Computer simulation of the metastatic progression

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Computer simulation of the metastatic progression. / Wedemann, Gero; Bethge, Anja; Haustein, Volker; Schumacher, Udo.

In: Methods Mol Biol, Vol. 1070, 01.01.2014, p. 107-16.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

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@article{ac44bc4c379d44e6be0e331fd360903d,
title = "Computer simulation of the metastatic progression",
abstract = "A novel computer model based on a discrete event simulation procedure describes quantitatively the processes underlying the metastatic cascade. Analytical functions describe the size of the primary tumor and the metastases, while a rate function models the intravasation events of the primary tumor and metastases. Events describe the behavior of the malignant cells until the formation of new metastases. The results of the computer simulations are in quantitative agreement with clinical data determined from a patient with hepatocellular carcinoma in the liver. The model provides a more detailed view on the process than a conventional mathematical model. In particular, the implications of interventions on metastasis formation can be calculated.",
keywords = "Animals, Computer Simulation, Disease Progression, Humans, Models, Biological, Neoplasm Metastasis, Time Factors",
author = "Gero Wedemann and Anja Bethge and Volker Haustein and Udo Schumacher",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-1-4614-8244-4_8",
language = "English",
volume = "1070",
pages = "107--16",
journal = "Methods Mol Biol",
issn = "1064-3745",
publisher = "Humana Press",

}

RIS

TY - JOUR

T1 - Computer simulation of the metastatic progression

AU - Wedemann, Gero

AU - Bethge, Anja

AU - Haustein, Volker

AU - Schumacher, Udo

PY - 2014/1/1

Y1 - 2014/1/1

N2 - A novel computer model based on a discrete event simulation procedure describes quantitatively the processes underlying the metastatic cascade. Analytical functions describe the size of the primary tumor and the metastases, while a rate function models the intravasation events of the primary tumor and metastases. Events describe the behavior of the malignant cells until the formation of new metastases. The results of the computer simulations are in quantitative agreement with clinical data determined from a patient with hepatocellular carcinoma in the liver. The model provides a more detailed view on the process than a conventional mathematical model. In particular, the implications of interventions on metastasis formation can be calculated.

AB - A novel computer model based on a discrete event simulation procedure describes quantitatively the processes underlying the metastatic cascade. Analytical functions describe the size of the primary tumor and the metastases, while a rate function models the intravasation events of the primary tumor and metastases. Events describe the behavior of the malignant cells until the formation of new metastases. The results of the computer simulations are in quantitative agreement with clinical data determined from a patient with hepatocellular carcinoma in the liver. The model provides a more detailed view on the process than a conventional mathematical model. In particular, the implications of interventions on metastasis formation can be calculated.

KW - Animals

KW - Computer Simulation

KW - Disease Progression

KW - Humans

KW - Models, Biological

KW - Neoplasm Metastasis

KW - Time Factors

U2 - 10.1007/978-1-4614-8244-4_8

DO - 10.1007/978-1-4614-8244-4_8

M3 - SCORING: Journal article

C2 - 24092435

VL - 1070

SP - 107

EP - 116

JO - Methods Mol Biol

JF - Methods Mol Biol

SN - 1064-3745

ER -