Mathematical Modeling and Simulation of Hyperbaric Oxygen Therapy in Tumor Growth Process

, M.Sc. Thesis Sharif University of Technology Baghani, Elham (Author) ; Abdekhodaei, Mohammad Jafar (Supervisor) ; Saadatmand, Maryam (Co-Supervisor)

Abstract

Today cancer is one of the leading causes of death worldwide. It is caused by some cells that they gather together in part of the body and they have an abnormal and very high proliferation rate. Investigations on tumors have shown that when tumor volume increases, oxygen concentration in some regions of tumors decreases and this hypoxic condition leads to some cancer hallmarks, e.g. angiogenesis, deregulation of apoptosis, and shift in cell energy sources. So treatment strategies that can increase tissue oxygenation are good choices for cancers. Hyperbaric oxygen therapy (HBOT) which is used to treat diabetic ulcers and carbon monoxide poisoning, have been used experimentally for cancer and...

Investigation of Molecular Interactions of VEGFR and its Inhibitors by Molecular Dynamics Simulation

, M.Sc. Thesis Sharif University of Technology Didandeh, Mohsen (Author) ; Bastani, Daruoosh (Supervisor) ; Mashayekhan, Shohreh (Co-Supervisor) ; Karami, Layla (Co-Supervisor)

Abstract

One of the chief kinds of receptors in cancer angiogenesis is the tyrosine kinase VEGFR-2. This target receptor is presented in both forms; active and inactive. adenosine triphosphate (ATP) residue is the location of deformational change from inactive to active form. Small molecule inhibitors have been designed for various forms of this receptor. In current study, the interaction of small molecular inhibitors including; Regorafenib, Cabozantinib and Thiosanib with dual VEGFR-2 receptor forms was investigated by molecular dynamics with Gromacs software. Cabozantinib and Regorafenib inhibitors had a lower binding energy in interaction with the inactive state however, Thiosanib inhibitors in...

Multi-scale Simulation of Tumor Microenvironment

, M.Sc. Thesis Sharif University of Technology Nikmaneshi, Mohammad Reza (Author) ; Firoozabadi, Bahar (Supervisor) ; Mozafari, Ali Asghar (Co-Supervisor)

Abstract

Search for effective methods for treating cancer requires a deep understanding of the tumor microenvironment and its role in cancerous tumor growth and progression. Mathematical modeling methods, which have fewer limitations than experimental methods for examining the microcirculation of cancer in detail, are suggested to answer many questions about the behavior and dynamics of cancerous tumors. In the present study, a multi-scale mathematical model of the three-dimensional tumor microenvironment, including molecular, cellular, and tissue scales, is presented. In this model, important aspects of tumor microenvironmental dynamics including tumor growth, angiogenesis, cancer metabolism, and...

Mathematical Modeling and Simulation of Tumor Angiogenesis

, M.Sc. Thesis Sharif University of Technology Marzieh Abdolhamdi (Author) ; Fotouhi, Morteza (Supervisor)

Abstract

A major medical revolution that is helping us overcome some of the worst diseases, including cancer, is angiogenesis, which is based on the processes our bodies use to develop blood vessels. Most human cancers have acquired six essential capabilities: self-sufficiency in growth signals, insensitivity to growth-inhibitory signals, programmed cell death escape, unlimited replication potential, persistent angiogenesis, and tissue invasion that can induce metastasis. In other words, the defense mechanism that prevents any of these acquired capabilities must be neutralized before the cells become malignant and invasive tumors. In fact, tumors in the non-vascular growth stage can only grow up to...