Multiscale tumor modeling

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Enformatik Enstitüsü, Sağlık Bilişimi Anabilim Dalı, Türkiye

Tezin Onay Tarihi: 2014

Öğrenci: SERBÜLENT ÜNSAL

Danışman: AYBAR CAN ACAR

Özet:

Cancer’s complex behavior decreases success rates of the cancer therapies. The usual steps cancer therapy are, deciding phase of the cancer and planing the therapy according to medical guidelines and there is no room or chance for personalized medicine. Simulation systems that use patient specific data as input and up-to-date scientific evidence as business rules has chance to help clinicians for evidence based personalized medicine practice.In this study our aim is creating a basic model to guide researchers who are eager to start tumor modeling. Developed model tries to simulate adenocarcinoma which is a subtype of non-small cell lung carcinoma. Parameters of model gathered from literature is based on A549. In simulations effects of oxygen concentration and mutation rate are examined. Tumor cell number decreases and apoptosis frequency increases proportionally with oxygen concentration’s decrease. When mutation rate decreases tumors become more vulnerable and apoptosis rate increases. All these results proves that model is consistent with tumor biology rules.