivision of Scientific Computing, Department of Information Technology, Uppsala University, 75105, Uppsala, Sweden. anass.bouchnita@it.uu.se.ORCID 0000-0002-2729-6484
Stefan HellanderDivision of Scientific Computing, Department of Information Technology, Uppsala University, 75105, Uppsala, Sweden.
Andreas HellanderDivision of Scientific Computing, Department of Information Technology, Uppsala University, 75105, Uppsala, Sweden.
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidermal growth factor receptor (EGFR) signalling cascade is one of the main pathways that regulate the survival and division of mammalian cells. It is also one of the most altered transduction pathways in cancer. Acquired mutations in the EGFR/ERK pathway can cause the overexpression of EGFR on the surface of the cell, while others downregulate the inactivation of switched on intracellular proteins such as Ras and Raf. This upregulates the activity of ERK and promotes cell division. We develop a 3D multiscale model to explore the role of EGFR overexpression on tumour initiation. In this model, cells are described as individual objects that move, interact, divide, proliferate, and die by apoptosis. We use Brownian Dynamics to describe the extracellular and intracellular regulations of cells as well as the spatial and stochastic effects influencing them. The fate of each cell depends on the number of active transcription factors in the nucleus. We use numerical simulations to investigate the individual and combined effects of mutations on the intracellular regulation of individual cells. Next, we show that the distance between active receptors increase the level of EGFR/ERK signalling. We demonstrate the usefulness of the model by quantifying the impact of mutational alterations in the EGFR/ERK pathway on the growth rate of in silico tumours.

Indexed as

Models, BiologicalAnimalsApoptosisBiomechanical PhenomenaCarcinogenesisCell ProliferationComputer SimulationErbB ReceptorsExtracellular Signal-Regulated MAP KinasesGene Expression Regulation, NeoplasticHumansMathematical ConceptsMutationSignal TransductionSoftwareStochastic ProcessesErbB ReceptorsExtracellular Signal-Regulated MAP KinasesAgent-based modellingBrownian DynamicsEGFRTumour growth

Identifiers

PMID31016574
PMCPMC6612322
OpenAlexW2941179769

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.