Kreeger:Research
From OpenWetWare
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Ovarian cancer has a mortality rate of greater than 50%, primarily due to the late stage at which it is diagnosed. This late diagnosis complicates treatment - patients accumulate different mutations in their tumors and tumor cells receive a variety of stimuli from other cell types during disease progression, making it impossible to define a blanket treatment for everyone. We are working to address this complex scenario through several complementary approaches. First, we are characterizing a panel of ovarian cancer cell lines to capture this diversity and determine how cells respond to current drugs. By delineating molecular signatures that correspond to drug sensitivities we hope to better match patients to drugs and improve prognosis. Secondly, we are examining cross-talk between signaling pathways in the tumor cell to determine signals that are responsible for controlling proliferation, providing new drug targets for ovarian cancer. Finally, we are developing in vitro culture systems to study interactions between ovarian cancer tumor cells and other cells in the tumor microenvironment in order to identify new approaches to control tumor growth. Analysis of Cell-Cell Interactions in Endometriosis Endometriosis is a chronic gynecological condition that affects 5-10% of women resulting in pelvic pain and infertility. In endometriosis, endometrial tissue is found outside of the uterus, attached to the ovaries, uterine ligaments, and virtually any other region of the body. This ectopic endometrium triggers local inflammation in response to cyclic changes in estrogen, resulting in severe pain. Despite its prevalence and significant impact on women’s health, relatively little is known about how the disease develops or how to intervene due to a lack of model systems. We are developing an in vitro model that incorporates the epithelial, stromal, and macrophage components of the disease in order to examine how cell-cell interactions impact disease progression. Using this system, we hope to determine which interactions drive endometriosis and identify therapeutic targets.
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