Early Life Estrogenicity and Mammary Cancer Risk. While the timing of estrogen exposures has profound and often opposing effects on breast cancer suscepfibility, the molecular changes and programming that are altered by these exposures are almost entirely unknown. Dr. Hilakivi-Clarke and her team will focus on identifying key transcription factor-based signaling associated with increased mammary cancer risk in the mammary glands of rodents exposed to an elevated estrogenic environment in utero. We will determine the effects of these exposures on altering the sensitivity of the adult gland to E2, and on the endocrine responsiveness of mammary tumors arising in these glands. Data from these studies will be used to build computational models of ER-driven signaling associated with the effects of estrogens on increasing mammary gland susceptibility to neoplastic transformation and on endocrine responsiveness of mammary tumors. These data will also provide and unique powerful insights into the modeling in Projects 1 and 2.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA149147-03
Application #
8377522
Study Section
Special Emphasis Panel (ZCA1-SRLB-C)
Project Start
Project End
Budget Start
2012-03-01
Budget End
2013-02-28
Support Year
3
Fiscal Year
2012
Total Cost
$115,643
Indirect Cost
Name
Georgetown University
Department
Type
DUNS #
049515844
City
Washington
State
DC
Country
United States
Zip Code
20057
Cook, Katherine L; Soto-Pantoja, David R; Clarke, Pamela A G et al. (2016) Endoplasmic Reticulum Stress Protein GRP78 Modulates Lipid Metabolism to Control Drug Sensitivity and Antitumor Immunity in Breast Cancer. Cancer Res 76:5657-5670
Cook, Katherine L; Schwartz-Roberts, Jessica L; Baumann, William T et al. (2016) Linking autophagy with inflammation through IRF1 signaling in ER+ breast cancer. Mol Cell Oncol 3:e1023928
Bhuvaneshwar, Krithika; Belouali, Anas; Singh, Varun et al. (2016) G-DOC Plus - an integrative bioinformatics platform for precision medicine. BMC Bioinformatics 17:193
(2016) Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Autophagy 12:1-222
Chen, Xi; Jung, Jin-Gyoung; Shajahan-Haq, Ayesha N et al. (2016) ChIP-BIT: Bayesian inference of target genes using a novel joint probabilistic model of ChIP-seq profiles. Nucleic Acids Res 44:e65
Beck, Tim N; Korobeynikov, Vladislav A; Kudinov, Alexander E et al. (2016) Anti-Müllerian Hormone Signaling Regulates Epithelial Plasticity and Chemoresistance in Lung Cancer. Cell Rep 16:657-71
Zhang, Y-W; Nasto, R E; Varghese, R et al. (2016) Acquisition of estrogen independence induces TOB1-related mechanisms supporting breast cancer cell proliferation. Oncogene 35:1643-56
Bhuvaneshwar, Krithika; Sulakhe, Dinanath; Gauba, Robinder et al. (2015) A case study for cloud based high throughput analysis of NGS data using the globus genomics system. Comput Struct Biotechnol J 13:64-74
Shi, Xu; Barnes, Robert O; Chen, Li et al. (2015) BMRF-Net: a software tool for identification of protein interaction subnetworks by a bagging Markov random field-based method. Bioinformatics 31:2412-4
Dabydeen, Sarah A; Kang, Keunsoo; Díaz-Cruz, Edgar S et al. (2015) Comparison of tamoxifen and letrozole response in mammary preneoplasia of ER and aromatase overexpressing mice defines an immune-associated gene signature linked to tamoxifen resistance. Carcinogenesis 36:122-32

Showing the most recent 10 out of 96 publications