A Cellular Automata Model of Oncolytic Virotherapy in Pancreatic Cancer.

J Chen, D Weihs, F J Vermolen

Open access · hybridAbstract read

In one paragraph

Article in Bulletin of mathematical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

2.2field-weighted citation impact, top 12% 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

1 citing paper in PubMed, 14 citations in OpenAlex.

Simulation of Somatic Evolution Through the Introduction of Random Mutation to the Rules of Conway's Game of Life.Cellular and molecular bioengineering · 2024
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 3 institutions in 3 countries.

J ChenDepartment of Biomedical Engineering and Physics, Amsterdam UMC, Amsterdam, The Netherlands. J.chen-6@tudelft.nl.ORCID 0000-0002-4033-5636

D WeihsFaculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.

F J VermolenDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.

Amsterdam University Medical Centers · NLHasselt University · BETechnion – Israel Institute of Technology · IL

Funding

China Scholarship Council 201607720043

6 · The paper itself

Abstract

Oncolytic virotherapy is known as a new treatment to employ less virulent viruses to specifically target and damage cancer cells. This work presents a cellular automata model of oncolytic virotherapy with an application to pancreatic cancer. The fundamental biomedical processes (like cell proliferation, mutation, apoptosis) are modeled by the use of probabilistic principles. The migration of injected viruses (as therapy) is modeled by diffusion through the tissue. The resulting diffusion-reaction equation with smoothed point viral sources is discretized by the finite difference method and integrated by the IMEX approach. Furthermore, Monte Carlo simulations are done to quantitatively evaluate the correlations between various input parameters and numerical results. As we expected, our model is able to simulate the pancreatic cancer growth at early stages, which is calibrated with experimental results. In addition, the model can be used to predict and evaluate the therapeutic effect of oncolytic virotherapy.

Indexed as

Models, BiologicalOncolytic VirotherapyPancreatic NeoplasmsHumansMathematical ConceptsMonte Carlo MethodCancer treatmentCellular automataComputational modelingMonte Carlo simulationsVirotherapy

Identifiers

PMID32737595

DOI10.1007/s11538-020-00780-5

PMCPMC7395005

OpenAlexW3046695786

What OpenQuestion holds

Textmetadata

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.