A mathematical model describes the malignant transformation of low grade gliomas: Prognostic implications

Autor: Alicia Martínez-González, Michael Murek, Philippe Schucht, Jürgen Beck, Marek Bodnar, Monika Joanna Piotrowska, Magdalena U. Bogdańska, Víctor M. Pérez-García
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Oncology
Carcinogenesis
Cancer Treatment
lcsh:Medicine
Malignant transformation
Diagnostic Radiology
0302 clinical medicine
Mathematical and Statistical Techniques
Cell density
Medicine and Health Sciences
lcsh:Science
610 Medicine & health
Neurological Tumors
Cultured Tumor Cells
Multidisciplinary
Brain Neoplasms
Mathematical Models
Radiology and Imaging
Astrocytoma
Glioma
Prognosis
Magnetic Resonance Imaging
Cell Transformation
Neoplastic
Neurology
030220 oncology & carcinogenesis
Disease Progression
Biological Cultures
Neoplastic Transformation
Research Article
medicine.medical_specialty
Imaging Techniques
Research and Analysis Methods
Models
Biological
03 medical and health sciences
Diagnostic Medicine
Internal medicine
medicine
Cancer Detection and Diagnosis
Humans
Neoplastic transformation
Computer Simulation
Cell Proliferation
business.industry
lcsh:R
Cancers and Neoplasms
Patient data
Who grade
Models
Theoretical
Cell Cultures
medicine.disease
Glioma Cells
Critical level
lcsh:Q
business
030217 neurology & neurosurgery
Zdroj: PLoS ONE
PLoS ONE, Vol 12, Iss 8, p e0179999 (2017)
Bogdańska, Magdalena U; Bodnar, Marek; Piotrowska, Monika J; Murek, Michael; Schucht, Philippe; Beck, Jürgen; Martínez-González, Alicia; Pérez-García, Víctor M (2017). A mathematical model describes the malignant transformation of low grade gliomas: Prognostic implications. PLoS ONE, 12(8), e0179999. Public Library of Science 10.1371/journal.pone.0179999
DOI: 10.7892/boris.107937
Popis: Gliomas are the most frequent type of primary brain tumours. Low grade gliomas (LGGs, WHO grade II gliomas) may grow very slowly for the long periods of time, however they inevitably cause death due to the phenomenon known as the malignant transformation. This refers to the transition of LGGs to more aggressive forms of high grade gliomas (HGGs, WHO grade III and IV gliomas). In this paper we propose a mathematical model describing the spatio-temporal transition of LGGs into HGGs. Our modelling approach is based on two cellular populations with transitions between them being driven by the tumour microenvironment transformation occurring when the tumour cell density grows beyond a critical level. We show that the proposed model describes real patient data well. We discuss the relationship between patient prognosis and model parameters. We approximate tumour radius and velocity before malignant transformation as well as estimate the onset of this process.
Databáze: OpenAIRE
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