Evidence map›Paper›PMID 33539342›Full record

ArticlePLoS computational biology2021

Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling.

Günter Schneckenreither, Philipp Tschandl, Claire Rippinger, Christoph Sinz, Dominik Brunmeir, Nikolas Popper, Harald Kittler

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. 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
0.4field-weighted citation impact, top 39% 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, 5 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

7 authors at 2 institutions in 1 country.

Günter SchneckenreitherInstitute of Information Systems Engineering, TU Wien, Vienna, Austria.ORCID 0000-0002-9217-9399
Philipp TschandlDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-0391-7810
Claire Rippingerdwh simulation service, dwh GmbH, Vienna, Austria.ORCID 0000-0001-9916-562X
Christoph SinzDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-5589-1865
Dominik Brunmeirdwh simulation service, dwh GmbH, Vienna, Austria.ORCID 0000-0002-9005-4066
Nikolas PopperInstitute of Information Systems Engineering, TU Wien, Vienna, Austria.ORCID 0000-0003-4615-2774
Harald KittlerDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-0051-8016
Medical University of Vienna · ATTU Wien · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatio-temporal patterns of melanocytic proliferations observed in vivo are important for diagnosis but the mechanisms that produce them are poorly understood. Here we present an agent-based model for simulating the emergence of the main biologic patterns found in melanocytic proliferations. Our model portrays the extracellular matrix of the dermo-epidermal junction as a two-dimensional manifold and we simulate cellular migration in terms of geometric translations driven by adhesive, repulsive and random forces. Abstracted cellular functions and melanocyte-matrix interactions are modeled as stochastic events. For identification and validation we use visual renderings of simulated cell populations in a horizontal perspective that reproduce growth patterns observed in vivo by sequential dermatoscopy and corresponding vertical views that reproduce the arrangement of melanocytes observed in histopathologic sections. Our results show that a balanced interplay of proliferation and migration produces the typical reticular pattern of nevi, whereas the globular pattern involves additional cellular mechanisms. We further demonstrate that slight variations in the three basic cellular properties proliferation, migration, and adhesion are sufficient to produce a large variety of morphological appearances of nevi. We anticipate our model to be a starting point for the reproduction of more complex scenarios that will help to establish functional connections between abstracted microscopic behavior and macroscopic patterns in all types of melanocytic proliferations including melanoma.

Indexed as

Cell ProliferationAdultCell AdhesionCell DifferentiationCell MovementComputer SimulationDermoscopyHumansMaleMelanocytesMelanomaModels, BiologicalPopulation DynamicsSkinSkin NeoplasmsStochastic Processes

Identifiers

PMID33539342
PMCPMC7888658
OpenAlexW3128674285

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.