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A glycolysis-based In silico model for the solid tumor growth

Zervakis Michalis, Michail Kounelakis, Maria Papadogiorgaki, Panagiotis Koliou

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URIhttp://purl.tuc.gr/dl/dias/BCB92A51-4ADE-4980-BE56-1B720BA02637-
Identifierhttps://doi.org/10.1109/JBHI.2014.2356254-
Languageen-
Extent12 pagesen
TitleA glycolysis-based In silico model for the solid tumor growthen
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
CreatorMichail Kounelakisen
CreatorMaria Papadogiorgakien
CreatorPanagiotis Koliouen
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryCancer-tumor growth is a complex process depending on several biological factors, such as the chemical microenvironment of the tumor, the cellular metabolic profile, and its proliferation rate. Several mathematical models have been developed for identifying the interactions between tumor cells and tissue microenvironment, since they play an important role in tumor formation and progression. Toward this direction we propose a new continuum model of avascular glioma-tumor growth, which incorporates a new factor, namely, the glycolytic potential of cancer cells, to express the interactions of three different tumor-cell populations (proliferative, hypoxic, and necrotic) with their tissue microenvironment. The glycolytic potential engages three vital nutrients, i.e., oxygen, glucose, and lactate, which provide cells with the necessary energy for their survival and proliferation. Extensive simulations are performed for different evolution times and various proliferation rates, in order to investigate how the tumor growth is affected. According to medical experts, the experimental observations indicate that the model predicts quite satisfactorily the overall tumor growth as well as the expansion of each region separately. Following extensive evaluation, the proposed model may provide an essential tool for patient-specific tumor simulation and reliable prediction of glioma spatiotemporal expansion.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-25-
Date of Publication2014-
SubjectBasic medical sciencesen
SubjectBasic sciences, Medicalen
SubjectBiomedical sciencesen
SubjectHealth sciencesen
SubjectPreclinical sciencesen
SubjectSciences, Medicalen
Subjectmedical sciencesen
Subjectbasic medical sciencesen
Subjectbasic sciences medicalen
Subjectbiomedical sciencesen
Subjecthealth sciencesen
Subjectpreclinical sciencesen
Subjectsciences medicalen
Bibliographic CitationM. Papadogiorgaki, M. Kounelakis, P. Koliou, M. Zervakis ,"A glycolysis based in-silico model for the solid tumor growth ,"Biom. and Health Infor.,vol19.no.3,pp.1106 - 1117,2014.doi:10.1109/JBHI.2014.2356254en

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