Ovarian cancer is the leading cause of death from gynecological malignancies among females in the world. It is this fact and the lack of symptoms and reliable clinical markers in the early stages of the disease that make studying ovarian cancer so important. Several mouse models have been generated and have proven to be quite valuable in understanding the mechanisms that underlie neoplasmic transformation, progression and metastasis of various other human cancers. However, currently there are only a few mouse models of ovarian cancer available. The proposed research aims to develop a new generation of mouse models of ovarian cancer. I will establish an inducible system to delete tumor suppressor genes specifically in the surface epithelium of the ovary where human ovarian tumors are thought to arise. The generation of such a mouse model will provide insight into the genetic and molecular alterations that take place in ovarian cancer. Likewise, they will ultimately be highly beneficial to the identification of early diagnostic markers, prognostic markers, and other genetic changes that could potentially be used for human ovarian cancer studies. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
5F31CA110625-03
Application #
7121146
Study Section
Special Emphasis Panel (ZRG1-F09 (20))
Program Officer
Bini, Alessandra M
Project Start
2004-09-01
Project End
2007-08-31
Budget Start
2006-09-01
Budget End
2007-08-31
Support Year
3
Fiscal Year
2006
Total Cost
$25,474
Indirect Cost
Name
University of Medicine & Dentistry of NJ
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
617022384
City
Piscataway
State
NJ
Country
United States
Zip Code
08854
Kinkade, Carolyn Waugh; Castillo-Martin, Mireia; Puzio-Kuter, Anna et al. (2008) Targeting AKT/mTOR and ERK MAPK signaling inhibits hormone-refractory prostate cancer in a preclinical mouse model. J Clin Invest 118:3051-64