Gene expression profiles have identified five major molecular subtypes of breast cancer (Luminal A, Luminal B, Basal-like, HER2+/ER-, Normal Breast-like) that show significant differences in survival. Mounting evidence also suggests that these subtypes vary in their responsiveness to chemotherapeutics and biologic agents. In fact, specific drug targets, like HER1 and HER2, within different subtypes suggests that logical combinations of chemotherapeutics and biologic agents may be subtype-specific, which must be empirically evaluated. Nonetheless, picking the right chemotherapeutic(s) and biologic agent combination for each subtype has yet to be experimentally or clinically determined. Therefore, we propose here to identify efficacious combination therapies for the tumor subtypes by testing at least 8 different regimens on a preclinical animal models system composed of primary human tumor xenografts, breast tumor-derived cell lines grown as xenografts, and transgenic mice that develop mammary carcinomas with known molecular subtypes. These experimental results will be augmented with human clinical trial data from several different trials that test a variety of chemotherapy and biologic therapy combinations, which should ultimately allow us to develop genomic assays that could be used to select patients for specific chemotherapy regimens, and to identify tumor subtype sensitivities that will be prospectively tested in the next generation of clinical trials.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA058223-17
Application #
7904774
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2009-08-01
Budget End
2010-07-31
Support Year
17
Fiscal Year
2009
Total Cost
$519,479
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Lei, Jonathan T; Shao, Jieya; Zhang, Jin et al. (2018) Functional Annotation of ESR1 Gene Fusions in Estrogen Receptor-Positive Breast Cancer. Cell Rep 24:1434-1444.e7
Troester, Melissa A; Sun, Xuezheng; Allott, Emma H et al. (2018) Racial Differences in PAM50 Subtypes in the Carolina Breast Cancer Study. J Natl Cancer Inst 110:
Williams, Michelle M; Lee, Linus; Werfel, Thomas et al. (2018) Intrinsic apoptotic pathway activation increases response to anti-estrogens in luminal breast cancers. Cell Death Dis 9:21
Allott, Emma H; Geradts, Joseph; Cohen, Stephanie M et al. (2018) Frequency of breast cancer subtypes among African American women in the AMBER consortium. Breast Cancer Res 20:12
Matsunuma, Ryoichi; Chan, Doug W; Kim, Beom-Jun et al. (2018) DPYSL3 modulates mitosis, migration, and epithelial-to-mesenchymal transition in claudin-low breast cancer. Proc Natl Acad Sci U S A 115:E11978-E11987
Panda, Anshuman; de Cubas, Aguirre A; Stein, Mark et al. (2018) Endogenous retrovirus expression is associated with response to immune checkpoint blockade in clear cell renal cell carcinoma. JCI Insight 3:
Sharma, Priyanka; López-Tarruella, Sara; García-Saenz, José Angel et al. (2018) Pathological Response and Survival in Triple-Negative Breast Cancer Following Neoadjuvant Carboplatin plus Docetaxel. Clin Cancer Res 24:5820-5829
Siegel, Marni B; He, Xiaping; Hoadley, Katherine A et al. (2018) Integrated RNA and DNA sequencing reveals early drivers of metastatic breast cancer. J Clin Invest 128:1371-1383
Kumar, Sunil; Lindsay, Daniel; Chen, Q Brent et al. (2018) Tracking plasma DNA mutation dynamics in estrogen receptor positive metastatic breast cancer with dPCR-SEQ. NPJ Breast Cancer 4:39
Smith, Christof C; Beckermann, Kathryn E; Bortone, Dante S et al. (2018) Endogenous retroviral signatures predict immunotherapy response in clear cell renal cell carcinoma. J Clin Invest 128:4804-4820

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