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An in-silico model for solid tumor growth based on the concept of glycolysis

Michail G. Kounelakis, Zervakis Michalis, Papadogiorgaki Maria

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/0E5A4C7A-2C9C-45D1-BA4D-CF460E9CE445-
Αναγνωριστικόhttps://doi.org/10.1109/BIBE.2013.6701680-
Γλώσσαen-
Μέγεθος4 pagesen
ΤίτλοςAn in-silico model for solid tumor growth based on the concept of glycolysisen
ΔημιουργόςMichail G. Kounelakisen
ΔημιουργόςZervakis Michalisen
ΔημιουργόςΖερβακης Μιχαληςel
ΔημιουργόςPapadogiorgaki Mariaen
ΔημιουργόςΠαπαδογιωργακη Μαριαel
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηCancer growth is a complex process which depends on several tasks that cancer cells have to perform in order to live and proliferate. Among these tasks, perhaps the most significant one is to reach adequate sources of nutrients, such as oxygen and glucose, from their surrounding environment in order to initiate their respiration process and provide them with the necessary energy in the form of ATP molecules. Cellular respiration is a biological mechanism that consists of two sequential processes, named `glycolysis' and `oxidative phosporylation' (OXPHOS). Since 1956, when the biologist Otto Warburg discovered the increase of glycolysis in cancer cell compared to healthy cells, glycolysis has been studied in depth in order to understand its role in cancer genesis and growth. Towards this direction we propose a new in-silico cancer growth model which embeds the glycolytic potential of the cancer cells in the growth process. The experimental observations obtained show that the model fits the cancer data predicting the tumor's growth, in the proliferative, hypoxic and necrotic zone, quite satisfactory.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-24-
Ημερομηνία Δημοσίευσης2013-
Θεματική ΚατηγορίαBiomedicineen
Βιβλιογραφική ΑναφοράM.G. Kounelakis, M. Papadogiorgaki, M.E. Zervakis ,"An in-silico model for solid tumor growth based on the concept of glycolysis,in 2013 13th Intern. Conf. on Bioinformatics and Bioeng.,pp.1-4.doi:10.1109/BIBE.2013.6701680en

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