Mathematical models applied to thyroid cancer

Mathematical models of cancer metabolism.

Metabolism is essential for life, and its alteration is implicated in multiple human diseases. The transformation from a normal to a cancerous cell requires metabolic changes to fuel the high metabolic demands of cancer cells, including but not limited to cell proliferation and cell migration. In recent years, there have been a number of new discoveries connecting known aberrations in oncogenic...

Mathematical models on cancer progression

The Cancer Stem Cell (CSC) involvement into tumor progression, tumor recurrence, and therapy resistance is one of the most studied subject of current cancer research [10,4,8,6]. Nevertheless, due to the complex dynamics characterizing the CSC tumor, a comprehensive theory has not been established yet. To this end, some advises can be obtained combining mathematical modeling and experimental dat...

Mathematical models of cancer dormancy.

The objective of this paper is to present preliminary mathematical models of the interaction between tumor and antibody for the murine BCL1 lymphoma and illustrate how this interaction leads to dormancy of the tumor. We explicitly model the induction by the immune response of cell cycle arrest and apoptosis of the tumor cells. In the absence of large amounts of quantitative data and because the...

multiple imputation in survival models: applied on breast cancer data

Thyroid cancer cell lines: Critical models to study thyroid cancer biology and new therapeutic targets

Thyroid cancer is the most common endocrine malignancy and the incidence is rising. Currently, there are no effective treatments for patients with advanced forms of thyroid cancer. Anaplastic thyroid represents the most severe form of the disease with 95% mortality at 6 months. It is therefore critical to better understand the mechanisms involved in thyroid cancer development and progression in...