Evidence map›Paper›PMID 39593869›Full record

ArticleEntropy (Basel, Switzerland)2024

Exploring the Role of Genetic and Environmental Features in Colorectal Cancer Development: An Agent-Based Approach.

Marco Ledda, Alessandro Pluchino, Marco Ragusa

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marco LeddaDipartimento di Fisica e Astronomia Ettore Majorana, Università di Catania, 95123 Catania, Italy.ORCID 0009-0001-6610-1117
Alessandro PluchinoDipartimento di Fisica e Astronomia Ettore Majorana, Università di Catania, 95123 Catania, Italy.ORCID 0000-0001-9368-5800
Marco RagusaDipartimento di Scienze Biomediche e Biotecnologiche, Sezione di Biologia e Genetica, Università di Catania, 95123 Catania, Italy.ORCID 0000-0002-4282-920X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity of issues in cancer research has led to the introduction of powerful computational tools to help experimental in vivo and in vitro methods. These tools, which typically focus on studying cell behavior and dynamic cell populations, range from systems of differential equations that are solved numerically to lattice models and agent-based simulations. In particular, agent-based models (ABMs) are increasingly used due to their ability to incorporate multi-scale features, ranging from the individual to the population level. This approach allows for the combination of statistically aggregated assumptions with individual heterogeneity. In this work, we present an ABM that simulates tumor progression in a colonic crypt, to provide an experimental in silico environment for testing results achieved in traditional laboratory research and developing alternative scenarios of tumor development. The model also allows some speculations about causal relationships in biologically inspired systems.

Indexed as

agent-based modelscolorectal cancer (CRC)computational biology

Identifiers

PMID39593869
PMCPMC11593013

What OpenQuestion holds

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LicenceCC BY
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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.