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


Journal

PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922

Informations de publication

Date de publication:
02 2021
Historique:
received: 20 02 2020
accepted: 04 01 2021
revised: 17 02 2021
pubmed: 5 2 2021
medline: 7 7 2021
entrez: 4 2 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33539342
doi: 10.1371/journal.pcbi.1008660
pii: PCOMPBIOL-D-20-00266
pmc: PMC7888658
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1008660

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Günter Schneckenreither (G)

Institute of Information Systems Engineering, TU Wien, Vienna, Austria.
Institute of Analysis and Scientific Computing, TU Wien, Vienna, Austria.
dwh simulation service, dwh GmbH, Vienna, Austria.

Philipp Tschandl (P)

Department of Dermatology, Medical University of Vienna, Vienna, Austria.

Claire Rippinger (C)

dwh simulation service, dwh GmbH, Vienna, Austria.

Christoph Sinz (C)

Department of Dermatology, Medical University of Vienna, Vienna, Austria.

Dominik Brunmeir (D)

dwh simulation service, dwh GmbH, Vienna, Austria.

Nikolas Popper (N)

Institute of Information Systems Engineering, TU Wien, Vienna, Austria.
dwh simulation service, dwh GmbH, Vienna, Austria.

Harald Kittler (H)

Department of Dermatology, Medical University of Vienna, Vienna, Austria.

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Classifications MeSH