Degree Type
Creative Component
Semester of Graduation
Fall 2018
Department
Biomedical Sciences
First Major Professor
Gunnar Mair
Degree(s)
Master of Science (MS)
Major(s)
Biomedical Sciences
Abstract
Ovarian cancer has proved to be one of the most difficult cancers to treat. It is often diagnosed in the late stages. When it is detected early, the 5-year survival rate is 93%. However, it is only detected early 15% of the time. For this reason, there is an emphasis on finding better tumor markers that can identify cancerous cells early. Ovarian cancers come from 3 different cell types. There are a variety of cancer subtypes from each type of cell. A onesize fits all treatment method isn’t feasible with so much variation. Models of ovarian cancer help understand the pathway of cancer development, find tumor markers for early detection, improve imagining techniques, and test drug therapies. Current models include transgenic mice, xenograft mice, chick chorioallantoic membrane, the laying hen, and 3-D human tissue cultures. Unfortunately, there are plenty of flaws with these models that researchers are trying to overcome. Determining which model is the best representation of human ovarian cancer is crucial for making progress in treating ovarian cancer. In this review I will provide an overview of current models for ovarian cancer. I will be looking at current research done with these models to explore their benefits and disadvantages.
Copyright Owner
Ruth Hines
Copyright Year
2018
File Format
application/pdf
Recommended Citation
Hines, Ruth, "Current Models of Ovarian Cancer" (2018). Creative Components. 65.
https://lib.dr.iastate.edu/creativecomponents/65
Included in
Investigative Techniques Commons, Obstetrics and Gynecology Commons, Oncology Commons, Women's Health Commons